Over the past decade, the Center for Medicare & Medicaid Services (CMS) has been steadily reshaping how U.S. healthcare is funded – shifting from a fee-for-service model to one that emphasizes value, outcomes, and efficiency. Starting with the Affordable Care Act in 2010 and accelerating with initiatives like the Medicare Access and CHIP Reauthorization Act (MACRA) in 2015, CMS introduced models such as the Merit-based Incentive Payment System (MIPS), the Accountable Care Organization (ACO)
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Health IT & Digital Health-Opinion | Op-Eds | Guest Columns | Analysis, Insights - HIT Consultant
Elevating Patient Trust: Why Automated Reputation Management Is Essential for Healthcare Organizations
In today’s digital-first healthcare landscape, trust is often built long before a patient walks through a clinic’s doors. For many, the decision to choose a provider hinges on a simple Google search. In fact, more than 70% of recruiters check candidates’ online reputations before hiring. Rely on online reviews as a primary decision-making tool when selecting healthcare providers. In this environment, an organization’s digital reputation has become a critical part of the patient experience and a
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Patient Experience is Employee Experience: Delivering Care is a Team Sport
"Teamwork" has become the most important driver of strong inpatient experiences. This might seem surprising, but it shouldn't be. Patients are extraordinarily sensitive observers of healthcare environments. They’re not just paying attention to how their care team interacts with them, but how clinicians interact with one another. When they leave the door open during a hospital stay, they're tuning in to the most compelling reality show in their lives at that moment: the team caring for
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The Future of Healthcare Is in Your Pocket: How AI and Smartphones Are Transforming Patient Care
The U.S. healthcare system is in crisis. Financial instability is straining hospitals, frontline staff are stretched beyond capacity, and patients continue to encounter disjointed care and unequal access. Decades of focusing on reactive treatment over prevention have left us ill-equipped to manage chronic conditions, rising costs, and growing health disparities.
Despite widespread consensus about the importance of population health management and value-based care, the current approach
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Why AI Isn’t Curing Disease, Yet: Crossing Pharma’s Valley of Death with Physical Intelligence
We were told AI would cure disease in years. That’s a fallacy.
Today, over 90% of clinical drug candidates still fail. It costs more than $2 billion and over a decade to bring a single drug to market. And now the industry faces a brutal paradox, which is the promise of exponential progress stuck inside a system governed by diminishing returns.
This is pharma’s version of Eroom’s Law, i.e. the inverse of Moore’s Law, where the return on drug development declines as science
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Smarter Medication Management: The Shift from Polypharmacy to Personalized, Data-Driven Care
As older adults increasingly find themselves managing 10 to 15 medications—spanning prescriptions, over-the-counter drugs, and supplements—the urgency to refine medication management has never been greater. Over the last two decades, the average number of prescriptions for individuals 65 and older has doubled, driven by a mix of longer life expectancy, chronic disease management, symptom-based prescribing, and the common practice of layering additional medications
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Healthcare’s Unstructured Data Problem: The Case for Modernization
Like most other sectors operating in the digital economy, healthcare has become hugely reliant on unstructured data. It’s widely acknowledged that this data type, which doesn’t follow a predefined format and resides outside traditional databases, now comprises 80-90% of all organizational data.
In healthcare settings, this can encompass a wide range of items, including medical imaging, scans, emails, claims documents, and device outputs, among many other possibilities. This information is
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The Power of Government Health Data: Unlocking Innovation and Better Care
Government healthcare data is a public asset with immense potential to enhance care and accelerate progress. When shared responsibly, this resource not only drives innovation and the economy but also importantly improves health outcomes. With the right infrastructure, collaboration, and education, we can unlock powerful insights that lead to faster medical discoveries, proactive health decisions, enhanced patient care, and more effective healthcare operations.
Responsible Data Access:
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The Future of AI in Healthcare: Best Practices for Responsible Innovation
Our patients can’t afford to wait on officials in Washington, DC, to offer guidance around responsible applications of AI in the healthcare industry. The healthcare community needs to stand up and continue to put guardrails in place so we can roll out AI responsibly in order to maximize its evolving potential.
Responsible AI, for example, should include reducing bias in access to and authorization of care, protecting patient data, and making sure that outputs are continually
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Medical Imaging Ecosystems: A New Model for AI Adoption and Interoperability
The medical imaging industry is increasingly embracing a simple truth: there is strength in numbers. This is evident in the growing adoption of partnership ecosystems. This collaborative model brings technology companies and service providers together to deliver seamless solutions across the full continuum of care, from initial imaging to diagnosis, treatment, and follow-up support.
This model is gaining traction largely due to the flexibility it affords hospitals and health systems in
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