AI Improves Electronic Health Record (EHR) Systems

Researchers at the Massachusetts Institute of Technology (MIT) Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Beth Israel Deaconess Medical Center have teamed up to improve electronic health records (EHRs) with artificial intelligence (AI) machine learning and published their findings in a recent study. The automation of patient health records gives hope to benefits to clinicians, patients, and stakeholders such as increase speed of data transfer, lower costs in maintaining paper records, increase efficiency, improve outcomes by avoiding or reducing clinical errors. However, electronic health records have yet to achieve many of these positive benefits and is a leading cause of burnout and stress among physicians according to the researchers. Clinicians are spending time on using the electronic health records instead of talking with patients. The worldwide electronic health records market was USD 26.8 billion in 2020 with North America having the highest revenue share of 45 percent according to Grand View Research.