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To develop a risk score for the real-time prediction of readmissions for patients using patient specific information captured in electronic medical records (EMR) in Singapore to enable the prospective identification of high-risk patients for enrolment in timely interventions.

Machine learning (ML) has captured the attention of many clinicians who may not have formal training in this area but are otherwise increasingly exposed to ML literature that may be relevant to their clinical specialties. ML papers that follow an outcomes-based research format can be assessed using clinical research appraisal frameworks such as PICO (Population, Intervention, Comparison, Outcome). However, the PICO frameworks strain when applied to ML papers that create [...]

After the outbreak of the coronavirus disease 2019 (COVID-19) pandemic, Chinese hospitals and health information technology (HIT) vendors collaborated to provide comprehensive information technology support for pandemic prevention and control. This study aims to describe the responses from the health information systems (HIS) to the COVID-19 pandemic and provide empirical evidence in the application of emerging health technologies in China.

Poor comprehension and low compliance with post-ED (emergency department) care plans increase the risk of unscheduled ED return visits and adverse outcomes. Despite the growth of personal health records to support transitions of care, technological innovation's focus on the ED discharge process has been limited. Recent literature suggests that digital communication incorporated into post-ED care can improve patient satisfaction and care quality.

Power mobility devices (PMDs) such as power wheelchairs and scooters are crucial for mobility, self-care, employment, and leisure activities. The documentation process for insurance coverage is complex and requires communication and document delivery among multiple stakeholders. The objective of this project was to develop an electronic submission process for medical documentation of PMDs submitted for prior authorization to a Medicare Administrative Contractor (MAC) and implement a standardized means of communication [...]

Drug alerts are clinical decision support tools intended to prevent medication misadministration. In teaching hospitals, residents encounter the majority of the drug alerts while learning under variable workloads and responsibilities that may have an impact on drug-alert response rates.

The objective of the study was to highlight and analyze the outcomes of software configuration requests received from Sprint, a comprehensive, clinic-centered electronic health record (EHR) optimization program.

The objective of the study was to characterize the completeness and concordance of the electronic health record (EHR) documentation of cancer symptoms among multidisciplinary health care professionals.

The study aimed to represent the content of nursing diagnosis and interventions in the openEHR standard.