Magicare.AI retweeted
Magicare AI is building the operating system that gets patients into skilled nursing care faster, enabling facilities to accept patients in under a minute.
We’re proud to power the inference behind it, helping @magicareai cut costs by over 30% while handling the traffic spikes that come with real-time admissions.
Full story here: baseten.co/resources/custome…
Check every MA patient. Score the path. One click to submit.
Magicare does MA Disenrollment. Simplified.
Tech alone isn't a fix, especially in post-acute care where every facility has its own unique rules and workflows.
The real win happens when AI acts as an assistant, taking the burden off of clinical staff so they can focus on faster, accurate patient care.
Real solutions partner with clinicians instead of giving them another portal to manage.
According to @skilled_nursing Nearly 40% of SNF leaders are planning acquisitions this year.
The real challenge isn't closing the deal. It's integrating local referral rules and workflows without breaking what already worked. Scale requires software that adapts to the building, not the other way around.
M&A in post-acute care usually hits a wall at integration. Forcing every acquired building into a rigid corporate template ruins local intake relationships and slows down admissions.
Our goal is to let operators onboard new facilities in days with custom, building-level workflows while maintaining central control.
Proud to have several members of the Magicare team at the @FHCA conference this week.
If you’re attending, stop by and meet our CEO, @DSchoenbrun . Whether you’re exploring AI for your organization or simply want to talk about the future of post-acute care, we’d love to connect.
Not surprised - specialized healthcare AI outperforming general-purpose models makes sense.
In post-acute settings, high-stakes clinical decisions require more than the "right" answer. They require deep understanding of the care facility, patient needs, clinical risk, and operational realities.
That is what we are building at Magicare : AI that teams can trust to identify the right patient-facility fit at admission and support better decisions throughout the care journey.
The future of healthcare AI is specialized, clinically grounded, and built for the decisions providers actually face.
#HealthcareAI #PostAcuteCare #SkilledNursing
A new ARISE lab-led study evaluated 45 AI models and clinical tools across 1,100 specialist consult cases.
The two main takeaways:
> AI alone outperformed physicians using conventional resources or AI (ie. if a PCP just followed AI’s recommendations, the patient would likely benefit, though more validation is still needed)
> specialized platforms (AMBOSS, Doximity, OpenEvidence, Glass Health) outperformed generalist LLMs
Congratulations to all the facilities recognized on the U.S. News & World Report Best Nursing Homes 2026 list.
Exceptional care starts with exceptional teams and strong operations. Efficient admissions and better operational visibility help support the quality outcomes that matter most.
We’re proud to support providers raising the bar in post-acute care.
#BestNursingHomes #SNF #PostAcuteCare
Nursing homes across the country serve as a place for aging loved ones to be cared for with dignity. Deciding which nursing home is the best option can be difficult, which is why Newsweek is pleased to evaluate America's Best Nursing Homes for 2026. newsweek.com/americas-best-n…
How does a single SNF unlock $1,000,000 in additional annual revenue?
They stop letting slow clinical reviews leak their patient pipeline.
Jonah Weiss (Tacoma Nursing and Rehab) centralized his referral pipeline onto Magicare.ai's dashboard.
Results:
- Response times dropped to minutes.
- Census jumped from 92 to 110.
Watch Jonah share the difference using Magicare has made in this clip with our CEO @DSchoenbrun
From a 92 census to 110. For a single facility, that growth was worth $1,000,000 in additional revenue.
Check out our CEO @DSchoenbrun with Jonah Weiss discussing their ROI in the clip below.
When you automate referral intake, the numbers speak for themselves.
Couldn’t have said it better ourselves ❤️
Patient data still lives behind dozens of pre-API portals. So we built agents that don’t just fetch data, they reason.
Hundreds of browser agents run per case on @browserbase, turning 60-minute manual reviews into 60-second clinical decisions:
📈 200,000+ referrals
📄 2M+ documents
💬 500,000+ messages
All so admissions teams can focus on patients, not paperwork.
Thank you for helping us make this possible! @browserbase
Magicare turned a 60-minute admissions decision into 60 seconds with Browserbase.
Patient data lives behind dozens of portals built before APIs existed. The only way in is the way a human gets in: through a browser.
So @Magicareai runs hundreds of browser agents per case on Browserbase:
> 200,000+ referrals
> 2M+ documents
> 500,000+ messages
Patients, not paperwork.
Read the full story 👇
Exactly. @TheBigUnlock AI should protect the clinician-patient relationship, not get in the way of it.
"The interpersonal relationship is still job number one."
Marshall Glanzer explains why healthcare AI should augment clinicians—not replace them.
🎧 Listen on @TheBigUnlock: hubs.ly/Q04mm21F0
#HealthcareAI #PatientExperience
Vertical AI at its best removes the soul-crushing drudgery so clinicians can actually move faster.
We built precisely this for Skilled Nursing: inference across legacy portals + unstructured PDFs → structured, contradiction-flagged output. No more 12 logins and hundreds of pages just to decide on one admission.
Strong points. @mauricebeckand
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In healthcare, "black box" AI outputs are not just unhelpful, they are dangerous. True clinical AI requires reasoning that is traceable, monitorable, and open to continuous reflection. Our CTO @adammoisa unpacks the exact blueprints for building this level of clinical trust here: magicare.ai/articles/what-ma…
#HealthTech #ClinicalAI #HealthcareIT
🤖 Made with AI
If an AI cannot explain its reasoning, it has no place in clinical decision-making. We must move from blind trust to verifiable transparency. Read the full breakdown by @adammoisa in the link above. 👇
The best technology doesn’t add steps. It removes them.
ALT AI in healthcare should reduce noise, not add complexity.