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ORIGINAL ARTICLE
Year : 2020  |  Volume : 9  |  Issue : 6  |  Page : 2995-3004

A minimum data set of user profile or electronic health record for chemical warfare victims' recommender system


1 Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran; Department of Health Information Technology, School of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
2 Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences; Evidence Based Medicine Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
3 Janbazan Medical and Engineering Research Center, Tehran, Iran
4 Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences; Halal Research Center of IRI, FDA, Tehran, Iran
5 Department of Computer Engineering, Sharif University of Technology, Tehran, Iran

Correspondence Address:
Dr. Marjan Ghazisaeedi
Department of Health Information Management, School of Allied Medical Sciences, Keshavarz Blvd, Tehran University of Medical Sciences, Tehran
Iran
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jfmpc.jfmpc_261_20

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Background: There are many people who are suffering from a variety of physical and mental illnesses due to the chemical attacks. There are various technologies such as recommender systems that can identify the main concerns related to health and make efforts to address them. To design and develop a recommender system, preparation of data source of this system should be considered. The aim of this study was to determine the minimum data set for user profile or user's electronic health record in chemical warfare victims' recommender system. Methods: This applied descriptive, cross-sectional study which was conducted in 2017. A questionnaire was developed by the authors from the data elements that were collected using the data extraction form from the studied sources. Content validity of the questionnaire was confirmed by using the experts. Test–retest method was used to determine the reliability of the questionnaire. The reliability of the questionnaire with Cronbach's alpha coefficient was confirmed as 84%. The questionnaire were submitted for related experts based on Delphi method by email or in person. Data resulting from the Delphi technique with descriptive statistics methods in SPSS software were analyzed. Results: Forty-seven nonclinical data elements and 181 clinical data elements were classified. Conclusion: Determining minimum data set of user profile or electronic health record in the recommender system for chemical warfare victims helps the health authorities to implement the recommender system which demonstrates chemical warfare victims' needs.


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