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Population Health Management
 

Pre-packaged IT solutions that provide analytics and care management functions for analyzing, understanding, and proactively managing patient populations.

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Benjamin Cassity
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Population Health Management 2024: Sample of Decisions Made by Large Acute Care Organizations Center on a Few Broad Platforms) Report Cover Image
Decision Insights
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Population Health Management 2024: Sample of Decisions Made by Large Acute Care Organizations Center on a Few Broad Platforms
01 October 24
In recent years, purchasing energy in the population health management (PHM) market has cooled among large acute care organizations—only 10% of interviewed organizations report a recent or in-progress PHM purchase decision. This trend is largely the result of healthcare organizations deprioritizing initial investments in new solutions and instead focusing on cost reduction and improved ROI through vendor consolidation, better data access and utilization, and improved functionality that supports value-based initiatives (i.e., care management, whole-person care, downside risk contracts). Physician-led ACOs don’t always face the same challenges as large acute care organizations (the majority of the sample included in this data set), so they may make decisions differently. With fewer decisions being made for acute care organizations, there is greater pressure on vendors to more thoroughly prove their platform’s capabilities during the RFP process. To help healthcare organizations navigate purchasing decisions in this market, this report draws from 40 purchase decisions validated by KLAS between July 2022 and June 2024 to examine (1) which vendors’ customer bases are growing, being maintained, or decreasing amid market shifts and (2) which factors contribute to current buying energy. Satisfaction data from current customers is also included.

Report Abstract

Key Findings:

  1. Market Energy Mostly Focused on Arcadia, Innovaccer & Lightbeam for Broad Functionality That Supports Value-Based Initiatives; Epic Considered for Consolidation
  2. Due to Lack of Optimization, Lightbeam, Arcadia, Oracle Health & HealthEC* Most Often Up for Replacement
  3. Looking Forward, Customers of Oracle Health, Health Catalyst & NextGen Healthcare* Need Improved Innovation

*Limited data



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Performance Data

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Points of Light 2023 Case Study 11
14 April 23    |   Aurene Wilford and Boyd Stewart
Hoping to provide improved care management for individuals with high-risk chronic conditions, the collaborators in this case study launched a program aimed at providing deviceless remote patient monitoring for recently discharged individuals with hypertension, COPD, or congestive heart failure. If patient-entered data is outside the normal thresholds, virtual care navigators receive real-time alerts and can intervene to prevent the patient’s condition from deteriorating. Outcomes include reduced ED visits and readmissions as well as lower costs.



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Unlike sizing filters, reducing filters DO NOT recalculate scores based on the evaluations that meet these requirements. They narrow the list of solutions to show the vendors and solutions that can meet a specific need.

This data is based on interviews with a sample of the firms' recent clients. As a result, it is not necessarily comprehensive of all work a firm may do in this segment.

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