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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.

The volume of medical data for physicians to sort through is growing at an exponential rate and is projected to double every 73 days by 2020. Among healthcare executives, consensus is emerging that AI and other analytic tools will be essential to transform this expanding mountain of data into actionable insights that improve quality metrics and patient care. At the Center for Cancer and Blood Disorders (CCBD) in Fort Worth Texas, clinicians have turned to the Jvion Machine to harness CCBD’s vast clinical data to power improved oncology care while reducing costs under the Oncology Care Model (OCM).

Electronic health record (EHR) vendors consistently overrepresent their products as a one stop shop for clinicians with everything needed to manage patient care, but this is simply not true. These vendors claim that the risk scores generated by EHRs are all hospitals need for identifying patients requiring clinical intervention before medical conditions develop. Have you been hearing that from your EHR rep?

Hospitals leading the charge to change the way sepsis is diagnosed and treated are increasingly turning to artificial intelligence (AI) and powerful data analytics. AI-enabled analytics can help practitioners identify patients most likely to develop a deadly infection and take action often before symptoms are even present. This is exactly what’s happening at leading facilities like Southeast Health in Alabama and Sentara Healthcare in Virginia and North Carolina, where clinicians are harnessing the AI-enabled Jvion Machine to drive the primary prevention of sepsis and inhibit the progression of the condition.

In the hospital of the future, technology is helping empower caregivers, enable more personalized care, and optimize operational performance. Artificial Intelligence (AI) is and will continue to enhance the doctor-patient interaction by allowing physicians to focus on the patient rather than technology. In this augmented landscape, providers are pointed to the right patients at the right time and empowered with the information they need to drive to the best possible outcome. Beyond AI, technology will help ingest, manage, and store data to drive innovation. It’s the ability to bring all these data sources together to understand patient health that serves as the platform for true healthcare innovation and continued AI advancement. Watch this two-minute video for more information on Jvion's role in transforming healthcare.