Service mechanism for Clinical Decision Support System for an Intensive Care Unit

被引：0
|
作者：
Ahmad, Faiyaz [1 ]
Beg, Mohd Rizwan [2 ]
Asthana, Rishi [3 ]
机构：
[1] Univ Lucknow, Lucknow 226007, Uttar Pradesh, India
[2] Integra Univ, CSE&IT, Lucknow, Uttar Pradesh, India
[3] BBD Univ, Elect Engg, Lucknow, Uttar Pradesh, India
来源：
2013 INTERNATIONAL CONFERENCE ON MULTIMEDIA, SIGNAL PROCESSING AND COMMUNICATION TECHNOLOGIES (IMPACT) | 2013年
关键词：
Intensive Care Unit; Health Level Seven; Information System; Clinical Decision Support System; Healthcare Environments;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The position of healthcare industry in India is poor in terms of adoption of IT infrastructure, and capability to harness its benefits. Both these factors entangle to form a catch-22 situation. The fundamental problem lies with either getting insufficient advantages or arousal of new loop holes in the IT solutions. Health Level Seven. They provide the facility to analyze, mine and assess the data. So their attribute of huge data storage go all waste. Ideally, there should be mechanisms which may enable the managers to take better decisions, for development of 'communicative and interactive information systems' and 'decision support facility' of information systems.
引用
收藏
页码：98 / 102
页数：5
相关论文
共 50 条
  • [1] Clinician Satisfaction With Computer Decision Support in the Intensive Care Unit
    Mann, Elizabeth A.
    Allen, David A.
    Serio-Melvin, Maria L.
    Wolf, Steven E.
    Salinas, Jose
    DIMENSIONS OF CRITICAL CARE NURSING, 2012, 31 (01) : 31 - 36
  • [2] Towards a Medical Intensive Care Unit Decision Support System Based on Intuitionistic Fuzzy Logic
    Jemal, Hanen
    Kechaou, Zied
    Ben Ayed, Mounir
    INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS (ISDA 2016), 2017, 557 : 602 - 611
  • [3] Complexity perspectives on clinical decision making in an intensive care unit
    de Bock, Ben A.
    Willems, Dick L.
    Weinstein, Henry C.
    JOURNAL OF EVALUATION IN CLINICAL PRACTICE, 2018, 24 (01) : 308 - 313
  • [4] Evaluating the effectiveness of a clinical decision support system (AI-Antidelirium) to improve Nurses' adherence to delirium guidelines in the intensive care unit
    Zhang, Shan
    Ding, Shu
    Cui, Wei
    Li, Xiangyu
    Wei, Jun
    Wu, Ying
    INTENSIVE AND CRITICAL CARE NURSING, 2025, 87
  • [5] The impact of a clinical information system in an intensive care unit
    Donati A.
    Gabbanelli V.
    Pantanetti S.
    Carletti P.
    Principi T.
    Marini B.
    Nataloni S.
    Sambo G.
    Pelaia P.
    J. Clin. Monit. Comput., 2008, 1 (31-36): : 31 - 36
  • [6] A web-based intensive care clinical decision support system: From design to evaluation
    Ozel, Deniz
    Bilge, Ugur
    Zayim, Nese
    Cengiz, Melike
    INFORMATICS FOR HEALTH & SOCIAL CARE, 2013, 38 (02) : 79 - 92
  • [7] Effects of reflection on clinical decision-making of intensive care unit nurses
    Razieh, Shahrokhi
    Somayeh, Ghafari
    Fariba, Haghani
    NURSE EDUCATION TODAY, 2018, 66 : 10 - 14
  • [8] Intensive Care Unit Physicians' Perspectives on Artificial Intelligence-Based Clinical Decision Support Tools: Preimplementation Survey Study
    van der Meijden, Siri L.
    de Hond, Anne A. H.
    Thoral, Patrick J.
    Steyerberg, Ewout W.
    Kant, Ilse M. J.
    Cina, Giovanni
    Arbous, M. Sesmu
    JMIR HUMAN FACTORS, 2023, 10
  • [9] Evaluation of hospital-wide computerised decision support in an intensive care unit: an observational study
    Santucci, W.
    Day, R. O.
    Baysari, M. T.
    ANAESTHESIA AND INTENSIVE CARE, 2016, 44 (04) : 507 - 512
  • [10] The impact of data quality defects on clinical decision-making in the intensive care unit
    Kramer, Oren
    Even, Adir
    Matot, Idit
    Steinberg, Yohai
    Bitan, Yuval
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2021, 209
12345