Saloni Kar

@SpirosMargaris Nope the deciding factor is money. If AI reduces billings for procedures or medical visits, the medical establishment will not “trust”. Always about the money

Half of healthcare organizations are open to AI doctors. But adoption is not the real challenge. 87% expect efficiency gains and 2–4x ROI, yet proving value in clinical settings remains complex. The deciding factor is trust. Without evidence, training and accuracy, adoption will stall. en.softonic.com/articles/would… @mckinsey @softonic

@politico Irresponsible reporting ! Affordable plans so patients can save money and shop for routine care while using insurance only for catastrophes. Like auto insurance - do you call that high risk insurance?

Republicans see high-risk plans as the future of health insurance dlvr.it/TSLsjr

@joshuapliu @EricTopol It usually follows where hospitals and providers make the most money

Why does Health Tech with lots of clinical evidence lack adoption - but Tech with NO evidence spreads like wildfire? We should NOT be surprised and here’s why… What got me reflecting on this was @EricTopol's article where he highlights how no one uses Medical Imaging AI (e.g. for retinal scans) for early prediction of disease despite mountains of evidence, while in contrast,many clinicians use LLMs all the time despite limited evidence. Now I understand his call to action (can we adopt more of the AI that has strong clinical evidence and do more research on the highly adopted AI that doesn’t?), but honestly, many of us have been preaching this philosophy for DECADES - even before AI - and it hasn’t done us much good. So why does this happen? Because the uncomfortable truth in Health Tech is this: clinical evidence is neither sufficient nor perhaps even necessary to drive adoption in Healthcare. No, this is NOT a new phenomenon created by AI - I’ve been living this the last 13+ years while building in Health Tech. Approximately 50 clinical studies and evaluations have been done by health systems on their use of @SeamlessMD demonstrating lower length of stay, readmissions, ED visits, costs and even mortality (!). After all those results our solution would be standard of care, right? Nope. So what HAS driven adoption? 1/ FOMO / peer pressure - “if health systems around me are using it, it socially validates the Tech and I need to stay competitive” 2/ Government funding - e.g. governments providing direct funding for health systems to adopt Tech like ours 3/ Reimbursement model changes - e.g. CMS TEAM bundled payments in the US most recently 4/ Digital care so happens to be a passion of a key exec in the health system But clinical evidence itself is never the reason for adoption - and it’s magical thinking to believe these dynamics will suddenly change in the age of AI. Let’s be honest: AI scribes would still get adopted even if the evidence came out showing it didn’t save time and didn’t generate more visits/reimbursement. If doctors loved it and said it made their lives easier, AI scribes would stay. It doesn’t matter whether a RCT ever shows OpenEvidence is used to directly improve clinical outcomes - CDS AI is here to stay. Asking health systems to adopt specific AI simply because the evidence is strong is going to fall on deaf ears. What actually matters is whether a health system is desperate to solve a problem. And in today’s reimbursement model, using retinal imaging AI for early detection of cancer doesn’t solve anyone’s hair on fire problem. But not getting home on time to see their family and being burned out from typing into the EHR? For those same doctors, that instead IS a hair on fire problem for them personally - so that AI scribe is getting adopted. The only way to change what gets adopted is to change the rules of the game at the policy and reimbursement level. And that’s a whole other game more studies alone can’t win at.

@WSJ @WSJopinion What BS! You are pandering to your pharma advertisers hence this hit piece - where is your journalistic integrity

From @WSJopinion: Trump has a Marty Makary problem. Bad decisions and lots of drama make the FDA commissioner a headache for the president, writes Allysia Finley. on.wsj.com/4u7CYcB

@TechCrunch Near term, the optimal use case is for NPs/PAs, augmented by healthcare AI, to function at the level of physicians, thus alleviating the burnout, access and cost issues plaguing US healthcare

In Harvard study, AI offered more accurate diagnoses than emergency room doctors techcrunch.com/2026/05/03/in-…

@race4freepeople @GeisingerHealth This suggests fraud and abuse. Pls send to CMS / Dr Oz

We didn't have any insurance and @GeisingerHealth upcoded our ER visit to a Level 5 (highest level for life threatening events) for a minor cut requiring stitches. No images. No antibiotics, No Tetanus. Only sutures and was billed $5,853. 😡

@zalaly @JAMANetworkOpen Now compare the risk of vision loss (from 0.29/100 to 0.39/100) to myriad benefits from GLP 1 drugs including reduced incidence of diabetes, heart disease, hypertension, arthritis and aging factors due to obesity. A scientist should not present an incomplete analysis

Do GLP-1 drugs increase the risk of vision loss? Specifically, a condition called NAION: a sudden loss of blood flow to the optic nerve that can cause vision loss. We looked at this in 588,000 people. The answer, in our new @JAMANetworkOpen paper, is yes. 🧵 jamanetwork.com/journals/jaman…

@AlexBerenson In 2024, aggregate profits of US hospitals totaled $326 Billion, FAR MORE than insurer profits totaling $71 Billion (source UPenn LDI. Egregious pricing by hospitals, many of whom enjoy local monopolies, is the root cause of our HC exorbitant costs.

New Unreported Truths, about insane hospital costs

@garrytan @Noahpinion Yes but the bottleneck will be adoption. The gatekeepers of healthcare AI, are both threatened by, and are financially disincentivized from adopting AI. Healthcare is big biz and AI threatens to reduce their revenues

This is the worst the AI will ever be theguardian.com/technology/202…

@anish_koka If you can afford it you mean. Estimates of 40,000-50,000 deaths annually in the US due to lack of healthcare affordability and access

There is a tremendous amount of work that needs to be done to reduce costs in the U.S. system and improve access even more. But there is no country in the world you would rather be in if you have a life threatening illness. See link in reply.

@GoogleAI Optimal use case is for NPs/PAs, enhanced by AMIE, to function at the level of physicians, thus alleviating the burnout and access issues plaguing US healthcare.

Building on Articulate Medical Intelligence Explorer — AMIE, our research diagnostic conversational AI agent — today on the blog we share a first of its kind demonstration of a multimodal conversational diagnostic AI agent, multimodal AMIE. Learn more →goo.gle/42D0QcB

@DrSuneelDhand Neurofeedback is an effective treatment that has actual potential to cure anxiety but is ignored by the psychiatrists and psychologists who just want to keep the cash cow going. From first hand experience.

I don’t know who needs to hear this but the mass prescribing of anti-anxiety medicines hasn’t made society any less anxious

@MayoClinic Yes but this only works if we do AI ONLY reads. We do NOT want a radiologist to oversee or supersede the AI. Studies show AI alone is better than AI + doc. Also helps with access and costs.

A Mayo Clinic-developed artificial intelligence (AI) model can help specialists detect pancreatic cancer on routine abdominal CT scans up to three years before clinical diagnosis. It identifies subtle signs of disease before tumors are visible, when curative treatment may still be possible. The findings, published in Gut, mark a milestone in Mayo Clinic's multiyear research effort to enable earlier detection of one of the deadliest cancers. Learn more: mayocl.in/4eippBP

@TheLancet The benefits of neurofeedback to treat disorders including depression and anxiety need to be widely disseminated

Depression affects approximately a quarter of a billion people globally, of all ages and from all walks of life. A new Seminar provides a comprehensive overview of the epidemiology, diagnosis, & management of depression in adults: spkl.io/6019AAkWd

@noahkaufmanmd You need a pitch deck to pitch to CFOs showing estimated savings. Start with small entities of 50 employees, learn from the experience and move on to bigger companies. My 2 cents.

Denver Businesses!!! See kaufcare.com/pricing for all transparent prices. (Visit counts towards procedures). Members get meds dispensed free and labs and X-rays/US and steep discounts etc. We have bulk discounts for businesses who bring multiple members. Replace your expensive limited insurance with @kaufcare

@medpagetoday To protect physician revenues and job security, of course. AI should NOT be held to a higher standard than human physicians. Under docs, medical errors are the third leading cause of death in the US.

The Utah Medical Licensing Board has called for the immediate suspension of a state-run pilot program that would allow artificial intelligence (AI)-based prescription renewals, noting that it potentially places citizens at risk. Read more at: medpagetoday.com/practicemanage…

@houmanhemmati @ARVOinfo @Eyecelerator cataracts?

I’m at the @ARVOinfo & @Eyecelerator meetings in Denver this week, and am impressed by the sheer number of promising cell & gene therapies for blinding rare & common eye diseases, including restoration of light perception to patients who had previously seen just darkness. I can hardly count the number of clinical trials & preclinical products that are currently being tested. Over the next decade, we are likely to see the emergence transformational biologic treatments, not just in the eye — for every imaginable organ system. This is a great thing for patients.

@libsoftiktok @Aetna In 2024, US hospitals earned aggregate profits of $326 Billion, FAR MORE than insurer profits of $71 Billion. Exorbitant prices charged by hospitals to insurers/Medicare is the root cause of our rising premiums. Need to focus on hospital pricing where an ER visit can cost $20K

Last week I randomly got a $9,000 bill for a hospital visit from last year. I called them up and they said my insurance decided not to cover it. Why? Because. .@Aetna can just decide they’re not interested in covering something and then you’re left with an inflated bill to pay out of pocket after the fact. This is in addition to a $2,000 bill that I already paid. They just don’t want to cover it despite me paying a monthly premium. Meanwhile illegals get free healthcare. Honestly fuck you @Aetna. I’m gonna do everything I can to destroy you.

@DrDiGiorgio Exactly, it’s cost plus pricing with no incentive to cut costs.

This is a perfect example of how inefficient hospitals have become If Ford came out and said that an F150 now costs $500,000 because they need 3x as many people to assemble the truck, nobody would buy it anymore. Meanwhile, hospitals do this and ask for more govt subsidies.

@datawithdev @C4AHC @WaysandMeansGOP UPenn LDI - check out the website. Or just Google with keywords

@Cali_saloni @C4AHC @WaysandMeansGOP @Cali_saloni are you able to share the source for hospital profit data?

Hospital systems keep getting bigger, crushing competition and sticking families with higher bills. The @WaysandMeansGOP hearing exposed it: hospitals defended abusive fees while patients pay the price. More consolidation means more pain for patients bit.ly/4tIZisJ