Ambience Healthcare Unveils AI-Powered Medical Coding Model
Ambience Healthcare, the San Francisco startup in health technology, has come up with an AI model that efficiently surpasses doctors in proper medical coding of records.
The company has been working with the advanced language models put forth by OpenAI to develop a tool that can recognize and assign ICD-10 codes, which are the codes used to classify diseases and conditions as they relate to billing and record-keeping systems.
Integrated Tools to Support Clinical Workflows
The AI model outperformed all human coders, producing 27% gain in accuracy. The model records and transcribes doctor conversations with patients, generates codes that are intuitive, developing a process streamlining the documentation process. Beyond improvement in coding accuracy, it reduces the amount of time clinicians spend with administrative tasks to maximize their interaction with patients.
Integration into the existing continuum of electronic health records (EHRs) remains at Ambience's feature rich primary platform functionality in real-time activity assistance during patient visits.
Such features as AutoScribe, which automatically generate entire medical notes, AutoCDI to assure appropriate coding and documentation, and tools such as AutoRefer and AutoAVS for specialist referral and individual summary creation will eventually offer the additional benefit of reducing clinician burnout and therefore improving overall health care delivery.
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Future of AI in Healthcare
Adoption of Ambience's AI solutions has been widespread, with more than 65 percent of clinicians at John Muir Health using the platform across 15 specialties. Efficiency and enhancement impact study closed the total enterprise rollout of the health system.
In addition, the feature boasting of being scalable and possible integration capacity has brought in interesting funding to the tune of a 70-million Series B funding round, co-led by Kleiner Perkins and the OpenAI Startup Fund. This impressive financial commitment signals increased confidence in the prospect of AI leading a complete revolution in healthcare operations.
AI tools like Ambience's model, as designed, may inspire a more appreciative consideration of such technologies' thoughtful incorporation into clinical practice as complements rather than replacements for human expertise.
