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Toward a data governance model for the Kenya health professional regulatory authorities

Victor Were (University of Nairobi, Nairobi, Kenya)
Christopher Moturi (University of Nairobi, Nairobi, Kenya)

The TQM Journal

ISSN: 1754-2731

Article publication date: 12 June 2017

Abstract

Purpose

The purpose of this paper is to determine the status, drivers, and barriers to data governance at the health professional regulatory authorities in Kenya. This study aims to develop a model that can be used to establish a formal data governance program at these regulatory authorities.

Design/methodology/approach

This study used data governance decision areas based on the study of Khatri and Brown (2010). Qualitative and quantitative research methods were used in this study to collect data.

Findings

This paper identified maintenance of quality of data, achieving customer satisfaction, ensuring data security and control, and achieving operational efficiency as the drivers of data governance at the regulatory authorities. The authorities are faced with lack of data governance awareness, lack of management ownership and support, as well as limited funding and resource allocations as barriers to data governance. This study proposed that for the authorities to increase their data governance, they need to identify their data as an asset, initiate more data quality management mechanism, restrict access to their data, create awareness, and increase management, ownership and support.

Practical implications

A data governance program for healthcare workforce data is necessary for healthcare planning which influences national policy in the healthcare and the overall delivery of health services in a country.

Originality/value

The paper proposes a model that health professional regulators in developing countries that are facing limited resources can be used to establish a formal data governance program.

Keywords

Citation

Were, V. and Moturi, C. (2017), "Toward a data governance model for the Kenya health professional regulatory authorities", The TQM Journal, Vol. 29 No. 4, pp. 579-589. https://doi.org/10.1108/TQM-10-2016-0092

Publisher

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Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited