Hospital closures are outpacing hospital openings, and not just in rural areas - urban areas are seeing comparable closure rates. Medicaid cuts are still on their way, with 340B cuts also under consideration, exacerbating an already acute problem. www.fiercehealthcare.com/providers/ho...
Urban hospitals face closure rates similar to rural facilities, study finds
"The Health Technology Ecosystem is an open, voluntary technical collaboration." But how open is it if the conversations are invite only, with no public visibility, and they do not follow appropriate procedures for federal advisory? kffhealthnews.org/health-indus...
AI, Tech Leaders Are Lobbying Trump Health Officials in a Government-Run Chat Room - KFF Health News
This would seem like active antagonization, except that statements from HHS officials are in alignment with the direction that ARPA-H's recent funded initiatives are starting to move - which is fully autonomous, a replacement of human judgement. www.fiercehealthcare.com/ai-and-machi...
RFK Jr.'s AI claims spark physician backlash as debate over medical AI intensifies
Tech initiatives like those from ARPA-H can expand rural telemedicine, but tech alone can't replace surgeons. Anything we do to make the lives of surgeons in rural settings easier and more efficient will extend the care the ones we do have can provide. www.beckershospitalreview.com/or/fewer-sur...
Private practices would absorb 80% of Modifier 25 cuts: Analysis - Becker’s ASC
Interesting announcement for patient facing health AI, with a major investment behind it. I'll definitely be following this one closely. www.businesswire.com/news/home/20...
Revealing insights into how healthcare executives are prioritizing health tech investment dollars, and the ROI they will expect in order to move forward with a product. www.healthcaredive.com/news/health-...
Health execs want strong returns on IT investments
“Innovation should never be measured by how quickly we implement a new tool, but by whether it measurably improved the experience and outcomes of patients and the people caring for them." Speed to value can be a metric, but shouldn't be the metric. www.beckershospitalreview.com/healthcare-i...
5 self-inflicted AI wounds health systems make
AI is as complex as the health system in which we want it to operate - not a magic bullet. It requires conscientious, thoughtful execution, and even then, the benefits it provides may not be financial. www.statnews.com/2026/09/10/r...
Trump officials say AI will help save rural health care. Some leaders in the field don’t believe it
Does your data governance allow you to determine data provenance? www.healthcareitnews.com/news/build-a...
Build the AI audit trail now, before anyone asks for it
In healthcare, the person signing the contract with a vendor is rarely the person who will use it or who will influence adoption. Ensuring all stakeholders are on board requires answering the "what's in it for me?" question for each, recognizing that they have different priorities and motivations.
Just as Medicaid cuts will start to take effect, employers will also be cutting health coverage benefits, requiring hospitals to operate under unprecedented deficits. We should expect additional cuts to services and layoffs as they desperately try to compensate. www.axios.com/newsletters/...
🧑🧑🧒 Benefit cuts begin
The startup environment is life-giving - so much passion and brilliance. There's a lot that larger orgs could learn from the plan clarity required to pitch. What the target is, how you plan to get there, whether you have the right team, as well as what's reasonably attainable short and long term.
If your product is intended for sale directly to clinics, it's important to be aware of the changing landscape in who owns the clinic, and therefore, who will sign the contract. Be sure you do your research, especially before you pitch a reimbursement model! www.beckersasc.com/asc-transact...
59% of US physicians are now hospital-employed: Analysis - Becker’s ASC
We stress the criticality of ongoing monitoring of AI for drift and bias, but a secondary reason may be what flips the scales in favor of formal guardrails - cost. Agents run amok, or run inefficiently, can rack up steep bills without anyone noticing. www.beckershospitalreview.com/healthcare-i...
Who's minding the machines? CIOs raise concerns about AI agent oversight
- Do you have solid consent processes for AI usage? - Do you have a viable path to care for patients who decline? - Is consent reliant on physicians experiencing consent fatigue? Patient attitudes toward future AI use depends on the trust we establish now. pmc.ncbi.nlm.nih.gov/articles/PMC....
Informed Consent for Ambient Documentation Using Generative AI in Ambulatory Care
Improving clinical workflows requires intentional organizational change management, built on a solid foundation of trust. Lencioni's model demonstrates how the results you seek are inextricably tied to trust, vulnerability in healthy conflict, and honesty. www.bitesizelearning.co.uk/resources/fi...
5 Dysfunctions of a Team: Summary, pyramid & manager tactics — BiteSize Learning
Fumbling around the internet looking for reliable sources for stats for TAM/SAM/SOM or pitch decks in health tech? This guide will get you to the right urls quickly. Includes a JSON file for your LLM. 50OFFNEWITEM for 50% off for the next two weeks. donicaconsulting.myshopify.com/products/mar...
Market Sizing Data: Directory of 300+ Free Web-based Data Sources
Instead of labeling a patient as non-compliant, we should consider what's getting in the way - transportation needs, child care, cost, etc. The same goes for clinicians. Instead of seeing non-compliance as a policy enforcement or education problem, consider what's getting in the way. #digitalhealth
As life-and-death as everyday clinical workflows are, things happen that make caring for patients exponentially harder. A fire or farmer severing network and VOIP communication. Disease outbreaks. Evacuations. Build for everyday processes, but plan for inevitable, emergent deviations. #digitalhealth
Consent is such a critical prerequisite to what we do, particularly as finely parsed sensitive data makes it more complex for patient care providers to track. Substance abuse, genetic data, etc. I'm glad to see it getting this attention. #digitalhealth www.healthcareitnews.com/news/new-int...
New interoperability resources for adopting computable consent
The potential for combining a patient's genetic data with symptomatic data to identify differential diagnoses with AI, particularly for rare diseases, is immense. We're just starting to see the possibilities in retrospective data sets. #PrecisionMedicine #HealthAI ai.nejm.org/doi/full/10....
LLM-Assisted Reanalysis of Unsolved Rare Disease Genomes Increases Diagnostic Yield
There is immense potential for earlier diagnosis of rare diseases if we use generative AI to find trends that point to a diagnosis, hand those findings to clinical research to vet, and then utilize the confirmed findings to provide targeted clinical decision support. #digitalhealth #healthai #medsky
Much of the industry is still treating AI governance as though it is a separate function, different from an org's usual governance process. But "AI-enabled" is now a baseline expectation, and AI requirements should be additive to a consolidated review process. #digitalhealth #healthai
In emergencies, checklists free up pilots' mental bandwidth to handle unique situations. Likewise, EHRs should streamline the routine, reducing cognitive load so that physicians can creatively focus on individual patient needs. To learn more about doing it well: atulgawande.com/book/the-che...
The Checklist Manifesto
Human-in-the-loop is not a lever to pull to abdicate responsibility for AI model outcomes, or to reduce vendor liability. The oversight person must have the time, knowledge, and autonomy to override, and the model must provide transparency and explainability. Otherwise, it's all for show. #HealthAI
Although a step in the right direction, having a link available in the EHR to launch an AI tool is not EHR integration, and certainly not clinical workflow integration. #digitalhealth #CDS #ClinicalAI www.mobihealthnews.com/news/openevi...
OpenEvidence, Boston Children's partner to study AI's impact on clinical care
Even an accurate and explainable clinical decision support alert can be counterproductive, unless it is provided to the right individual, at the right time, within the context for that person to take action. Without all three, it's just more noise for physicians. #digitalhealth #CDS
Under HIPAA, one method for de-identifying PHI is determining that "a person with appropriate knowledge of and experience with generally accepted statistical and scientific principles and methods" couldn't re-identify the patients. With ready access to AI, we must assume capabilities have changed.
It’s important to get agreement on success metrics prior to starting implementation, otherwise you run the risk of a mismatch on expectations. Look carefully at whether the selected metric(s) will be impacted at all by the changes, and whether the metric is aligned with the central objective.
Your organization's AI governance maturity is an extension of your existing governance framework. If governance has historically been complex or incomplete, you'll need to fix that foundation quickly so that you can adapt to the new pace and risks. Without a firm foundation, governance fails.
Startups commonly measure how well their models perform based on retroactive data. But we can’t afford to see that data as infallible. Differing processes or perceived meanings, bad judgement, and biases all live in the data before we start. How do you normalize your data for model training?
One reason physicians struggle with alert fatigue is that hospitals default to more inclusive alerting - just in case - rather than paring them to a level where they are all meaningful. I understand the fear of missing an alert, but more-is-better results in frustration and unread critical messages.
Healthcare is complex. To be successful in healthcare tech, you need to lean into the complexity.
Perhaps a conference we’re both attending, or an idea you’d like to dig into? Let’s chat.