Healthcare Analytics Maturity Survey: 76 Percent of Organizations Lack Basic Analytics Required for Meaningful Use Measures

White paper details “Healthcare Analytics Adoption Model” developed by industry experts to provide a road map for the use of analytics to improve quality and lower costs

Salt Lake City, UT – February 24, 2014 – Most experts agree that value-based healthcare will require physicians and hospitals to use sophisticated analytics that can comb through terabytes of clinical data to reveal opportunities for improving quality and efficiency.

But according to a new survey of healthcare IT professionals, very few organizations have achieved the level of analytics adoption required.

Six out of 10 respondents to a survey by Health Catalyst rated their own organizations’ maturity in analytics adoption at between 0 and 2 on a scale of nine. At that level, the organizations’ analytics would fail to meet the requirements of federal “meaningful use” regulations and emerging value-based reimbursement models. Only 2.6 percent of survey respondents rated their organization as having achieved one of the top two levels of analytics adoption.

Respondents had an even lower opinion of the analytics maturity of the healthcare industry as a whole. Seventy-six percent rated the industry’s adoption of analytics as falling in one of the three lowest levels of the maturity model. Only 3 percent of respondents felt the industry had achieved Level 5 or higher on the analytics adoption maturity scale.

Survey results reflect the opinions of 305 healthcare professionals who participated in Health Catalyst webinars between October 2013 and February 2014. Participants were asked to rate the progress of their own organization and the industry as a whole in achieving nine levels of analytics maturity detailed in a new Healthcare Analytics Adoption Model. The model was developed by Health Catalyst, academic leaders, and other industry experts to serve as a road map for healthcare’s adoption of analytics technology.

A new white paper details the Healthcare Analytics Adoption Model, which borrows lessons learned from the HIMSS Analytics EMR Adoption Model, and describes an analogous approach for assessing the adoption of analytics in healthcare.

“The quality and cost savings promised by the first wave of healthcare information technology has eluded many organizations so far,” said Dale Sanders, Senior Vice President of Strategy for Health Catalyst and one of the authors of the Healthcare Analytics Adoption Model.  “The next wave of technology – data analytics – promises to enable large numbers of healthcare organizations to at last realize a significant return on their IT investments. We developed the Healthcare Analytics Adoption Model to help healthcare organizations move progressively from basic operational reporting to personalized medicine.”

The Healthcare Analytics Adoption Model provides:

  • A framework for evaluating the industry’s adoption of analytics
  • A roadmap for organizations to measure their own progress toward analytic adoption
  • A framework for evaluating vendor products

The nine levels of the Healthcare Analytics Adoption Model are:

Level 8: Personalized Medicine and Prescriptive Analytics
Level 7: Clinical Risk Intervention and Predictive Analytics
Level 6: Population Health Management and Suggestive Analytics
Level 5: Waste and Care Variability Reduction
Level 4: Automated External Reporting
Level 3: Automated Internal Reporting
Level 2: Standardized Vocabulary and Patient Registries
Level 1: Enterprise Data Warehouse
Level 0: Fragmented Analytics Point Solutions

For a detailed description of the Healthcare Analytics Adoption Model, download The Healthcare Analytics Adoption Model: A Framework and Roadmap, here: /wp-content/uploads/2013/11/analytics-adoption-model-Nov-2013.pdf

AA Model comparison

About Health Catalyst

Based in Salt Lake City, Health Catalyst delivers a proven, Late-Binding™ Data Warehouse platform and analytic applications that actually work in today’s transforming healthcare environment. Health Catalyst data warehouse platforms aggregate data utilized in population health and ACO projects in support of over 30 million unique patients.  Health Catalyst platform clients operate over 135 hospitals and 1,700 clinics that account for over $130 billion in care delivered annually. Health Catalyst received the highest vendor rating in Chilmark’s 2013 Clinical Analytics Market Trends Report, and was selected as a 2013 Gartner Cool Vendor. Health Catalyst was also recognized in 2013 as one of the best places to work by both Modern Healthcare magazine and Utah Business magazine.   Health Catalyst’s platform and applications are being utilized at leading health systems including Allina Health, Crystal Run Healthcare, Kaiser Permanente, MultiCare Health System, North Memorial Health Care, Partners HealthCare, Providence Health & Services, Stanford Hospital & Clinics, Texas Children’s Hospital, and Children’s Hospital of Wisconsin. Health Catalyst investors include CHV Capital, HB Ventures, Kaiser Permanente Ventures, Norwest Venture Partners, Partners HealthCare, Sequoia Capital, and Sorenson Capital. Visit, and follow us on Twitter, LinkedIn and Facebook.

Media Contact:
Amendola Communications for Health Catalyst
Todd Stein