States can utilize data to steer health enhancement strategies

In a bid to improve the delivery of technical assistance (TA) to states, the Association of State and Territorial Health Officials (ASTHO) has implemented a data-driven approach that has proven to be highly effective.

The strategy begins with the utilisation of interactive online platforms and whiteboards to capture insights from state efforts. This data is then analysed using a qualitative data analysis process developed by ASTHO, allowing states to make use of their own raw data.

ASTHO has also created an online dashboard to centralise and manage state-specific data. This dashboard has proven instrumental in refining resources, fostering connections, and delivering tailored presentations to each state.

The ASTHO Learning Labs provide a platform for states to exchange strategies and learn from one another's successes and challenges. These labs are designed to address key public health challenges by focusing on community partnerships, workforce development, and policy transformation.

Regularly collecting qualitative feedback from stakeholders can capture emerging trends and shape the development of TA initiatives. States can gather this feedback through community focus groups, surveys, town halls, and partnerships with community-based organisations.

Leveraging AI to analyse qualitative data can identify trends and help shape the development of TA initiatives. This approach has been particularly useful in analysing the OT21-2103 grant to identify recurring themes in state-submitted workplans.

The data-driven approach has significantly improved TA delivery and outcomes. It has increased responsiveness to state-specific needs and improved scheduling and execution of TA events. ASTHO has also developed an internal framework to align TA activities with its board-driven strategic priorities.

Implementing a user-friendly data visualization platform for centralising and analysing information can further inform the development of relevant products and services. States can adopt a similar approach by developing data hubs that centralise their data management efforts.

The data dashboard facilitates the identification of states with shared priorities, enabling targeted invitations to ASTHO Learning Labs. It also facilitates the storage, filtering, and analysis of information, enhancing coordination and accessibility.

Moreover, the data dashboard was instrumental in organising learning communities, peer-to-peer sessions, and one-on-one coaching by matching states with similar interests. This has fostered a collaborative environment where states can learn from each other and share best practices.

In a related development, the Subgroup on Semantics, in collaboration with the eHealth Network and national health authorities including Germany's BfArM, developed an internal framework for the strategic alignment of technical health data aids. The focus was on semantic interoperability and standardisation to enable secure and interoperable cross-border exchange of health data within the EU. The priorities defined were the development of code systems, semantic interoperability, and language-independent data coding and exchange to support patient data access across Europe.

Continued investment in data dashboards and AI technologies can further enhance TA planning and offer deeper insights into state needs. This data-driven approach is set to revolutionise the way public health TA is delivered, ensuring a more responsive and effective service for all.

States can utilize data to steer health enhancement strategies