Perceptions of a secure cloud-based solution for data sharing during acute stroke care: qualitative interview study (Preprint)

Author:

Tuler de Oliveira MarcelaORCID,Amorim Reis Lúcio HenrikORCID,Marquering HenkORCID,Zwinderman Aeilko HavingORCID,Delgado Olabarriaga SílviaORCID

Abstract

BACKGROUND

Acute stroke care demands fast procedures carried out through the collaboration of multiple professionals across multiple organisations. Cloud computing and the wide adoption of electronic medical records (EMR) enable healthcare systems to improve data availability and facilitate sharing among professionals. However, designing a secure and privacy-preserving EMR cloud-based application is challenging because it must dynamically control the access to the patients' EMR according to the needs for data during treatment.

OBJECTIVE

We developed a prototype of a secure EMR cloud-based application. The application explores security features offered by the eHealth Cloud-based framework created by the ASCLEPIOS Horizon2020 project. This research aimed to collect impressions, challenges and improvements for the prototype when applied to the use case of secure data sharing among acute care teams during emergency treatment in the Netherlands.

METHODS

We performed eleven semi-structured interviews with medical professionals with four prominent roles in acute care. We used in-depth interviews to capture their perspectives on the application's design and functions, the implemented design, and its use in a simulated acute care event. We employed thematic analysis of interview transcripts. The recruitment of participants ended when the collected data reached thematic saturation.

RESULTS

The participants' perceptions and feedback are presented as five themes identified from the interviews: (T1) current challenges, (T2) quality of the shared EMR data, (T3) EMR data integrity and auditability, (T4) application usefulness and functionality, and (T5) trust and acceptance of the technology. The results reinforced the current challenges for patient data sharing during acute stroke care. Moreover, we expressed the challenges of adopting the ASCLEPIOS acute stroke care application in a real scenario, from the user point of view, and suggestions for improving the proposed technology's acceptability.

CONCLUSIONS

This study has endorsed a system that supports data sharing among acute care professionals with efficiency but without compromising the security and privacy of the patient.

Publisher

JMIR Publications Inc.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3