رابطه الزامات سیستم اطلاعات بیمارستانی و اجرای طرح تحول نظام سلامت در بیمارستان‌های دانشگاه علوم پزشکی تهران
محورهای موضوعی : -مدارک پزشکی
نعیمه طاهری نژاد کنی
1
,
سید جمال‌الدین طبیبی
2
,
کامران حاجی نبی
3
1 - دانشجوی کارشناسی ارشد مدیریت خدمات بهداشتی درمانی، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات، تهران، ایران
2 - استاد، گروه مدیریت خدمات بهداشتی و درمانی، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات، تهران، ایران
3 - استادیار گروه مدیریت خدمات بهداشتی و درمانی، دانشگاه آزا اسلامی، واحد علوم و تحقیقات، تهران، ایران
کلید واژه: طرح تحول سلامت, سیستم اطلاعات بیمارستانی, بیمارستان‌های دانشگاه علوم پزشکی تهران,
چکیده مقاله :
مقدمه: سیستم‌های اطلاعات بیمارستان به عنوان پیش نیازی جهت ارائه موثر و با کیفیت مراقبت سلامت در بیمارستان‌ها محسوب می‌شوند. مطالعه حاضر با هدف مطالعه رابطه الزامات سیستم اطلاعات بیمارستانی و اجرای طرح تحول نظام سلامت در بیمارستان‌های دانشگاه علوم پزشکی تهران انجام شد. روش پژوهش: این پژوهش یک مطالعه توصیفی - تحلیلی بود که در سال 1395 انجام گردید. جامعه آماری آن شامل 162 نفر از کارشناسان واحد فناوری اطلاعات، مسئولین و پرسنل اداری و درمانی بود که با سیستم اطلاعات بیمارستانی سروکار داشتند. ابزار گردآوری داده‌ها، پرسشنامه پژوهشگر ساخته براساس مطالعات مشابه بود که روایی آن توسط کمیته خبرگان و پایایی آن قبل از انجام مطالعه در یک نمونه 30 نفری با استفاده از روش آلفای کرونباخ (93/0=a) بررسی و تایید گردید. نحوه تکمیل پرسشنامه به صورت مراجعه حضوری و خود ایفایی می‌باشد. تحلیل اطلاعات با آزمون تی مستقل، تی زوج و آنوا و به کمک نرم‌افزار SPSS انجام گرفت. یافته‌ها: نتایج نشان داد میانگین و انحراف معیار الزامات سیستم اطلاعات بیمارستانی قبل از اجرای طرح تحول مقدار 0.60±2.63 و بعد از اجرای طرح تحول مقدار 0.74±3.10 به دست آمد. آزمون تی زوج دونمونه‌ای نشان داد میانگین 6 گروه الزامات نیروی انسانی، حرفه‌ای، فنی، سازمانی، قانونی و مالی به صورت معنی‌داری بعد از اجرای طرح تحول سلامت افزایش یافته است(05/0>P). نتیجه‌گیری: با توجه به نقش مثبت طرح تحول سلامت بر الزامات سیستم اطلاعات بیمارستانی، این طرح توانسته الزامات مرتبط با اجرای هرچه بهتر سیستم اطلاعات بیمارستانی در حوزه‌های انسانی، مالی، قانونی، سازمانی، فنی و حرفه‌ای ارتقا دهد.
Introduction: Hospital information systems (HIS) are considered prerequisites for the efficient delivery of high quality health care in hospitals. This study aimed to Relationship between Requirements of HIS and Implementation of Health Sector Evolution at Hospitals affiliated to Tehran University of Medical Sciences. Methods: This paper was a cross- sectional study conducted in 2016. The research population covered 162 respondents including the section personnel of the teaching hospitals of Tehran University of Medical Sciences. The data were gathered using a questionnaire (developed by the author comparing the similar studies), which validity was confirmed by a committee of experts and the reliability was calculated (before the study began) using a Cronbach α (α=0.93) in a 30 people sample. Collected data was analyzed using SPSS by T-test, T-Paired and Anova Tests. Results: Results showed that the mean and standard deviation of the requirements before and after implementation of health sector evolution was 2.63 ± 0.60 and 3.10 ± 0.74. paired t-test showed an average size of manpower, professional, technical, organizational, legal and financial significantly increased after implementation of health sector evolution(p<0.05). Conclusion: Considering the positive role of health sector evolution on the requirements of the hospital information system, this plan has been able to upgrade the requirements for better implementation of the hospital information system in the human, financial, legal, organizational, technical and professional fields.
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2- Khalilnezhad R, Barati Marnani A. Measuring hospital performance. Journal of Health Administration, 2004; 7(15): 56-68.
3- Maly W, Strojwas AJ. Statistical simulation of the IC manufacturing process. IEEE Transactions on computer-aided design of integrated circuits and systems, 1982; 1(3): 120-31.
4- Bagayoko C-O, Dufour J-C, Chaacho S, Bouhaddou O, Fieschi M. Open source challenges for hospital information system (HIS) in developing countries: a pilot project in Mali. BMC medical informatics and decision making, 2010; 10(1): 1.
5- Farajzadegan Z, Javadi A, Asgari G, Manzoori L. Indicators of utilization as a means for assessment of health information management systems. Health information management, 2008; 4(1): 23- 31.
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8- Moghaddasi H, Hosseini A, Sheikhtaheri A. A new model for the organizational structure of medical record departments in hospitals in Iran. Perspectives in health information management/AHIMA, American Health Information Management Association, 2006; 3(1): 11-9.
9- Asadi-Lari M, Sayyari A, Akbari M, Gray D. Public health improvement in Iran—lessons from the last 20 years. Public health, 2004; 118(6): 395-402.
10- Jafari M, Rashidian A, Abolhasani F, Mohammad K, Yazdani S, Parkerton P, et al. Space or no space for managing public hospitals; a qualitative study of hospital autonomy in Iran. The International journal of health planning and management, 2011; 26(3): 121-37.
11- Hanson K, Atuyambe L, Kamwanga J, McPake B, Mungule O, Ssengooba F. Towards improving hospital performance in Uganda and Zambia: reflections and opportunities for autonomy. Health policy, 2002; 61(1): 73-94.
12- Amirkhani ah, motaghi sm. Scrutinizing the obstacles of e-insurance development in asia insurance company. Bime, 2010; 25(1): 157-77.
13- Atashak m, mahzadeh p. Identify and ranke effective barriers of non-use information communication technology from view of teachers. Technology of education. 2011;5(2):115-22.
14- Yuen AH, Ma WW, editors. Knowledge sharing and teacher acceptance of web based learning system. C McBeath, Atkinson, D Jonas-Dwyer, and R Phillips, editors, Beyond the comfort zone: Proceedings of the 21st ASCILITE Conference; 2004.
15- Robertson J. Does permeation work? Promoting the use of information technology in teacher education. Journal of Information Technology for Teacher Education, 1997; 6(2): 169-84.
16- Gremy F, Fessler J, Bonnin M. Information systems evaluation and subjectivity. International Journal of Medical Informatics, 1999; 56(1): 13-23.
17- Yusuf M. The impact of self-efficacy, achievement motivation, and self-regulated learning strategies on students’ academic achievement. Procedia-Social and Behavioral Sciences, 2011; 15: 2623-6.
18- Murphy TH, Terry HR. Opportunities and obstacles for distance education in agricultural education. Journal of agricultural education, 1998; 39: 28-36.
19- Mungania P. Employees' perceptions of barriers in e-learning: The relationship among barriers, demographics, and e-learning self-efficacy: University of Louisville Louisville, KY; 2004.
20- Berge Z, Leary J. Trends and challenges of eLearning in national and international agricultural development. International journal of education and development using ICT, 2006; 2(2): 12-23.
21- Cantoni V, Cellario M, Porta M. Perspectives and challenges in e-learning: towards natural interaction paradigms. Journal of Visual Languages & Computing, 2004; 15(5): 333-45.
22- Torero M, Von Braun J. Information and communication technologies for development and poverty reduction: The potential of telecommunications: Intl Food Policy Res Inst; 2006.
23- Toprakci E. Obstacles at integration of schools into information and communication technologies by taking into consideration the opinions of the teachers and principals of primary and secondary schools in Turkey. Journal of Instructional Science and Technology (e-JIST), 2006; 9(1): 1-16.
24- Drent M, Meelissen M. Which factors obstruct or stimulate teacher educators to use ICT innovatively? Computers & Education, 2008; 51(1): 187-99.
25- Whittaker B. What went wrong? Unsuccessful information technology projects. Information Management & Computer Security, 1999; 7(1): 23-30.
26- Kwok L-f, Longley D. Information security management and modelling. Information Management & Computer Security, 1999; 7(1): 30-40.
27- Bellone J, de Basquiat S, Rodriguez J. Reaching escape velocity: A practiced approach to information security management system implementation. Information Management & Computer Security, 2008; 16(1): 49-57.
28- Siponen M, Willison R. Information security management standards: Problems and solutions. Information & Management, 2009; 46(5): 267-70.
29- Smith HL, Bullers Jr WI, Piland NF. Does information technology make a difference in healthcare organization performance? A multiyear study. Hospital Topics, 2000; 78(2): 13-22.
30- Kazanjian A, Green CJ. Beyond effectiveness: the evaluation of information systems using a comprehensive health technology assessment framework. Computers in biology and medicine, 2002; 32(3): 165-77.
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1- Chow-Chua C, Goh M. Framework for evaluating performance and quality improvement in hospitals. Managing Service Quality: An International Journal, 2002; 12(1): 54-66.
2- Khalilnezhad R, Barati Marnani A. Measuring hospital performance. Journal of Health Administration, 2004; 7(15): 56-68.
3- Maly W, Strojwas AJ. Statistical simulation of the IC manufacturing process. IEEE Transactions on computer-aided design of integrated circuits and systems, 1982; 1(3): 120-31.
4- Bagayoko C-O, Dufour J-C, Chaacho S, Bouhaddou O, Fieschi M. Open source challenges for hospital information system (HIS) in developing countries: a pilot project in Mali. BMC medical informatics and decision making, 2010; 10(1): 1.
5- Farajzadegan Z, Javadi A, Asgari G, Manzoori L. Indicators of utilization as a means for assessment of health information management systems. Health information management, 2008; 4(1): 23- 31.
6- Ebadi Azar F, Kahooei M, Soleimani M, Ghazavi S, Ghods A, Alaei S, et al. The impact of hospital information computerized network on clinical departments curative services personnel.(Semnan University of Medical Sciences-Amir Al-Momenin hospital). Journal of Health Administration, 2008; 11(31): 7-16.
7- Moradi G, Sarbaz M, Kimiafar K, Shafiei N, Setayesh Y. The role of hospital information system on dr Sheikh Hospital performance promotion in Mashhad. Health Information Management, 2009; 5(2): 18-26.
8- Moghaddasi H, Hosseini A, Sheikhtaheri A. A new model for the organizational structure of medical record departments in hospitals in Iran. Perspectives in health information management/AHIMA, American Health Information Management Association, 2006; 3(1): 11-9.
9- Asadi-Lari M, Sayyari A, Akbari M, Gray D. Public health improvement in Iran—lessons from the last 20 years. Public health, 2004; 118(6): 395-402.
10- Jafari M, Rashidian A, Abolhasani F, Mohammad K, Yazdani S, Parkerton P, et al. Space or no space for managing public hospitals; a qualitative study of hospital autonomy in Iran. The International journal of health planning and management, 2011; 26(3): 121-37.
11- Hanson K, Atuyambe L, Kamwanga J, McPake B, Mungule O, Ssengooba F. Towards improving hospital performance in Uganda and Zambia: reflections and opportunities for autonomy. Health policy, 2002; 61(1): 73-94.
12- Amirkhani ah, motaghi sm. Scrutinizing the obstacles of e-insurance development in asia insurance company. Bime, 2010; 25(1): 157-77.
13- Atashak m, mahzadeh p. Identify and ranke effective barriers of non-use information communication technology from view of teachers. Technology of education. 2011;5(2):115-22.
14- Yuen AH, Ma WW, editors. Knowledge sharing and teacher acceptance of web based learning system. C McBeath, Atkinson, D Jonas-Dwyer, and R Phillips, editors, Beyond the comfort zone: Proceedings of the 21st ASCILITE Conference; 2004.
15- Robertson J. Does permeation work? Promoting the use of information technology in teacher education. Journal of Information Technology for Teacher Education, 1997; 6(2): 169-84.
16- Gremy F, Fessler J, Bonnin M. Information systems evaluation and subjectivity. International Journal of Medical Informatics, 1999; 56(1): 13-23.
17- Yusuf M. The impact of self-efficacy, achievement motivation, and self-regulated learning strategies on students’ academic achievement. Procedia-Social and Behavioral Sciences, 2011; 15: 2623-6.
18- Murphy TH, Terry HR. Opportunities and obstacles for distance education in agricultural education. Journal of agricultural education, 1998; 39: 28-36.
19- Mungania P. Employees' perceptions of barriers in e-learning: The relationship among barriers, demographics, and e-learning self-efficacy: University of Louisville Louisville, KY; 2004.
20- Berge Z, Leary J. Trends and challenges of eLearning in national and international agricultural development. International journal of education and development using ICT, 2006; 2(2): 12-23.
21- Cantoni V, Cellario M, Porta M. Perspectives and challenges in e-learning: towards natural interaction paradigms. Journal of Visual Languages & Computing, 2004; 15(5): 333-45.
22- Torero M, Von Braun J. Information and communication technologies for development and poverty reduction: The potential of telecommunications: Intl Food Policy Res Inst; 2006.
23- Toprakci E. Obstacles at integration of schools into information and communication technologies by taking into consideration the opinions of the teachers and principals of primary and secondary schools in Turkey. Journal of Instructional Science and Technology (e-JIST), 2006; 9(1): 1-16.
24- Drent M, Meelissen M. Which factors obstruct or stimulate teacher educators to use ICT innovatively? Computers & Education, 2008; 51(1): 187-99.
25- Whittaker B. What went wrong? Unsuccessful information technology projects. Information Management & Computer Security, 1999; 7(1): 23-30.
26- Kwok L-f, Longley D. Information security management and modelling. Information Management & Computer Security, 1999; 7(1): 30-40.
27- Bellone J, de Basquiat S, Rodriguez J. Reaching escape velocity: A practiced approach to information security management system implementation. Information Management & Computer Security, 2008; 16(1): 49-57.
28- Siponen M, Willison R. Information security management standards: Problems and solutions. Information & Management, 2009; 46(5): 267-70.
29- Smith HL, Bullers Jr WI, Piland NF. Does information technology make a difference in healthcare organization performance? A multiyear study. Hospital Topics, 2000; 78(2): 13-22.
30- Kazanjian A, Green CJ. Beyond effectiveness: the evaluation of information systems using a comprehensive health technology assessment framework. Computers in biology and medicine, 2002; 32(3): 165-77.
