Understanding healthcare providers' electronic health record (EHR) interface preferences via conjoint analysis

OBJECTIVE The emergence of Electronic Health Records (EHRs) has been beneficial in processing administrative and clinical data for quality healthcare information. Despite being patient-centered, a number of these technologies have a fractional consideration of the human-computer interaction, which affects the healthcare professionals as end-users. This attempted to surface the healthcare providers' preferences of an ideal EHR system interface in the community setting. MATERIALS AND METHOD Using an orthogonal main effect design of conjoint analysis, a select group of healthcare providers (n = 300) were asked to sort choice cards, which contains five (5) attributes of EHR interface with specific level. Data were analyzed using Sawtooth v.18 and SPSS v.21. RESULTS High importance was given to color scheme and device platform. Further, the part-worth analysis revealed the preference for an EHR with the following attributes: (a) smartphone device, (b) triadic color, (c) minimalist design, (d) chunked layout and (e) icon-centered menu. DISCUSSION Visual interest and technology needs of the community healthcare providers shaped their preferences. These provide substantial perspectives on how to improve usability of EHR interface systems. CONCLUSION Findings underscored the expanded roles of the healthcare professionals in the successful development of EHR systems.

• Publication year

  2023

• Venue

  Int. J. Medical Informatics

• Publication date

  2023-03-01

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.1016/j.ijmedinf.2023.105060PMID 37018897
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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