Evidence Review for AI-Assisted Age-Friendly Environments (Readvertisement)

WHO is seeking a qualified, eligible and competent proposer for the Evidence Review for AI-Assisted Age-Friendly Environments (Readvertisement) The review will support WHO's work to frame, test and communicate how artificial intelligence can help scale proven age-friendly practices through coordinated, accountable action. For this assignment, an AI-assisted age-friendly environment is understood as a human-governed operating model that uses AI-supported data integration and decision support to help communities detect risks earlier, connect older people to appropriate supports, allocate resources fairly, and learn continuously from outcomes. AI is not the intervention itself rather it serves as a coordination layer over prevention, social prescribing, integrated care, age-friendly planning, environmental risk reduction and community-based support. The review should take a broad scoping approach to identify relevant evidence and examples on AI-assisted approaches that support healthy ageing, age-friendly environments, prevention, community-based support, integrated care, social prescribing, environmental risk reduction, and data-informed planning. The four-layer concept developed by WHO WPRO should be used as an initial analytical framework to organize and interpret the evidence, rather than as a restrictive eligibility criterion. The review should also identify relevant evidence or use cases that do not fit neatly within the current framework and advise whether the framework should be refined. The provisional analytical layers are: Layer 1: Place and Environmental Intelligence — AI-supported use of geospatial, climate, built-environment, environmental and service-access data to understand place-based risks, inequities and planning priorities. Layer 2: Individual Change Detection — AI-supported use of opt-in, low-burden individual or household-level data, such as wearables, sensors or other digital signals, to detect meaningful changes in function, wellbeing, risk or support needs. Layer 3: Community Response and Navigation — AI-supported tools or decision support that help human actors connect older people to appropriate health, social, community or environmental supports. Layer 4: Integration, Governance and Learning — AI-supported data integration, dashboards, analytics or decision-support systems that help policymakers and service managers allocate resources, monitor equity, assess outcomes and improve accountability. The review is expected to assess the maturity of existing evidence, identify implementation and governance gaps, and propose priority areas for further testing, policy development or partnership in the Western Pacific Region.

This is a readvertisement of WHO Bid Reference No. WPRO/DAF/SAO/SUP/P/0009354. Suppliers who have already submitted proposals under the original solicitation are not required to resubmit their offers.

Instructions for Submission of Proposals:

• Submit proposals no later than 21 August 2026, 11PM, GMT +8.
• Proposals should be submitted through the WHO e-Tendering Platform (In-Tend).
• If you experience technical difficulties uploading your proposal, please submit it to wproungm@who.int
• Please quote “WPRO/DAF/SAO/SUP/P/0009458” in the subject line of all related correspondence.