Electronic Health Records

Research in electronic health records (EHRs) examines the design, implementation, and utilization of digital systems for managing patient health information. Investigations focus on improving data quality, enhancing system interoperability, and developing methods for extracting meaningful insights from large EHR datasets. Specific areas include the application of machine learning for predictive analytics in patient care, the development of privacy-preserving techniques for sensitive health data, and the study of how EHRs impact clinical workflows and patient outcomes. Research also addresses the challenges of integrating diverse data sources and ensuring the usability and accessibility of EHR systems for healthcare providers and patients.

This work holds particular relevance for Arkansas by supporting the state's growing healthcare sector and addressing public health priorities. Improving EHR systems can enhance the efficiency and effectiveness of healthcare delivery across the state, potentially leading to better health outcomes for Arkansas residents, especially in rural and underserved areas. Research into EHR data can also inform strategies for addressing health disparities prevalent in the state and contribute to the development of health information exchange networks that improve care coordination.

This research area draws on expertise from computer science, information science, public health, and health management. It connects to ongoing work in meta-analysis, COVID-19 research, health disparities, healthcare policy, machine learning applications, and mobile health technologies. Engagement spans multiple institutions across Arkansas, fostering a collaborative environment for advancing EHR research and its practical applications.