A guide to a holistic approach to healthcare measurement aimed at
improving access and outcomes
Healthcare System Access is an important resource that bridges two
areas of research--access modeling and healthcare system engineering.
The book's mathematical modeling approach highlights fundamental
approaches on measurement of and inference on healthcare access. This
mathematical modeling facilitates translating data into knowledge in
order to make data-driven estimates and projections about parameters,
patterns, and trends in the system. The complementary engineering
approach uses estimates and projections about the system to better
inform efforts to design systems that will yield better outcomes.
The author--a noted expert on the topic--offers an in-depth exploration
of the concepts of systematic disparities, reviews measures for
systematic disparities, and presents a statistical framework for making
inference on disparities with application to disparities in access. The
book also includes information health outcomes in the context of
prevention and chronic disease management. In addition, this text:
- Integrates data and knowledge from various fields to provide a
framework for decision making in transforming access to healthcare
- Provides in-depth material including illustrations of how to use
state-of-art methodology, large data sources, and research from
various fields
- Includes end-of-chapter case studies for applying concepts to
real-world conditions
Written for health systems engineers, Healthcare System Access:
Measurement, Inference, and Intervention puts the focus on approaches
to measure healthcare access and addresses important enablers of such
change in healthcare towards improving access and outcomes.
