From Project-Based Health Literacy Data and Measurement to an Integrated System of Analytics and Insights: Enhancing Data-Driven Value Creation in Health-Literate Organizations
Abstract
:1. Introduction
2. Health-Literate Organizations Driving Empowerment and Health Equity
3. From Health Literacy Data and Measurement to Analytics and Predictions
4. Organizational Foundation for Analytical Work on Health Literacy
- Define the problem: identify the health literacy gap, problem, or challenge that, with the use of relevant data, will provide more insight to drive the right decisions or provide efficiency on how work can be carried out based on management buy-in and its direction.
- Problem-solving process: the team working on the defined health literacy problem breaks it down to workable steps to generate and translate the appropriate data to achieve the results.
- Relevant team of experts: a team including management, data scientists, data engineers, solution architects, and domain experts identifies the right data and works to translate the data to achieve results.
- Continuous improvement practices: the team embraces fail-fast continuous improvement practices to evaluate their success in translating data to achieve results.
- Obtaining right data: the team understands and obtains the appropriate health-literacy-related data that explain the health literacy problem to achieve results.
- Accessible software and hardware infrastructure: the organization secures infrastructure that supports health literacy data processing in a relevant and timely manner.
- Culture and resources: the organization embraces data insights, sponsors properly resourced teams, and prioritizes analytical development work with regard to health literacy.
5. Designing a Health Literacy Data Pipeline
- Ingest: extracting health literacy data from various sources, detecting what has changed, and move them from the source into a system where they can be stored and analyzed. Thus, there is a focus on data creation, transmission, and ingestion.
- Prepare: health literacy data come in different structures, sizes, and speeds. Data must be cleansed, normalized, and prepared before they can be stored. Thus, preparation includes data integration and staging.
- Analyze: transforming the raw health literacy data into actionable information. Data are processed to allow for ad hoc querying and exploration. Thus, this stage includes data inquiry to build models and experiments.
- Act: actionable outcome of the health literacy data pipeline, health literacy information is translated into insights. Thus, at this stage it is possible to pull actionable insights from the data that were collected, integrated, stored, cleaned, and processed. It might involve in-depth exploration and visualization to better understand the results.
6. Good Health Literacy Data Governance
7. Identifying the Barriers to Health Literacy Analytics Readiness
- Data quality: capture and integrate.
- Data utilization: grant access and deliver insight.
- Data literacy: deliver insight and act.
8. Conclusions
Funding
Data Availability Statement
Conflicts of Interest
References
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Sørensen, K. From Project-Based Health Literacy Data and Measurement to an Integrated System of Analytics and Insights: Enhancing Data-Driven Value Creation in Health-Literate Organizations. Int. J. Environ. Res. Public Health 2022, 19, 13210. https://doi.org/10.3390/ijerph192013210
Sørensen K. From Project-Based Health Literacy Data and Measurement to an Integrated System of Analytics and Insights: Enhancing Data-Driven Value Creation in Health-Literate Organizations. International Journal of Environmental Research and Public Health. 2022; 19(20):13210. https://doi.org/10.3390/ijerph192013210
Chicago/Turabian StyleSørensen, Kristine. 2022. "From Project-Based Health Literacy Data and Measurement to an Integrated System of Analytics and Insights: Enhancing Data-Driven Value Creation in Health-Literate Organizations" International Journal of Environmental Research and Public Health 19, no. 20: 13210. https://doi.org/10.3390/ijerph192013210