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What is the promise of AI for healthcare?

In the complex US healthcare landscape, patient outcomes and satisfaction are critical metrics of success for patient-centric care. Prioritizing the patient's specific needs, preferences, and values, and involving the patient as an active partner ensures patients are included in all clinical decisions. The adoption of patient-centric care has been shown to enhance patient satisfaction significantly and improve clinical outcomes, addressing many of the inherent challenges of the US healthcare system.

The Centers for Medicare & Medicaid Services (CMS) recently released the

The introduction of digital technology in healthcare has presented opportunities as well as concerns, especially regarding patient confidentiality and privacy. Not only is it mandatory by law, but healthcare providers also have an ethical duty to safeguard patient data from breaches. Primarily, one of the key areas where patient privacy and confidentiality must be upheld is in documentation. Proper documentation is crucial for providing quality care, but it must be done in a way that respects the patient's privacy.

While healthcare providers understand the value of transitioning from fee-for-service to value-based care VBC), the actual adoption has been slow. Despite the promises emphasizing quality of care, improving patient care outcomes, and reducing healthcare costs, successful execution requires innovative technology and commitment.

Specialty care practices face significant challenges in implementing value-based care. The difficulty of securing contracts with payers and healthcare organizations is exacerbated by limited data transparency and a lack of compelling value propositions. The need for scalable clinical infrastructure and effective engagement with patients and stakeholders presents ongoing hurdles.