Reading the Body’s Signals: AI’s Ultimate Healthcare Opportunity
We are on the cusp of an age of anticipatory medicine, an explosion in our ability to read the body's signals and catch the killers before they do their damage.
Before You Sign That AI Contract: 7 Questions Every Healthcare CFO Should Ask
Here's how finance leaders can evaluate AI investments in revenue cycle management before committing budget, and the risk exposure most vendor pitches leave out.
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Inside an Automated Healthcare Practice: Redesigning Care Around People, Not Paperwork
By reducing administrative burden and redesigning workflows around human needs, it creates space for what matters most: connection between clinicians and patients.
Ambient Scribes Improve Clinician Retention, Cleveland Clinic Research Shows
A new paper shows Cleveland Clinic's AI scribe rollout is paying dividends in clinician satisfaction and retention. These are key metrics for hospitals to track, given they spend millions on recruitment and retention efforts amid an ongoing workforce crisis.
Why Bone Health Is Preventive Healthcare’s Next Big Category
The next healthcare revolution isn't about treating osteoporosis, it's about preserving mobility and healthspan.
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How Payers and Health Plans Think of Identity and the Risks of Fragmented Data
A recent webinar, sponsored by Verato, offered insights from executives at SCAN Health Plan and the Alliance of Community Health Plans on a wide range of tech challenges in healthcare from fragmented data to technology architecture to patient identity.
Healthcare Keeps Buying AI. But Nobody’s Building the Workforce to Run It.
Most younger professionals entering the workforce have little visibility into interoperability, digital health infrastructure, or healthcare data architecture as career pathways.
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The Healthcare Payments Industry Faces a Perception Challenge
Healthcare payments are no longer about transactions. It’s about controlling the revenue cycle. And increasingly, that control is not sitting with ISOs.
New Startup Launches to Close the Bedside Communication Gap in Hospitals
The 1842 Fund launched a new startup called Suvi Health, which is developing an ambient AI platform that records hospital bedside conversations and turns them into a shared task list for patients and families. The company will pilot the tool with Mayo Clinic starting next month.
MedCity Pivot: How Aetna is Adopting Agentic AI
In this episode of the MedCity Pivot Podcast, CVS Health Aetna's chief digital and technology officer talks about how the insurance business is using AI, especially agentic AI, in healthcare. Point to note: AI is not used in automatic denials of coverage.
How to Keep Clinicians Satisfied, the Ascension Way
Ascension is pushing AI beyond note-taking to tackle the billing, order entry and nursing handoff work still weighing on clinicians after a patient visit ends.
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Compliance Alone Won’t Fix the Home Health Fraud Problem
With home health fraud growing more sophisticated through AI, post-pay audits are no longer enough. Payers must shift to proactive, tech-driven prevention to catch improper claims before paying them.
Where Will AI Deployment Benefit Payers the Most?
We are taking a look at how health insurers are using AI, defining success, and managing cybersecurity risks. Give us your opinions by completing our brief, anonymous survey.
Debunked Episode 29: CMS GLP-1 Drug Pilot Program, RPM Strategy Raise Questions
At MedCity News’ inaugural Bullseye conference in Chicago, Debunked Podcast co-hosts Arundhati Parmar and Samir Batra discussed recent CMS actions and Mayo Clinic’s former research director, who has filed a complaint against the medical center over how it’s deploying AI.
6 Ways UnityPoint Health Is Trying to Make Clinicians’ Jobs Easier
UnityPoint Health's chief medical officer, Gregory Johnson, shared several ways the system is using AI to lift administrative burden off clinicians and get them back to patient care — including ambient scribing, real-time capacity tracking and AI-powered chart review.
The Trust Gap in Digital Health and AI Starts With Design — Here’s How to Close It
The gap between what technology can do and how much patients trust it won't close on its own. Here are some design decisions that build trust — and some that quietly destroy it.
From Ethics to Trust: Strategic Guardrails for Safe, Secure, Effective AI in Healthcare
Ethical AI and trustworthy AI frameworks should be table stakes for healthcare and life sciences organizations seeking to innovate with AI.
Three Ways Distressed Healthcare Must Evolve
What healthcare needs now is a connected, deeply integrated system of action that works with the system of record to complete work across the enterprise, supported by accountable partners willing to stand behind the outcomes they create.