It is an important time for accountable care, with an enhanced focus on predictable, long-term support for investments in whole-person care, an intentional focus on improving health equity through accountable care, new steps to advance accountable care reforms to improve the patient journey through specialty care, and collaborations to reduce the burden and increase the impact of accountable care reforms across payers.
The future of data interoperability in the US healthcare system is likely to involve a combination of technological advances, the adoption of interoperability standards, and the increased use of data analytics and AI to improve the exchange and use of data in the healthcare industry.
Healthcare and technology companies need to continue working to develop tailored solutions that leverage valuable data and streamline workflows for providers that are regularly dealing with high volumes of patients.
After more than a decade of extraordinary progress, the international movement for value-based health care needs to embrace a new strategic ambition.
We have a broken fee-for-service model that has prioritized revenue capture and lowering operating expenses to increase margins over improved health outcomes. With little incentive or time to devote to achieving outcomes that matter, patients are often given referrals and to see more specialists, get more diagnostic tests and unnecessary procedures.
As an ally to both patients and providers, we can ease the communication burden between entities and deploy easy-to-use and impactful technology. It is incumbent on us not to make technology a barrier but rather an enabler of the free flow of information.
Artificial intelligence-based tools such as natural language processing (NLP) have played an increasingly important part in enabling payers to scour records for key data that is essential for risk adjustment.
Digitizing patient health data was supposed to make it usable for public and population health research. So far, that hasn’t happened.
Hospital and healthcare leaders need integrated, secure solutions that add medical insights and value to their healthcare operations to improve efficiencies, save time or money, and help improve patient care. Digital health solutions help connect data silos for better insights, drive operational excellence for labs and hospitals, and enable clinicians to make more confident care decisions.
Forging partnerships should be a priority for organizations to kickstart their digital transformation journey. Healthcare organizations looking for innovative ways to transform their fragmented ecosystems must look for strategic alliances to deliver and maintain tech-driven health solutions at scale, resulting in better health decisions for patients.
