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Amidst the recent excitement surrounding generative artificial intelligence (AI) like ChatGPT, it is understandable to have varying responses to emerging technologies. Nonetheless, numerous AI technologies, such as optical character recognition, natural language processing, and machine learning, have already gained widespread acceptance and have proven their remarkable reliability in propelling healthcare innovation for payers, providers, and patients. Leveraging AI holds immense potential for expediting value-based care models and is already pivotal for achieving success in risk adjustment, quality improvement, and member management initiatives. The adoption of AI-driven technology guarantees precise and prompt compliance with industry regulations, minimizes audits and penalties, and aids in accurate reimbursement predictions.
Amidst the recent fervor surrounding generative artificial intelligence (AI) exemplified by ChatGPT, divergent reactions towards nascent technologies are to be expected. Nevertheless, several AI technologies, such as optical character recognition, natural language processing, and machine learning, have gained wide acceptance, displaying remarkable reliability in propelling healthcare innovation for payers, providers, and patients. Exploiting AI's potential holds great promise in hastening value-based care models, proving essential in risk adjustment, quality enhancement, and member management programs. The incorporation of AI-driven technology ensures meticulous and timely compliance with industry regulations, curtails audits and penalties, and facilitates accurate reimbursement projections.
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