Development of a digital dashboard to address population-level obesity using electronic medical record data

(1) To safely extract electronic medical record data to co-produce a population health informatics dashboard for obesity. (2) To explore how a population health informatics dashboard for obesity might be translated into routine public health practice.

This mixed methods study was conducted in Queensland, Australia, with stakeholders (n = 27) according to the Three Horizons Framework for Digital Health Transformation. Horizon 1 established the digital infrastructure necessary for accessing routine electronic medical record data from inpatient, outpatient, emergency, and community encounters. Horizon 2 co-produced user requirements for a population health informatics dashboard and developed a proof of concept. Horizon 3 conducted usability testing to explore the theoretical feasibility of integrating the dashboard into practice.

The Queensland Healthy Weight Dashboard is an interactive visualisation platform for obesity surveillance capable of using near-real-time electronic medical record data. We developed a proof of concept using a synthetic sample of 726,561 patients. Once commissioned, the dashboard will display aggregate, non-identifiable data from a total sample of >1 million patients with a measured body mass index across 71 facilities in Queensland, including 19 health services and at least 71 individual facilities that use the integrated electronic Medical Record. The dashboard can display near real-time (quarterly) data via descriptive analytics to (1) identify total raw counts and normalised values, (2) longitudinally track data, and (3) geographically heatmap obesity, overweight, and healthy weight rates, and stratify by time (2016-2022), gender, age (2-99 years), and location (geographical area, facility). Usability testing with public health practitioner end-users (n = 4) revealed above-average overall usability but mixed task-based usability. Practitioners were optimistic about integrating the dashboard into routine practice.

We co-produced a population health informatics tool for obesity that can display hospital electronic medical record data in near real-time. With further validation and usability improvements, this tool can be translated into public health practice to guide obesity interventions.