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Assessing organizational health-analytics readiness: artifacts based on elaborated action design method

Sathyanarayanan Venkatraman, Rangaraja Sundarraj

Journal of Enterprise Information Management

ISSN: 1741-0398

Article publication date: 11 July 2022

Issue publication date: 27 January 2023

326

Abstract

Purpose

While the adoption of health-analytics (HA) is expanding, not every healthcare organization understands the factors impacting its readiness for HA. An assessment of HA-readiness helps guide organizational strategy and the realization of business value. Past research on HA has not included a comprehensive set of readiness-factors and assessment methods. This study’s objective is to design artifacts to assess the HA-readiness of hospitals.

Design/methodology/approach

The information-systems (IS) theory and methodology entail the iterative Elaborated Action Design Research (EADR)method, combined with cross-sectional field studies involving 14 healthcare organizations and 27 participants. The researchers determine factors and leverage multi-criteria decision-making techniques to assess HA-readiness.

Findings

The artifacts emerging from this research include: (1) a map of readiness factors, (2) multi-criteria decision-making techniques that assess the readiness levels on the factors, the varying levels of factor-importance and the inter-factor relationships and (3) an instantiated system. The in-situ evaluation shows how these artifacts can provide insights and strategic direction to an organization through collective knowledge from stakeholders.

Originality/value

This study finds new factors influencing HA-readiness, validates the well-known and details their industry-specific nuances. The methods used in this research yield a well-rounded HA readiness-assessment (HARA) approach and offer practical insights to hospitals.

Keywords

Citation

Venkatraman, S. and Sundarraj, R. (2023), "Assessing organizational health-analytics readiness: artifacts based on elaborated action design method", Journal of Enterprise Information Management, Vol. 36 No. 1, pp. 123-150. https://doi.org/10.1108/JEIM-10-2020-0422

Publisher

:

Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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