Literature DB >> 9507405

Improving resource utilization through patient dependency systems.

F Soliman1.   

Abstract

Hospitals are striving for funds and at the same time are required to improve the delivery and quality health care to patients. Naturally this strains hospital resources and requires sophistication in planning and in resource utilization. Nursing staff time remains one of the most important resources that require careful planning. Scheduling the time and duties of the nursing staff on the basis of patients' needs could improve the quality of care and ultimately leads to efficient utilization of hospital resources. This paper presents a model for allocating nursing staff duties using a Patient Dependency System. The model was developed using a time motion study conducted in a leading hospital. Resource utilization indexes were compared before and after the model was implemented. Results show significant increase in the efficiency of utilization of resources and improvement in the quality of the care. The model presented as a set of decision making rules suitable for use in a Patient Dependency Knowledge Based System.

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Year:  1997        PMID: 9507405     DOI: 10.1023/a:1022820624783

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


  14 in total

1.  Understanding patient classification systems.

Authors:  P Giovannetti
Journal:  J Nurs Adm       Date:  1979-02       Impact factor: 1.737

2.  When you don't develop your own: validation methods for patient classification systems.

Authors:  M A Williams
Journal:  Nurs Manage       Date:  1988-03

3.  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

4.  Setting nursing hours standards. Part 1.

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

5.  A time study of staff and student activities in a level II fieldwork program.

Authors:  B F Burkhardt
Journal:  Am J Occup Ther       Date:  1985-01

6.  Building a classification system that works.

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

7.  Acuity classification in the urgent care setting.

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

8.  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

9.  Patient classification systems: the ideal vs. reality.

Authors:  R R Alward
Journal:  J Nurs Adm       Date:  1983-02       Impact factor: 1.737

10.  Patient classification. Illness acuity and nursing care needs.

Authors:  S F Pardue; C T Dick
Journal:  J Psychosoc Nurs Ment Health Serv       Date:  1986-12       Impact factor: 1.098

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  3 in total

1.  A mathematical programming model for scheduling of nurses' labor shifts.

Authors:  Ebru Yilmaz
Journal:  J Med Syst       Date:  2010-04-27       Impact factor: 4.460

2.  Patient Dependency Knowledge-Based Systems.

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

3.  Automation of patient dependency systems.

Authors:  F Soliman
Journal:  J Med Syst       Date:  1998-08       Impact factor: 4.460

  3 in total

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