Emergence, convergence, and differentiation of organizational forms of health data governance: The U.S. All-payer Claims Databases (APCD) movement

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2019
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Winter, Jenifer Sunrise
Davidson, Elizabeth
Boyce, Crystal
Fan, Victoria
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Academy of Management
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In this research we are investigating how different organizational forms of data governance develop in response to the opportunities and challenges to aggregate, curate, and utilize digital health data for health systems improvement and market regulation. We are examining (i) how/when do governance arrangements coalesce around specific domains of health data resources as identifiable organizational forms; (ii) what influences how (or whether) these forms develop in a health care market, and (iii) what factors contribute to convergence or divergence in organizational forms across markets? To address these questions, we are conducting an in-depth, multi-level field study of the movement to establish all payer claims database (APCD) organizations in the U.S. healthcare sector. Among states with an APCD there is substantial variety in the data domains, stakeholders, governance goals and structures of the organization, indicating local variation and divergence, as well interstate and national initiatives to encourage convergence along some dimensions. This provides a rich opportunity to study institutional and market factors that contribute to (or inhibit) emergence, convergence, or divergence of health data governance forms and the implications for health care sector management and improvement that may result. In this paper we report preliminary findings and analysis of this study.
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data governance, big data, personal health information, APCDs, All Payer Claims Databases
Citation
Winter, J. S., Davidson, E., Fan, V., & Boyce, C. (2019). “Emergence, convergence, and differentiation of organizational forms of health data governance: The U.S. All-payer Claims Databases (APCD) movement.” Academy of Management Annual Conference, August 2019.
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This material is based upon work supported by the National Science Foundation under Grant Number 1827592. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
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