2 Sources
[1]
Ambience announces OpenAI-powered medical coding model that outperforms physicians
Dr. Priti Patel, CMIO at John Muir Health, uses Ambience before starting a patient encounter. Artificial intelligence startup Ambience Healthcare on Tuesday announced a new medical coding model that outperforms doctors by 27%. Ambience uses AI to draft clinical notes in real-time as doctors consensually record their visits with patients. The company used tools from OpenAI to build the new model. The startup is part of a fiercely competitive market that has taken off as health-care executives search for solutions to help reduce staff burnout and daunting administrative workloads. The company's new model can listen to patient encounters and identify ICD-10 codes, which are internationally standardized classifications for different diseases and conditions. There are about 70,000 ICD-10 codes that are regularly updated and used to facilitate billing and other reporting processes in health care. Ambience said its new ICD-10 model can reduce billing mistakes and help clinicians and professional coders work more efficiently. The model notched a "27% relative improvement over physician benchmarks," according to a release on Tuesday. "We're not replacing doctors or coders," Brendan Fortuner, Ambience's head of engineering, told CNBC in an interview. "What we're doing is we're liberating them from administration, and we're fixing mistakes that help make health care better, safer, more cost-effective."
[2]
An AI-Powered Startup Can Now Perform This Important Task Better Than Doctors
A healthtech startup has used OpenAI's technology to develop a new, customized AI model that they claim can outperform real physicians at generating accurate medical codes and notes. Ambience Healthcare, a San Francisco-based company that provides healthcare workers with an AI-powered platform, says that its new model is specifically designed to identify ICD-10 codes, which are used to classify diseases and medical conditions for billing and record-keeping purposes. By recording a doctor-patient conversation, the AI model can intuit the conditions being discussed and generate notes with accurate codes. From corporate giants like Amazon, which recently launched AI tools for medical practitioners, to startups like Suki AI, businesses large and small are creating AI-powered products aimed at helping doctors and clinicians spend less time on administrative work, like writing and filing medical notes. According to a 2024 study published by Google Cloud and The Harris Poll, clinicians spend an average of nearly 28 hours per week on administrative tasks, and 94 percent of them say their administrative workloads prevent them from spending more time helping patients. In a press release, Ambience chief medical officer William H. Morris said that its platform can be understood "as a scribe that fluently speaks both clinical language and the intricate healthcare billing rulebook from day one." In addition to helping clinicians finalize their notes faster, he claims, it will also ensure that "revenue cycle teams receive cleaner, more accurate, and audit-ready charts."
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Ambience Healthcare has developed an AI model using OpenAI's technology that surpasses doctors in medical coding accuracy by 27%, potentially revolutionizing healthcare administration and improving efficiency.
Ambience Healthcare, a San Francisco-based artificial intelligence startup, has announced a groundbreaking development in medical coding technology. The company has created a new AI model that outperforms physicians in identifying ICD-10 codes by a significant margin of 27% 1.
Source: Inc. Magazine
The newly developed model leverages OpenAI's tools to listen to patient encounters and generate accurate medical codes in real-time. This AI-powered system can draft clinical notes as doctors consensually record their visits with patients, streamlining the documentation process 1.
ICD-10 codes, which are internationally standardized classifications for diseases and conditions, play a crucial role in healthcare administration. With approximately 70,000 codes that are regularly updated, the accuracy of these classifications is vital for billing and reporting processes 1.
Ambience's innovation aims to address several key challenges in the healthcare industry:
Reducing Administrative Burden: The AI model could significantly decrease the time healthcare professionals spend on paperwork. A 2024 study by Google Cloud and The Harris Poll revealed that clinicians dedicate nearly 28 hours per week to administrative tasks 2.
Improving Accuracy: By reducing billing mistakes and enhancing the efficiency of clinicians and professional coders, the model has the potential to make healthcare "better, safer, and more cost-effective," according to Brendan Fortuner, Ambience's head of engineering 1.
Enhancing Revenue Cycle Management: William H. Morris, Ambience's chief medical officer, states that the platform will ensure "revenue cycle teams receive cleaner, more accurate, and audit-ready charts" [2](https://www.inc.com/ben-sherry/ambience-healthcare-can-now-perform-this-important-task-better-than-doctors/91194284].
Source: CNBC
Ambience Healthcare is operating in a highly competitive market, with both startups and established tech giants vying for a share. Companies like Amazon and Suki AI are also developing AI-powered tools to assist medical practitioners in reducing their administrative workload 2.
The demand for such solutions is driven by the overwhelming administrative burden on healthcare professionals. The aforementioned study found that 94% of clinicians report that their administrative workloads prevent them from spending more time with patients 2.
While the advancements are promising, Ambience emphasizes that their technology is not intended to replace human professionals. "We're not replacing doctors or coders," Fortuner clarified. "What we're doing is we're liberating them from administration, and we're fixing mistakes that help make health care better, safer, more cost-effective" 1.
As AI continues to evolve and integrate into healthcare systems, it has the potential to revolutionize administrative processes, allowing healthcare professionals to focus more on patient care and less on paperwork.
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