社区健康工作者

Smartphone AI technologies could advance the capabilities of community health workers by empowering them to screen for a variety of medical conditions. Since the analysis is fully automated by AI, these platforms could be readily deployable and user-friendly, requiring minimal training.

AI improves CHW workflows by predicting patient needs, automating visit schedules, and generating personalized care prompts. Community health workers in remote or low-resource settings often juggle multiple responsibilities without adequate tools.

Community health workers (CHWs) are defined as individuals who deliver health services and act as agents of change within their communities, inspired by the model of China's ‘barefoot doctors’ and significantly expanded following the adoption of primary health care policies by the World Health Organization in 1979. AI ...

The digital health–enabled community-centered care model’s artificial intelligence (AI)-enabled cybernetic platform. CHW: community health worker.

Artificial intelligence holds major promise to alleviate some of the burdens health workers face. But first, it will have to overcome persistent challenges of access, scale, and sustainability, according to experts. By Michael Igoe // 23 May 2025 · Global health is in crisis, with severe budget ...

Studies show AI can support frontline care. One U.S. health system found that when CHWs helped collect and structure data, it improved their hospital readmission predictions by 5% (DePaul Newsroom, 2024).

ClickUp and Pear Suite are among the best AI tools for community health workers. ClickUp helps manage outreach projects, track patient follow-ups, and streamline reporting. Pear Suite uses AI technologies to map community health needs, automate ...

In parallel to the roll-out of the C-EMR, the Rwandan Government began exploring the value of AI-enabled tools for improving community health care quality. "This study will offer crucial insights on how integrati​​ng an LLM into community health workers’ workflow could improve their decision-making capabilities by providing real-time, context-specific, and evidence-based guidance.

Called AIRA, this tool for community health workers is powered by large language models trained on data from the health systems in low and middle-income countries. It assists users by automating the collection of patient data, including symptoms and history, aggregating population-level insights, as well as supporting clinical protocol adherence and providing decision support.

Employing a bottom-up approach made the SMARThealth GPT chatbot culturally relevant and well-suited for use by the ASHA workers. Co development was crucial to identify real problems and needs and develop an appropriate technological solution ...