Using Data to Evaluate Service Delivery in Allied Health
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1 Using Data to Evaluate Service Delivery in Allied Health Organisation Name: South Eastern Sydney Local Health District (SESLHD) Presenter: Matthew Webb (Allied Health Educator & Data Manager) HRT 1520 Innovations Workshops and Awards November 2015, Sydney
2 2 Key problem: Lack of organisational intelligence in Allied Health clinical intervention despite years of data Aim of Innovation: To build an interface with to offer fast and informative information Baseline data/ Current situation: 4 Years of data in separate month by month excel files requiring sound understanding in data analysis to evaluate effectively Changes implemented : An Allied Health Dashboard has been designed with QlikView in an intuitive format Outcomes: Allied Health Managers and Clinicians can now quickly and intelligently review patient treatment data to: Have evidence to change the structure of their departments due to internal & external factors (eg seasonal trends, staff leave) Allow managers and clinicians to quickly and intelligently evaluate their services. Give clinicians the power to substantiate further investigation of a quality improvement activity simply Presenter name: Matthew Webb Contact matthew.webb@sesiahs.health.nsw.gov.au Health Service: SESLHD
3 3 Key Problem Allied Health clinicians have routinely collected data on every patient contact. Data is extracted into individual monthly files Single month snapshots are generally not useful to services or clinicians. Data needs to be compiled to effectively evaluate The majority of computers available are unable to manage more than 6 months of data in an analysis When significant effort gives no relevant results or none at all due to processing power of technology, clinician engagement drops.
4 Aim of this innovation To give clinicians/managers the opportunity to Quickly and intelligently evaluate data for across a LHD, facility or specific clinical area. Answer basic questions from clinicians without increased hassle of compiling multiple files. To reduce duplication in analysis for staff. Generate discussion between and within sites & clinical teams to develop hypotheses for further evaluation. To quickly provide baseline data and the ability to monitor change easily. 4
5 5 Baseline Data / Current Situation Staff are having to use difficult methods to derive answers to simple service management questions This involves compiling multiple files which can take upwards of 30 minutes for 6 months They rely on training and manuals to guide them through the process of data evaluation Current data training is a well developed package, but unless the skills are used regularly, staff have to re-learn the process.
6 Key Changes Implemented Development of an online interface that presents data logically. Follows a storyline to improve the relationship between data and clinical practice for disciplines across 7 hospitals, through to a single site and clinical area Intuitive design led to on-the-fly training for navigation (No training materials required!) 6
7 Key Changes Implemented
8 8 Outcomes so far Improved clinician engagement with data: More frequent service reviews Evaluation of clinical assessment, management and treatment time (the who, what, when, where) Develop questions for quality improvement activities Improved access to managers Monthly updates on departmental service provision Easy to review patterns in data (eg seasonal requirements, extended staff absence) Provides another aspect of evidence to implement change in practice
9 Lessons Learnt Interface design takes time to design and refine Review interfaces from the Ministry of Health and other LHD s If funding is available, consider contracting external consultants who specialise in the software When considering linking multiple data streams, establish the depth of the relationships so end users know it s limitations 9
10 Contact for this Innovation For more information Contact: Matthew Webb Allied Health Educator & Data Manager Tel:
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