Healthcare Analytics Maturity Survey
Most experts agree that success under value-based healthcare requires physicians and hospitals to use sophisticated analytics to comb through terabytes of clinical data, spot trends and 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: http://www.healthcatalyst.com/wp-content/uploads/2013/11/analytics-adoption-model-Nov-2013.pdf