<?xml version="1.0" encoding="utf-8"?>
<XML>
<JOURNAL>
<YEAR>1400</YEAR>
<VOL>8</VOL>
<NO>4</NO>
<MOSALSAL>30</MOSALSAL>
<PAGE_NO>408</PAGE_NO>


<ARTICLES>

	<ARTICLE> 
		<TitleF>مرور و بررسی محتوای اپلیکیشن‌های فارسی مختص بیماران مبتلا به ام اس با استفاده از مقیاس رتبه‌بندی اپلیکیشن موبایل</TitleF>
		<TitleE>Investigating the Quality of Persian Mobile Applications Related to Patients with MS</TitleE>
		<TitleLang_ID>1</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>1</Language_ID>
			<CONTENT>مقدمه: هم&#8204;زمان با افزایش استفاده از اپلیکیشن&#8204;های مربوط به سلامت، محققان درصدد بررسی آن&#8204;ها از زوایای مختلفِ عملکردی، فناوری، مزایا، خطرات و ... برآمدند تا سایر محققان و جامعه هدف آن اپلیکیشن&#8204;ها را از وضعیت موجود آگاه کنند. هدف از این مطالعه بررسی کیفیت اپلیکیشن&#8204;های فارسی مختص بیماری ام اس براساس مقیاس رتبه&#8204;بندی اپلیکیشن موبایل بود.
روش: این مطالعه بر روی اپلیکیشن&#8204;های فارسی زبان مربوط به بیماری ام اس در شهریور 1399 انجام گرفت. برای شناسایی این اپلیکیشن&#8204;ها از جستجوی ترکیبی کلمات کلیدی مرتبط با &#171;بیماری ام اس&#187; و &#171;اپلیکیشن موبایل&#187; استفاده شد. به دلیل عمومیت داشتن استفاده از پلتفرم اندروید برای تلفن همراه در ایران، پژوهشگران کلمات کلیدی ذکر شده را در نرم&#8204;افزار &#171;کافه بازار&#187; جستجو کردند. برای بررسی کیفیت اپلیکیشن&#8204;ها از مقیاس رتبه&#8204;بندی اپلیکیشن موبایل استفاده شد.
نتایج: تعداد 10 اپلیکیشن به مطالعه وارد شد. نتایج نشان داد که هر اپلیکیشن دارای ترکیبی از اهداف، مانند پیشگیری (6=n)، تشخیص (7=n)، درمان اولیه (10=n) و کنترل بیماری (1=n) به منظور افزایش آگاهی نسبت به این بیماری بوده است. هدف مشترک همه اپلیکیشن&#8204;ها، اطلاعات مربوط به درمان اولیه بود. نسخه نصب اولیه تمامی 10 اپلیکیشن رایگان بود، هشت اپلیکیشن برای ارتقاء اطلاعات نیاز به خرید درون برنامه&#8204;ای داشتند. با توجه به نمره MARS، هیچ کدام از اپلیکیشن&#8204;ها برای کمک به بیماران مناسب نبودند.
نتیجه&#8204;گیری: نتایج نشان داد که اکثر طراحان اپلیکیشن&#8204;های فارسی، به جنبه&#8204;های تعاملی اپلیکیشن&#8204;ها توجه داشته&#8204;اند و از ارائه محتوای علمی غافل شده&#8204;اند. به سازندگان این اپلیکیشن&#8204;ها پیشنهاد می&#8204;شود که ابتدا آن&#8204;ها را ارزیابی نموده سپس در دسترس عموم قرار دهند تا اپلیکیشن&#8204;های با کیفیت پایین در دسترس بیماران قرار نگیرد.</CONTENT>
			</ABSTRACT>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Introduction: As the use of health-related applications increased, researchers sought to analyze them from different angles such as function, technology, benefits, risks, etc., so that other researchers and the target community could be aware of the current status of these applications. This study aimed to evaluate the quality of Persian mobile applications designed for MS disease based on the Mobile Application Ranking Scale (MARS).
Method: This study was conducted on Persian mobile applications related to MS in January 2020. To identify these applications, a combined search of keywords related to &#34;MS&#34; and &#34;mobile application&#34; was done. Considering the popularity of the Android platform for mobile phones in Iran, researchers searched for the mentioned keywords in the &#34;Cafebazaar&#34; application. The Mobile Application Ranking Scale was adopted to evaluate the quality of applications.
Results: Ten applications were included in this study. The results showed that each application had a combination of goals, such as prevention (n=6), diagnosis (n=7), initial treatment (n=10), and disease control (n=1) to increase awareness of the disease. One of the goals of all applications was to inform the users about the initial treatment. The initial installation version of all ten apps was free, but eight of them needed in-app purchases to upgrade information. According to the MARS scores, none of the apps were suitable for helping patients.
Conclusion: The results showed that most Persian application designers have paid attention to the interactive aspects of applications and have neglected to provide scientific content. Developers of these applications are advised to evaluate them in the first place and then make them available to the public so that low-quality applications would not be available to patients.
&#160;</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>338</FPAGE>
			<TPAGE>346</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2022/01/11
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1400/10/21
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2022/03/12
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1400/12/21
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>مبینا</Name>
				<MidName></MidName>
				<Family>زیدآبادی نژاد</Family>
				<NameE>Mobina</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Zeidabadi nejad</FamilyE>
				<Organizations>
				<Organization>دانشجوی کارشناسی فناوری اطلاعات سلامت، گروه علوم اطلاعات سلامت، کمیته تحقیقات دانشجویی، دانشکده مدیریت و اطلاعات رسانی پزشکی، دانشگاه علوم پزشکی کرمان، کرمان، ایران</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>mobinazeidabadi7918@gmail.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>کامبیز</Name>
				<MidName></MidName>
				<Family>بهاءالدین بیگی</Family>
				<NameE>Kambiz</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Bahaadinbeigy</FamilyE>
				<Organizations>
				<Organization>دکتری انفورماتیک پزشکی، دانشیار، مرکز تحقیقات انفورماتیک پزشکی، پژوهشکده آینده‌پژوهی در سلامت، دانشگاه علوم پزشکی کرمان، کرمان، ایران</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>kambizb321@gmail.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>مژگان</Name>
				<MidName></MidName>
				<Family>چشمه کبودی</Family>
				<NameE>Mojgan</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Cheshmekaboodi</FamilyE>
				<Organizations>
				<Organization>کارشناس ارشد انفورماتیک پزشکی، مرکز ثبت بیماری‌ها و پیامدهای سلامت، دانشگاه علوم پزشکی ارومیه، ارومیه، ایران</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>c.mojgan@yahoo.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>پرستو</Name>
				<MidName></MidName>
				<Family>امیری</Family>
				<NameE>Parasto</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Amiri</FamilyE>
				<Organizations>
				<Organization>دانشجوی دکتری انفورماتیک پزشکی، گروه علوم اطلاعات سلامت، کمیته تحقیقات دانشجویی، دانشکده مدیریت و اطلاعات رسانی پزشکی، دانشگاه علوم پزشکی کرمان، کرمان، ایران</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>parastu.amirii@yahoo.com</Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Multiple Sclerosis</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Mobile Applications</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Mobile Health</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Quality</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>مالتیپل اسکلروزیس</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>اپلیکیشن موبایل</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>سلامت همراه</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>کیفیت</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
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Mobile app rating scale: a new tool for assessing the quality of health mobile apps. JMIR mHealth and uHealth 2015;3(1):e3422. doi: 10.2196/mhealth.3422##39. Mani M, Kavanagh DJ, Hides L, Stoyanov SR. Review and evaluation of mindfulness-based iPhone apps. JMIR mHealth and uHealth 2015;3(3):e4328. doi: 10.2196/mhealth.4328##40. Ayyaswami V, Padmanabhan DL, Crihalmeanu T, Thelmo F, Prabhu AV, Magnani JW. Mobile health applications for atrial fibrillation: a readability and quality assessment. International Journal of Cardiology 2019;293:288-93. https://doi.org/10.1016/j.ijcard.2019.07.026##41. Shen N, Levitan MJ, Johnson A, Bender JL, Hamilton-Page M, Jadad AA, et al. Finding a depression app: a review and content analysis of the depression app marketplace. JMIR mHealth and uHealth 2015;3(1):e3713. doi: 10.2196/mhealth.3713##42. Salehinejad S, Niakan Kalhori SR, Hajesmaeel Gohari S, Bahaadinbeigy K, Fatehi F. A review and content analysis of national apps for COVID-19 management using Mobile Application Rating Scale (MARS). Informatics for Health and Social Care 2021;46(1):42-55.##43. Davalbhakta S, Advani S, Kumar S, Agarwal V, Bhoyar S, Fedirko E, et al. A systematic review of smartphone applications available for corona virus disease 2019 (COVID19) and the assessment of their quality using the mobile application rating scale (MARS). Journal of Medical Systems 2020;44(9):1-5.##44. Salazar A, de Sola H, Failde I, Moral-Munoz JA. Measuring the quality of mobile apps for the management of pain: systematic search and evaluation using the mobile app rating scale. JMIR mHealth and uHealth 2018;6(10):e10718. doi: 10.2196/10718##45. Lewis TL, Wyatt JC. mHealth and mobile medical apps: a framework to assess risk and promote safer use. J Med Internet Res 2014;16(9):e210. doi: 10.2196/jmir.3133## ##</REF>
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		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>دسته‌بندی سبک‌های معماری مبتنی بر ابعاد یکپارچگی سیستم‌‌های اطلاعات بیمارستانی</TitleF>
		<TitleE>Classification of Architectural Styles based on the Dimensions of the Integration of Hospital Information Systems</TitleE>
		<TitleLang_ID>1</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>1</Language_ID>
			<CONTENT>مقدمه: سیستم&#8204; اطلاعات بیمارستانی (Hospital Information&#8204; System)HIS، نرم&#8204;افزاری جـامع بـرای یکپارچه&#8204;سازی اطلاعات بیمـاران جهـت ارسـال و تبـادل اطلاعات سلامت بین بخش&#8204;ها و سایر مراکز درمانی به منظور تسریع در فرآیند مراقبت و درمان بیمـار، بهبـود کیفیـت و افزایش رضایتمندی است. سیر ورود &#8204;&#8204;سیستم&#8204;ها&#8204;&#8204;ی اطلاعاتی مراقبت بهداشتی متنوع و ناهمگون در حوزه سلامت الکترونیک، منجر به بروز مشکلات قابلیت همکاری شده است. در همین راستا، این پژوهش سعی دارد سبک&#8204;های معماری لازم برای رسیدن به معماری یکپارچه HIS را در قالب یک دسته&#8204;بندی با شش دسته اصلی از جمله توزیع شده، جریان داده و سیستم&#8204;های مدرن ارائه کند.
روش: در این مطالعه راهبردی-کاربردی، انواع مختلف مدل&#8204;های معماری HIS، نیازمندی&#8204;های آن، مفهوم قابلیت همکاری و ابعاد آن و در نهایت انواع مختلف سبک&#8204;های معماری و دسته&#8204;بندی&#8204;های آن&#8204;ها مورد بررسی قرار گرفت. سپس با توجه به نیازمندی&#8204;های HIS و ابعاد قابلیت همکاری، دسته&#8204;بندی سبک&#8204;های معماری پیشنهاد شد.
نتایج: نتایج نشان داد، به کارگیری سبک&#8204;های معماری مناسب، رسیدن به معماری یکپارچه را تسهیل می&#8204;کند. دسته&#8204;بندی پیشنهادی بر روی سبک&#8204;های معماری شامل شش دسته سیستمِ سیستم&#8204;ها، حافظه مشترک، جریان داده، فراخوانی، توزیع شده و سیستم&#8204;&#8204;های مدرن است.
نتیجه&#8204;گیری: ایجاد یکپارچگی در زیرسیستم&#8204;های HIS یکی از ضرورت&#8204;های مهم در نظام سلامت است. به کارگیری دسته&#8204;بندی پیشنهادی باعث می&#8204;شود که معمار، نیازمندی&#8204;های تعامل&#8204;پذیری را به کمک سبک&#8204;های مختلف معماری به درستی انتخاب و در طراحی معماری یکپارچه HIS جانمایی کند.</CONTENT>
			</ABSTRACT>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Introduction: Hospital information system (HIS) is a comprehensive software for integrating patient information for sending and exchanging health information between wards and other medical centers in order to accelerate the process of patient care and treatment, improve quality, and increase patient satisfaction. The advent of diverse and heterogeneous health care information systems in the field of e-health has led to interoperable problems. In this regard, this study aimed to provide the necessary architectural styles, to achieve an integrated HIS architecture, classified into six main categories, including distributed, dataflow, and modern systems.
Method: In this strategic applied study, first, different types of HIS architectural models, their requirements, the concept of interoperability and its dimensions, and different types of architectural styles and their categories were examined. Then, according to HIS requirements and interoperability dimensions, the classification of architectural styles was proposed.
Results: The results showed that the use of appropriate architectural styles facilitates the achievement of integrated architecture. The proposed classification of architectural styles is formed of six categories of systems including system of systems, shared memory, dataflow, calling, distributed, and modern systems.
Conclusion: Integration in HIS subsystems is one of the essentials in health systems. Applying the proposed classification supports architects in selecting interoperable requirements properly with the help of different architectural styles and placing them in the integrated HIS architectural design.
&#160;</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>347</FPAGE>
			<TPAGE>358</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2022/01/112021/12/30
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1400/10/9
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2022/03/122022/02/26
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1400/12/7
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>فاطمه</Name>
				<MidName></MidName>
				<Family>مشیری</Family>
				<NameE>Fatemeh</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Moshiri</FamilyE>
				<Organizations>
				<Organization>کارشناسی ارشد انفورماتیک پزشکی، دانشکده علوم پزشکی، دانشگاه تربیت مدرس، تهران، ایران</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>moshirifateme68@gmail.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>عباس</Name>
				<MidName></MidName>
				<Family>آسوشه</Family>
				<NameE>Abbas</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Asosheh</FamilyE>
				<Organizations>
				<Organization>دکترای مهندسی کامپیوتر و مخابرات (انتقال صوت)، استادیار گروه انفورماتیک پزشکی، دانشکده علوم پزشکی، دانشگاه تربیت مدرس، تهران، ایران</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>asosheh@modares.ac.ir</Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Hospital Information Systems (HIS)</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Integration</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Interoperability</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Architectural Pattern</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>سیستم‌های اطلاعات بیمارستانی</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>یکپارچگی</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>قابلیت همکاری</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>سبک‌ معماری</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
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Shortliffe EH, Shortliffe EH, Cimino JJ. Biomedical informatics: computer applications in health care and biomedicine. Springer; 2014.##7. Bergmann J, Bott OJ, Pretschner DP, Haux R. An e-consent-based shared EHR system architecture for integrated healthcare networks. International Journal of Medical Informatics 2007;76(2-3):130-6.##8. Sabooniha N, Toohey D, Lee K. An evaluation of hospital information systems integration approaches. InProceedings of the International Conference on Advances in Computing, Communications and Informatics 2012 Aug 3; New York, United States Association for Computing Machinery; p. 498-504. https://doi.org/10.1145/2345396.2345479##9. Weber-Jahnke J, Peyton L, Topaloglou T. eHealth system interoperability. Information Systems Frontiers 2012;14(1):1-3.##10. Zeinali N, Asosheh A, Setareh S, Provide Interoperability Model to Interact in Hospital Information Systems. Journal of Health and Biomedicine Informatics 2017; 4(1): 48-58. [In Persian]##11. Ziminski TB, Demurjian SA, Sanzi E, Agresta T. Toward integrating healthcare data and systems: A study of architectural alternatives. In Healthcare Policy and Reform: Concepts, Methodologies, Tools, and Applications; IGI Global; 2019. p.740-73.##12. Ismail A, Jamil AT, Rahman AF, Bakar JM, Saad NM, Saadi H. The implementation of Hospital Information System (HIS) in tertiary hospitals in malaysia: a qualitative study. Malaysian Journal of Public Health Medicine 2010;10(2):16-24.##13. Lytra I, Carrillo C, Capilla R, Zdun U. Quality attributes use in architecture design decision methods: research and practice. Computing 2020;102(2):551-72.##14. Moshiri F. Introducing an Integrated Architecture Model for Hospital Information Systems: CIS, in Tarbiat Modares University. [dissertation]. Tehran: Tarbiat Modares University; 2020. [In Persian] ##15. Buschmann F, Henney K, Schmidt DC. Pattern-oriented software architecture, on patterns and pattern languages. USA: John Wiley &#38; sons; 2007.##16. Perry DE, Wolf AL. Foundations for the study of software architecture. ACM SIGSOFT Software Engineering Notes 1992;17(4):40-52.##17. Klein MH, Kazman R, Bass L, Carriere J, Barbacci M, Lipson H. Attribute-based architecture styles. InWorking Conference on Software Architecture 1999 Feb 22 Boston, MA: Springer; 1999. p. 225-43. ##18. Zakeri Afshar N. Factors affecting the failure of health information systems in Iran [dissertation]. Kerman: Kerman University of Medical Sciences; 2018. [In Persian]##19. Grimson J, Stephens G, Jung B, Grimson W, Berry D, Pardon S. Sharing health-care records over the internet. IEEE Internet Computing 2001;5(3):49-58.##20. Brown SH, Lincoln MJ, Groen PJ, Kolodner RM. VistA—US department of veterans affairs national-scale HIS. International Journal of Medical Informatics 2003;69(2-3):135-56.##21. Beyer M, Kuhn KA, Meiler C, Jablonski S, Lenz R. Towards a flexible, process-oriented IT architecture for an integrated healthcare network. Proceedings of the 2004 ACM Symposium on Applied Computing; 2004 Mar 14; 	 New York: Association for Computing Machinery p. 264-71. https://doi.org/10.1145/967900.967958##22. Lu X, Duan H, Li H, Zhao C, An J. The architecture of enterprise hospital information system. Conf Proc IEEE Eng Med Biol Soc 2005;2005:6957-60. doi: 10.1109/IEMBS.2005.1616106.##23. Braghin S, Coen-Porisini A, Colombo P, Sicari S, Trombetta A. Introducing privacy in a hospital information system. Proceedings of the Fourth International Workshop on Software Engineering for Secure Systems; 2008 May 17; New York: Association for Computing Machinery; 2008. p. 9-16. https://doi.org/10.1145/1370905.1370907##24. Wambura WM. Development of discharge letter module onto care2x hospital information system [dissertation]. Arusha, Tanzania; African Institution of Science and Technology; 2019. 25. Hsieh SH, Hsieh SL, Cheng PH, Lai F. E-health and healthcare enterprise information system leveraging service-oriented architecture. Telemedicine and e-Health 2012;18(3):205-12.##26. Konstantinidis G, Anastassopoulos GC, Karakos AS, Anagnostou E, Danielides V. A user-centered, object-oriented methodology for developing health information systems: a Clinical Information System (CIS) example. Journal of Medical Systems 2012;36(2):437-50.##27. Nijeweme–d’Hollosy WO, van Velsen L, Henket A, Hermens H. An Interoperable eHealth Reference Architecture for Primary Care. IEEE Symposium on Computers and Communications (ISCC) 2018 Jun 25-28; p. 01090-5; Natal, Brazil: IEEE; doi: 10.1109/ISCC.2018.8538576##28. Tummers J, Tobi H, Catal C, Tekinerdogan B. Designing a reference architecture for health information systems. BMC Medical Informatics and Decision Making 2021;21(1):1-4.##29. Jayaratne M, Nallaperuma D, De Silva D, Alahakoon D, Devitt B, Webster KE, Chilamkurti N. A data integration platform for patient-centered e-healthcare and clinical decision support. Future Generation Computer Systems. 2019 Mar 1;92:996-1008.##30. Avgeriou P, Zdun U. Architectural patterns revisited-a pattern language. EuroPLoP' 2005, Tenth European Conference on Pattern Languages of Programs; 2005 Jul 6-10; Irsee, Germany; 2005. p. 1-39.##31. Niknejad N, Ismail W, Ghani I, Nazari B, Bahari M. Understanding Service-Oriented Architecture (SOA): A systematic literature review and directions for further investigation. Information Systems 2020;91:101491.##32. Akmel F, Birhanu E, Siraj B, Shifa S. AComparative Analysis on Software Architecture Styles. International Journal in Foundations of Computer Science &#38; Technology 2017;7(5/6):11-22.##33. de Sousa TB. Engineering Software for the Cloud: A Pattern Language [dissertation]. Tiago Boldt Sousa; 2020.##34. Majidi E, Alemi M, Rashidi H. Software architecture: A survey and classification. In2010 Second International Conference on Communication Software and Networks; 2010 Feb 26; Computer Society: IEEE; 2010. p. 454-60. doi: 10.1109/ICCSN.2010.94##35. Sharma A, Kumar M, Agarwal S. A complete survey on software architectural styles and patterns. Procedia Computer Science 2015;70:16-28. ##36.  Sommerville I.  Software Engineering.  10th  ed.  ##London: Pearson; 2015.##37. Lalanda P. Shared repository pattern. 5th Annual Conference on the Pattern Languages of Programs 1998. p. 1-10.##38. Wibowo AH, Nugroho LE, Sulistyo S. Data Distribution on the Goodness Behaviour System with Blackboard Based Architecture. International Conference on Information and Communications Technology (ICOIACT); 2019 Jul 24; p. 217-21. Yogyakarta, Indonesia: IEEE; 2019. doi: 10.1109/ICOIACT46704.2019.8938416##39. Wulf C. Efficient Engineering and Execution of Pipe-and-Filter Architectures [dissertation]. Faculty of Engineering; 2019.##40. Shaw M, Garlan D. Software Architecture: Perspectives on an Emerging Discipline. London: Pearson; 1996. ##41. Chavan PU, Murugan M, Chavan PP. A review on software architecture styles with layered robotic software architecture. International Conference on Computing Communication Control and Automation; 2015 Feb 26; Pune, India: IEEE; 2015. p. 827-31.  doi: 10.1109/ICCUBEA.2015.165##42. Sallow AB, Dino HI, Ageed ZS, Mahmood MR, Abdulrazaq MB. Client/Server remote control administration system: Design and implementation. International Journal of Multidisciplinary Research and Publications 2020;3(2):7.##43. Kircher M, Jain P. Pattern-Oriented Software Architecture Volume 3: Patterns for Resource Management. 3th ed. ‎ USA: Wiley; 2004.##44. Uzunov AV. A survey of security solutions for distributed publish/subscribe systems. Computers &#38; Security 2016;61:94-129. https://doi.org/10.1016/j.cose.2016.04.008##45. Berna-Martinez JV, Castro Zamora CI, Maciá Pérez F, López Paz CR. Method for the integration of applications based on enterprise service bus technologies. Wseas Transactions on Computers 2018; 18: 181-90.##46. Vural H, Koyuncu M, Guney S. A systematic literature review on microservices. International Conference on Computational Science and Its Applications; 2017 Jul 3; Springer, Cham; 2017. p. 203-17.##47. Sahama T, Croll, P. A data warehouse architecture for clinical data warehousing. In ACSW Frontiers 2007: Proceedings of 5th Australasian Symposium on Grid Computing and e-Research, 5th Australasian Information Security Workshop (Privacy Enhancing Technologies), and Australasian Workshop on Health Knowledge Management and Discovery Australian Computer Society; 2007. p. 227-32.##48. Luppi E. Introduction to Distributed Computing. TORUS 1–Toward an Open Resource Using Services: Cloud Computing for Environmental Data 2020:163-77.## ##</REF>
			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>توسعه سیستم پزشکی از راه دور در دوران شیوع بیماری‌های اپیدمی با استفاده از شبکه اجتماعی مجازی</TitleF>
		<TitleE>Development of Telemedicine System during the Outbreak of Epidemic Diseases using Virtual Social Networks</TitleE>
		<TitleLang_ID>1</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>1</Language_ID>
			<CONTENT>مقدمه: بحران شیوع کووید 19 در سال 2019 فصل جدیدی را جهت توسعه سیستم&#8204;های ارتباطی مجازی ایجاد نمود. شبکه&#8204;های اجتماعی را می&#8204;توان یکی از موفق&#8204;ترین ابزار&#8204;های حوزه فناوری اطلاعات نامید که همواره نقش مهمی در شرایط رخ داده شده به دوش می&#8204;کشید. در دسترس بودن، هزینه پایین، اعتماد&#8204;پذیری بالا، محبوبیت و توسعه&#8204;پذیری از جمله ویژگی&#8204;های شاخص در این حوزه می&#8204;باشد که می&#8204;تواند نقش به سزایی جهت رشد بستر پزشکی از راه دور داشته باشد.
روش: در این پژوهش با توسعه نرم&#8204;افزار&#160; به روش چابک&#8204;، چرخه جدیدی در سیستم پزشکی از راه دور&#160; مبتنی بر شبکه اجتماعی مجازی توسعه داده شده است که فرآیند&#8204;های پیشگیری، شناسایی، تشخیص و درمان را با استفاده از شبکه اجتماعی به همراه بستر ربات ساز جهت توسعه&#8204;پذیری آسان به راحتی پیگیری نمود.
نتایج: با توجه به تأثیرات رویدادهایی مانند همه&#8204;گیری کووید-۱۹، بسترهای شبکه&#8204;های اجتماعی به دلیل در دسترس بودن، می&#8204;توانند به عنوان ابزاری کاربردی برای غربالگری، پیشگیری، درمان و درمان مورد استفاده قرار گیرند. برای کاهش بار روانی جامعه در شرایط حاد و خاص، می&#8204;توان این پلتفرم&#8204;ها را به&#8204;عنوان راهبردی برای درمان مجازی توسط کارکنان مراقبت&#8204;های بهداشتی اتخاذ کرد. 
نتیجه&#8204;گیری: یکی از مزیت&#8204;های شبکه&#8204;های اجتماعی امکان ایجاد بستر&#8204;های پیام&#8204;رسانی و توسعه ربات&#8204;های تعاملی است. این روش سادگی توسعه و هزینه پایین دارد، لذا می&#8204;توان&#160; با بهره&#8204;گیری از امکان پزشکی از راه دور بر بستر شبکه&#8204;های اجتماعی پیام&#8204;رسان ارتباطی پویا با کاربران ایجاد نمود.</CONTENT>
			</ABSTRACT>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Introduction: The Covid-19 outbreak crisis in 2019 ushered in a new chapter in the development of virtual communication systems. Social networks can be considered one of the most successful tools in the field of information technology which always plays an important role in such situations. Availability, low cost, high reliability, popularity, and scalability are some of the key features of social networks that make them very instrumental in telemedicine development.
Method: In this research, a new cycle in telemedicine systems based on virtual social networks, through the agile development method, has been built up; so that the processes of prevention, identification, diagnosis, and treatment would be efficiently followed, using a social network with a robot-making platform for easy scalability.
Results:&#160;Considering the effects of events such as the Covid-19 pandemic, social networking platforms can be used as practical tools for screening, prevention, treatment, and treatment, due to their accessibility. To reduce the psychological burden on society in acute and special situations, these platforms can be adopted as a strategy for virtual therapy by healthcare staff.
Conclusion: The possibility of creating messaging platforms and developing interactive robots are among the advantages of social networks. This method is easy to develop and low-cost. Thus, a dynamic relationship with users through the possibility of telemedicine, acquired from messaging social networks, can be established.
&#160;</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>359</FPAGE>
			<TPAGE>377</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2022/01/112021/12/302021/09/29
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1400/7/7
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2022/03/122022/02/262022/02/26
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1400/12/7
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>ارشیا</Name>
				<MidName></MidName>
				<Family>بادی</Family>
				<NameE>Arshia</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Badi</FamilyE>
				<Organizations>
				<Organization>دکتری تخصصی مهندسی برق، پژوهشگر،  پژوهشکده سامانه‌های هوشمند کاربردی دانشگاه تهران، تهران، ایران</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>arshiabadi@chmail.ir</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>فرهاد</Name>
				<MidName></MidName>
				<Family>رهبر</Family>
				<NameE>Farhad</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Rahbar</FamilyE>
				<Organizations>
				<Organization>دکتری تخصصی اقتصاد، استاد، دانشکده اقتصاد، دانشگاه تهران، تهران، ایران</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>frahbar@ut.ac</Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Covid-19</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Social Network</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Telemedicine</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Social Network Robot</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>کووید 19</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>شبکه اجتماعی</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>پزشکی از راه دور</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>ربات شبکه اجتماعی</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
				<REF>1. World Health Organization (WHO).  Coronavirus disease 2019 (COVID-19): Situation Report - 69 (29 March 2020).  [cited Mar 30]. Available from: https://www.who.int/emergencies/diseases/novel-coronavirus-2019##2. &#34;Wuhan pneumonia virus continues to spread, Hubei orders closure of 15 cities DW&#34; Germany: Deutsche Welle; 2020. [cited 2020 Jan 24]. Available from: https://p.dw.com/p/3Wk77 [In Chinese].##3. France 24, Virus-hit Iran closes four key religious sites; 2020 [cited 2020 Apr 16]. Available from: https://www.france24.com/en/20200316-virus-hit-iran-closes-four-key-religious-sites##4. Iran Press International News Agency. Smart Social Distancing in Iran, limited by hygienicprotocols, 2020, [cited 2020 Apr 16]. Available from: https://iranpress.com/en/iran-i145865smart_social_distancing_in_iran_limited_by_hygienic_protocols).##5. World Health Organization. Global Surveillance for human infection with coronavirus disease (COVID-19). [cited 2020 Jun 6]. Available from:https://apps.who.int/iris/handle/10665/330857##6. World Health Organization (WHO). Report of the WHO-China Joint Mission on Coronavirus Disease 2019 (Covid-19). Switzerland, Geneva: WHO; 2020 [cited 2020 Apr 11]. Available from:https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200129-sitrep-9-ncov.pdf##7. Doshmangir L, Ahari AM, Qolipour K, Azami S, Kalankesh L, Doshmangir P, Mobasseri K, Khodayari-Zarnaq R. East Asia's strategies for effective response to COVID-19: lessons learned for Iran. Quarterly Manage Strat Health Syst 2019. doi:  ‎10.18502/mshsj.v4i4.2542##8. Shen YT, Chen L, Yue WW, Xu HX. Digital Technology-Based Telemedicine for the COVID-19 Pandemic. Front Med 2021 https://doi.org/10.3389/fmed.2021.646506##9. Shahmoradi M, Safaei Aa, Tajrishi H, Nazari E, Delaram Z, Zarei Z, Zeinali N. The common applications of social networks in healthcare. Health Information Management 2016; 13(3): 243-8. [In Persian]##10. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. The Lancet 2020;395(10223):497-506. https://doi.org/10.1016/S0140-6736(20)30183-5##11. Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, et al. A novel coronavirus from patients with pneumonia in China, 2019. N Engl J Med 2020;382(8):727-33. doi: 10.1056/NEJMoa2001017.##12. Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J, et al. Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus–infected pneumonia in Wuhan, China. JAMA 2020;323(11):1061-9. doi: 10.1001/jama.2020.1585.##13. Perkel JM. The Internet of Things comes to the lab. Nature 2017;542(7639):125-6. doi: 10.1038/542125a.##14.  Ting DS, Lin H, Ruamviboonsuk P, Wong TY, Sim DA. Artificial intelligence, the internet of things, and virtual clinics: ophthalmology at the digital translation forefront. Lancet Digit Health 2020;2(1):e8-e9. doi: 10.1016/S2589-7500(19)30217-1. ##15. LeCun Y, Bengio Y, Hinton G. Deep learning. Nature 2015;521(7553):436-44.##16. Ting DS, Liu Y, Burlina P, Xu X, Bressler NM, Wong TY. AI for medical imaging goes deep. Nat Med 2018;24(5):539-540. doi: 10.1038/s41591-018-0029-3.##17.  Shilo S, Rossman H, Segal E. Axes of a revolution: challenges and promises of big data in healthcare. Nat Med 2020;26(1):29-38. doi: 10.1038/s41591-019-0727-5.##18. Heaven D. Bitcoin for the biological literature. Nature 2019;566(7742):141-2. doi: 10.1038/d41586-019-00447-9.##19. Matusitz J, Breen GM. Telemedicine: Its effects on health communication. Health Commun 2007;21(1):73-83. doi: 10.1080/10410230701283439.##20. Kvedar J, Coye MJ, Everett W. Connected health: a review of technologies and strategies to improve patient care with telemedicine and telehealth. Health Aff (Millwood) 2014;33(2):194-9. doi: 10.1377/hlthaff.2013.0992. ##21. Mun SK, Turner JW. Telemedicine: Emerging e-medicine. Annual Review of Biomedical Engineering 1999;1(1):589-610. https://doi.org/10.1146/annurev.bioeng.1.1.589##22. Song X, Liu X, Wang C. The role of telemedicine during the COVID-19 epidemic in China—experience from Shandong province. Crit Care 2020;24(1):178. doi: 10.1186/s13054-020-02884-9. ##23. Hong Z, Li N, Li D, Li J, Li B, Xiong W, et al. Telemedicine during the COVID-19 pandemic: experiences from Western China. J Med Internet Res 2020;22(5):e19577. doi: 10.2196/19577##24. Colubri A, Hartley MA, Siakor M, Wolfman V, Felix A, Sesay T, et al. Machine-learning prognostic models from the 2014–16 Ebola outbreak: data-harmonization challenges, validation strategies, and mHealth applications. EClinicalMedicine 2019;11:54-64. https://doi.org/10.1016/j.eclinm.2019.06.003##25.  Engineers Develop Robots to Treat and Test Covid-19 Patients in a Bid to Protect Health Workers. (2020). [cited 2020 May 10]. Available from: https://www.telegraph. co.uk/global-health/science-and-disease/engineers-develop-robots-treattest-Covid-19-patients-bid-protect/ ##26. Wong ZS, Zhou J, Zhang Q. Artificial intelligence for infectious disease big data analytics. Infection, Disease &#38; Health 2019;24(1):44-8. https://doi.org/10.1016/j.idh.2018.10.002##27. Wu J, Pan J, Teng D, Xu X, Feng J, Chen YC. Interpretation of CT signs of 2019 novel coronavirus (COVID-19) pneumonia. Eur Radiol 2020;30(10):5455-62. doi: 10.1007/s00330-020-06915-5. ##28.  Yang W, Yan F. Patients with RT-PCR-confirmed COVID-19 and normal chest CT. Radiology 2020;295(2):E3.##29. Wuhan medics share COVID-19 information with Kenyan Medical teams; 2020 [cited 2020 May 23]. Available from: https://www.chinadaily.com.cn/a/202003/23/ WS5e78b4cda3101282172815b6.html ##30. Li L, Qin L, Xu Z, Yin Y, Wang X, Kong B, et al. Artificial intelligence distinguishes COVID-19 from community acquired pneumonia on chest CT. Radiology. 2020: 200905. doi: 10.1148/radiol.2020200905##31. Zhang K, Liu X, Shen J, Li Z, Sang Y, Wu X, et al. Clinically applicable AI system for accurate diagnosis, quantitative measurements, and prognosis of COVID-19 pneumonia using computed tomography. Cell 2020;181(6):1423-33. https://doi.org/10.1016/j.cell.2020.04.045##32. Abdel-Basset M, Chang V, Nabeeh NA. An intelligent framework using disruptive technologies for COVID-19 analysis. Technological Forecasting and Social Change 2021;163:120431. https://doi.org/10.1016/j.techfore.2020.120431##33. Bautista R, Mones R. Social Network Theory- An Application in Crisis Management. Project: Social Network Theory- An Application in Crisis Management; 2015. doi:10.13140/RG.2.1.5084.2729##34. Udugama B, Kadhiresan P, Kozlowski HN, Malekjahani A, Osborne M, Li VY, Chen H, Mubareka S, Gubbay JB, Chan WC. Diagnosing COVID-19: the disease and tools for detection. ACS Nano 2020;14(4):3822-35. doi: 10.1021/acsnano.0c02624. ##35. D’Angelo G, Palmieri F. Enhancing COVID-19 tracking apps with human activity recognition using a deep convolutional neural network and HAR-images. Neural Comput Appl 2021;1-17. doi: 10.1007/s00521-021-05913-y.##36. Chen S, Zhang Z, Yang J, Wang J, Zhai X, Bärnighausen T, et al. Fangcang shelter hospitals: a novel concept for responding to public health emergencies. The Lancet 2020;395(10232):1305-14.##37. Sommerville I. Software Engineering. England: Addison-Wesley; 1982.##38. Schwaber K. Agile Project Management with Scrum (Developer Best Practices). 1st ed. Microsoft Press; 2004.##39.  Arak University Website, Covid_19 Screening form: http://araku.ac.ir/web/pr/health-test,3/30/2022##40. Bea R, Mitroff I, Farber D, Foster H, Roberts KH. A new approach to risk: the implications of E3. Risk Management 2009;11(1):30-43.##41. WeMessenger system penetration and security test report, SEC-PEN-TPS-990506-BLK-1 report, infrastructure and security unit Sami Smart Application Systems Company; 2021.##42. Gheidarpour S. Software Development Life Cycle; 2013 [cited 2020 Apr 16]. Available from: https://nicholding.net## ##</REF>
			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>ضرورت کاربست سامانه الکترونیک ثبت و پایش اختلالات حرکتی تکاملی کودکان در جهت شناسایی به موقع و بهبود ارائه مراقبت به بیماران</TitleF>
		<TitleE>Necessity of using Electronic System for Recording and Monitoring of Developmental Motor Disorders in Children</TitleE>
		<TitleLang_ID>1</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>1</Language_ID>
			<CONTENT>مقاله از نوع نامه به سردبیر است لذا فاقد چکیده می باشد.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>378</FPAGE>
			<TPAGE>382</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2022/01/112021/12/302021/09/292022/03/9
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1400/12/18
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2022/03/122022/02/262022/02/262022/03/15
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1400/12/24
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>الهه</Name>
				<MidName></MidName>
				<Family>گوزلی</Family>
				<NameE>Elaheh</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Gozali</FamilyE>
				<Organizations>
				<Organization>دکتری تخصصی مدیریت اطلاعات سلامت، دانشگاه علوم پزشکی ارومیه، ارومیه، ایران</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>elahe.gozali@gmail.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>بهلول</Name>
				<MidName></MidName>
				<Family>رحیمی</Family>
				<NameE>Bahlol</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Rahimi</FamilyE>
				<Organizations>
				<Organization>دکتری تخصصی انفورماتیک پزشکی، گروه فن آوری اطلاعات سلامت، دانشگاه علوم پزشکی ارومیه، ارومیه، ایران</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>bahlol.rahimi@gmail.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>ملیحه</Name>
				<MidName></MidName>
				<Family>صادقی</Family>
				<NameE>Malihe</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Sadeghi</FamilyE>
				<Organizations>
				<Organization>دکتری تخصصی مدیریت اطلاعات سلامت، گروه فن آوری اطلاعات سلامت، دانشگاه علوم پزشکی سمنان، سمنان، ایران</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>sadeghiii.m@gmail.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>مرجان</Name>
				<MidName></MidName>
				<Family>قاضی سعیدی</Family>
				<NameE>Marjan</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Ghazi Saeedi</FamilyE>
				<Organizations>
				<Organization>دکتری تخصصی مدیریت اطلاعات سلامت، گروه فن آوری اطلاعات سلامت، دانشگاه علوم پزشکی تهران، تهران، ایران</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>ghazi.saeedi@yahoo.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>حمیدرضا</Name>
				<MidName></MidName>
				<Family>فرخ اسلاملو</Family>
				<NameE>Hamidreza</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Farokh Eslamloo</FamilyE>
				<Organizations>
				<Organization>دکتری تخصصی بهداشت مادر و کودک، مرکز تحقیقات بهداشت باروری، دانشگاه علوم پزشکی ارومیه، ارومیه، ایران</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>hamidfarrokh@gmail.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>رضا</Name>
				<MidName></MidName>
				<Family>صفدری</Family>
				<NameE>Reza</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Safdari</FamilyE>
				<Organizations>
				<Organization>دکتری تخصصی مدیریت اطلاعات سلامت، گروه فن آوری اطلاعات سلامت، دانشگاه علوم پزشکی تهران، تهران، ایران</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>rsafdari@tums.ac.ir</Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
				<REF>1. Shevell M, Ashwal S, Donley D, Flint J, Gingold M, Hirtz D, et al. Practice parameter: Evaluation of the child with global developmental delay Report of the Quality Standards Subcommittee of the American Academy of Neurology and The Practice Committee of the Child Neurology Society. Neurology 2003;60(3):367-80.##2. Gozali E, Safdari R, Ghazisaeedi M, Rahimi B, Eslamlou HF, Mehraeen E. Identification and validation of requirements for a registry system of children's developmental motor disorders in Iran. Methods Inf Med 2019; 58(04/05): 124-30. doi: 10.1055/s-0040-1701482##3. Shaahmadi F, Khushemehri G, Arefi Z, Karimyan A, Heidari F. Developmental delay and its effective factors in children aged 4 to12 months. International Journal of Pediatrics 2015;3(1.1):396-402. doi: 10.22038/IJP.2015.3778##4. de Moura DR, Costa JC, Santos IS, Barros AJ, Matijasevich A, Halpern R, Dumith S, Karam S, Barros FC. Risk factors for suspected developmental delay at age 2 years in a Brazilian birth cohort. Paediatr Perinat Epidemiol 2010;24(3):211-21. doi: 10.1111/j.1365-3016.2010.01115.x.##5. Nair MK, George B, Padmamohan J, Sunitha RM, Resmi VR, Prasanna GL, Leena ML. Developmental delay and disability among under-5 children in a rural ICDS block. Indian Pediatr 2009;46 Suppl:s75-8.##6. Soleimani F, Sajedi F, Akbari SA. Developmental delay and related factors. Advances in Nursing and Midwifery 2014;24(85):61 70. [In Persian]##7. Boyle CA, Boulet S, Schieve LA, Cohen RA, Blumberg SJ, Yeargin-Allsopp M, Visser S, Kogan MD. Trends in the prevalence of developmental disabilities in US children, 1997–2008. Pediatrics 2011;127(6):1034-42. doi: 10.1542/peds.2010-2989.##8. Torabi F, Akbari SA, Amiri S, Soleimani F, Majd HA. Correlation between high-risk pregnancy and developmental delay in children aged 4-60 months. Libyan J Med 2012;7. doi: 10.3402/ljm.v7i0.18811.##9. Behrman RE, Kliegman R, Jenson HB. Nelson Textbook of Pediatrics. 17th ed. Philadelphia: Saunders Co; 2004.##10. Piccolo LD, Segabinazi JD, Falceto OG, Fernandes CL, Bandeira DR, Trentini CM, Hutz CS, Salles JF. Developmental delay in early childhood is associated with visual-constructive skills at school age in a Brazilian cohort. Psicologia: Reflexão e Crítica 2016;29. https://doi.org/10.1186/s41155-016-0048-2##11. Camden C, Foley V, Anaby D, Shikako-Thomas K, Gauthier-Boudreault C, Berbari J, Missiuna C. Using an evidence-based online module to improve parents' ability to support their child with Developmental Coordination Disorder. Disability and Health Journal 2016;9(3):406-15. https://doi.org/10.1016/j.dhjo.2016.04.002##12. Jane JY, Burnett AF, Sit CH. Motor skill interventions in children with developmental coordination disorder: a systematic review and metaanalysis. Archives of Physical Medicine and Rehabilitation 2018;99(10):2076-99.##13. Delavar SZ, Bakhshi E, Soleimani F, Biglarian A. Application of penalized logistic regression for detecting interactive risk factors in children with Cerebral Palsy. Koomesh 2015;16(2): 159-65. [In Persian]##14. Ajami S, Maghsoudlorad AA. The role of information systems to manage cerebral palsy. Iranian Iran J Child Neurol 2016; 10(2): 1–9.##15. Christine C, Dolk H, Platt MJ, Colver A, Prasauskiene A, Krageloh-Mann I. Recommendations from the SCPE collaborative group for defining and classifying cerebral palsy. Dev Med Child NeurolSuppl 2007;109:35-8. doi: 10.1111/j.1469- 8749.2007.tb12626.x.##16. Rosenbaum P, Paneth N, Leviton A, Goldstein M, Bax M, Damiano D, et al. A report: the definition and classification of cerebral palsy April 2006. Dev Med Child Neurol Suppl 2007;109:8-14.##17. Ajami S, Fatahi M. The role of earthquake دinformation management systems (EIMSs) in reducing destruction: A comparative study of Japan, Turkey and Iran. Disaster Prevention and Management 2009;18:150–61. doi. 10.1108/09653560910953225##18. ELmaniawy GH, Ayad MN, Ahmed AS. Establish Registry of Cerebral Palsy in Minia Governorate. International Journal of Recent Advances in Multidisciplinary Research 2018; 5(4): 3782-6.##19. Developmental DMNSY, Investigators P. Prevalence of autism spectrum disorder among children aged 8 years-autism and developmental disabilities monitoring network, 11 sites, United States, 2010. Morbidity and mortality weekly report Surveillance summaries (Washington, DC: 2002). 2014;63(2):1.##20. Gozali E. Design, Development and Evaluation of Electronic System for Recording and Monitoring of Developmental Motor Disorders in Children [dissertation]. Tehran: Tehran University of Medical Science; 2020.## ##</REF>
			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>شناسایی شاخص‌های تأثیرگذار بر ارزیابی کیفیت خدمات سامانه‌های نوبت‌دهی آنلاین مراکز درمانی</TitleF>
		<TitleE>Identifying Indicators Affecting the Evaluation of Service Quality of Medical Centers’ Online Appointment Systems</TitleE>
		<TitleLang_ID>1</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>1</Language_ID>
			<CONTENT>مقدمه: سامانه&#8204;های نوبت&#8204;دهی آنلاین در مراکز درمانی باعث کاهش چشمگیر زمان انتظار، افزایش رضایت بیمار از کیفیت خدمات ارائه&#8204;شده و کاهش قابل توجه هزینه&#8204;ها می&#8204;شود. به ویژه در شرایط حاضر که اجتماع افراد باعث روند صعودی کرونا و مشکلات بعد از آن برای مراجعه&#8204;کنندگان می&#8204;شود، ارائه کیفیت خدمات مطلوب از سوی این سامانه&#8204;ها باعث کاهش تجمعات در مراکز خدمات درمانی خواهد شد؛ لذا شناسایی شاخص&#8204;های تأثیرگذار بر ارزیابی کیفیت خدمات سامانه&#8204;های نوبت&#8204;دهی امری ضروری است که می&#8204;تواند در بهبود ارائه خدمات درمانی مؤثر واقع شود.
روش: پژوهش حاضر از نظر هدف یک پژوهش کاربردی و از لحاظ گردآوری داده&#8204;ها، یک پژوهش توصیفی- تحلیلی و از نوع پیمایشی محسوب می&#8206;گردد. جامعه آماری این پژوهش، 15 نفر از اساتید دانشگاهی و کارشناسان مراکز درمانی و کاربران شهر یزد که با سامانه نوبت&#8204;دهی آنلاین آشنایی دارند، بودند. در این پژوهش به&#8204;منظور جمع&#8204;آوری داده&#8204;ها، سه نوع پرسشنامه بین خبرگان توزیع گردید.
نتایج: نتایج تحقیق با رویکرد تلفیقی AHP و DEMATEL فازی حاکی از این بود که از بین شاخص&#8204;های شناسایی&#8204;شده، زمان نوبت&#8204;دهی دقیق، صحت (دقت) اطلاعات، سطح تجربه کارکنان برنامه&#8204;ریز سایت، امکان لغو نوبت رزرو شده و قابلیت اعتماد (اطمینان- اعتبار) سیستم ازجمله شاخص&#8204;های تأثیرگذار هستند.
نتیجه&#8204;گیری: شناسایی شاخص&#8204;های تأثیرگذار سیستم نوبت&#8204;دهی اینترنتی نقش بسیار مؤثری در افزایش سطح تبادل اطلاعات، کاهش هزینه&#8204;ها به&#8204; ویژه در زمان شیوع کرونا، بهبود کیفیت خدمات ارائه شده توسط مراکز درمانی و درنهایت افزایش رضایت بیمار داشته است. همین موضوع باعث شده است در سال&#8204;های اخیر میزان استفاده از سیستم نوبت&#8204;دهی آنلاین در مراکز خدمات درمانی افزایش چشمگیری داشته باشد.
&#160;</CONTENT>
			</ABSTRACT>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Introduction: Online queuing systems in medical centers significantly reduce waiting time and costs, and increase patient satisfaction with the quality of services provided. Service provisions with the desired quality through these systems will manage the crowds in the health care centers. In the current situation, gatherings cause an upward trend of the COVID-19 pandemic and subsequent problems for the clients. Therefore, identifying the indicators affecting the evaluation of service quality of queuing systems is essential and can be effective in improving medical services.
Method: The present study is an applied research in terms of purpose, and a descriptive-analytical survey study in terms of data collection. Fifteen individuals living in Yazd city, including university professors, experts of medical centers, and users familiar with online appointment systems, formed the statistical population. In this study, in order to collect data, three types of questionnaires were distributed among experts.
Results: The results of the study with the combined approach of AHP and fuzzy DEMATEL indicated that accuracy of appointment time and information, level of experience of site planners, the possibility of cancellation of booked appointments, and reliability of the system are the influential indicators.
Conclusion: Identifying the effective indicators of the online queuing system has played a very effective role in increasing the level of information exchange, reducing costs, especially during the corona outbreak, improving the quality of services provided by medical centers, and accordingly increasing patient satisfaction. The mentioned features have led to a significant increase in the use of online queuing systems in health care centers in recent years.
&#160;</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>383</FPAGE>
			<TPAGE>397</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2022/01/112021/12/302021/09/292022/03/92021/10/21
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1400/7/29
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2022/03/122022/02/262022/02/262022/03/152022/04/16
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1401/1/27
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>حسین</Name>
				<MidName></MidName>
				<Family>صیادی تورانلو</Family>
				<NameE>Hossein</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Sayyadi-Tooranloo</FamilyE>
				<Organizations>
				<Organization>دانشیار مدیریت تحقیق در عملیات، گروه مدیریت، دانشکده علوم انسانی، دانشگاه میبد، میبد، ایران</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>h.sayyadi@meybod.ac.ir</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>ریحانه</Name>
				<MidName></MidName>
				<Family>حفیظی اتابک</Family>
				<NameE>Reihaneh</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Hafizi-Atabak</FamilyE>
				<Organizations>
				<Organization>دانشجوی کارشناسی ارشد، مدیریت صنعتی گرایش عملکرد، گروه مدیریت، دانشکده علوم انسانی، دانشگاه میبد، میبد، ایران</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>hafizi.meybod1997@gmail.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>ناهید</Name>
				<MidName></MidName>
				<Family>رضایی</Family>
				<NameE>Nahid</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Rezaei</FamilyE>
				<Organizations>
				<Organization>کارشناسی ارشد مدیریت فناوری اطلاعات، دانشگاه علم و هنر یزد‌، یزد، ایران</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>nahid.rezaei66@yahoo.com</Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Online Scheduling</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Evaluation</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Fuzzy Approach</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>نوبت‌دهی آنلاین</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>ارزیابی</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>رویکرد فازی</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
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Assessing trauma patients' waiting time and its associated factors referred to an emergency department. Payesh 2015;14(2):155-65. [In Persian]##57. Rouhani S, Safizade K, Mousavinasab S, Balaghafari A, Sayeedy-Kiasari M. Assessing the Accuracy of Diabetic Care Information in Health Houses in Sari City, Iran, 2018. Health Information Management 2019;16(3): 109-14. doi: 10.22122/him.v16i3.3878##58. Rangraz Jeddi F, Shaeri M, Rezaiimofrad M, Rangraz Jeddi M. Evaluation of Hospital Information System In Meeting The Patient Drug Information Needs For Self-Care Management. Health Information Management 2013;10(3):1-9. [In Persian].##59. Mahdizadeh H, Ayatollahi H, Esmaeili N, Mehran Kamkar K. Teledermatology: A comparison of reliability and accuracy of diagnoses with those in the face to face visits. Dermatology and Cosmetic 2013;4(3):148-56. [In Persian]##60. Rajati F, Kamali M, Parvizy S, Rajati M. Public Health Customers’ Experiences of health accessibility: a phenomenological study. Iranian Journal of Epidemiology 2011;7(2): 17-24. [In Persian]##61. Shahbahrami A, Moayed Rezaie S, Hafezi M. Effective Factors in Acceptance of Electronic Health Record From Employees Point of View. Journal of Guilan University of Medical Sciences 2016;24(96):50-60. [In Persian]##62. Ahmadizad, Varmaghani M, Varmaghani S. Mobile Health Services: Past, Present, Future. Educ Strategy Med Sci 2017; 10 (3):233-46. [In Persian]##63. Mosadeghrad AM, Khalaj F. Reducing cancelled surgery operations in a hospital: brief report. Tehran University Medical Journal 2016;74(5):365-70. [In Persian]##64. Naghizadeh M, Kazemi Movahed M, Sabaghian S, Aghazadeh S. Quality evaluation of mobile health systems. Health Information Management 2016;13(2): 84-9. [In Persian]##65. Sadoughi F, Aminpour F. How to Evaluate Health Information Systems: Evaluation stages. Iranian Journal of Medical Education 2011;10(5):950-63. [In Persian]## ##</REF>
			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>تعیین الزامات برنامه‌های کاربردی خودمراقبتی بیماران مبتلا به سندرم پلی کیستیک تخمدان</TitleF>
		<TitleE>Requirements of Self-care Applications for Patients with Polycystic Ovary Syndrome</TitleE>
		<TitleLang_ID>1</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>1</Language_ID>
			<CONTENT>مقدمه: سندرم تخمدان پلی کیستیک به&#8204;عنوان یک بیماری مزمن با طیف وسیعی از عوارض در نظر گرفته می&#8204;شود که با توجه به پیچیدگی&#8204;های گسترده نشانه&#8204;ها، علل و علائم این سندرم، بیماران اغلب از دانش محدود خود رنج می&#8204;برند. با رشد بی&#8204;سابقه فناوری، گوشی&#8204;های هوشمند به دلیل در دسترس بودن به جهت تسهیل آموزش و افزایش خودمراقبتی اهمیت زیادی دارند. هدف این مطالعه تعیین الزامات برنامه&#8204;های کاربردی برای خودمراقبتی بیماران مبتلا به سندرم پلی کیستیک تخمدان بود.
روش: پژوهش حاضر از نوع کاربردی بود که با روش کمی- توصیفی در سال 1400 انجام شد. الزامات برنامه کاربردی سندرم پلی کیستیک تخمدان شامل محتوای آموزشی، عناصر داده&#8204;ها و قابلیت&#8204;ها بود که نیازسنجی از بیماران و پزشکان زنان و زایمان انجام شد. پرسشنامه بین بیماران (45 نفر) و پزشکان (17 نفر) در مرکز آموزشی، درمانی فاطمیه شهر همدان توزیع شد. داده&#8204;های به دست آمده (44 مورد) توسط نرم افزار SPSS نسخه 24 و توسط شاخص&#8204;های آمار توصیفی تحلیل و مؤلفه&#8204;های ضروری شناسایی شدند.
نتایج: یافته&#8204;های این مطالعه نشان داد از دیدگاه بیماران و پزشکان تمامی مؤلفه&#8204;های نیازهای آموزشی، به جزء نیاز به آموزش در زمینه دلایل ایجاد بیماری ضروری قلمداد شدند. سرانجام از 53 قابلیت مورد سؤال در 11 حیطه دو قابلیت نمایش پیام&#8204;های خودمراقبتی دوره قاعدگی ماهانه و نمایش پیام&#8204;های مناسب با مدیریت خواب شبانه غیرضروری تشخیص داده شد.
نتیجه&#8204;گیری: به کارگیری مؤلفه&#8204;های ارائه شده در مطالعه حاضر می&#8204;تواند به عنوان الگویی برای طراحی برنامه کاربردی سندرم پلی کیستیک تخمدان، مورد توجه گروه طراح قرار بگیرد.</CONTENT>
			</ABSTRACT>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Introduction: Polycystic ovary syndrome is a chronic disease with a wide range of complications. Due to the complexity of this syndrome, patients often suffer from limited knowledge. With the unprecedented growth of technology, smartphones have gained significant importance due to their availability to facilitate learning and increase self-awareness. This study aimed to identify the requirements of self-care applications for patients with polycystic ovary syndrome.
Method: In this applied study, a quantitative-descriptive design was conducted in 2021. The requirements of the polycystic ovary syndrome applications including educational content, data elements, and features were assessed using needs assessments from patients and gynecologists. In this regard, a questionnaire was administered to patients (n=45) and gynecologists (n=17) in Fatemieh Educational and Medical Center in Hamadan, Iran. The obtained data (44 questionnaires) were analyzed by SPSS software version 24 using descriptive statistics and the necessary components were identified.
Results: The findings indicated that in the view of patients and gynecologists, all educational components were considered necessary except learning the causes of the disease. Finally, out of 53 questioned features in 11 subjects, only &#8220;displaying self-care messages for the monthly menstrual cycle&#8221; and &#8220;messages for nocturnal sleep management&#8221; were identified as unnecessary.
Conclusion: The features presented in this study can be considered as a model for designing mobile applications for polycystic ovary syndrome.
&#160;</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>398</FPAGE>
			<TPAGE>408</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2022/01/112021/12/302021/09/292022/03/92021/10/212022/02/2
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1400/11/13
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2022/03/122022/02/262022/02/262022/03/152022/04/162022/05/8
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1401/2/18
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>عباس</Name>
				<MidName></MidName>
				<Family>شیخ طاهری</Family>
				<NameE>Abbas</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Sheikhtaheri</FamilyE>
				<Organizations>
				<Organization>دکترای مدیریت اطلاعات سلامت، دانشیار، گروه مدیریت اطلاعات سلامت، دانشکده مدیریت و اطلاع‌رسانی پزشکی، دانشگاه علوم پزشکی ایران، تهران، ایران</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>sheikhtaheri.a@iums.ac.ir</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>شمیم</Name>
				<MidName></MidName>
				<Family>پیله وری</Family>
				<NameE>Shamim</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Pilevari</FamilyE>
				<Organizations>
				<Organization>متخصص زنان زایمان و نازایی، استادیار، گروه زنان و زایمان، دانشکده پزشکی، دانشگاه علوم پزشکی همدان، همدان، ایران</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>sh.pilevar@umsha.ac.ir</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>سجاد</Name>
				<MidName></MidName>
				<Family>سنگستانی</Family>
				<NameE>Sajjad</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Sangestani</FamilyE>
				<Organizations>
				<Organization>دانشجوی کارشناسی ارشد فناوری اطلاعات سلامت، گروه مدیریت اطلاعات سلامت، دانشکده مدیریت و اطلاع‌رسانی پزشکی، دانشگاه علوم پزشکی ایران، تهران، ایران</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>sangestani.s@iums.ac.ir</Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Polycystic Ovary Syndrome</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Self-care</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Mobile Health</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>پلی کیستیک تخمدان</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>خودمراقبتی</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>سلامت همراه</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
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