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“Event notification systems (ENS) and care coordination applications have historically struggled to provide actionable information to providers at the point-of-care,” says Noah Knauf, partner at Kleiner Perkins. “Collective Medical is the first technology we’ve seen that allows the providers and payers in a local healthcare system to efficiently collaborate, delivering significantly better outcomes through risk analytics, real-time notifications, and shared care planning tools. Supporting this team is a rare opportunity to be a part of something that is meaningfully changing the way care is delivered in this country.”

Despite the fact that marijuana is illegal under federal law, ten states, as well as the District of Columbia, have legalized its recreational use. And while several other states have passed laws that broadly decriminalize pot, legal marijuana use is still nearly impossible for over one-third of the country. This confusing patchwork of laws helps explain the recent popularity of Cannabidiol (CBD) oil and other related products, which are, for the most part, legal to obtain and use throughout the U.S.

Spok researchers were curious whether their predictions became reality, so they analyzed several industry reports and asked a handful of CIOs to recap their experiences from 2018. The most up-to-date responses revealed that compared to last year when just 40 percent of CIOs said they were deploying an enterprise analytics platform in 2018, harnessing data analytics looks to be a huge priority in 2019: 100 percent of the CIOs reported this as top of mind.
So much remains ambiguous about the regulated future of legalized pot in California, even more so in the Central Valley. As some cities are still waiting to make their final decision, others have banned it outright, and Fresno is soon to embark on the unique challenge of writing new policies for medical marijuana businesses, from growing all the way to sales – but one thing is clear, and that it is going to make for a busy yet very interesting 2018.

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awesome job guy’s – i ordered for the first time a few weeks ago – and decide to make another order on dec 21st very early in the morning – so that i would have something rolling along for after the xmas weekend and i have no idea how busy they are ,i can only imagine especially this time of year , but they had my package processed and in the mail complete with tracking confirming CP has it -that day – i mean i’m not without so if it arrives after xmas – so be it – GE has gone above and beyond to serve their customers and its CP’s hands now -you cant ask for more than that . Merry xmas to all at GE ,looking forward to ordering in the new year
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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.”

Interoperability is the base layer. Then, how do we use data to coordinate human behavior? We make it easier for them by meeting them in their workflow, not making them go look up information. They can understand which of their patients are at a place of need and coordinate with others who can help meet the needs of that individual, to lift them up and catch them before they fall.


Baran says that although automation of repetitive tasks is the ultimate goal, the first step in automation is delegation. “That means shifting the work from physician to staff and using technology to make that process as easy as possible. For the physicians it looks like automation because you are taking this work off their plates, and we use technology to make the process as easy as possible for the staff.”

We realized that while bootstrapping a company gives you tremendous autonomy to do the right thing, it’s a rate limiter to growth. Building a network effects-enabled platform hasn’t been previously done at scale in healthcare. We raised capital to accelerate our growth across the country, to deepen our technical capability with significant R&D dollars, and to gain partners who can help us think through these things since this is our first rodeo.


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.”
With the success of the pneumonia care pathway, Flagler Hospital leaders also deployed a new sepsis pathway. The hospital has expanded its plans for using Ayasdi to develop new care pathways, from the original plan of tackling 12 conditions over three years, to now tackling one condition per month. Future plans are to tackle heart failure, total hip replacement, chronic obstructive pulmonary disease (COPD), coronary artery bypass grafting (CABG), hysterectomy and diabetes, among other conditions. Flagler Hospital expects to save at least $20 million from this program in the next three years, according to officials.
“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.
Let’s say we have a low-income, low-acuity pediatric asthmatic patient who’s bouncing around emergency departments. Nobody’s looking to increase their volume by having that patient coming to their hospital. The health plan, the Medicaid ACO or MCO, and the pediatrician, pediatric pulmonologist, or emergency department physician all have a perfectly aligned set of incentives to get that patient into the most appropriate care channel, stabilize them, and help them lead a healthy life. What level of interoperability and coordination is required to restore that child to a point of health?

Of course, inevitably, there was talk around the talk of the hype cycle involving artificial intelligence. One of those engaging in that discussion was Paul Chang, M.D.., a practicing radiologist and medical director of enterprise imaging at the University of Chicago. Dr. Chang gave a presentation on Tuesday about AI. According a report by Michael Walter in Radiology Business, Dr. Chang said, “AI is not new or spooky. It’s been around for decades. So why the hype?” He described computer-aided detection (CAD) as a form of artificial intelligence, one that radiologists have been making use of for years.
One of our moms, Patti, is a social worker in the emergency department. She had been working on complex patient care coordination, particularly for patients who move across emergency departments. She had hypothesized that not only was this happening, but that a subset of those patients was probably opioid-seeking. Nobody talked about that 15 or 20 years ago, so she was pretty prescient on the ground.
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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Collective Medical is a Salt Lake City-based developer of collaboration software. I started working on the company with two of my best friends from Boise, Idaho. We grew up together and we all went to Brigham Young University together. Two of us studied computer science and I was the token business guy. I went off to Bain & Company and then Bain Capital for roughly a decade.

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.


In terms of strains they usually have... don't quote me but I remember seeing Skywalker OG, Liquid Coke and Charlie Sheen. I've bought King Louis XIII here, Master OG, Purple Widow, Mega Wellness, Bubble Yum, Velvet Purps, etc. They also have Korova Edibles, weed Hot Cheetos, LOL edibles brownies, weed sour belts, weed lemonade, weed syrup, weed chocolate and Cali Fresh Knockout Punches. Obviously didn't list all of it but that's just off the top of my head.
Collective Medical currently has relationships with each US national health plan and hundreds of hospitals and health systems, according to a statement. There are 13 states currently on Collective's network, with plans to add another 10 states scheduled for 2018. In August, the company was featured for the first time on Inc. Magazine’s Inc 5,000 list of fastest growing companies in America, with $5.8 million in 2016 revenue and 561 percent growth over the last three years.
Her personal involvement doesn’t stop there. She often hand delivers the medicine and even works with a hospice center providing relief. “I worked with a woman, my age, who was dying of cancer. Her brother would call me and I would come over with a big bag of prerolled joints. We would smoke together, holding hands, me on the floor, and her laying on the couch.”
“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.”

“In 2013, President Barack Obama’s attorney general advised prosecutors not to waste money targeting pot growers and sellers that were abiding by state laws but to go after flagrant violations such as trafficking across state lines or selling to minors. Under this policy, several states legalized recreational pot, growers and sellers had begun to drop their guard over fears of a federal crackdown and the business blossomed into a sophisticated, multimillion-dollar industry feeding state government programs with tax dollars.”

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