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A recent Kaiser Family Foundation survey found that nearly half of all Americans say they or someone they live with has delayed care since COVID started. The why behind this is two-fold – fear and costs. Deferred care, now more than ever, is something payers need to strategize around and prepare for. Once the floodgates of pandemic-related delayed care open, payers are going to be left to sink or swim. Sheer numbers and overdue treatment aside, they likely will find that this unexpected disruption in care has rendered previously relied-upon techniques and tools of little use in the post-COVID environment.

Are We Really Ready to Bring Employees Back to Work?

  • John Showalter, MD, MSIS

“Work smarter, not harder” was the message of Ford’s marketing for the F150 truck beginning in 2018, when they added several smart features to the vehicle. But working smarter, not harder is a concept that has been around since the 1930s when industrial engineer Allen F. Morgenstern, creator of the Work Simplification Program, coined the phrase. It’s a concept most auto manufacturers have embraced in their assembly line work. Unfortunately, while trying to do the right thing, Ford has not yet figured out how to work smarter, not harder when helping employees safely return to work.

I am excited to share that our collaboration with the Cleveland Clinic to predict and prevent sepsis was featured in the Wall Street Journal Pro Artificial Intelligence section in an article by John McCormick. Sepsis is one of most insidious causes of death today — a new analysis published in the Lancet found that sepsis accounts for one in five deaths globally — and the strides we have made towards predicting sepsis risk and recommending personalized treatments have come a long way towards saving lives.

Every year, as many as 400,000 patients die as a result of preventable harm, making it the third leading cause of death in America. The problem is as costly as it is deadly: preventable harm contributes to $244B in wasteful spending each year. Whether it’s hospital acquired infections, falls, or avoidable readmissions, preventable harm can be prevented — with a new approach leveraging artificial intelligence (AI) to transform your EHR and the clinical data it stores into the most powerful patient harm prevention engine. 

Jvion is proud to have been named the top Predictive Analytics Solution for 2020 by Black Book Market Research in their annual report on top-rated healthcare analytics solutions vendors and consultants. The report is based on client experience and customer satisfaction indicators in strategic project planning for 2020, identifying the highest-rated and top-performing healthcare technology vendors within each client and industry sector of use.

Recently, Jvion had the distinction of being included in AI Time Journal’s list of the Top 25 AI Companies of 2019. The list highlights the contributions of organizations proactively applying artificial intelligence and machine learning to solve complex problems for the benefit of humanity. It has been a momentous year for Jvion, and it is an honor to be recognized for the work we’ve done to prevent harm and lower healthcare costs.  As we look forward to 2020, let’s take a look back at some of our biggest accomplishments from 2019.

Jvion’s AI primed to improve outcomes at every stage of care cycle

The American Hospital Association (AHA) recently released a Market Insight report on AI’s potential impact on care delivery. The prognosis is promising: the report concludes that — with the right infrastructure, vendor partnerships, and buy-in from clinicians and patients — AI can prevent disease, detect important changes in patients’ medical conditions, diagnose patients faster and more accurately, and personalize treatment. In line with the report’s findings, Jvion’s AI is primed to improve outcomes at every stage: prevention, detection, diagnosis, and treatment. 

Strategic Considerations for Adopting Clinical AI

  • John Frownfelter, MD, FACP

It may be late compared to other industries, but Artificial Intelligence (AI) is now moving rapidly into healthcare, representing a new frontier of innovation in patient care. The rate of investment in healthcare AI is increasing by roughly 40% annually, with an estimated $6.6 billion to be spent on AI by 2021[1]. Besides the logarithmic increase in investment, AI is now mature enough for healthcare that it is demonstrating value. Many uses are now evident, from cybersecurity to managing the supply chain to clinical use cases, and the deployment of AI is already reaping results.

Dr. Karin Molander MD, FACEP, is the chair-elect of the Sepsis Alliance Board of Directors and serves as an emergency medicine physician providing emergency care to patients in the community setting. She served as chair of the Mills Peninsula Medical Center (MPMC) Sepsis Committee from 2011- 2015, where she led an initiative that reduced sepsis mortality by 69%. She also previously served as a Sepsis Physician Champion for Sutter Health Services. In the wake of Sepsis Awareness Month, Jvion spoke with Dr. Molander to discuss the current state of sepsis in American hospitals and the role of technology in combating it.  

A recent OptumIQ report found that the number of healthcare leaders implementing an artificial intelligence (AI) strategy in their organization had risen by 88 percent in the last year, to a total of 62 percent. What’s more, nine in 10 leaders are confident they will see a return on their AI investment sooner than previously expected. While AI will never be a replacement for a practitioner, these tools are gaining traction in hospitals for their ability to augment human intelligence. These “Narrow AI” techniques address very specific applications — think language translation, image recognition, and data analysis — to ease our human cognitive load and improve outcomes.