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REPORTING IN PRIMARY CARE CHRIS WOOD, GENERAL MANAGER SYSTEM - PowerPoint PPT Presentation

REDUCING THE BURDEN OF REPORTING IN PRIMARY CARE CHRIS WOOD, GENERAL MANAGER SYSTEM OUTCOMES SOUTH EASTERN MELBOURNE PRIMARY HEALTH NETWORK The problem Commonwealth Government introduced an extensive minimum data set for all PHN funded


  1. REDUCING THE BURDEN OF REPORTING IN PRIMARY CARE CHRIS WOOD, GENERAL MANAGER SYSTEM OUTCOMES SOUTH EASTERN MELBOURNE PRIMARY HEALTH NETWORK

  2. The problem • Commonwealth Government introduced an extensive minimum data set for all PHN funded mental health services across the country • Service providers • Rarely experienced with data collection and their IT and data management skills are very low • Usually do not have systems in place to support this particular data collection • Do not always see the value of collecting these data – have never had any feedback • The PHN • PHNs are required to provide these data to the Commonwealth • PHNs have limited resources ($ and people) • Data collection is new and staff have limited experience in data collection approaches

  3. The MDS • A relational data model with six tables • Provider Organisation (the organisation) • Practitioner (the individual providing the service) • Client (mostly demographic) • Episode (about the whole period of care for the client) • Service Contact (the individual session) • Outcomes Collection Occasion (the client’s clinical outcomes using one of three tools) • Most tables are collected once, but the service contact with 17 data items to be collected every time a clinician has a clinical interaction with a client • All linked by the organization path

  4. The challenge • To develop an approach to the capture, transfer, storage, management, analysis, and reporting of mental health data • That: • Clinicians can understand and input valid and correct information • That meets the PHN’s reporting requirements • That can be used to provide • Options: • Buy an off the shelf product • Engage someone to do it for us • Do it ourselves • Constraints: • Very short development time • Very limited funding and capacity • Unknown and changing rules (data elements, business rules, definitions)

  5. The approach • Needed not only the most technically sound solution, but also one that would be used and provide high quality business information • Executive wanted • Value for money • High quality and timely reporting • Flexibility and optionality • Happy, engaged, capable staff • Principles • Let clinicians get on with their job – data collection is our problem, not theirs • KiSS • Open source (where possible) • More cost effective • More flexible and customisable • BUT greater learning curve (requires time and talent)

  6. The solution • Rather than talk about it, we thought we’d show it to you...

  7. The Solution

  8. The outcome • Developed new skills – SQL, Python (incl Flask, Jupyter, pandas), d3, git • Can change things easily to respond to new requirements • Can automate the boring stuff • Automatically check monthly data submissions for each provider contract (used to take the provider, contract manager, data team and finance team significant time) • More accurate, errors picked up more quickly, data is more meaningful • Providers received reports for the first time and started to see the benefit of the data • The PHN could monitor and manage provider performance and make informed business decisions • Department received higher quality data

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