EchoHer: Next-Gen Data for Women’s Health
Summary
In 2025, Surgo Health committed to scale EchoHer, an AI-powered decision support tool to help improve women’s health outcomes. This tool integrates data on the clinical, social, and behavioral health factors that influence women’s health, recognizing that women’s health outcomes are strongly influenced by factors external to the clinic like geography, access to care, and beliefs. Through this commitment, Surgo will partner with health care professionals to adopt this newly developed tool, which is designed to provide the needed breadth, depth, and specificity to advance whole-person care. Pilot implementations have already shown impact, positioning Surgo to scale EchoHer across health care sectors and inform services for 20,000 women in the United States in the first 24 months of expanded adoption and uptake.
Approach
Surgo Health commits to scale a platform, EchoHer, that integrates data on the clinical, social, and behavioral health factors that influence women’s health. The platform will provide stakeholders with actionable, condition-specific risk models to advance whole-person care. Pilot implementations have already shown impact, positioning Surgo to scale EchoHer across healthcare sectors and inform services for 20,000 women in the first 24 months of expanded adoption and uptake.
Surgo’s women’s health data is already being used by life sciences partners to support clinical trial recruitment and commercial uptake. Health care clinics are leveraging Surgo’s data on maternal health to inform patient risk assessments and treatment plans. Academic and philanthropic partners use Surgo data to support reproductive health research and interventions. Surgo’s generative-AI survey platform has been piloted by partners to support contraceptive uptake and understand Medicaid beneficiary experiences.
Through this Commitment to Action, Surgo Health will expand its partnerships across healthcare. With EchoHer, healthcare partners will benefit from a more detailed picture of what impacts women’s health outcomes. Clinical trials teams will pinpoint barriers to trial participation, such as fear of side effects. Medical Affairs teams will analyze diagnostic delays, such as low health literacy, that limit treatment uptake. Philanthropic organizations will address neighborhood-level barriers to health equity. Data teams at these organizations will integrate Surgo data into their platforms (alongside EHR, claims, and registries) to inform quality improvement.
By integrating clinical, social, and behavioral data, it’s possible to create a truly holistic view of women’s health. In doing so, providers and healthcare leaders can shape healthier futures by catching risks sooner, delivering more tailored care, and expanding access to research participation, along with other gains.
Action Plan
Q4 2025-Q3 2026:
Develop a representative and diversity-forward panel of 13,000 women, focused on conditions that significantly impact their lives (cardiovascular disease, mental well-being, reproductive health, and cancers affecting women) . Data is generated through generative AI-powered surveys, machine learning (ML) , and privacy-preserving data linkage. Surgo will deploy surveys to dynamically generate insights based on responses, enhancing the depth and relevance of the novel behavioral data collected.
Data will capture the complexity of healthcare barriers, attitudes, and lived experiences. Key targets for the panel: 8,000 patients (2,000 for each of the four health domains) and 5,000 healthy adult women.
Q4 2026-Q1 2027:
Deploy Surgo’s responsible machine learning technology to scale the insights and findings captured from the representative sample of 13,000 women to 130M US adult women. Surgo has a decade of experience leveraging explanatory-ML models to scale representative survey data, and predictions are validated with a responsible and tested ML framework and a stringent quality assurance process.
These individual profiles are further enriched by Surgo’s existing comprehensive database of neighborhood-level demographic, consumer, and geospatial features, web search data on specific conditions, public reviews of each physician in the US, and socio-economic intelligence from Surgo’s consumer data partners.
Q1-Q2 2027:
Develop risk scores based on the novel survey data, leveraging existing explanatory ML (XML) frameworks for behavioral risk modeling and integrating both Surgo’s novel data and large-scale claims data.
Develop a suite of explanatory models across the patient journey, including delayed care seeking, delayed treatment initiation, low medication adherence, and underutilization of screening programs. Purchased claims data will additionally be used to validate the scaled models.
Q3-Q4 2027:
Integrate data into an accessible, customer-facing software platform, accompanied by tailored implementation plans for partners. Partners can also integrate Surgo data and risk models into their systems through APIs and privacy-preserving data linkage via Surgo’s partnership with Datavant.
Background
Women’s health outcomes are strongly influenced by factors external to the clinic, such as skipped medications, trials abandoned due to distance, and low trust in healthcare due to misinformation. These aren’t isolated cases: 60–80% of outcomes are driven by non-clinical factors like geography, access, and beliefs (Hood et al., 2016) . Healthcare data today, however, focuses primarily on clinical measures that miss these non-clinical drivers, ultimately contributing to billions in wasted costs and life-saving treatments never reaching those who need them.
Common data collection methods such as electronic health records (EHRs) , claims, and wearables fail to capture a complete picture of women’s health. For example, clinical data shows a 40-year-old woman with chest pain who missed her follow-up and statin refill. It doesn’t show that she can’t take time off work, the doctor is two hours away, her family has had bad experiences with statins, and she believes that she’s too young for heart disease.
While the health ecosystem acknowledges the need to address these factors, current solutions do not offer the needed breadth, depth, and specificity tailored to individual therapeutic areas and behaviors along a women’s healthcare journey. Healthcare systems have invested heavily over the past decade to address non-clinical factors shaping outcomes (Horowitz et al., 2020) . However, this work has not yet been tailored to women’s health needs, despite strong evidence that many conditions affect women differently or at higher rates than men (McKinsey, 2024) .
Surgo Health is working to close this gap by bringing women’s full experiences into focus.
Progress Update
Partnership Opportunities
Surgo is seeking additional funding to support critical data collection activities essential for the successful completion of this project, as well as the necessary labor to effectively implement Surgo’s solutions. Securing these resources will enable us to gather comprehensive data, ensuring that insights are robust, actionable, and reflective of diverse populations. Expanded media support will enhance Surgo’s ability to reach broader audiences, amplify key messages, and increase awareness around pressing women’s health issues. Additional healthcare partners interested in becoming early-stage adopters and piloting implementation will help generate the evidence needed to fuel broader adoption.,Surgo can provide comprehensive support and expert guidance on the design, development, and deployment of generative AI-driven surveys tailored to capture nuanced insights from diverse populations. Surgo partners with life sciences companies to support clinical trial recruitment, retention, and product uptake, philanthropic organizations to tailor program implementation, and academic researchers to support investigations into women’s health outcomes. Surgo’s advisory includes ensuring responsible AI and ethical machine learning practices, particularly focusing on fairness, transparency, and minimizing bias. Additionally, Surgo offers deep expertise in identifying and addressing behavioral and perceptual barriers that prevent individuals from seeking and engaging in healthcare, leveraging evidence-based behavioral science methodologies. Surgo specializes in site-specific implementation best practices, helping partners adapt solutions to distinct operational and cultural contexts.