Desiderata for a New Generation of EHRs for Inclusive Healthcare

Esther Román-Villarán; Elske Ammenwerth; Jayathri Wijayaratne; Carlos Luis Parra-Calderón

doi:10.1055/s-0042-1742507

Yearbook of Medical Informatics, Inhaltsverzeichnis

CC BY-NC-ND 4.0 · Yearb Med Inform 2022; 31(01): 088-093
DOI: 10.1055/s-0042-1742507

Special Section: Inclusive Digital Health

Working Group Contributions

Desiderata for a New Generation of EHRs for Inclusive Healthcare

Contribution from the IMIA Health Information Systems Working Group

Autor*innen

Esther Román-Villarán

¹Group of Research and Innovation in Biomedical Informatics, Biomedical Engineering and Health Economy, Institute of Biomedicine of Seville, IBiS / Virgen del Rocío University Hospital / CSIC / University of Seville, Seville, Spain
Elske Ammenwerth

²University of Health Sciences, Medical Informatics and Technology, Austria
Jayathri Wijayaratne

³Information Unit, Ministry of Health, Sri Lanka
Carlos Luis Parra-Calderón

¹Group of Research and Innovation in Biomedical Informatics, Biomedical Engineering and Health Economy, Institute of Biomedicine of Seville, IBiS / Virgen del Rocío University Hospital / CSIC / University of Seville, Seville, Spain

⁴Head of Technological Innovation Unit, Virgen del Rocío University Hospital, Seville, Spain

Abstract

Summary

Objectives: This research addresses several factors relevant to inequity in healthcare that may be susceptible to being addressed in a new generation of electronic health records (EHRs).

Methods: Through a scoping review of the literature, inequities related to ethnicity, gender, and socioeconomic aspects in healthcare in general and, more specifically in EHRs, have been considered. Papers have been identified between 2011 and 2022 in three categories: EHR, gender inequalities, and ethnicity inequalities.

Results: Twenty-two recommendations have been identified within the scope of the three categories indicated above. These exposed requirements focus on two spheres: (1) technical sphere, mainly focused on the characteristics and tools that the EHR should develop from taking into account the studied inequalities; and (2) clinical sphere, which mainly affects patients, health professionals, and health providers.

Conclusions: Ethnic and gender inequalities are essential factors to take into account when diagnosing, monitoring, preventing, and treating a patient. These factors give us the keys to discovering recommendations for a new generation of EHRs to help mitigate these needs.

Keywords

Electronic Health Records - healthcare - gender - ethnic - socioeconomic factors

Volltext

Referenzen

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