How Physicians and Patients Interact with Electronic Health Data: A Human-Computer Interaction Perspective

Author:

Zakreuskaya Anastasiya1ORCID

Affiliation:

1. Machine Learning and Data Analytics Lab, FAU Erlangen

Abstract

The collection and use of personal data is increasing and new developments in Big Data Analytics allow for innovative applications. Recent developments in healthcare, such as the proposal of the European Health Data Space, point towards a more data-driven future of diagnostics and therapy. These developments lead to new challenges, especially in how to design interfaces that support clinicians to navigate through these growing amount of data and new innovative algorithms. Therefore, this work aims to illustrate current experiences of physicians and nurses with health data, investiate possible solutions for data-driven interfaces and ultimately discuss strategies to include new data-sources, such as self-tracking data or patient reported outcome measures.

Publisher

IOS Press

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