Abstract
Implementation of Integrated Electronic Health Record and Mobile Personal Health Record Datasets for Improving Healthcare Services
Highlights
A large amount of medical data previously stored in the healthcare industry in hard copy formats has been rapidly digitized and accumulated.[1]. In addition, with the increasing prevalence of mobile devices along with the rapid development of medical devices and platforms based on the Internet of Things (IoT), medical big data collection for individual users has become possible.[2,3] Many organizations and hospitals can obtain valuable information from these digitized, vast collection of electronic health records (EHRs)
We present an integrated dataset for healthcare services consisting of EHRs and mobile personal health records (mPHRs)
The results show that the decision tree for the integrated dataset is 3 and 4% more accurate than the EHRs and mPHRs, respectively, in diagnosing heart disease
Summary
A large amount of medical data previously stored in the healthcare industry in hard copy formats has been rapidly digitized and accumulated.[1]. The EHRs, we can identify a patient’s past medical history, vital signs, medications, radiology reports, and other data.[9] The mPHR is effective in helping patients manage disease by allowing them to track their health status outside a medical institution.[7] The integrated dataset can provide an accurate health diagnosis for a patient and enables access to complementary information from the EHR and mPHR when diagnosing a patient’s disease. It focuses on the existence of heart disease.
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