Thursday, September 17, 2026

< + > Weave Announces Acquisition by Francisco Partners | Globus Medical Announces Acquisition of Higgs Boson Health

Check out today’s featured companies who have recently completed an M&A deal, and be sure to check out the full list of past healthcare IT M&A.


Weave Announces Acquisition by Francisco Partners

Transaction Accelerates Investment in Weave’s AI-Powered Platform for Healthcare Practices

Weave Stockholders to Receive $7.40 Per Share in Cash, Representing a 34% Premium

Weave Communications, Inc., a leading AI-powered patient engagement and payments platform purpose-built for healthcare practices, and Francisco Partners (FP), a leading global investment firm that specializes in partnering with technology companies and technology-enabled businesses, today announced that FP has entered into a definitive agreement to acquire Weave, at an aggregate equity valuation of approximately $650 Million.

Under the terms of the agreement, Weave stockholders will receive $7.40 per share in cash, representing a premium of approximately 34% to Weave’s unaffected closing stock price on August 17, 2026, the last full trading day prior to the transaction announcement. Upon completion of the transaction, Weave will cease to trade on the NYSE and become a private company.

Founded in 2008, Weave is a leading all-in-one customer experience and payments software platform for small and medium-sized healthcare businesses. Weave’s software solutions transform how healthcare practices attract, communicate with, and engage patients and clients to grow their business. Following the completion of the transaction, Weave will continue to operate under the Weave name and maintain its headquarters in Lehi, Utah.

“Since our founding in 2008, we have built Weave for a customer most software companies overlook — the independent practices that care for patients in communities across the country. More than 40,000 locations rely on us today,” said Brett White, Chief Executive Officer at Weave…

Full release here, originally announced August 18th, 2026.


Globus Medical Announces Acquisition of Higgs Boson Health to Transform Healthcare Experience Through AI-Driven Digital Solutions

Globus Medical, Inc., a leading musculoskeletal technology company, today announced the acquisition of Higgs Boson Health, a digital healthcare experience company based in Durham, NC, and incubated out of Duke University. With a mission to transform healthcare experience through digital innovation, Higgs Boson will position Globus Medical to shape patient and provider experience throughout the full episode of care.

“Higgs Boson employs highly experienced teams of software developers and AI scientists who will be joining our team to power our vision of a seamless digital healthcare environment to simplify a patient’s journey through our healthcare system while enhancing real-time information and surgical intelligence available to healthcare providers with the ultimate goal of getting to 95% good outcomes at 10 years for all musculoskeletal surgeries,” said David Paul, Founder and Executive Chairman.

“The acquisition of Higgs Boson and its digital solutions represents the next step in our strategy of enhancing the Globus ecosystem,” commented Keith Pfeil, President and Chief Executive Officer…

Full release here, originally announced August 26th, 2026.



Wednesday, September 16, 2026

< + > Healthcare Networks Need Ubiquity More than Standards

If you’re not following Brendan Keeler, then you’re missing out.  While I find most of what Brendan publishes quite interesting (Yes, I’m an #HITNerd), I was particularly impressed by his recent piece entitled “Make Networks Dumb Again.”  If you’re into healthcare networks and wondering what the future of interoperability looks like you should go and read the whole piece.  For those that are too lazy to read it or ask their favorite Gen AI bot to summarize it, I wanted to point out a few points he makes that really stand out to me along with some additional commentary.

One of the best points he makes is about the value of ubiquity when it comes to networks.  Here’s an excerpt from the article:

Networks are judged first and foremost on ubiquity. Reaching one person with the coolest messaging app is a novelty, whereas a simple SMS can be relied upon to work. A technically elegant network that reaches 70% of its intended counterparties is decidedly less useful than an ugly, expensive one that reaches 99%.

This is why whenever anyone slams on faxes in healthcare, I always rail back at them.  Fax isn’t an elegant solution.  Fax has its weaknesses.  However, it has the two things that every network wants: everyone can send and receive and we all know the standard.  The ubiquity of Fax is what makes it so powerful.  If there was another alternative that everyone adopted, we’d likely see the fax go away.  Just look at the pager to see what I mean.  Pagers are almost gone in healthcare because the smart phone came along and is essentially ubiquitous.

The problem here is that ubiquity is much harder to achieve than you think.  Plus, creating a standard payload for the network that’s useful is a challenge as well.  Or is it?

Does AI change things so that the payload can be as crude as you want and is it flexible enough to create an ubiquitous network?

Keeler in his article shared an example where this is happening with voice calls in healthcare.  Talk about a crude network, but every organization has a phone and call centers answering those phones.  Apply AI to the phone call as we’re seeing happen across healthcare, and you have a very crude standard (a phone call) and a nearly ubiquitous network.  He described the challenge with this kind of network happening in systems that weren’t designed for this type of scale:

AI lets us reach that point extraordinarily quickly, because the incremental participant does not even need to be malicious. Now both ends of our analog networks are automating in an endless loop following their incentives:

  • Consumers and businesses are using outbound agents to work through phone trees.
  • Meanwhile, their counterparties are investing in reciprocal voice AI to handle the inbound volume.
  • Both sides book ever expanding vendor contracts while volume explodes and the settlement rate on the underlying workflow stays flat.

The casualties are unfortunately us humans, the rapidly diminishing portion of the network volume. We queue behind tireless machines that never get frustrated and to whom another attempt is never not worth the effort. The defensive systems built to absorb and deflect all that traffic inevitably make the network harder for humans to use.

That’s right, the AI bots are going to overwhelm these phone systems, which were built for humans who are impatient and are happy to avoid making a call.  AI bots are exhaustingly patient and happy to tie up phone lines for hours until they achieve their desired outcome.

This reminds me of one of the first companies I met who built an AI bot to call insurance companies.  They had a massive need to get information from the payers for their provider clients and the payers didn’t want to work with them with any sort of API.  The CEO finally said, “Screw it, we’re just going to build a bot to call the insurance company.”

They set the bot to work calling the insurance company to obtain the information their clients needed.  After a little bit of time, the payer reached out to the company because the payer had seen such a high volume of calls coming to their call centers.  The payer asked the company if they wanted to use an API to the payer instead of tying up the payer call center agents.

I think we can all appreciate the irony of this.  Although, what’s interesting is what the CEO then told me next.  He said that the payer wanted to give them free API access.  He told them that he didn’t want the API access to be free.  He wanted to pay the payer for the service.  He figured if humans used to cost $5 per call to the payer and his AI bots calling cost 75 cents per call, then he could reasonably pay the payer 25 cents per API call (these are round numbers since I can’t remember his actual numbers, but they’re directionally accurate).

Why would this company want to pay for API access?  The CEO told me that if he got API access for free, one day some executive at the payer would come along and say “Why are we paying so much to provide an API?  That’s expensive, so let’s just stop doing it.”  The CEO surmised that if the API was a profit center for the payer or at least covered its costs, it was more likely to stick around.

What’s fascinating is that we’re seeing this happen all over healthcare thanks to AI.  Voice calls is one area.  Bots leveraging the EHR user interface is another area.  Screen scraping is about as crude an interface as you can get, but it’s ubiquitous which we’ve highlighted is a super power.  Well, it’s a super power until it starts overwhelming the EHR which designed the UI for humans and not bots.  We’ll see how that battle plays out technically and legally with things like information blocking.

Keeler also pointed out what we really want in our networks:

AI native networks can focus on the shared problems, in both healthcare and beyond! Verizon or USPS don’t attempt to know what you’re saying (hopefully). They (and all dumb networks) just do the middle boring stuff:

  • Identity: who you are in a way the other end can verify
  • Permissions: who you are acting for and what they authorized you to do
  • Routing: how to find the counterparty you are trying to reach
  • Trust: whether both ends have agreed to the same rules of the road
  • Receipts: what happened provable after the fact

What do you think of this list for what a network needs to provide?  Are we overcomplicating things like healthcare interoperability?  Sure, we’d all love to have the perfect standard that everyone follows.  However, that’s a pipe dream that Keeler appropriately points out will never be “finished.”  Everyone connected with even a simple standard is far more valuable than 70% of people connected with an elegant standard as we shared at the beginning.

Keeler does finish with the assertion that the federal government needs to be the one to push this type of ubiquitous network in healthcare.  I think he’s right.  No one else in healthcare has the power and reach to really push this forward.  In fact, I argued that this is what ONC should have done with the $36 billion of meaningful use money.  Unfortunately, they took a much more prescriptive approach instead of incentivizing a network of healthcare organizations sharing data where there’s not a natural incentive to do so.  That ship has passed, but they still seem like the only ones who could push widespread adoption.



< + > Blood Labeling Safety When Systems Are Down

The following is a guest article by Jeff Dragoo, Chief Technology Officer at Digi-Trax

5 Things Inpatient IT Teams Should Know

Planned maintenance, cybersecurity incidents, network disruptions, and unexpected outages can interrupt critical healthcare workflows. Business continuity extends to protecting the blood supply network.

Whether it is an emergency or scheduled downtime, blood must keep flowing to where patients need it. Accurate, compliant blood product labeling helps to make that possible. Hospital IT teams have myriad priorities during outages. Like their clinical counterparts, they must triage. Blood bag labeling and tagging systems can keep running on their own if they are designed for stand-alone use. 

A Growing Problem

System disruption is a major risk. Business continuity during IT downtime has become a foremost concern, given the increase in cyberattacks, especially ransomware. Extreme weather events, which can affect systems, are also more common. Meanwhile, healthcare demand does not let up. Women give birth. Shootings occur. Hearts fail. At worst, the crises that impact IT systems are associated with high-casualty disasters created by humans or nature. 

As a result, healthcare organizations, from the point of care to industry associations, are forging emergency preparedness and contingency plans specifically for IT crises. For example, Blood Centers of America (BCA), the nation’s largest blood supply network, has digital darkness protocols for more than 60 independent community blood centers. Technology suppliers are included in these plans.

Is your organization ready? The following are five important considerations.

1. Blood Supply Visibility and Viability

Accurate labeling is crucial for patient safety in care settings where transfusions might be required. The emergency room (ER) might be the first to come to mind, but blood also must be available in labor and delivery suites, operating theaters, intensive care units (ICU), and other departments. Each bag must be compatible with the patient’s blood type. If not, there can be dire outcomes, including death. 

Blood products pass through multiple handoffs before reaching the patient. A common path is from the blood collection center to a hospital blood bank or laboratory. There are many different types of blood products, each with its own standardized identification requirements. Here are five examples: 

  • Whole blood
  • Packed red blood cells (PRBC)
  • Platelets
  • Fresh frozen plasma (FFP)
  • Cryoprecipitate (cryo)

Every handoff in this supply chain presents an opportunity to preserve — or compromise — important data vital to patient care. Barcode-enabled workflows, standardized labeling practices, and reliable data capture help maintain efficiency, safety, compliance, and traceability throughout the process. 

2. Downtime Impact

As digital darkness procedures evolve, more healthcare organizations are taking a closer look at specialized workflows, including blood labeling and identification. High-profile downtime crises, such as the CrowdStrike outage, have spurred this attention. Errors and lag time in the blood supply network can have a cascading impact on everything from surgical procedure schedules to blood supplies during a disaster.

One example is crossmatching, the final verification before a blood unit is released for transfusion. Crossmatching confirms that the patient’s blood is compatible with the donor blood unit by validating patient identification, ABO/Rh type, antibody considerations, and blood unit tracking information.

If an automated process is unavailable, clinical staff might have to manually prepare blood bag labels or tags, handwriting essential information. That can increase the potential for transcription errors, workflow delays, and inconsistent documentation during a time-sensitive process — all of which pose patient safety risks.

3. Workflow: Processes, Software, Peripherals

A successful downtime strategy has many moving parts. Automated blood labeling solutions often interface with other software, medical devices, and peripherals. This can include electronic health and medical record (EHR-EMR), laboratory information system (LIS), and blood establishment computer (BEC) solutions, labeling middleware, plus barcode label printers, scanners, and mobile devices. This connectivity is desirable for many reasons, including seamless operations and lowered risk for human error. Still, when other systems are down, you want your in-house blood supply processes to function independently, as smoothly as possible.

Clinicians must be able to maintain efficient workflows. Otherwise, they face administrative burdens and manual documentation that take time away from direct patient care. To sustain blood product workflow during downtime, there must be a fully operational labeling ecosystem that includes barcode scanners, mobile computers, label printers, and device management solutions. (See Table 1.)

By planning for the entire workflow — not just label printing — healthcare organizations can improve productivity, support staff during downtime events, and maintain continuity of operations until core systems are back online.

4. Compliance, Traceability and Auditing

Every blood unit requires accurate traceability, from origin to end use. When a blood labeling solution can operate in stand-alone mode, it helps to preserve compliant labeling procedures, documentation, and audit accountability. 

The primary alternative to automated labeling is handwriting. There are four standard sections of a blood bag label, each containing crucial details about the blood product. Manually recording this information can quickly overwhelm staff, slow workflow to a crawl, and add risk for human error. 

Preparedness is not just a matter of printing blood bag labels during digital darkness; it is having barcode scanning functionality. This enables efficiency and accuracy while leaving a digital trail of information that can easily be uploaded to BECS when systems are restored. Otherwise, staff are left to their handwritten notes, which they must manually enter into BECS. 

5. Preparation Builds Resilience

Hospitals have made good progress in establishing digital darkness preparedness plans. As these efforts evolve, blood labeling and identification remain an important part of the conversation.

Here are some best practices for situations when cloud and wireless connections are down and system interfaces are disrupted. 

Safe blood-related workflows depend on much more than technology. It takes cross-functional collaboration between IT, laboratory services, hospital and blood bank leadership, clinical operations, and vendors. This fosters better all-around knowledge of how blood bank and laboratory personnel use these technologies during both routine operations and downtime. 

When downtime occurs, uninterrupted blood product handoffs, labeling, and data verification are mission-critical. With a solid plan in place, IT departments play a crucial role in blood supply safety and continuity of patient care. 

About Jeff Dragoo

Jeff Dragoo is Chief Technology Officer at Digi-Trax LLC, where he has spent 18 years leading the development of labeling and identification systems for blood banks and transfusion services. He serves on ICCBBA’s Americas Technical Advisory Group (ATAG) and Cellular Therapy Coding and Labeling Advisory Group (CTCLAG), contributing to the ISBT 128 standards that govern blood and cellular therapy product identification and safety. His work bridges system engineering and patient-safety practice, with particular focus on ensuring labeling integrity when systems experience downtime or failure.



< + > This Week’s Health IT Jobs – September 16, 2026

It can be very overwhelming scrolling through job board after job board in search of a position that fits your wants and needs. Let us take that stress away by finding a mix of great health IT jobs for you! We hope you enjoy this look at some of the health IT jobs we saw healthcare organizations trying to fill this week.

Here’s a quick look at some of the health IT jobs we found:

If none of these jobs fit your needs, be sure to check out our previous health IT job listings.

Do you have an open health IT position that you are looking to fill? Contact us here with a link to the open position and we’ll be happy to feature it in next week’s article at no charge!

*Note: These jobs are listed by Healthcare IT Today as a free service to the community. Healthcare IT Today does not endorse or vouch for the company or the job posting. We encourage anyone applying to these jobs to do their own due diligence.



Tuesday, September 15, 2026

< + > Modernizing the Front End of Healthcare

The following is a guest article by Thomas Urie, President and COO at FormAssembly

Over the last decade, healthcare has undergone what looks, from the outside, like a significant digital transformation. Patients can easily register themselves online, schedule and manage their own appointments, and access records through their portals. But while the industry has come a long way in a relatively short amount of time, much of that transformation was largely superficial.

In many cases, only certain elements of these systems went digital without ever being connected to one another and without fully taking into account the overall patient experience. The result? Online forms that go nowhere, patients having to re-enter the same information twice, or staff being left to reconcile records that should have synced automatically in the first place.

Much of this is a consequence of how healthcare’s digital transformation has unfolded. The pandemic forced organizations to digitize patient access almost overnight, leading to rapid investments in online scheduling, patient portals, virtual care, and digital registration. According to a GlobalData report, 80% of surveyed healthcare industry professionals stated that the pandemic accelerated their organization’s digitalization process.

Those efforts were both necessary and remarkably successful given the circumstances. But they also prioritized speed over integration. Individual systems were modernized to solve immediate operational challenges, often without fully considering how those systems would be integrated, or the workflows that would need to be automated to create an effective long-term solution.

The result is a patient experience that often appears modern on the surface. However, if it’s not integrated on the back-end, a modern front-end can actually make things worse. A patient may complete registration before an appointment only to answer many of the same questions again at check-in because information does not flow cleanly between systems – none of it is as seamless as it should be.

A survey of more than 1,000 patients found that nearly three-quarters had filled out a duplicate form, and 42% spent six minutes or more recounting their medical history at every appointment because their data wasn’t integrated. Front-office staff feel this frustration too, spending valuable time reconciling records, collecting missing details, and helping patients navigate processes that remain surprisingly manual beneath a digital surface. A separate survey found that 76% of healthcare leaders say their organizations are overwhelmed by administrative workloads, which create backlogs, contribute to burnout, and introduce real operational risk.

The emergence of AI agents presents an opportunity to move beyond simply digitizing existing workflows and begin redesigning them. Rather than asking patients to complete a form that will ultimately go nowhere, an intelligent intake agent could conduct a conversation that adapts in real time, asking follow-up questions when information is incomplete, clarifying ambiguous responses, and collecting relevant clinical information before the visit begins. Instead of replacing staff, these systems have the potential to reduce repetitive administrative work while allowing clinical teams to focus on patient care – an issue of particular importance as the U.S. faces a steep healthcare worker shortage.

Despite the challenges of workforce shortages and administrative burden, healthcare organizations still face expectations to offer a more consumer-friendly patient experience. People have become accustomed to digital interactions in nearly every aspect of their lives, but patient experience remains one of the last major touchpoints, often feeling disconnected from those expectations.

Successfully modernizing the front end of healthcare will require more than adopting AI. Organizations must ensure these systems operate within rigorous governance frameworks that protect patient privacy, comply with HIPAA requirements, and provide transparency into how patient information is collected, processed, and used. Trust will be just as important as technology.

That trust extends well beyond compliance. In a sector like healthcare, accuracy is critical to ensuring proper patient care, a theme that’s even found its way into pop culture. The HBO series The Pitt introduced audiences to the concept of AI scribes in clinical settings. As depicted in the show, these tools are highly accurate, but not infallible. This is important because an inaccurate medical record written by AI can carry serious consequences for both patients and healthcare providers. It’s likely why 70% of surveyed physicians cite accuracy and reliability as their top barriers to AI adoption. Yet, despite that hesitation, nearly all respondents said they’re already using AI in their practice or are actively interested in doing so. With the right implementation, AI has real potential to ease administrative burden and reduce physician workload while improving the patient experience and clinical outcomes.

Perhaps the greatest opportunity lies in accessibility, improving access for the patients who struggle most with today’s intake process. Older adults, patients with limited digital literacy, individuals who speak English as a second language, or someone who simply forgets to mention an important medication because a form never prompted the right follow-up question, all stand to benefit from a more adaptive, conversational experience.

Healthcare’s first wave of digital transformation focused on making patient access digital. The next phase should focus on making it smarter and more integrated, treating the front-end experience as the beginning of the patient journey rather than a separate, disconnected step. Getting that transition right could both reshape the intake process and set a new standard for how the entire care journey begins.

About Thomas Urie

With over 20 years of leadership experience, Thomas Urie has a strong track record in driving growth and operational success across several technology organizations. Today, he serves as President and Chief Operating Officer of FormAssembly, the secure data collection platform built for organizations that manage mission-critical workflows. FormAssembly is trusted by thousands of customers in regulated industries, including healthcare organizations such as CVS Health, Aetna, and UnitedHealth Group. Using FormAssembly, these organizations can collect patient information securely and compliantly, while ensuring accurate, structured data flows seamlessly into EHRs, Salesforce, and other critical systems from the start. To learn more about FormAssembly’s work with healthcare organizations, please visit the FormAssembly website.



< + > Hinge Health to Acquire Cylinder Health | Abridge Welcomes the Altrina Team

Check out today’s featured companies who have recently completed an M&A deal, and be sure to check out the full list of past healthcare IT M&A.


Hinge Health to Acquire Cylinder Health, Expanding into Gastrointestinal Care

The Acquisition Accelerates Hinge Health’s Entry into One of Healthcare’s Largest Underserved Categories, with an Integrated Gastrointestinal Care Program Expected to Launch in 2027

Hinge Health, Inc. today announced that it has signed a definitive agreement to acquire Cylinder Health, Inc., a leader in virtual-first digestive healthcare, for $105 million in cash consideration. With this acquisition, Hinge Health intends to launch an integrated Gastrointestinal (GI) Care Program to complement its existing Musculoskeletal (MSK) and Migraine Care Programs.

GI conditions affect roughly one in four U.S. adults and drive $135 billion in annual medical spend, yet care remains fragmented and difficult to access. Symptoms can be ongoing and disruptive, and 69% of U.S. counties lack a gastroenterologist. As a result, people often cycle through primary and urgent care visits without a clear treatment plan.

“We’re entering GI care because of member and client demand,” said Daniel Perez, Co-Founder and CEO at Hinge Health. “Many people we already serve for back, joint, pelvic, and migraine care also have chronic digestive conditions. After spending time with Terry Boch and the Cylinder team, it’s clear that Cylinder gives us a running start in a category with significant unmet need.”

With nearly 100 clients across two million lives, partnerships with two of the three largest PBMs, and three of the top five health plans by self-insured market share, Cylinder has already treated over 150,000 people with a clinically-validated ROI. The acquisition will…

Full release here, originally announced August 4th, 2026.


Abridge Welcomes the Altrina Team

Bringing Together Exceptional Builders to Shape Healthcare AI

Today, we’re excited to welcome the team behind Altrina to Abridge. This is the latest investment in the people and expertise that will shape our next chapter.

Altrina Co-Founders Mo Nasir and Harvey Hu, along with founding engineer Karthik Prasad, are joining Abridge to help advance the next generation of AI for healthcare. Over the past year, they’ve built deep expertise in browser-based AI agents, healthcare workflow automation, and the challenges of deploying AI reliably in complex, real-world environments.

“Every major advance in AI expands what’s possible, but turning that potential into technology that people trust is ultimately a team sport,” said San Oo, Chief Technology Officer at Abridge. “Healthcare is one of the most demanding environments in which to build AI, and success won’t come from models alone. It will come from teams that combine deep AI expertise with an understanding of clinical workflows, enterprise deployment, security, and the realities of healthcare. That’s what made the Altrina team stand out.”

The Altrina team has spent the past year tackling exactly those kinds of challenges…

Full release here, originally announced July 20th, 2026.



Monday, September 14, 2026

< + > Verily Health Secures New Investment | Inspiren Raises $70M Series C

Check out today’s featured companies who have recently raised a round of funding, and be sure to check out the full list of past healthcare IT fundings.


Verily Health Secures New Investment From NVIDIA and CU Healthcare Innovation Fund

Investment Supports the Next Phase of Verily’s Precision Health AI Strategy

Verily Health Inc. today announced it has received investment support from NVIDIA, as Verily extends its March fundraising. Existing investor CU Healthcare Innovation Fund II, LP is also making an additional investment. Verily’s current investors include Alphabet, Series X Capital, UCHealth, and others.

“We are pleased to welcome NVIDIA as a new investor in Verily. These investments strengthen our ability to pursue the opportunity ahead. Together, these investments and the continued support of our current investors accelerate our vision to build a trusted foundation for healthcare, bringing together the information and intelligence needed to power better decisions and unlock the full potential of AI across the healthcare ecosystem,” said Stephen Gillett, Chairman and CEO at Verily.

The new backing arrives as Verily scales adoption of the Verily Pre Platform, the company’s flagship data and AI platform, which helps healthcare organizations make their data AI-ready and deploy AI responsibly across research and care. It also supports the growth of Verily Me, the company’s patient engagement offering, extending Verily’s capabilities to support individuals throughout their healthcare journey…

Full release here, originally announced September 9th, 2026.


Inspiren Raises $70M Series C to Scale Physical AI for Senior Living

$225 Million Raised to Date at a Valuation Exceeding $500 Million, Funding Technology that Helps Care Teams Act Before Resident Needs Become Emergencies

Inspiren, the leader in AI-powered solutions redefining senior living, today announced it has raised $70 million in Series C funding at a valuation exceeding $500 million. The round was led by NewView Capital, with participation from Insight Partners, Primary Venture Partners, Scale Venture Partners, Vintage Investment Partners, Lightbank, Avenir Growth Capital, Story Ventures, and Camber Creek. This brings Inspiren’s total funding to $225 million, the most capital raised and the highest valuation to date for a technology company built specifically for senior living operators, communities and residents.

The 85-and-older population is the fastest-growing age group in North America, and the residents moving into senior living today are more clinically complex than ever before, putting pressure on an already strained workforce. Adopting technology to care for this population is one of the most consequential investments a senior living operator can make. Most of what happens in a resident’s room happens with no one there to see it. Inspiren acts as a force multiplier for care teams, surfacing what would otherwise go unseen so staff can act on an emergency as it happens, and on the subtle changes that precede one.

“A decade from now, no one will accept that a resident’s needs could go unknown behind a closed door. We are already making that unthinkable in the communities we serve, and this funding puts it within reach for many more,” said Michael Wang, Founder and Chief Clinical Officer at Inspiren.

Physical AI interprets what is happening in a resident’s environment as it unfolds…

Full release here, originally announced September 10th, 2026.



< + > Weave Announces Acquisition by Francisco Partners | Globus Medical Announces Acquisition of Higgs Boson Health

Check out today’s featured companies who have recently completed an M&A deal, and be sure to check out the full list of past healthcare ...