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Nursing information systems: a survey of current practices
J A Vassar1, B Lin, N Planchock
1Department of Management and Marketing, College of Business Administration, Louisiana State University-Shreveport, USA.
Topics in Health Information Management
|October 28, 1999
Summary
Computer-based nursing information systems (NISs) are useful to most nurses. Factors influencing their assessment and usefulness were identified, offering insights for nursing care management and research.
Area of Science:
- Nursing Informatics
- Health Information Systems
- Healthcare Management
Background:
- Computer-based nursing information systems (NISs) are increasingly integrated into healthcare.
- Assessing the perceived usefulness of these systems is crucial for effective implementation and adoption.
- Understanding user perceptions guides future system development and training.
Purpose of the Study:
- To evaluate the overall usefulness of computer-based NISs among nurses.
- To identify factors contributing to nurses' positive or negative assessments of NISs.
- To explore variables influencing the perceived utility of NISs in clinical settings.
Main Methods:
- A survey was conducted among nurses to gather data on their experiences with computer-based NISs.
- The survey addressed specific research questions regarding system usefulness, assessment factors, and influencing variables.
- Statistical analysis was employed to interpret the survey findings.
Main Results:
- The survey indicated that computer-based NISs are generally perceived as useful by the majority of nurses.
- Key factors influencing nurses' assessments and the overall usefulness of NISs were identified.
- The findings provide a framework for understanding NIS utility in hospital environments.
Conclusions:
- Computer-based NISs offer significant benefits to nursing practice when effectively implemented.
- Understanding the factors influencing nurses' perceptions is vital for optimizing NIS use and improving nursing care management.
- Further research into nursing information systems can enhance quality of care and identify future opportunities.