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Data Governance in the Health Sector

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Data Governance

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Abstract

Governing data in the health sector is of the utmost importance to warranty an adequate assistance to patients and as support for the healthcare management services. However, data governance of the health data must face several challenges and constraints: data complexity, data privacy and security, traceability of patient data, interoperability and standardization, or the need to provide timely data access.

One of the most important activities in healthcare data management is the coding of medical data given that it is the basis for several activities ranging from hospital reimbursement to clinical research. As it has been reported through literature, several issues have been identified related to coding clinical data, which typically derive from inadequate levels of quality leading to some inacceptable situations in healthcare organizations, impacting even to their sustainability.

In this chapter, we present the framework CODE.CLINIC, developed in Portugal to guide organizations in their efforts to govern coded clinical data. The framework consists of two main components, which are based on the Alarcos’ Model for Data Maturity (MAMD): a Process Reference Model (PRM) and a Process Assessment Model (PAM). The chapter describes the CODE.CLINIC PRM and introduces an overview of the 16 processes grouped in 4 blocks (strategic, main, support, and other processes).

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Notes

  1. 1.

    The full PRM of CODE.CLINIC can be downloaded from https://medcids.med.up.pt/wp-content/uploads/sites/730/2023/04/Modelo-Referencia-Processo_CODE-Clinic.pdf.

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Authors and Affiliations

  1. Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS)/Center for Health Technology and Services Research (CINTESIS), Faculty of Medicine, University of Porto, Porto, Portugal

    Alberto Freitas & Julio Souza

  2. DQTeam/Alarcos Research Group, University of Castilla-La Mancha (UCLM), Ciudad Real, Spain

    Ismael Caballero

Authors
  1. Alberto Freitas
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  2. Julio Souza
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  3. Ismael Caballero
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Correspondence to Ismael Caballero .

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Editors and Affiliations

  1. Alarcos Research Group, Institute of Technologies and Information Systems, University of Castilla-La Mancha (UCLM), Ciudad Real, Spain

    Ismael Caballero

  2. Alarcos Research Group, Institute of Technologies and Information Systems, University of Castilla-La Mancha (UCLM), Ciudad Real, Spain

    Mario Piattini

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Freitas, A., Souza, J., Caballero, I. (2023). Data Governance in the Health Sector. In: Caballero, I., Piattini, M. (eds) Data Governance. Springer, Cham. https://doi.org/10.1007/978-3-031-43773-1_11

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