Patient Dependency Knowledge-Based Systems

被引:0
|
作者
Soliman F. [1 ]
机构
[1] School of Management, University of Technology, Sydney, NSW
关键词
Knowledge-based resources; Patient dependency information; Systems hospitals nursing human management;
D O I
10.1023/A:1020582128433
中图分类号
学科分类号
摘要
The ability of Patient Dependency Systems to provide information for staffing decisions and budgetary development has been demonstrated. In addition, they have become powerful tools in modem hospital management. This growing interest in Patient Dependency Systems has renewed calls for their automation. As advances in Information Technology and in particular Knowledge-Based Engineering reach new heights, hospitals can no longer afford to ignore the potential benefits obtainable from developing and implementing Patient Dependency Knowledge-Based Systems. Experience has shown that the vast majority of decisions and rules used in the Patient Dependency method are too complex to capture in the form of a traditional programming language. Furthermore, the conventional Patient Dependency Information System automates the simple and rigid bookkeeping functions. On the other hand Knowledge- Based Systems automate complex decision making and judgmental processes and therefore are the appropriate technology for automating the Patient Dependency method. In this paper a new technique to automate Patient Dependency Systems using knowledge processing is presented. In this approach all Patient Dependency factors have been translated into a set of Decision Rules suitable for use in a Knowledge-Based System. The system is capable of providing the decision-maker with a number of scenarios and their possible outcomes. This paper also presents the development of Patient Dependency Knowledge-Based Systems, which can be used in allocating and evaluating resources and nursing staff in hospitals on the basis of patients' needs.
引用
收藏
页码:357 / 370
页数:13
相关论文
共 50 条
  • [1] Advanced patient management using knowledge-based systems
    Schaldach, M
    Diem, B
    Hanrath, P
    Mlynski, M
    Lang, V
    Ameling, W
    [J]. CARDIAC ARRHYTHMIAS 2001, 2002, : 549 - 555
  • [2] DESIGN OF KNOWLEDGE-BASED SYSTEMS WITH A KNOWLEDGE-BASED ASSISTANT
    SCHOEN, E
    SMITH, RG
    BUCHANAN, BG
    [J]. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 1988, 14 (12) : 1771 - 1791
  • [3] KNOWLEDGE-BASED SYSTEMS
    BUCHANAN, BG
    BOBROW, D
    DAVIS, R
    MCDERMOTT, J
    SHORTLIFFE, EH
    [J]. ANNUAL REVIEW OF COMPUTER SCIENCE, 1989, 4 : 395 - 416
  • [4] KNOWLEDGE-BASED SYSTEMS
    DAVIS, R
    [J]. SCIENCE, 1986, 231 (4741) : 957 - 963
  • [5] KNOWLEDGE-BASED SYSTEMS
    TALBOT, A
    [J]. RADIATION PROTECTION DOSIMETRY, 1995, 57 (1-4) : 501 - 501
  • [6] COMMUNICATING THE KNOWLEDGE IN KNOWLEDGE-BASED SYSTEMS
    BUTA, P
    SPRINGER, S
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 1992, 5 (3-4) : 389 - 394
  • [7] KNOWLEDGE AND DEVELOPING KNOWLEDGE-BASED SYSTEMS
    Radut, Carmen
    Tenovici, Cristina
    Turmacu, Mihaela
    [J]. 16TH INTERNATIONAL CONFERENCE THE KNOWLEDGE-BASED ORGANIZATION: ECONOMIC, SOCIAL AND ADMINISTRATIVE APPROACHES TO THE KNOWLEDGE-BASED ORGANIZATION, CONFERENCE PROCEEDINGS 2, 2010, : 435 - 438
  • [8] KNOWLEDGE ACQUISITION FOR KNOWLEDGE-BASED SYSTEMS
    MOTODA, H
    MIZOGUCHI, R
    BOOSE, J
    GAINES, B
    [J]. IEEE EXPERT-INTELLIGENT SYSTEMS & THEIR APPLICATIONS, 1991, 6 (04): : 53 - 64
  • [9] Knowledge engineering systems: the state of knowledge-based systems
    Hayer-Roth, Frederick
    Jacobstein, Neil
    [J]. Communications of the ACM, 1994, 37 (03): : 27 - 39
  • [10] KNOWLEDGE-BASED SYSTEMS - AN OVERVIEW
    MARK, WS
    SIMPSON, RL
    [J]. IEEE EXPERT-INTELLIGENT SYSTEMS & THEIR APPLICATIONS, 1991, 6 (03): : 12 - 17