Transforming Health Information Management Through the Digital Pen and Paper (DPP) Technology

Author:

Tsoromokos Dimitrios P1ORCID,Lazakidou Athina A1

Affiliation:

1. Department of Economics, Digital Health Applications and Health Economics Analytics Laboratory, Tripoli, Greece

Abstract

The aim of this article is the development and use of a smart accountability system (both systemic and individual) during the provision of health services, which will free up a large number of resources within a Health Organization. Compared to traditional manual recording, the new system of Digital Pen and Paper (DPP) achieves a significant reduction in the organization's operating cost. Over the duration of seven months from January to July 2016, 693 forms were collected from three public hospitals of Greece. 49 nurses who worked in intensive care units (ICU) took part in the survey. 18,934 fields were filled in 1,466 of which were counted with errors. The accuracy percentage rate of the data amounts to 92.3% and the corresponding rate of errors to 7.7%. The average time for a form to be filled in by a nurse using the digital pen amounts to 3 minutes and 35 seconds. The highest percentage rate of data accuracy reached 94.76% and the best time of filling in the form was under 3 minutes per form. Results can be improved even more through user training and application of entry rules.

Publisher

IGI Global

Subject

Insect Science,Ecology,Ecology, Evolution, Behavior and Systematics

Reference35 articles.

1. Synthesizing Knowledge about Nursing Shift Handovers: Overview and Reflections from Evidence-Based Literature.;E.Athanasakis;International Journal of Caring Sciences,2013

2. Nursing Department: Criteria to create a successful model.;F.Bamatsikou;Rostrum of Asclepius,2012

3. The digital pen and paper technology: Implementation and use in an existing clinical information system.;C.Despont-Gros;Studies in Health Technology and Informatics,2005

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Anti-Counterfeiting Digital Pen for Multi-Dimensional Force Information Measurement Based on Biometric Technology;2022 International Conference on Artificial Intelligence and Autonomous Robot Systems (AIARS);2022-07

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