
@ShahidNShah
Healthcare is at a crossroads. For decades, fragmented patient records and disjointed systems have plagued care delivery. When medical histories are incomplete or delayed, the consequences are severe: delayed cancer treatments, prolonged transplant evaluations, and unnecessary tests that frustrate both patients and providers.Interoperability—the seamless exchange of healthcare data between providers, payers, and patients—has the potential to solve this. It can reduce treatment delays, streamline care coordination, and empower clinicians to make faster, more informed decisions. Yet, while the goal is clear, the path to true interoperability remains riddled with challenges.
Healthcare organizations are no longer limited to traditional workflows. Today, AI, machine learning, and API-driven data exchange are transforming how patient information is securely collected and shared. These advancements offer real-time solutions that have the potential to significantly enhance data accuracy and accessibility across the care continuum.
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CIOs and other healthcare technology decision-makers polled by Stoltenberg Consulting say reimbursement and workforce challenges are also top of mind as they continue to invest in artificial …
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