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2019 Healthcare Provider Analytics Market Trends Report

  • Report

  • 72 Pages
  • March 2019
  • Region: Global
  • Chilmark Research
  • ID: 4844857

The extensive research for this report uncovered a market wherein today’s leading analytics applications are beginning to address broader needs than just VBC. This is causing greater separation in the relative capabilities of vendor solutions in the market today, with some vendors still primarily focused on VBC and care management needs, while others move to address EPM.

Analytics Across the Continuum

This comprehensive report provides an overview of the market for provider enterprise analytics and evaluates offerings from 23 vendors. It finds that vendor offerings mirror EHR penetration. Providers in acute and ambulatory settings have many choices for analytics across multiple use cases. Providers in post-acute settings and others with low-EHR penetration have relatively fewer choices.

Traditional and Advanced Analytics

This report characterizes current analytic solutions as either “mainstream” or “advanced.” Most HCOs have experience with mainstream analytics – applications that characterize and summarize current performance. While the underlying technology and general approach is well-established, mainstream analytics has yet to supply a robust predictive insight and prescriptive guidance; for that, HCOs are looking at advanced analytics.

Advanced analytics consists of interrelated technologies, the most common of which are artificial intelligence/machine learning, natural language processing (NLP) and extraction, and big data technologies. These technologies and techniques, while not widely deployed in healthcare, are all used to varying degrees by most of the vendors profiled in this report. The expectation is that as these technologies mature, advanced analytics will offer more accurate predictive and prescriptive capabilities.
Moving Applications from Descriptive to Prescriptive

Vendors were compared on a specific set of consistent product capabilities and market execution metrics. To provide a detailed basis for comparing the offerings of different vendors, we broke down analytics functionality into the following categories:

Clinical and Claims Data Contribution, Other Data Contribution, Analyst and Developer Support, Scope of Applications, Benchmarks, Care Management, Clinical Quality, Cohort Discovery, Registries, Healthcare Costs, Risk, Network Analytics, Predictions, Utilization, Operations, User Support, Self-service Analytics, and Application Design

The analyst defined the following categories as appropriate metrics to compare vendors on market execution:

Market Vision, Extensibility and Engagement, Complimentary Services, Market Momentum.

Table of Contents

Chapter 1: Executive Summary
  • Key Takeaways

Chapter 2: Provider Analytics Technologies and Markets
  • Analytics Across the Provider Enterprise
  • Putting Reports into Practice
  • Healthcare Analytics Technology Review
  • Mainstream Analytics
  • Electronic Health Records and Claims Data
  • Other Data Sources for Analytics
  • Moving Applications from Descriptive to Prescriptive
  • Advanced Analytics
  • AI and ML
  • Data Science
  • Big Data
  • Challenges for Advanced Analytics
  • Healthcare Provider Use Cases
  • Hospital Use Cases
  • Non-hospital Use Cases
  • Vendor Types
  • EHR Vendors
  • Independent Vendors
  • Claims Analytics Vendors
  • Analytics Maturity

Chapter 3: Vendor Evaluations and Profiles
  • Chilmark Bearing - Provider Analytics
  • Vendor Letter Grades
  • Detailed Vendor Ratings
  • Product Capabilities Ratings
  • Vendor Product Capabilities
  • Market Execution Ratings
  • Vendor Market Execution Ratings
  • Vendor Profiles
  • Inclusion Criteria

Chapter 4: Vendor Profiles
  • Allscripts
  • Arcadia.io
  • athenahealth
  • CareEvolution
  • Cerner Corporation
  • Change Healthcare
  • eClinicalWorks
  • Epic Systems Corporation
  • forward Health Group
  • Health Catalyst
  • HealthEC
  • IBM Watson Health
  • Innovaccer
  • Lightbeam Health Solutions
  • MedeAnalytics
  • Medecision
  • Medical Information Technology, Inc.
  • NextGen Healthcare
  • Optum
  • Philips Wellcentive
  • SCIO Health Analytics
  • SpectraMedix
  • SPH Analytics

About The Authors
Brian Murphy
Matthew Guldin
Appendix A: Scope And MethodologyAppendix B: Acronyms UsedTables and Figures
Chapter 1: Executive Summary
Figure 1.1: Provider Analytics Vendors and Vendor Types
Chapter 2: Provider Analytics Technologies And Markets
Table 2.1: Other Data Sources for Analytics
Figure 2.1: Example Use Cases of Mainstream and Advanced Analytics
Table 2.3: Healthcare Provider Analytics Venue Characteristics
Figure 2.2: Hospital Analytics Use Cases Heat Map
Figure 2.3: Non-hospital  Analytics Use Cases Heat Map
Figure 2.4: Vendor Types and Vendors Profiled
Table 2.4: EHR Vendors Profiled
Table 2.5: Independent Vendors Profiled
Table 2.6: Claims Analytics Vendors Profiled
Figure 2.5: Relative Maturity of Vendor functionality by Venue
Chapter 3: Vendor Evaluations And Profiles
Figure 3.1: Chilmark Bearing - Provider Analytics
Table 3.1: Vendor Letter Grades
Table 3.2: Product Capabilities Harvey Ball Key
Table 3.3: Product Capabilities Rating
Table 3.4: Market Execution Harvey Ball Key
Table 3.5: Market Execution Ratings



Companies Mentioned

  • Allscripts
  • Arcadia.io
  • athenahealth
  • CareEvolution
  • Cerner
  • Change Healthcare
  • eClinicalWorks
  • Epic
  • Forward Health Group
  • Health Catalyst
  • HealthEC
  • IBM Watson Health
  • Innovaccer
  • Lightbeam
  • MedeAnalytics
  • Medecision
  • NextGen
  • Optum
  • Philips
  • SCIO Health Analytics
  • SpectraMedix
  • SPH Analytics