HDM CLASSroom: The Patient, Provider, and Payer Conundrum – EPISODE 3

Featuring Banner Health, CenterX, and KLAS Research.

Feb 28 234 min read

Part of HDM CLASSroom: The Patient, Provider, and Payer Conundrum

SESSION 1: Reducing the friction between payers, providers, and patients. Current state and hard facts.

To truly reduce the friction between payers, providers and patients, how do we get there? What is the current state, and what levers can we as industry leaders pull? Join Health Data Management, KLAS Research, and Banner Health as they consider research, and share expertise understanding the current state of friction that exists, and what principles can be applied, and levers pulled to start to reduce the burden and friction between payers, providers and patients.

ON DEMAND RECORDING

Session Slides

Subject Matter Experts

SESSION 2: Reducing prior auth friction through real time prescription and electronic prior authorization. An implementers guide.

The definition of friction between payers and providers can be summed up as the amount of administrative burden that exists as the two interact. No more so than regarding prior authorization. Join Health Data Management and CenterX, an organization who is trying to reduce administrative burden through real-time prescription benefits (RTPB) and electronic prior authorization (ePA), as they walk through two case studies from pioneering institutions on best implementation practices and lessons learned.

ON DEMAND RECORDING

Session Slides

Subject Matter Experts

Supporting Content

Reducing the prior authorization burden on providers and PBMs: A performance comparison of ePA vendors

A large PBM recently compared the CenterX ePA solution to those of three other ePA vendors to see how well these solutions helped to process PA requests. The PBM measured how often PA requests were cancelled for each vendor — and how often those cancellations were caused by abandonment — as well as how often each ePA vendor successfully processed PA requests.

Download the article to find out how well CenterX is maximizing the efficiency of ePA for health systems and PBMs.

Un derstand the impact of your real-time prescription benefit technology: New reporting delivers patient cost savings insights

New reporting on the potential patient savings when Real-Time Prescription Benefit (RTPB) technology is used is now also available when you partner with CenterX. The report highlights the total potential savings for your health system’s patients based on providers selecting lower-cost alternatives, helping to:

• Unlock greater value from your RTPB network
• Drive improvements in patient medication cost savings and accessibility
• Support broader initiatives to reduce the overall cost of care

Download the article to find out how your health system can better understand and improve the impact of RTPB.

Eliminating data gaps in Spectrum Health’s prescription decision support: From a single-vendor to a multi-vendor prescription decision support network

When Spectrum Health wanted to provide accurate patient prescription benefit information at the point of care, it implemented a real-time prescription benefit (RTPB) network within its electronic health records (EHR) system.

However, when Spectrum Health implemented one vendor for RTPB, the health system quickly ran into issues that prevented its providers from consistently accessing prescription benefit information.

Download the case study to learn how partnering with CenterX and adding a second prescription decision support network helped Spectrum Health address gaps in its pharmacy benefit data.

Real-time prescription benefit and electronic prior authorization: Prescription decision support with real-time, patient-specific information

Despite the widespread use of population health as a solution to control rising costs and poor outcomes, healthcare organizations struggle to effectively achieve population health success. A common barrier to success is lack of access to data about a system’s most impactable patients, their interventions, and how said interventions impact a patient’s health. However, health systems can overcome the following all-too-common population health mistakes by leveraging detailed data about their most impactable patients and interventions.

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