Project Details
Description
Diagnosis-Related Groups (DRGs) enable hospitals to be paid for the number and mix of patients they treat by reducing a large number of individual hospital patients into manageable and meaningful groups. This project examined the use of DRGs across six hospital sites in New South Wales to identify profiles of pathology requesting including test volume utilisation, test turn-around times, variation between clinicians, repeat testing rates and careset utilisation. Statistical and economic modelling was used to establish the relationship between the pathology requesting profiles and patient outcomes (e.g. length of stay in hospital, phlebotomy episodes, rates of re-admission); and resource utilisation. These indicators can be used as performance benchmarks when comparing between hospitals, and when examining temporal factors such as time of day, day of week or season, to monitor and enhance the quality use of pathology. The outcomes of this report have the potential to benefit a wide range of stakeholders within the healthcare system.
Aims
1. Examine the use of Diagnosis-Related Group (DRG) and International Classification of Disease (ICD) codes to identify profiles of pathology requesting and compare performance across hospital and clinician levels.
2. Undertake statistical and economic modelling to establish the relationship between pathology requesting profiles and patient outcomes (e.g. length of stay in hospital, phlebotomy episodes and rates of hospital re-admission); and resource utilisation.
Project Sponsors:
Australian Government Department of Health Quality Use of Pathology Program Grant.
Other members and collaborators:
Mr Elia Vecellio
Professor Roger Wilson, Executive Unit, NSW Health Pathology, NSW, Australia
A/Professor Robert Lindeman, South Eastern Area Laboratory Services, NSW Health Pathology, NSW, Australia
Dr Michael Golding, Prince of Wales Hospital Emergency Department, Randwick, NSW, Australia
Aims
1. Examine the use of Diagnosis-Related Group (DRG) and International Classification of Disease (ICD) codes to identify profiles of pathology requesting and compare performance across hospital and clinician levels.
2. Undertake statistical and economic modelling to establish the relationship between pathology requesting profiles and patient outcomes (e.g. length of stay in hospital, phlebotomy episodes and rates of hospital re-admission); and resource utilisation.
Project Sponsors:
Australian Government Department of Health Quality Use of Pathology Program Grant.
Other members and collaborators:
Mr Elia Vecellio
Professor Roger Wilson, Executive Unit, NSW Health Pathology, NSW, Australia
A/Professor Robert Lindeman, South Eastern Area Laboratory Services, NSW Health Pathology, NSW, Australia
Dr Michael Golding, Prince of Wales Hospital Emergency Department, Randwick, NSW, Australia
| Status | Finished |
|---|---|
| Effective start/end date | 1/11/14 → 1/09/15 |