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@ShahidNShah
@ShahidNShah
Three Ways AI Is Transforming Medical Coding to Improve U.S. Healthcare
For decades, niche automation and piecemeal software solutions have been deployed by health systems to make electronic health records (EHRs) more effective in delivering care, monitoring quality, and controlling costs. Much of these objectives rely on the presence of accurate code sets to describe the patients’ condition and the care delivered.But healthcare staffing shortages combined with the growing complexity of medical coding and payer rules, and pressure on providers for more personalized care have left many hospitals swimming upstream, struggling with staffing shortages, provider burnout, and unreimbursed care.
Medigy Insights
Beyond the strains of patient care delivery, the status quo asks providers to spend extensive administrative time on chart documentation and medical coding. Given there are no coding classes in medical school, it’s not surprising many doctors simply default to their most used, or “favorite” codes. All too often this leads to poorly calibrated and inaccurate coding, both in respect to the acuity of a patient and the level of care provided.
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