Any single electronic medical record (EMR) often only contains a fraction of the patient’s total health record. Hence, provider organizations are investing in data exchange. Such EMR interoperability, while having obvious benefits, makes already bloated patient charts that much thicker. Although not a panacea, AI can help aggregate, clean, and prioritize EMR data, thus making the promise of interoperability more attainable than ever. This holds great promise for care continui

Many clinical and administrative workflows, including billing and coding, quality measurement, medical management, care management, prior authorization, and patient risk assessment, require various forms of chart review. AI holds the promise to not only reduce the burden on this costly process, but fundamentally transform the value of patient data.