Bridging language barriers in healthcare: a patient-centric mobile app for multilingual health record access and sharing.

IF 3.2 Q1 HEALTH CARE SCIENCES & SERVICES
Frontiers in digital health Pub Date : 2025-02-18 eCollection Date: 2025-01-01 DOI:10.3389/fdgth.2025.1542485
Theodoros Solomou, Stelios Mappouras, Efthyvoulos Kyriacou, Ioannis Constantinou, Zinonas Antoniou, Ionut Cristian Canciu, Marios Neophytou, Zoltan Lantos, Christos N Schizas, Constantinos S Pattichis
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引用次数: 0

Abstract

Introduction: Access to health data for patients is hindered by a fragmented healthcare system and the absence of unified, patient-centric solutions. Additionally, there are no mechanics for easy sharing of medical records with healthcare providers, risking incomplete diagnoses. To further intensify the problem, when patients seek care abroad, language barriers may prevent foreign doctors from understanding their health data, further complicating treatment.

Methods: Our study presents the development and evaluation of a mobile application designed to enable users to access and share their health records directly from their device, in multiple languages, ensuring ease of use and convenience. The solution utilizes OpenNCP for translating patient summaries into multiple languages and the FHIR Smart Health Links Protocol for secure sharing. We conducted a user acceptance study with 45 participants to evaluate our mobile app's interface and functionality.

Results: The feedback was positive, highlighting the app's user-friendliness and usefulness. The participants felt it would enhance communication between physicians and patients and the features of sharing and translating are going to give more control of their medical data to the patients.

Discussion: Based on the results and participants feedback, our mobile solution significantly enhances healthcare accessibility and efficiency by enabling easy access and sharing of health records in multiple languages, using relevant protocols and standards, reducing medical errors and ensuring personalized care.

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来源期刊
CiteScore
4.20
自引率
0.00%
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审稿时长
13 weeks
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