The optimal events, sequence, and timing of care were presented to the physician team using an intuitive interface that allowed them to understand exactly why each step, and the timing of the action, was recommended. Upon approval, the team operationalized the new care path by revising the emergency-department and inpatient order sets in the hospital EHR.
Klomp, who helped out with strategy while working in private equity at Bain Capital in Boston, quit in 2014 to join Collective Medical. And last year, Benjamin Zaniello, who was a chief medical information officer at Providence Health & Services in Washington, joined as chief medical officer. Zaniello helped implement Collective Medical at Providence. He was impressed. “They did this alone for many years,” he says. “It wasn’t just a bunch of people with a power point and a dream, or someone from Google with a personal story in healthcare who wants to fix the system.”
On November 15, representatives from the New Mexico Hospital Association, UnitedHealth Group, Molina Healthcare, Blue Cross Blue Shield and Presbyterian Healthcare Services gathered at the offices of the state’s hospital association in Albuquerque. Providers and payers weren’t meeting to negotiate contentious contracts, but to discuss monthly progress on a piece of software New Mexico hospitals had started implementing in their emergency department in June. It allowed them to flag patients who make five trips annually to multiple emergency rooms, often opioid addicts, notify their primary care doctor or a case manager and coordinate a care plan.
CHCF is investing in Collective Medical to help providers serving Medicaid patients with complex needs to better share and act on data about those patients in real time. Successfully coordinating a patient’s care, especially if it is complex and involves numerous providers both inside and outside of the health care system, requires effective data sharing. When providers fail to share data, a patient’s care can fall through the cracks or be needlessly duplicated, both of which can result in higher costs and poorer outcomes.
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Klomp, who helped out with strategy while working in private equity at Bain Capital in Boston, quit in 2014 to join Collective Medical. And last year, Benjamin Zaniello, who was a chief medical information officer at Providence Health & Services in Washington, joined as chief medical officer. Zaniello helped implement Collective Medical at Providence. He was impressed. “They did this alone for many years,” he says. “It wasn’t just a bunch of people with a power point and a dream, or someone from Google with a personal story in healthcare who wants to fix the system.”
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Each year, to accompany our Healthcare Informatics 100 list of the largest companies in U.S. health information technology, we profile fast-growing companies that could very well make the list in the future. Below are write-ups of the third and fourth companies that made this year’s Up-and-Comers rendition. The remaining two write-ups will be published later this week.
With the shift in federal policy, some investors are skirting the cannabis industry by either choosing to wait out the storm or by leaving it altogether for fear of increased marijuana prosecutions. However, members of Congress – both Democrats and Republicans – are pushing back with the claim that the turnover not only violates states’ rights but it is also destructive and backward.
There continues to be growing interest, and also some hype, around AI tools, but Sanders notes that AI and machine learning are simply another tool. “Historically, what we’ve done is that we had an idea of what we wanted to do, conducted a clinical trial and then proved or disproved the hypothesis, based on the data that we collected. We have a tool with AI which can basically show us relationships that we didn’t know even existed and answer questions that we didn’t know to ask. I think it’s going to open up a tremendous pathway in medicine for us to both reduce cost, improve care and really take better care of our patients,” he says, adding, “When you can say that to physicians, they are on board. They respond to the data.”
Still, Marion noted, even the concept of AI, as applied to imaging informatics, remains an area with some areas lacking in clarity. “The reality, he said, “is that I think it means different things to different people. The difference between last year and this year is that some things are coming to fruition; it’s more real. And so some vendors are offering viable solutions. The message I’m hearing from vendors this year is, I have this platform, and if a third party wants to develop an application or I develop an application, or even an academic institution develops a solution, I can run it on my platform. They’re trying to become as vendor-agnostic as possible.”
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Our objective is to connect healthcare at scale. Virginia is a perfect example. You have 130-some hospitals and health systems, hundreds of post-acute operators, and thousands of ambulatory providers across the state, along with Medicaid, Medicare, and commercial health plans. The state’s objective was not only to reach a level of interoperability in terms of data sharing, but even more so, to reach a level of collaboration to manage down medically unnecessary utilization, avoidable friction, or risk.
Baumgartner’s relationship with cannabis started in her teens, around the same time she was diagnosed with anxiety. Refusing to take pills to deal with her nerves, she took on a move natural approach that included surfing and smoking weed. “My Italian-Catholic mother was horrified,” Baumgartner joked, but clearly her system worked. Now, at age 49, she’s staying ahead of her anxiety in a similar way, with smoking, surfing, meditation and eating right, she’s able to live a successful and productive life.
“We’ve been able to do a lot of querying ourselves, and we have some sepsis predictive models that we’ve created and put into place. We do a lot of real-time monitoring for sepsis and central line-associated bloodstream infections,” he says. “Central line-associated bloodstream infections are a bane for all hospitals. In the past year and a half, since we’ve put in our predictive model, we’ve had zero bloodstream infections, and that’s just unheard of.”
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