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Artificial intelligence solutions—and certainly, the promotion of such solutions—were everywhere this year at the RSNA Conference, held this week at Chicago’s vast McCormick Place, where nearly 49,000 attendees attended clinical education sessions, viewed nearly 700 vendor exhibits. And AI and machine learning promotions, and discussions were everywhere.
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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.


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Our goal now is to invest in the platform and to grow networks. Building network effect-enabled platforms is capital intensive because you need to reach critical density in a given geography to create value for the constituents there. We’ve done a pretty good job of that. We’re live in 17 states, not just with one or two hospitals, but penetrated broadly to 100 percent of acute hospitals. We’ve got a bunch more in the hopper.
“We had a guillotine over our head,” says Stephen Anderson, an emergency medicine doctor at MultiCare Auburn Medical Center, which operates eight hospitals in and around Tacoma and Spokane, Washington. Hospitals pleaded for their own solution. “[We said] instead of blocking access, let us coordinate care of high utilizers.” The governor gave them three months.
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Collective Medical will use the funding to expand and advance its network with the goal of empowering care teams across the country to provide patients with the most effective care. As a part of this effort, Collective Medical plans to expand its leadership team and scale its engineering, clinical support, sales and marketing organizations. The company anticipates hiring more than 100 additional team members in the next 12 – 18 months, with the majority based in its Salt Lake City headquarters.
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Similar results have been experienced across the country. “Collective Medical has been an integral part of our hospital system’s efforts to coordinate care for patients with complex needs,” says Dr. Maria Raven, MPH, MSc, a practicing emergency medicine physician and health services researcher and an associate professor of emergency medicine at UCSF. “With our partnership, we’re collaborating on our at-risk patients’ social determinants as well as curbing the opioid epidemic.”
Since they are derived from cannabis plants classified as hemp, all of the products you’ll find on Eaze Wellness are legal to purchase and ship. So don’t be intimidated by the confusing patchwork of marijuana laws that vary from state to state. Because of Eaze’s deep understanding of the cannabis industry, you can rest assured you’re getting a quality product at a fair price, and also that you’re doing everything by the book.
Collective Medical improves outcomes and lowers costs on an impressive scale. In a Brookings Institution review of Medicaid patients who visited emergency rooms in Washington State, Collective Medical’s network and EDIE application—allowing actionable, real-time coordination across organizations—was one of the core strategies for lowering the number of ED visits by patients with patterns of high ED utilization. By partnering with Collective Medical to focus on these patients, Washington State reported $34 million in savings in emergency costs and a decline of 9.9 percent in emergency department visits in its first year of use in 2013.
Health information exchange has made tremendous advancements, particularly in the last several years, in linking communities together to unify a care record. There’s a lot more work still to be done, but they’re making great strides. You have the networks like CommonWell and Carequality that are doing that with CCDs and certainly have ambitions to do more. You have platforms like Epic Care Everywhere that are, in some regards, even more advanced in how they link data from Point A to Point B and unify that into a single patient record.
Salt Lake City, Utah-based patient management platform maker Collective Medical Technologies announced today that it has raised $47.5 million in a series A funding round led by investment firm Kleiner Perkins. Other participants in the round include Bessemer Venture Partners, Maverick Ventures, Kaiser Permanente Ventures, Providence Ventures, Peterson Ventures, and Epic Ventures.

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After being fed data of past pneumonia treatments, the software automatically created cohorts of patients who had similar outcomes accompanied by the treatments they received at particular times and in what sequence. The program also calculated the direct variable costs, average lengths of stay, readmission and mortality rates for each of those cohorts, along with the statistical significance of its conclusions. Each group had different comorbidities, such as diabetes, COPD and heart failure, which was factored into the application's calculations. At the push of a button, the application created a care path based on the treatment given to the patients in each cohort.

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“We’re putting collaboration at the heart of the solution to a fragmented healthcare system,” says Chris Klomp, CEO of Collective Medical. “Our job is to connect care teams. By arming providers and payers with real-time insights and a platform to seamlessly collaborate across organizations and care settings, we ensure patients don’t slip through the cracks.” Klomp adds that, “we are beyond excited and grateful to be joined by such an extraordinary group of investors who share our vision for further enriching and expanding our network to help care teams provide the most effective care possible.”


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.
A recent evaluation of Collective Medical’s impact throughout the state of Oregon, conducted by the Oregon Health Leadership Council, found a promising downward trend in ED visits by patients with history of high ED utilization during a three-year period. As a participant in this evaluation, Kaiser Permanente Northwest initially used Collective Medical’s EDIE application to identify and collaborate on care plans for a group of approximately 363 patients with complex clinical and social challenges who visited the ED more than six times in six months. Over the three years of this program Kaiser has seen a 42 percent reduction in ED visits and a 47 percent reduction in inpatient admissions for those individuals enrolled in this program.
From 2010 to 2016, the # of recorded neonatal abstinence syndrome (NAS) cases increased by nearly 200% in Kentucky. Our partnership with the Kentucky Hospital Association will enable physicians to identify and treat NAS cases before they escalate. http://www.modernhealthcare.com/article/20181015/NEWS/181019931/ky-initiative-looks-to-curb-rise-of-babies-in-opioid-withdrawal …pic.twitter.com/Uf2HlEexnu
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Meanwhile, Dr. Whitfill said, “At the same time, people are realizing that coming up with the algorithm is one piece, but that there are surprising complications. So you develop an algorithm on Siemens equipment, but when you to Fuji, the algorithm fails—it no longer reliably identifies pathology, because it turns out you have to train the algorithm not just on examples form just one manufacturer, but form lots of manufacturers. We continue to find that these algorithms are not as consistent as identifying yourself on Facebook, for example. It’s turning out that radiology is way more complex. We take images on lots of different machines. So huge strides are being made,” he said. “But it’s very clear that human and machine learning together will create the breakthroughs. We talk about physician burnout, and even physicians leaving. I think that machine learning offers a good chance of removing a lot of the drudgery in healthcare. If we can automate some processes, then it will free up our time for quality judgment, and also to spend time talking to patients, not just staring at the screen.”
The survey from one year ago found that across hospitals, 40 percent of CIO respondents said deploying an enterprise analytics platform is a top priority in 2018. Seventy-one percent of respondents cited integrating with the EHR is a top priority, and 62 percent said physician adoption and buy-in for securing messaging was a top priority in the next 18 months. What’s more, 38 percent said optimizing EHR integration with other hospital systems with a key focus for 2018.
“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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