6 YEARS OF WORKING WITH THE HEALTH ROUNDTABLE
Hospitals around the world are always focused on improving performance, better outcomes and improved patient safety. However, in order to continually improve an innovate hospitals need to understand, via a collaborative network, how they compare to others and where to go to find solutions to their problems. Public Hospital performance summaries and league tables do not fulfil this purpose as this is benchmarking for accountability rather than innovation – therefore how can hospitals ‘Benchmark for Innovation’?
The Health Roundtable network has existed for 23 years and fills this gap by benchmarking and looking for differences in hospital performance, helping to identify exemplars and drive improvement.
EVALUATION OF MEDICAL ASSESSMENT UNITS IN NSW
NSW have used a Medical Assessment Unit (MAU) model of care since 2007. The stated intent of a MAU is to provide a model of care for undifferentiated, complex, chronic, non-critical, most often elderly, medical patients. And preliminary analysis from 2011 showed that the MAU was successful in reaching the target patient cohort and in improving the timeliness of care provision. However NSW Health wished to know whether this trend was continuing and were struggling with the best way to achieve this.
Our team worked on a data specification and collected 8 years of ED and MAU data (along with qualitative information from surveys and site visits) from across NSW to examine the key achievements of MAUs and examine whether the continued investment in MAUs was delivering value for money.
PREDICTIVE MODELLING AND STRATEGIC PLANNING FOR A QLD HHS
Key questions that major hospitals within health economies ask are: Do I have the right bed mix, and are my beds used to capacity? In addition, to plan for the future, they need to know what beds they need to meet realistic demand scenarios. However operational requirements often get in the way of strategic planning of future investments and therefore health economies often need external support to answer these questions.
A diagnostic of current flows, together with predictive analytics with input parameters controlled by demand scenarios can help explore underlying constraints and help develop a productivity strategy that safeguards performance.