When industrial companies build intelligent products like digital twins, the idea is to get to optimal outcomes more consistently. An optimal outcome reduces cost, increases output, and otherwise has a positive impact on operations.
Digital twins help organizations achieve optimal outputs more consistently by making the many moving parts and considerations of any one decision more accessible. When everyone can access a tool that incorporates everyone else’s institutional knowledge, for
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Health IT & Digital Health-Opinion | Op-Eds | Guest Columns | Analysis, Insights - HIT Consultant
6 Ways Hospitals Can Structure CMS TEAM Collaboration Agreements with Specialists
As the Centers for Medicare & Medicaid Services moves forward with the Transforming Episode Accountability Model (TEAM), hospitals are taking on financial accountability for Medicare’s most complex and costly surgical episodes. Hospitals that don’t take action to achieve better patient outcomes could find themselves owing Medicare money.
While TEAM shifts meaningful risk to hospitals, it also creates an opportunity often missing in value-based care: true collaboration with
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Why Clinical Communication Projects Die in the Boardroom (And How to Save Them)
Most clinical communication business cases fail at the board level.
Not because the technology doesn't work. Not because the clinical need isn't real. The problem is simpler: the financial framing doesn't match what decision-makers actually care about when allocating capital.
After sitting in board meetings across hospitals in Asia Pacific and the Middle East, I've watched proposals succeed and fail. The ones that get approved do something different. They connect clinical communication
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The “Silent” Risk in the NICU: Why Your EHR Can’t Protect Infant Feeding
Feeding is one of the most frequently performed high-risk workflows in the NICU, yet it remains among the least consistently protected by end-to-end safety controls. Medically fragile patients are vulnerable to errors and poor nutrition. Feeding errors often go unreported, and mistakes in management or preparation put infants at risk and distress families. Workarounds quickly become more than one-offs; they become normalized safety gaps that leadership must address.
Hospitals have invested
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The Great Opt-Out: Why Patients Are Ditching Insurance for Cash-Pay Digital Care
Twenty-seven million Americans are uninsured. And nearly one in four who are covered skip or delay care because of cost. As of January 1, more than 20 million ACA enrollees watched their premiums double when enhanced subsidies expired, and Medicare telehealth flexibilities are currently hanging by a thread. None of these crises happened in isolation. They converged, and millions of Americans are feeling the impact all at
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The “Pilot Purgatory”: Why 80% of Pharma AI Projects Fail (And How to Fix It)
Artificial intelligence is rapidly reshaping the life sciences industry, influencing everything from early-stage drug discovery to clinical operations, manufacturing, and patient engagement. While enthusiasm for AI remains strong, many organizations continue to struggle with moving from experimentation to scalable, enterprise-ready deployment. Recent industry data found that 80% of healthcare AI projects fail to scale beyond the pilot phase. In highly regulated environments like healthcare, AI
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Should Healthcare Organizations Transition to Biometric Security?
As digital transformation accelerates across healthcare, biometric security — the use of unique physical or behavioral traits, such as fingerprints, facial features or iris patterns, to verify identity — is emerging as a compelling alternative to traditional password‑based systems.
Healthcare professionals evaluating this shift must understand the current landscape of biometric adoption as well as the advantages, drawbacks and the careful steps required for a successful transition to
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How Data Integrity Enhances Healthcare Payer Efficiency and Member Trust
Healthcare costs, claims accuracy, payer relationships, and revenue integrity are all intersecting now more than ever. Healthcare organizations are realizing they’re no longer judged only on clinical outcomes. They’re judged on billing accuracy, clarity in communication, fairness in approvals, and the degree of financial predictability they offer the people they serve.
Payers now sit at the center of a system where trust depends on data being correct, up to date, and clean enough to support
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America’s Children Need Digital Therapy. The Healthcare System Won’t Let Them Have It.
In 2020, the FDA cleared the first video game as a medical treatment. EndeavorRx, developed by neuroscientists at UC San Francisco, was proven in five clinical trials to improve attention in children with ADHD without the side effects of stimulant medication. Parents could download it to a tablet. Their children could play for twenty-five minutes a day. It worked.
Six years later, adoption remains limited and reimbursement inconsistent. Most American families have never heard of it.
The
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How Open Source Collaboration Can Accelerate Medical AI Innovation and FDA Approval
Big medicine, medical startups, and much of medical academia have historically been steeped in secrecy and proprietary research. This is a direct result of the privacy in patient and medical data, but as AI supercharges everything from diagnostic medicine to patient treatment and care, it’s time to change the paradigm. By embracing the principles of open source collaborations and finding a balance between protecting privacy and sharing knowledge, the industry can
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