Data warehouse approach to nursing management

J Nurs Manag. 2007 Mar;15(2):155-61. doi: 10.1111/j.1365-2834.2007.00690.x.

Abstract

Aim: This article describes a data warehouse approach when designing an information system to meet nursing management needs in acute hospital setting.

Background: The rapidly changing health care environment has created new challenges for nursing leaders and requires appropriate, accurate and timely data for decision-making.

Method: Key aspects of current information needs were identified by a nursing expert group. A data warehouse-based Nursing Management Information System was produced and piloted in nine wards. A survey and interviews were conducted to evaluate the piloting.

Results: Data from the patient administrative system together with nursing rostering data and measures for nursing care intensity brought new opportunities for nursing management.

Conclusions: A Nursing Management Information System is suggested to be built using data warehouse model. Successful implementation of a Nursing Management Information System requires systematic data quality checks. An information analyst is essential for interpreting and communicating nursing data to multi-professional management groups.

Publication types

  • Evaluation Study

MeSH terms

  • Attitude of Health Personnel
  • Attitude to Computers
  • Computer User Training
  • Decision Making, Organizational
  • Education, Nursing, Continuing
  • Expert Systems
  • Finland
  • Hospital Information Systems / organization & administration*
  • Humans
  • Information Storage and Retrieval
  • Inpatients / classification*
  • Medical Records Systems, Computerized / organization & administration
  • Needs Assessment
  • Nurse Administrators / education
  • Nurse Administrators / organization & administration*
  • Nurse Administrators / psychology
  • Nursing Administration Research
  • Nursing Informatics / education
  • Nursing Informatics / organization & administration
  • Nursing Service, Hospital / organization & administration*
  • Outcome and Process Assessment, Health Care / organization & administration
  • Personnel Staffing and Scheduling Information Systems / organization & administration*
  • Pilot Projects
  • Planning Techniques
  • Total Quality Management / organization & administration
  • Workload