Data Core

A learning health system continuously improves healthcare quality and patient outcomes, supports high-value care, enhances operational efficiencies and advances research and knowledge generation by integrating data from various sources to assure the right data is available in the right hands at the right time.

At Dartmouth, we rely on the combination of a feed-forward and feed-back data system which creates our learning health system data engine. The LHS data engine provides the essential information to understand, identify, and track changes in health and care outcomes over time. For the purpose of supporting a Coproduction LHS, our Data Engine contains one or more types of patient-generated data, such as patient-reported outcome measures (PROMs), patient-reported experience measures (PREMs), or patient-reported goals and concerns.

Data feed-forward system 

Goal: People receive healthcare services that are co-designed and co-produced by the person with a health condition, their care partners, and their clinicians.

Data feed-back system

Goal: Population-level and practice-level data is available to clinical teams for visualization and analysis and can lead to improvement of healthcare services, supporting population health management, quality improvement initiatives, operations, and research.

Current examples of the LHS data engine at Dartmouth Health include those found in palliative care, transplant and cellular therapy, collaborative care (integrated behavioral health and primary care), and advanced heart failure.  

Contact Aricca.D.Van.Citters@dartmouth.edu to learn more.