Wireless Transfer of Sensor Data into Electronic Health Records

被引:0
|
作者
Walseth, Ole Anders [1 ]
Arsand, Eirik [1 ]
Sund, Torbjorn [1 ]
Skipenes, Eva [1 ]
机构
[1] Univ Hosp N Norway, Norwegian Ctr Telemed, Tromso, Norway
关键词
Blood glucose sensor; Diabetes; Diabetes nurse; Diabetes management system; EHR; Electronic health record; Risk analysis;
D O I
暂无
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
The purpose of this study is to explore how wireless transfer of sensor data call be implemented in existing Electronic Health Record (EHR)systems. Blood glucose data from people with diabetes Type I has been selected as the case. As proof of concept, a prototype for sending blood glucose measurements into an EHR system was developed for the DIPS EHR system. For the prototype to be transferable to a general setting, care was taken not to introduce any additional workload for the diabetes nurses or the diabetes Type I patients. In the prototype, the transfer of blood glucose data is automatic and invisible to the user, and the data is presented to the nurses within the existing DIPS laboratory module. To determine whether deployment of such a system would present any risks or hazards to patients (medical or financial), a risk analysis was performed. The analysis indicates that storing blood glucose values in the patient's EHR does not represent any significantly increased risks for the diabetes patient. The study shows that existing EHR systems are well stated to receive sensor data. The three main EHR systems in Norwegian hospitals are all supported with application programming interfaces (APIs), enabling external vendors to add modules. These APIs are sufficient to implement modules for receiving sensor data. However, none of the systems currently have commercially available modules for receiving such data.
引用
收藏
页码:334 / 339
页数:6
相关论文
共 50 条
  • [31] Family Relatives as Structured Data in Electronic Health Records
    Zhou, L.
    Lu, Y.
    Vitale, C. J.
    Mar, P. L.
    Chang, F.
    Dhopeshwarkar, N.
    Rocha, R. A.
    APPLIED CLINICAL INFORMATICS, 2014, 5 (02): : 349 - 367
  • [32] Inconsistencies in Visual Acuity Data in Electronic Health Records
    Goldstein, Judith E.
    Guo, Xinxing
    Boland, Michael V.
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2021, 62 (08)
  • [33] Challenges in data quality assurance for electronic health records
    Shabestari, Omid
    Roudsari, Abdul
    Studies in Health Technology and Informatics, 2013, 183 : 37 - 41
  • [34] A Design of Patients Data Transparency in Electronic Health Records
    Jayabalan, Manoj
    Thiruchelvam, Vinesh
    2017 IEEE INTERNATIONAL SYMPOSIUM ON CONSUMER ELECTRONICS (ISCE), 2017, : 9 - 10
  • [35] Conceptual Design, Implementation, and Evaluation of Generic and Standard-Compliant Data Transfer into Electronic Health Records
    Blitz, Rogerio
    Dugas, Martin
    APPLIED CLINICAL INFORMATICS, 2020, 11 (03): : 374 - 386
  • [36] Data transfer protocol in bridge structural health monitor system using wireless sensor network
    Li, Fangmin
    Xiong, Li
    Liu, Xinhua
    Wu, Xuehong
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 5102 - +
  • [37] Replica controlled sensor enabled architecture for management of electronic health records
    Franklin I.B.
    Bhuvaneswari R.
    Vasanthi V.
    Jerald M.P.A.
    International Journal of Information Technology, 2023, 15 (7) : 3643 - 3653
  • [38] Electronic Health Records
    Ronquillo, Jay G.
    Zuckerman, Diana M.
    ANNALS OF INTERNAL MEDICINE, 2017, 166 (07) : 536 - 536
  • [39] Electronic Health Records
    Nissman, Steven A.
    OPHTHALMOLOGY, 2009, 116 (05) : 1018 - 1019
  • [40] Electronic Health Records
    Mitka, Mike
    JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2011, 305 (14): : 1402 - 1402