Literature DB >> 9690180

Automation of patient dependency systems.

F Soliman1.   

Abstract

One of the most challenging decisions in resource allocations in hospitals is: how to allocate nursing duties on the basis of patients' needs? Patient Dependency Systems, in different forms, can be used to provide information for staffing decisions and budgetary developments. That is why Patient Dependency Systems are emerging as powerful tools in hospital management. It is anticipated that their use will grow, as hospitals everywhere come under pressure to reduce cost and improve the delivery and quality of health care to patients. Experience has shown that manual Patient Dependency Systems lack the ability to process and provide information fast enough to handle crisis situations. In addition, manual calculations are inefficient and are not free from human errors. However, the utilization of current advances in computing technology can overcome these disadvantages. Patient Dependency Systems are suitable for automation since their essence is too complex to handle manually. Furthermore, it is essential to automate the Patient Dependency Systems because of their critical role and their inherent complexity. In this paper, the automation of Patient Dependency Systems is presented. The development of Patient Dependency Automated Systems is shown to provide reliable and valid methods for evaluating the needs of patients in terms of the nursing effort required.

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Year:  1998        PMID: 9690180     DOI: 10.1023/a:1022609717031

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  8 in total

1.  Physician clinical communication systems--an Australian perspective.

Authors:  F Soliman; J Soar
Journal:  J Med Syst       Date:  1997-04       Impact factor: 4.460

2.  Using workload analysis and acuity systems to facilitate quality and productivity.

Authors:  R Kirk
Journal:  J Nurs Adm       Date:  1990-03       Impact factor: 1.737

3.  Setting nursing hours standards. Part 1.

Authors:  F Hoffman; T Schaefer; N Zuraikal
Journal:  J Nurs Adm       Date:  1986-01       Impact factor: 1.737

4.  Building a classification system that works.

Authors:  J Unger
Journal:  J Nurs Adm       Date:  1985 Jul-Aug       Impact factor: 1.737

5.  Acuity classification in the urgent care setting.

Authors:  C Detwiler; M J Clark
Journal:  J Nurs Adm       Date:  1995-02       Impact factor: 1.737

6.  Improving resource utilization through patient dependency systems.

Authors:  F Soliman
Journal:  J Med Syst       Date:  1997-10       Impact factor: 4.460

7.  Patient classification systems and staffing. Part 1, Problems and promise.

Authors:  H A DeGroot
Journal:  J Nurs Adm       Date:  1994-09       Impact factor: 1.737

8.  Client classification. A "needs" approach.

Authors:  M A Hay; L M Nelson
Journal:  J Psychosoc Nurs Ment Health Serv       Date:  1988-12       Impact factor: 1.098

  8 in total
  1 in total

1.  Patient Dependency Knowledge-Based Systems.

Authors:  F Soliman
Journal:  J Med Syst       Date:  1998-10       Impact factor: 4.460

  1 in total

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