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Utilizing data to improve practice in hospital social work: a case study
I Ben Shahar1, G Auslander, M Cohen
1Department of Social Work, Sheba Medical Center, Tel Hashomer, Israel.
Social Work in Health Care
|January 1, 1995
Summary
This study shows how computerized information systems improve health care social work quality. Data analysis helps identify problems and guide professional interventions for better patient care.
Area of Science:
- Health care social work
- Quality improvement science
- Health informatics
Background:
- Health care social work aims to enhance service quality.
- Computerized information systems offer tools for quality assurance.
- Previous research highlights the need for data-driven practice improvements.
Purpose of the Study:
- To demonstrate the utilization of preliminary data from a computerized information system in health care social work.
- To focus on problem identification and professional interventions within social work practice.
- To outline a systematic process for applying data to improve service quality.
Main Methods:
- Case study approach detailing data application stages.
- Definition and validation of quality assurance issues.
- Hypothesis formation, in-depth analysis via case examples, and change strategy development.
Main Results:
- Preliminary data from computerized systems can effectively identify quality assurance issues.
- A structured process facilitates the application of data for practice improvement.
- Case examples illustrate the link between data analysis and targeted interventions.
Conclusions:
- Computerized information systems are valuable tools for quality assurance in health care social work.
- Systematic data application enhances problem identification and informs professional interventions.
- The described methodology provides a framework for evidence-based practice in social work.