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Healthcare System Access: Measurement, Inference, and Intervention

Verkaufsrang1780inBiologie
BuchGebunden
272 Seiten
Englisch
Wiley2019
A guide to a holistic approach to healthcare measurement aimed at improving access and outcomesHealthcare 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 ...mehr
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Produktinformationen

InhaltA guide to a holistic approach to healthcare measurement aimed at improving access and outcomesHealthcare 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 healthcareProvides in-depth material including illustrations of how to use state-of-art methodology, large data sources, and research from various fieldsIncludes end-of-chapter case studies for applying concepts to real-world conditionsWritten 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.
Details
ISBN/GTIN978-1-119-60131-9
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2019
Erscheinungsdatum26.12.2019
Seiten272 Seiten
SpracheEnglisch
Artikel-Nr.36354927
Rubriken
KategorieBiologie

Kritiken und Kommentare

InhaltsverzeichnisChapter 1: IntroductionChapter 2: A Multidimensional Framework for Measuring AccessChapter 3: Disparities in Healthcare AccessChapter 4: Linking Access to Health OutcomesChapter 5: Healthcare Interventions for Improving AccessChapter 6: Data Analytics

Über den Autor

Nicoleta Serban, PhD, is a Professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology. She has reviewed for multiple funding agencies and she has served in multiple workshops and meetings organized by the National Academy of Engineering and National Academy of Medicine. Her research record is diverse, including mathematical and statistical modeling and data science, with a current research emphasis on health analytics using massive datasets to inform policy making and targeted interventions. Dr. Serban has published more than 60 journal articles and a collaborative book on healthcare system complexities.

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