HIMSSCast

Get insights from patients’ histories and clinical decision support

Kalderos focuses on drug programs to make sure they’re in compliance with the laws that created them or the contracts signed to negotiate those discounts, says President Micah Litow.

And, don't miss the HIMSS AI in Healthcare forum coming up December 14 and 15. Taking place in San Diego, this is a must-attend event will cover everything you need to know about the adaptation of AI into your healthcare system. Learn more and register at https://www.himss.org/event-ai-healthcare-forum. Sign up today and use promo code HIMSSPOD23 and save 25% off your registration!

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The ability to give clinicians and care teams the right tools - integrated into their workflows and evidence-based - has a direct correlation not just with improved quality and outcomes, but better patient experience. These care tools can result in large amounts of data although much of it is retrospective. To truly optimize clinical decision-making, healthcare organizations need insights across a patient population. By leveraging these aggregated real-time insights during the patient care journey, providers can make more informed decisions that lead to better patient outcomes.

 In this podcast, we'll speak with clinical informatics leaders and patient engagement experts about how data analytics and technology can be used to enhance clinical decision-making, optimize care delivery, and improve patient experience across the healthcare organization. We will discuss the next steps in CDS analytics and how to ensure that the medical information delivered through these technologies is accurate and reliable.

Explaining the bill, offering payment flexibility and finding financial assistance is critical, says Seth Cohen, president of Cedar.

DeLorean AI’s CEO & Founder, Severence MacLaughlin speaks about how AI can offer real-time support for improved patient health, enhanced value-based care, and decreased care costs and the challenges of AI adoption and overcoming barriers.

Deploying AI to handle authorization decisions can improve patient experience.

Learn how healthcare organizations are elevating staff experiences.

Rich Amelio, vice president of healthcare IT operations and consulting at consulting firm e4health, talks what’s needed during big EHR and other system changes to protect cashflow, improve data integrity in new systems, and drive better system adoption and satisfaction.

The Emergency Department is perhaps the singular environment in a hospital where the greatest concentration of decisions are made with the least amount of clinical data; and the acuity-level assigned at triage can massively impact the trajectory of care for a
patient. Additionally, Emergency Departments in the United States have experienced
unprecedented levels of crowding over the last two decades, with correlation to worsened patient outcomes, preventable errors, and staff burnout.

In 2017, the ED at Johns Hopkins deployed a CDS tool that leverages AI to generate
risk-driven triage acuity recommendations, instead of relying on resource-based ESI. The tool has provided more reliable detection of patients with critical illness and reduced the time patients wait for care. They’ve also seen marked decrease in those assigned to the mid-acuity level 3, and instead more utilization of the low-acuity levels 4 and 5, which lends to better fast-track throughput for those patients who are to be discharged.

Jeremiah Hinson, MD PhD, will speak of his experience developing and utilizing the tool
with his team at Johns Hopkins.