Our approach to data science
We capture data for key indicators to inform quality of care. By using a feedback loop, we provide staff members, partners, and community members with timely access to data to continuously improve healthcare delivery.
Data science pillars
Tools for community health
We use a set of proven technologies to serve the needs of our Community Health Workers. Mobile applications focus on improving clinical decision making, targeting services to make Community Health Workers more effective and efficient, and enabling Community Health Workers to consult with their supervisors in real time.
Analytics for quality improvement
Using a state of the art analytics platform, we combine multiple datasets, including our Community Health Workers’ interactions with patients and health facility data from the national health information systems, into a single data warehouse. Using tools like Alteryx and Tableau, our analysts have transitioned from spending the majority of their time on data preparation to instead focus on discovering patterns in data and identifying areas where our approach can be changed through quality improvement initiatives.
Alignment for scale
We aim to develop consensus with the Ministry of Health and key partners on the selection of digital tools for Community Health Workers nationally. To begin the process, Integrate Health first aligned data and indicators with Ministries of Health. By using national data, we have designed our work for integration from day one. Our analytics team supports governments at the local, regional, and national levels with analysis to strengthen the use of data while also influencing policy decisions.
Our research
Integrate Health uses a feedback loop to disseminate data to staff members, partners, and community members to inform necessary program adjustments.