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NSW HealthNSW Health – the New South Wales Government Department responsible for the provision of public health services throughout Australia’s most populous State – is progressively reforming its information systems as part of an ongoing wider program to raise the overall quality of health care.
Background The Department’s service infrastructure comprises 230 public hospitals in eight geographic Area Health Services, together with many other radiology and specialist departments and independent units. During 2004-05, NSW hospitals, including emergency departments, admitted some 1.3 million bed-allocated patients and treated or otherwise addressed about 10 times that number of non-admitted patients. As part of the progressive reform of its information systems the Department embarked, in 2005, on a series of initiatives designed to improve the flow of information for what the department calls its “front line” – the more than 55,000 nurses, doctors and others who look after patients around the clock. For these busy professionals, accurate and timely information is vital if the wards are to operate at optimum efficiency and the highest possible standard of care.
Performance
Management
The decision to select SAS Strategic Performance Management was arrived at through a process whereby Performance improvement programs underway throughout NSW Health were evaluated. The strong level of success and sophistication of the Hunter New England Balanced Scorecard Program emphasized both SAS' technical completeness and the type of commitment required to deliver the new program. In considering the technical requirements for the program, NSW Health also sought to ensure the Business Information Strategy Pilot deliverables could be elegantly integrated with other critical performance initiatives. SAS Strategic Performance Management fitted all these criteria. As Tony Dunn explains, “This is a very big and complex organisation. We have lots of data systems and lots of different information systems. It is a very disparate environment, and this has made it difficult to deliver quality information to the front line in a timely manner.” WAND was first deployed as a proof-of-concept project – one of a dozen such – and was found so successful in those first few wards that the word quickly spread and Tony Dunn’s team is being pressured to industrialize it and provide it across the State. Outlining the background, he said, “The wards were dependant on manual processes – whiteboards, post it notes, pagers – being fed by information from numerous sources which, when they received it, was already a day or more out of date. “Worse, whiteboard writing gets accidentally rubbed out, old information can be overlooked, pagers don’t get answered – there is lots of potential for mistakes. “The majority of the information the wards need was there electronically but it was on numerous, non-integrated systems – some of them very old. “The reports the wards were getting were based on information that was often too old to be worth correcting if it was wrong and too late to act upon for things like optimum bed allocation and the scheduling of doctors for pre-discharge procedures. “This could easily mean a patient might be kept in hospital a day longer than necessary, with all the inconvenience to the patient and wastage of Departmental resources that implies. At the other end of the process – admissions – staff can now see when a patient is expected and prepare things accordingly.”
Eliminating
outdated
information One very tangible benefit of being able to plan ahead relates to the scheduling of ambulances. The cost of a NSW ambulance journey is significantly discounted if it is scheduled with 24 hours notice and, thanks to WAND, this is now much more commonly the case. The proof-of-concept solution was a dashboard – displayed on a large screen in the middle of the ward – providing aggregated information from multiple sources and updated every 15 minutes. WAND is fed from the “listening” software specially developed by SAS to monitor the traffic on the Department’s own HL7 technology – Health Language communications protocol. This software monitors all the traffic passing backwards and forwards across the infrastructure and recognizes and grabs what it needs to present for display on the dashboard. Tony Dunn said this approach was very significant. “We no longer manually interrogate the various systems or replicate data in order to get the appropriate information and this is a huge advantage. “By avoiding interrogation we face much less risk of the systems being slowed down and therefore potentially crashing. And replication can be clumsy. “The approach is totally passive. It’s just listening to the data that is going around, picking up what it wants, and contributing it to the dashboard display. This is cost effective, low impact, high result.” Tony Dunn said the undertaking was complex with many difficult technical issues. “It wasn’t just plug-and-play, and SAS and Accenture must have found it very tough due to our tangled environment. “At the end of the day, what started out as a proof-of-concept is now something that, in the wards that are using it, has greatly improved patient flow with staff telling us how it provides for greater efficiencies. And there is pressure for us to roll it out, generally.” Tony Dunn and his team and the SAS and Accenture people who have played a part are naturally happy with the way things have turned out.
The
users
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Tony Dunn, NSW Health
Challenge:
NSW Health wanted to increase the flow of timely and accurate information to allow staff to operate at maximum efficiency.
Solution:
NSW Health used SAS Strategic Performance Management including data integration and aggregation tools to develop and deploy WAND - a tool for Nursing Unit Managers to oversee patients in their wards, and an operational dashboard for Hospital managers to help focus on critical issues. Both tools update the information from operational data sources every 15 minutes.
Benefits:
Eliminating NSW Health’s dependence on manual processes and inaccurate out-of-date information has resulted in increased efficiency, improved patient flow and the ability to schedule resources with optimal effectiveness.
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