Sharing health data : the why, the will, and the way forward / Claudia Grossmann [and three others], editors.

Format:

Book

Contributor:

Grossmann, Claudia, editor.

Language:

English

Subjects (All):

Health--Data processing.

Health.

Physical Description:

1 online resource (137 pages)

Edition:

First edition.

Place of Publication:

Washington, DC : National Academies Press, [2022]

Summary:

This publication titled 'Sharing Health Data: The Why, the Will, and the Way Forward' is a comprehensive examination of the challenges and opportunities in sharing health data to improve health outcomes. Edited by Sarah M. Greene, Mahnoor Ahmed, Peak Sen Chua, and Claudia Grossmann, the book is part of the Learning Health System Series by the National Academy of Medicine. It includes case studies that highlight various initiatives and collaborations aimed at advancing data sharing in healthcare settings. The book explores the importance of building stakeholder trust and addresses the technical, ethical, and regulatory barriers to data sharing. It is intended for healthcare professionals, policymakers, and researchers interested in the intersection of data science and public health. Generated by AI.

Contents:

Intro

FrontMatter

Contents

Boxes and Figures

Acronyms and Abbreviations

Foreword

1 Introduction and Initiative Background

2 Case Study: OpenNotes

3 Case Study: The University of Michigan (U-M)

4 Case Study: Luna

5 Case Study: COVID-19 Evidence Accelerator (EA)

6 Case Study: The National COVID Cohort Collaborative (N3C)

7 Case Study: The Yale Open Data Access (YODA) Project

8 Case Study: Vivli

9 Case Study: The Louisiana Public Health Institute (LPHI) and the Greater New Orleans Health Information Exchange

10 Case Study: The Sanford Health System and Sanford Data

11 Case Study: Blue Cross Blue Shield of North Carolina

12 Case Study: Mayo-Google Partnership

13 Conclusion

References

Appendix A: Key Informant Interview Questions.

Notes:

Includes bibliographical references.

Description based on publisher supplied metadata and other sources.

Part of the metadata in this record was created by AI, based on the text of the resource.

Description based on print version record.

ISBN:

0-309-70498-7

OCLC:

1392345020