Use of Creative Frameworks in Health Care to Solve Data and Information Problems: Scoping Review.

IF 2.6 Q2 HEALTH CARE SCIENCES & SERVICES
JMIR Human Factors Pub Date : 2024-09-13 DOI:10.2196/55182
Elisabeth Veronica Mess, Frank Kramer, Julia Krumme, Nico Kanelakis, Alexandra Teynor
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引用次数: 0

Abstract

Background: Digitization is vital for data management, especially in health care. However, problems still hinder health care stakeholders in their daily work while collecting, processing, and providing health data or information. Data are missing, incorrect, cannot be collected, or information is inadequately presented. These problems can be seen as data or information problems. A proven way to elicit requirements for (software) systems is by using creative frameworks (eg, user-centered design, design thinking, lean UX [user experience], or service design) or creative methods (eg, mind mapping, storyboarding, 6 thinking hats, or interaction room). However, to what extent they are used to solve data or information-related problems in health care is unclear.

Objective: The primary objective of this scoping review is to investigate the use of creative frameworks in addressing data and information problems in health care.

Methods: Following JBI guidelines and the PRISMA-ScR framework, this paper analyzes selected papers, answering whether creative frameworks addressed health care data or information problems. Focusing on data problems (elicitation or collection, processing) and information problems (provision or visualization), the review examined German and English papers published between 2018 and 2022 using keywords related to "data," "design," and "user-centered." The database SCOPUS was used.

Results: Of the 898 query results, only 23 papers described a data or information problem and a creative method to solve it. These were included in the follow-up analysis and divided into different problem categories: data collection (n=7), data processing (n=1), information visualization (n=11), and mixed problems meaning data and information problem present (n=4). The analysis showed that most identified problems fall into the information visualization category. This could indicate that creative frameworks are particularly suitable for solving information or visualization problems and less for other, more abstract areas such as data problems. The results also showed that most researchers applied a creative framework after they knew what specific (data or information) problem they had (n=21). Only a minority chose a creative framework to identify a problem and realize it was a data or information problem (n=2). In response to these findings, the paper discusses the need for a new approach that addresses health care data and information challenges by promoting collaboration, iterative feedback, and user-centered development.

Conclusions: Although the potential of creative frameworks is undisputed, applying these in solving data and information problems is a minority. To harness this potential, a suitable method needs to be developed to support health care system stakeholders. This method could be the User-Centered Data Approach.

在医疗保健领域使用创新框架解决数据和信息问题:范围审查。
背景:数字化对数据管理至关重要,尤其是在医疗保健领域。然而,在收集、处理和提供医疗数据或信息时,仍有一些问题阻碍着医疗相关人员的日常工作。数据缺失、不正确、无法收集或信息展示不充分。这些问题可以被视为数据或信息问题。为(软件)系统征集需求的一种行之有效的方法是使用创造性框架(如以用户为中心的设计、设计思维、精益用户体验或服务设计)或创造性方法(如思维导图、故事板、六顶思考帽或交互室)。然而,这些方法在多大程度上用于解决医疗保健中与数据或信息相关的问题尚不清楚:本范围综述的主要目的是调查在解决医疗保健中的数据和信息问题时创意框架的使用情况:本文按照JBI指南和PRISMA-ScR框架,对所选论文进行了分析,以回答创意框架是否解决了医疗数据或信息问题。该综述以数据问题(激发或收集、处理)和信息问题(提供或可视化)为重点,使用与 "数据"、"设计 "和 "以用户为中心 "相关的关键词,研究了2018年至2022年间发表的德文和英文论文。使用了 SCOPUS 数据库:在 898 项查询结果中,只有 23 篇论文描述了数据或信息问题以及解决该问题的创造性方法。这些论文被纳入后续分析,并被分为不同的问题类别:数据收集(7 篇)、数据处理(1 篇)、信息可视化(11 篇),以及数据和信息问题混合问题(4 篇)。分析表明,大多数发现的问题属于信息可视化类别。这可能表明,创造性框架特别适用于解决信息或可视化问题,而较少适用于数据问题等其他更抽象的领域。研究结果还显示,大多数研究人员都是在知道自己遇到的具体(数据或信息)问题后才采用创意框架的(n=21)。只有少数人在发现问题并意识到是数据或信息问题时才选择创造性框架(人数=2)。针对这些发现,本文讨论了通过促进合作、迭代反馈和以用户为中心的开发来应对医疗数据和信息挑战的新方法的必要性:尽管创造性框架的潜力毋庸置疑,但将其应用于解决数据和信息问题的人毕竟是少数。为了利用这一潜力,需要开发一种合适的方法来支持医疗保健系统的利益相关者。这种方法可以是 "以用户为中心的数据方法"。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JMIR Human Factors
JMIR Human Factors Medicine-Health Informatics
CiteScore
3.40
自引率
3.70%
发文量
123
审稿时长
12 weeks
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