HealthStats NSW: Turning data into user-centred population health information

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1 HealthStats NSW: Turning data into user-centred population health information Michael Nelson, Helen Moore, Rhydwyn McGuire, Danushka Fox & Mark Cerny HealthStats NSW Centre for Epidemiology and Evidence NSW Ministry of Health October 2015

2 Overview HealthStats NSW purpose and features Technology brief User-centred design process; Data /information flows; Implementation Live demonstration with scenarios

3 What is it? Web application developed as a one-stop-shop and single source of truth for population health indicators.

4 One-stop shop Supply of large amounts of timely administrative health data in standardised platforms and formats Demand for more timely, sensitive and specific performance data across the health continuum Many and various topic-based hard copy reports impossible to produce in a timely way at a great enough depth Expensive analytical resources used for publishing instead of statistical analysis

5 One-stop shop for NSW Designed to cover the care continuum and a wide range of services Uses population-based datasets [These are dynamic!] Wide range of user groups NSW health system, Primary Health Networks and Local Government, other government agencies, researchers, students, clinicians, media, general public. Designed for users to find specific information based on topics, population groups or location (geographic or facility).

6 Single source of truth

7 Single source of truth There are indications that the prevalence of overweight and obesity in children is stabilising, and may be showing early signs of improvement with a 1.7% reduction between 2010 and 2014, from 23.2% to 21.5%. However, the rate is still high and remains a cause for concern.

8 Overarching requirements Privacy Aggregate data Re-identification Community Stigma Releasing Health Information Legislative framework

9 Unusual Features Multiple data sources Standardised presentation Global search and discovery(and browser driven) Indicator visualisation is Data and text. Customisable report from all content. Lots of content in a single place!

10 HealthStats NSW: User-centred Design Process: Advantages: Powerful tool for engaging end users in technological changes and business sponsors in understanding what they are funding; Powerful tool to assist business in understanding needs of different end user groups and prioritising user groups and changes; Disadvantages: Consultation, engagement, prototyping and testing with end users during the design process creates expectations which need to be managed!

11 HealthStats NSW: UX Design Process: Personas

12 Statistical Analytics Two system solution SAS to create text files of results ETL to a single data cube MDX queries to extract pre-defined subsets of data ( Indicator Views ) Indicator Calculation (SAS-based routines) Reporting and Analytics (Microsoft BI software)

13 Example: Hospitalisations SAPHaRI [Data warehouse] Unit Record Data SAS / SQL server Shared workspace Combined Admitted Patient Epidemiology Data Population Data Indicator Definition Aggregate by Demography Age-standardised rates Statistical Analysis (SAS) Format for ETL into BI Database / Cube Web Admin UI View Configuration Text entry Topic maintenance

14 Security and Privacy All statistical results precalculated and approved for publication / release Internal systems are behind the Departmental firewall Unit record data stored on highly secure internal systems Indicator Calculation (SAS based routines) Reporting and Analytics (Microsoft BI software) Data stored on publicly facing servers have been screened for privacy

15 Presentational flexibility All graphs, maps and tables are rendered by the web application Text content and metadata managed with relational databases Topic / Location Explorers allow grouping for ease of search MyReports Feature customisable PDF reports from content

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18 Conclusions Successes: One-stop shop Single source of truth Responsive Challenges UX design with old backend Redesign back-end Update visualisations Text is hard! a new CMS

19 Acknowledgements Co-authors Helen Moore, Danushka Fox, Rhydwyn McGuire, Mark Cerny The team behind HealthStats at MOH Epidemiology and Biostatistics Unit Population Health Information System Evidence and Evaluation Branch