However, recording of medical diagnoses on the structured problem list for inpatients is incomplete, with almost 40% of important diagnoses mentioned only in the free text notes. The overall percentage of diagnoses originally included in the problem list was 62.3% (2841 / 4563, 95% confidence interval 60.8%, 63.7%).ĭiagnoses and other clinical information stored in a structured way in electronic health records is extremely useful for supporting clinical decisions, improving patient care and enabling better research. 1722 additional diagnoses were identified, increasing the mean number of recorded problems per patient from 5.51 to 8.84. Prior to review, these patients had a combined total of 2841 diagnoses recorded in their EHR problem lists. Percentage of diagnoses already included in the structured problem list

Major teaching hospital trust in London, one year after the launch of a comprehensive EHR system (Epic), during the first peak of the COVID-19 pandemic in the UK.ĥ16 patients with suspected or confirmed COVID-19 Retrospective chart review with manual review of free text electronic case notes To evaluate the completeness of diagnosis recording in problem lists in a hospital electronic health record (EHR) system during the COVID-19 pandemic

Keywords: Personal data, personal health data, electronic health record, big data. On the other hand, it is another result that many negative situations such as cyber attacks, malicious software companies, the intention of individuals who have control of health information systems, create privacy violations against this big data. In the study, it was concluded that the relationship between personal health data and big data improves health services and reduces human-induced errors that may occur. In addition, it has been determined that the big data created by the storage of electronic health records contribute to health services in many areas such as clinical decision making, quality service delivery and health promotion. It has been determined that large data storage areas are used instead of physical archives for the storage of these electronic health records. In line with the literature review, it has been determined that with the development of information and communication technologies, there has been a change in the processing, storage and transfer of personal health data, and electronic health records have been created. In this direction, a literature review on the concepts of personal health data, electronic health records and big data has been made and the relationship between big data and personal health data has been discussed.

The aim of the study is to reveal the importance of big data formed as a result of digitization of personal health data.

Big data health informatics