Thanks to the generous support and in-kind contributions from our partners, DAC-SP is initiating a U.S. Fellowship Program. This program will focus on improving rates of early detection in primary care settings through seed funding, implementation coaching based on the Early Detection Blueprint, and participation in monthly Community of Practice meetings. The blueprint is a digital, practical tool that provides an operational roadmap designed to help streamline the adoption of best practices in brain health and Alzheimer’s care, connect proven solutions, and strengthen healthcare systems for better patient access. The U.S. Fellowship Program will evaluate the existing blueprint with the aim of creating a U.S.-focused version at the end of the program.
The RFI Application is now closed, thank you for your submissions. Applicants will be notified of their status by Monday, September 16th.
Sites: Up to 10 U.S. Health Systems Representing Diverse Populations
Settings: Primary Care Settings
Seek out and collaborate with diverse health systems committed to the adoption and sustainment of early detection programs in primary care.
Provide up to 250k in funding for the key elements of early detection, providing training and technical assistance to enhance these programs for up to 10 U.S. sites.
Develop and implement a compelling curriculum for training and technical assistance rooted in the DAC Early Detection Blueprint through an interactive Community of Practice.
Analyze the Blueprint's impact on the planning and nascent stages of early detection programs, iterating to forge a U.S.-adapted version that will catalyze the expansion of these programs throughout the country.
Sites will participate in a monthly Community of Practice (CoP) to promote and capture pragmatic peer-to-peer learnings.
As part of this CoP, the DAC team will evaluate the blueprint and aim to create a U.S.-specific version based on what is learned from this program. This Blueprint will be open source and freely available to any site seeking to implement the program
Photo Caption: Homepage of the Early Detection Blueprint by DAC-SP
DAC-SP is seeking applications from US healthcare systems interested in implementing the Early Detection Blueprint for Cognitive Impairment as a clinical workflow improvement project. Please note that up to 10 U.S. healthcare systems will be selected to participate in this multisite, implementation program. DAC-SP will use the information provided by healthcare systems to select program sites.
Healthcare systems will be selected to participate in the U.S. Fellowship Program based on their interest, readiness, and suitability for implementing the blueprint. DAC-SP will consider a broad range of factors in site selection to help ensure diversity of participating healthcare systems, including geographic regions, health system type, and populations served.
Note: “Healthcare systems” in this program are defined as an organization of people, institutions, and resources that delivers health care services to meet the health needs of target populations. This could include hospitals, private practice, Federally Qualified Health Centers, etc.
The US Fellowship Program is being generously supported through funds by a combination of philanthropic and private entities with the shared goal of improving the rate of early detection and accurate diagnosis of Alzheimer’s disease. DAC-SP is intending for projects to be quickly executed and communicated. The total available grant for a selected project site to implement the U.S. Fellowship Program is $250,000 USD. The grant is intended to cover expenses for using and evaluating the Early Detection Blueprint, attending monthly Community of Practice meetings (virtual), providing a final report by Q1 2026, and supporting dissemination plans.
Please review all instructions and questions within the RFI. Maximum character lengths are included at the bottom right of each answer box, but brevity is encouraged. The RFI Questionnaire is comprised of both written response and multiple choice questions, and is split into 4 sections. We recommend completing the form in one sitting to avoid responses not being saved.
Please submit your completed RFI response no later than Sunday, July 28th at 11:59 pm (EDT). The RFI Application is now closed, thank you for your submissions. Applicants will be notified of their status by Monday, September 16th.
RFI Questionnaire
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This will take approximately 45-60min to complete. Please ensure all your answers are input correctly before submitting.
The RFI timeline is outlined below. Dates may be modified or amended by DAC-SP, please continue to check this page for any changes.
Applicants may be asked by DAC-SP for additional information or clarification on their responses during the RFI review and evaluation period. Applicants will be notified of their status by Monday, September 16th.
DAC-SP will hold 4 designated Office Hours (4 hours each) for applicants to discuss additional questions that arise while preparing the RFI response.
If you have any questions about this RFI, please direct them to the RFI Contact:
Name: Bao Tran Nguyen
Email: tnguyen@highlanterngroup.com and
cc: inquiry@davosalzheimerscollaborative.org
Launched at the World Economic Forum’s 2021 meeting on The Davos Agenda, The Davos Alzheimer’s Collaborative is a multi-stakeholder partnership committed to aligning stakeholders with a new vision for our collective global response against the challenges Alzheimer’s presents to patients, caregivers, and healthcare infrastructures. Convened by The World Economic Forum and The Global CEO Initiative on Alzheimer’s Disease (CEOi) and fueled by a mission of service to the estimated 150 million families and half a billion people inevitably impacted by this disease by 2050, DAC is a collaborative for the benefit of all people, in all places.
The Davos Alzheimer’s Collaborative Healthcare System Preparedness (DAC-SP) Program addresses the readiness of our healthcare systems worldwide for a global aging population, with an initial focus on improving rates of early detection and the timely and accurate diagnosis of Alzheimer’s disease. DAC-SP applies implementation science methods to turn research breakthroughs into lasting improvements in clinical practice. To accelerate and scale the delivery of cutting-edge treatments and innovations globally, DAC-SP shares learnings and best practices through Learning Laboratory meetings and its Early Detection Blueprint. In collaboration with our partners around the world, DAC-SP serves as a catalyst for transformative improvement within healthcare systems.
DAC-SP Early Detection Program was initiated in 2021 across seven healthcare system flagship sites in six countries (Brazil, Jamaica, Japan, Mexico, Scotland, and two US sites). The goal was to enhance early detection of cognitive impairment in primary care settings through implementing digital cognitive assessments and a blood-based biomarker test. Over two years, site leaders regularly collaborated on operational and clinical challenges, potential solutions, and co-designed the Early Detection Blueprint for Cognitive Impairment (“blueprint”).
The blueprint is a digital, practical tool that provides an operational roadmap designed to help streamline the adoption of best practices in brain health and Alzheimer’s care, connect proven solutions, and strengthen healthcare systems for better patient access. It synthesizes key learnings, insights, and resources for implementation strategies captured in interviews, workshops, and discussion by a Community of Practice. The blueprint can be used with any cognitive tool, is web-based, and is free and open access to all. It contains 3 customizable modules: 1) plan, 2) implement, and 3) monitor and evaluate. The blueprint equips healthcare systems, providers, and administrators with structured goals and actions to develop an early detection program that reflects the policy environments, capabilities, and resources of their local settings.
By sharing and implementing the blueprint, DAC-SP aims to strengthen healthcare system readiness for brain health and Alzheimer’s disease care. It is adaptable for different workflows and cultural contexts, is product- and tool-agnostic, and built for all resource levels.