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Vikas David Product Manager & Solution Architect Global Health Measuring outcomes clearly: Overcoming challenges of mental health and chronic disease reporting.

Vikas David - HISA David Product Manager & Solution Architect Global Health Measuring outcomes clearly: Overcoming challenges of mental health and chronic disease reporting

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Vikas David

Product Manager & Solution ArchitectGlobal Health

Measuring outcomes clearly: Overcoming challenges of mental health and chronic disease reporting.

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The challenge

• To report on data from various locations across Australia– Client demographics, services provided, alcohol & drug use, diagnosis, etc.

• Format of the reports – unknown

• Support Federal & state programs– ATAPS, MHNIP, PIR, etc.

• Report on mental health outcome measures– All of them! (HoNOS, LSP-16, DASS-21, K10, EPDS, etc.)

• Cost <– Initial and ongoing

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Reporting Requirements

• Measure client satisfaction– against programs and staff providing the service, age group, improvements over years…

• Measure staff productivity– Case loads vs complexity vs nature of service

• Analyse referral base– over the last 10 years, view trends

– Visualise “areas of need” based on referrals

• Monitor and get insights into service delivery

• Measure health outcomes

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Why have a data warehouse?

• Performance

• Access to historic data that no longer exists in your operational database

• Aggregated data with the option to drill-down

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Where does data warehousing fit in?

Operational DB

(Relational)DWH

(Dimensional)

OLTP System

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Technology used for the Data warehouse

• Extract tool– Custom built vs 3rd party e.g. SSIS (SQL Server Integration Services)

• Transport– FTP/Web services (if data resides in multiple sources & locations)

• Transform & Load– Server-end using SSIS

• Data warehouse database– SSAS (SQL Server Analysis Services)

• Visualisation– Agnostic (e.g. MS Excel© or Tableau©)

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Extracts for Federal programs

NOCC

ATAPS

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Adding context to trends

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Learning

• Changing the user mindset to explore & analyse

• Knowledge transfer

• New concepts like slowly changing dimensions

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Where does big data fit in?

Big data

store

Operational DB

(Relational)DWH

(Dimensional)

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The possibilities…

• Identify areas of need.

• See how far clients need to travel

• Drill down to referral reason to see the scarcity of a specialist or allied health provider in the area

• View the density of referral flow between regions indicating if its a common occurrence.

Thank you1300 723 938 | www.global-health.com | [email protected]