Adoption Model for Analytics Maturity
AMAM: A holistic framework and strategic roadmap to analytics maturity
The HIMSS Analytics Adoption Model for Analytics Maturity (AMAM) is designed to measure and advance an organization’s analytics capabilities. Analytics serve to improve many facets of a healthcare business beyond clinical decision support, such as the operational and financial aspects of the organization. This international eight-stage (0-7) model measures the capabilities your organization has gained from installation of technology and surrounding processes. Start on your path to improving healthcare delivery by completing each stage below. Our expert advisors are available with helpful tools to move your organization along its journey.
Personalized medicine & prescriptive analytics
- Stage 7 represents the pinnacle of applying analytics to support patient specific prescriptive care.
- Healthcare organizations can leverage advanced data sets, such as genomic and biometrics data to support the uniquely tailored and specific prescriptive healthcare treatments of personalized medicine.
- Organizations can deliver mass customization of care combined with prescriptive analytics.
Clinical risk intervention & predictive analytics
- Stage 6 pushes the organization to mature in the use of predictive analytics and expands the focus on advanced data content and clinical support.
Enhancing quality of care, population health, and understanding the economics of care
- Organizations show expanded point of care oriented analytics and support of population health.
- Data governance is aligned to support quality based performance reporting and bring further understanding around the economics of care.
Measuring and managing evidence based care, care visibility, and waste reduction
- The organization directs analytical data assets, skills, and infrastructure squarely towards improving clinical, financial, and operational program areas.
- This includes a concerted effort to understand and optimize by honing analytics resources that support evidence based care, track and report care and operational variability, and identify and minimize clinical and operational waste.
Efficient, consistent internal and external report production and agility
- Mastery of descriptive reporting broadly across the enterprise.
- Varying and different parts of the organization are able to effectively corral data, work with it, and produce historical and current period reporting with minimal effort.
- Data quality is stable and predictable, tools are standardized and broadly available, and data warehouse access is managed and reliable.
Core data warehouse workout: centralized database with an analytics competency center
- Data is presented in a formal data warehouse as an enterprise resource (as opposed to a silo oriented and narrowly used resource) with master data management (MDM) that supports ad-hoc queries and descriptive reporting.
- The enterprise begins maturing data governance while leveraging this environment in support of basic clinical and operational tasks, such as patient registries.
- All activities should be aligned with the organizations’ overall strategic goals.
- Analytic skills, standards, and education are managed through an analytics competency center.
Foundation building: data aggregation and initial data governance
- Organizations are just beginning to accumulate and manage data into a centralized location, like an operational data store or data warehouse supporting historical reference and consolidated access.
- The main focus of stage 1 is to document and begin execution of an analytics strategy that brings basic data together from appropriate systems of record and learn to manage (data governance) and define data so that it can be used and referenced by a broad cross section of analysts.
Fragmented point solutions
- All organizations start their analytics journey at stage 0, with a desire to learn about developing analytics capabilities in response to business demands, market pressures, and a need to develop further insights into the important decisions they make every day.