Medical Device Integrated Vital Signs Monitoring Application with Real-Time Clinical Decision Support

被引:2
|
作者
Moqeem, Aasia [1 ]
Baig, Mirza [1 ]
Gholamhosseini, Hamid [1 ]
Mirza, Farhaan [1 ]
Linden, Maria [2 ]
机构
[1] Auckland Univ Technol, Sch Engn Comp & Math Sci, Auckland, New Zealand
[2] Malardalen Univ, Sch Innovat Design & Engn, Vasteras, Sweden
关键词
Clinical decision support; Vital signs monitoring; Patient monitoring; Medical devices; Clinical tools; Risk calculators; Mobile healthcare application;
D O I
10.3233/978-1-61499-868-6-189
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This research involves the design and development of a novel Android smartphone application for real-time vital signs monitoring and decision support. The proposed application integrates market available, wireless and Bluetooth connected medical devices for collecting vital signs. The medical device data collected by the app includes heart rate, oxygen saturation and electrocardiograph (ECG). The collated data is streamed/displayed on the smartphone in real-time. This application was designed by adopting six screens approach (6S) mobile development framework and focused on user-centered approach and considered clinicians-as-a-user. The clinical engagement, consultations, feedback and usability of the application in the everyday practices were considered critical from the initial phase of the design and development. Furthermore, the proposed application is capable to deliver rich clinical decision support in real-time using the integrated medical device data.
引用
收藏
页码:189 / 193
页数:5
相关论文
共 50 条
  • [41] Real-Time Athlete Fatigue Monitoring Using Fuzzy Decision Support Systems
    Li, Aiqin
    INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, 2025, 18 (01)
  • [42] Selection process of intelligent decision support tool for real-time monitoring system
    Vafaie, H
    Shaughnessy, M
    Bethem, T
    Burton, J
    14TH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2002, : 173 - 180
  • [43] Real-time traffic network state estimation and prediction with decision support capabilities: Application to integrated corridor management
    Hashemi, Hossein
    Abdelghany, Khaled F.
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2016, 73 : 128 - 146
  • [44] THE HEMOVIGILANCE UNIT: REAL-TIME BLOOD TRANSFUSION MONITORING AND CLINICAL SUPPORT
    Throssel, Marla
    Murphy, Leah
    Sajith, Bilja
    Adrian, Mechele
    Gallardo, Luisa
    Kelley, James
    ONCOLOGY NURSING FORUM, 2020, 47 (02)
  • [45] Combining Structured and Free-text Electronic Medical Record Data for Real-time Clinical Decision Support
    Apostolova, Emilia
    Wang, Tony
    Koutroulis, Ioannis
    Tschampel, Tim
    Velez, Tom
    SIGBIOMED WORKSHOP ON BIOMEDICAL NATURAL LANGUAGE PROCESSING (BIONLP 2019), 2019, : 66 - 70
  • [46] Real-time risk assessment and decision support
    Bolsover, Andy
    PROCESS SAFETY PROGRESS, 2015, 34 (02) : 183 - 190
  • [47] INTEGRATE REAL-TIME DATA WITH DECISION SUPPORT
    KENNEDY, JP
    HYDROCARBON PROCESSING, 1992, 71 (05): : 69 - 73
  • [48] Flexible Conductive Composite Integrated with Personal Earphone for Wireless, Real-Time Monitoring of Electrophysiological Signs
    Lee, Joong Hoon
    Hwang, Ji-Young
    Zhu, Jia
    Hwang, Ha Ryeon
    Lee, Seung Min
    Cheng, Huanyu
    Lee, Sang-Hoon
    Hwang, Suk-Won
    ACS APPLIED MATERIALS & INTERFACES, 2018, 10 (25) : 21184 - 21190
  • [49] Real-Time Web Mining Application to Support Decision-Making Process
    Hovad, Jan
    Lnenicka, Martin
    Komarkova, Jitka
    2015 INTERNATIONAL CONFERENCE ON INFORMATION AND DIGITAL TECHNOLOGIES (IDT), 2015, : 94 - 101
  • [50] Real Time Monitoring of Human Body Vital Signs using Bluetooth and WLAN
    Khan, Najeed Ahmed
    Hai, Marium
    Sawand, M. Ajmal
    Khuzema, Arwa
    Tariq, Mehak
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2016, 7 (10) : 210 - 216