Designing the Electronic Health Record Model with Higher Security in Telemedicine based IoT

Subject Areas : Health information management

Fatemeh  Rabeifar ¹ (Ph.D. student of Information Technology Management, Science and Research Unit, Islamic Azad University, Tehran, Iran)
reza  radfar ² (Professor of System Management, Department of Technology Management, Science and Research Unit, Islamic Azad University, Tehran, Iran)
Abbas  Abbas Toloie Eshlaghy ³ (Professor of Industrial Management, Department of Information Technology Management, Science and Research Unit, Islamic Azad University, Tehran, Iran)

Received: 2022-06-18 Accepted : 2022-08-13 Published : 2022-05-22

Keywords: intelligence, Internet of Things, Electronic Health Record, Telemedicine,

Abstract :

Introduction: One of the most important management a in the E -health system is Security, which plays an important role in increasing public confidence in the quality of services. In this study, the allocation of High security improves the interoperability of remote devices.Methods: In this research, the published studies were reviewed which led to the design of the initial conceptual model and in the next stage, Delphi's four steps were screened by 22 experts in the field and finally the final conceptual model was presented with effective factors. As the results depicted, Kendall coordination coefficient in the fourth round was 0.007, which shows that there is a consensus among experts and it is possible to end the repetition of stages, and this amount is considered statistically significant.Results: This research expressed the acceptance of secure EHR by considering different dimensions through presenting a conceptual model and explored IoT entrepreneurial opportunities as well as more appropriate responses to patients in the IT space. The initial conceptual model has 3 sections: Patient data smart tools, Cloud storage, Smart doctor environment and finally the final conceptual model was presented with effective factors.Conclusion: the final conceptual model directly affects important therapeutic indicators such as reducing the number of errors and length of treatment. The ability to transfer data in this platform has led to the smarter telemedicine.

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