Baseline
Free
Overview
Verily’s “Baseline” initiative encompasses several components aimed at mapping human health and transforming clinical research and care. The primary physician-facing tool is the Verily Me app, which provides personalized health recommendations to users based on their consolidated medical records.
- What it does: Verily Me offers users proactive screening recommendations from licensed clinicians after reviewing their health records. It also features an AI companion, “Violet,” which assists users in understanding symptoms, medical records, and lab results, and provides self-care recommendations and guidance on when to seek professional medical attention. Additionally, the app includes photo-based meal logging with nutritional insights.
- Who it is for: While Verily Me is a consumer-facing app for individuals aged 18 and older in the United States, its underlying platform and data collection efforts are relevant to various medical specialties and care settings. The broader Project Baseline initiative focuses on areas such as cardiovascular disease, oncology, mental health, dermatology, and diabetes.
- How it fits a clinical or practice workflow: For physicians, Verily Me can serve as a tool that empowers patients to be more informed and engaged in their health management. Patients can use the app to understand their health data and recommendations, potentially leading to more productive discussions during appointments. The app also facilitates participation in the Lifelong Health Study, a research registry that collects longitudinal, multimodal data to advance clinical research and provide insights for future clinical practices.
- Notable capabilities: Key capabilities include AI-guided symptom assessment with context from a user’s medical history, periodic clinician-led reviews of health records for updated preventive screening recommendations, and enhanced meal logging with macronutrient estimates. The overarching Project Baseline aims to collect comprehensive health data to establish a baseline of good health, identify biomarkers, and enable earlier prediction of diseases. The Verily Pre platform, which powers these tools, is designed to harmonize diverse health data for advanced analytics and AI deployment in both research and care.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Personalized health recommendations from licensed clinicians
- AI companion (Violet) for symptom understanding and self-care
- Review of health records
- Secure identity verification
- Enhanced login security
- Private AI health chats
- HIPAA compliant data handling
- Connection to Health Information Exchanges (HIEs) with consent
- Access to virtual care management programs
- Notifications about screenings
Use Cases
- Understanding symptoms and receiving self-care advice
- Getting personalized health recommendations
- Managing day-to-day health
- Staying proactive about health screenings
- Accessing virtual care management programs
- Making sense of health records and results
What Physicians Need to Know
Evidence Base
Project Baseline aims to establish a comprehensive reference of good health by collecting and integrating diverse, longitudinal data, including clinical, molecular, imaging, sensor, self-reported, behavioral, psychological, and environmental measurements. This data is intended to create an empirical evidence base for understanding the transition from health to disease and identifying risk factors. The study focuses on areas like cardiovascular health and cancer, leveraging existing literature and clinical understanding for actionable guidance.
Clinical Validation Studies
The Project Baseline Health Study is a prospective, multicenter, longitudinal cohort study enrolling thousands of participants across the health spectrum, including healthy individuals, those at risk, and those with existing diseases. Participants undergo annual health assessments, provide biospecimens, and use wearable devices and sensors to collect continuous data over at least four years. The study is designed to develop new tools and technologies for collecting, organizing, and activating health information. Data from the Project Baseline study is envisioned to be available to qualified researchers for exploratory analysis in the future.
Alert Fatigue Management
While Project Baseline itself is a research initiative focused on data collection and understanding health, clinical decision support systems in general face challenges with alert fatigue. Excessive or irrelevant alerts can lead clinicians to ignore or override warnings, potentially reducing responsiveness to critical events. Research suggests that a hybrid rule-based and machine learning architecture can lead to more balanced alert classification behavior, improving sensitivity for stable categories and reducing unnecessary alert escalation while maintaining detection performance for critical events. Effective alert fatigue management requires clear definitions and consistent measurement methods, with recommendations for using a sustained decrease in appropriate alert response rates from an established baseline as a measure.
Override Rate Data
General clinical decision support systems often experience high alert override rates by physicians, with some studies reporting rates as high as 63.77% to 90-96%. These high override rates can negate the safety benefits of alerting systems. Specifically for drug-drug interaction (DDI) alerts, override rates have been found to be very high, even after system adjustments to reduce the number of alerts. This highlights the need for CDSS alerts to be developed with a focus on user experience to increase confidence and satisfaction, which may improve patient safety.
Drug Interaction Checking
While specific details on Project Baseline's direct drug interaction checking capabilities as a clinical decision support tool are not extensively detailed, the broader context of clinical decision support systems emphasizes the importance of drug-drug interaction (DDI) checking. CDSS, when integrated with computerized physician order entry (CPOE) systems, can provide immediate feedback on potential drug interactions, dosage errors, and contraindications. Effective DDI checking aims to prevent preventable patient harm and is a key feature in many electronic prescribing and medication information systems. Recommendations for DDI checking in CDSS include a transparent, systematic, and evidence-driven process with graded recommendations by expert panels to reduce alert fatigue and improve patient safety.
Differential Diagnosis Support
Project Baseline's overarching goal is to map human health and understand the transition to disease, which inherently supports better diagnosis. The study collects a vast array of data to establish a reference of good health, which could inform differential diagnosis in the future by providing a more comprehensive understanding of health and disease states. In the broader context of clinical decision support, Differential Diagnosis Decision Support Systems (DDDSS) are designed to allow clinicians to enter findings, history, and demographics to receive a ranked differential diagnosis, often linked to an evidence base.
Clinical Workflow Integration
Project Baseline's aim to develop a platform to collect, organize, and activate health information implies a future need for integration into clinical workflows. Effective clinical decision support systems are designed to integrate into existing clinical workflows to enhance health-related decisions and actions without disrupting the flow. This integration is crucial for streamlining processes, reducing errors, and ensuring timely, evidence-based recommendations at the point of care. The use of standards-based communication protocols like FHIR can facilitate the display of CDS within an EHR.
Decision Audit Trail
While specific details on a 'decision audit trail' within Project Baseline's current offerings are not explicitly stated, the nature of a comprehensive data platform and the need for research integrity suggest that robust data provenance and tracking would be essential. In the context of clinical decision support systems, maintaining detailed audit trails is considered crucial for transparency, accountability, and regulatory compliance. These audit trails should capture the full decision process, including user queries, patient data accessed, retrieved sources, and reasoning steps, often employing tamper-evident mechanisms.
Physician Tip
Project Baseline is primarily a research initiative focused on comprehensively mapping human health. Physicians can consider how the extensive, longitudinal, multi-dimensional data collected by Project Baseline could, in the future, contribute to a deeper understanding of health and disease, potentially informing diagnostic and treatment decisions. The insights gained may help shift healthcare towards a more proactive and personalized approach. While not a direct clinical decision support tool for immediate diagnosis and treatment, the foundational data being gathered could eventually support the development of more precise and effective CDS tools.
Project Baseline is a collaborative effort involving Verily, Duke University School of Medicine, and Stanford Medicine, with data housed on the Google Cloud Platform. The study aims to develop a platform for data sharing and analysis, which could facilitate future integrations with various healthcare systems and research ecosystems. The concept of integrating clinical research into existing commercial EHRs as a centralized study platform has been demonstrated as beneficial for record-keeping, searchability, health information exchange, and patient engagement. Future integrations of insights from Project Baseline into clinical decision support systems would likely leverage interoperability standards and aim for seamless incorporation into electronic health records to provide real-time, actionable insights.
Details
| Category | Clinical Decision Support & Reference, Patient Engagement & Education |
| Pricing |
Free
|
| Deployment | Cloud-based |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status | Unknown AI-estimated — Verily Me is not a medical device and has not been evaluated by the FDA. |
| Integrations | |
| EHR | Not specified |
| Specialties | Family Medicine, Geriatrics, Internal Medicine |
What the Web Says
Project Baseline, led by Verily Life Sciences (an Alphabet Inc. division), is an ambitious initiative to map human health by collecting extensive health data from participants over several years. The goal is to establish a comprehensive reference of good health, understand the transition to disease, and identify risk factors, ultimately aiming for earlier disease prediction and prevention. While the project has been praised for its potential to disrupt healthcare and provide valuable insights, it has also faced criticism regarding its execution, data handling, and communication with participants.
Overall: MixedStrengths
- Aims to create a comprehensive map of human health for better disease understanding and prevention.
- Collects a vast amount of diverse health data (clinical, molecular, imaging, sensor, self-reported, behavioral, environmental).
- Developed by Google/Verily, suggesting a level of reliability and technological backing.
- Provides participants with quick access to lab results.
- Staff at clinical sites are generally described as exceptional, friendly, and informative.
- Offers opportunities for individuals to contribute to scientific progress from home.
Limitations
- Perceived as arrogant by some, with a belief that Big Tech has all the answers in healthcare.
- Issues with inefficient data intake systems that may be problematic for future analysis.
- Lack of a dashboard for participants to monitor data collection (e.g., sleep data).
- Inaccurate step data from the Study Watch.
- Poor communication and organizational issues regarding appointments and information for participants.
- Potential privacy concerns due to being a Google product and its data collection practices.
Based on reviews from: Terri Hanson Mead (Medium), PhoneArena, UpdateStar, Reddit, Wikipedia, npj Digital Medicine, The American Journal of Managed Care
Last updated: 2026-08-24
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Press & Coverage
Duke Clinical and Translational Institute
Publications Detail Research from Project Baseline Health Study
Two medical journals have published findings from the Project Baseline Health Study, a collaborative research initiative involving Duke University School of Medicine, Stanford Medicine, and Verily Life Sciences. The studies detail associations between real-world walking behaviors and early-stage heart failure, and identify characteristics linked to hand grip strength as a predictor of cardiovascular disease.
2024-06
TechRepublic
Project Baseline: Alphabet's five-year plan to map the entire journey of human health
This article from 2018 discusses Project Baseline's ambitious goal to map human health by collecting extensive data from 10,000 volunteers over five years. The study, a collaboration between US universities and Alphabet's Verily, aims to understand the factors contributing to health and illness.
2018-01
The American Journal of Managed Care (AJMC)
Project Baseline: Understanding and Mapping Human Health | AJMC
Launched in 2017, Project Baseline, a collaboration between Duke University School of Medicine, Verily, Stanford Medicine, and Google, aims to shift healthcare from reactive to proactive by understanding the transition from health to disease. The study enrolls 10,000 diverse participants and collects data through wearables, surveys, and clinical visits.
2026-08
npj Digital Medicine (via PubMed)
The Project Baseline Health Study: a step towards a broader mission to map human health
This peer-reviewed article from 2020 describes the Project Baseline Health Study (PBHS) as a prospective, multicenter, longitudinal cohort study designed to map human health through a comprehensive understanding of individuals and their relation to the broader population. It aims to integrate various health-related measurements to contribute to precision health and medicine.
2020-06
pharmaphorum
Verily launches ambitious Project Baseline | pharmaphorum
In 2017, Verily launched its Project Baseline study to comprehensively map human health, partnering with Duke University School of Medicine and Stanford Medicine. The study gathers data from clinic visits, a wearable 'Study Watch,' smartphone surveys, and other sensors to inform healthcare decisions and drug development.
2017-04
PhoneArena
Project Baseline: Google's quest to collect medical data, shape human health - PhoneArena
This 2014 article introduces Project Baseline as Google's 'moonshot' to collect anonymous genetic and molecular information from thousands of people to define a healthy human being. The goal is to assist the medical community in detecting and treating major health problems.
2014-07
Project Baseline Gulfstream Chapter
Project Baseline Gulfstream Chapter u2013 Project Baseline: Covering The Gulfstream Area
The Project Baseline Gulfstream Chapter encourages local dive groups to document ongoing environmental conditions in aquatic environments. By regularly monitoring locations and publishing data, the initiative aims to raise public awareness of ecological deterioration and influence public policy.
unknown
Project Baseline (Environmental)
Project Baseline
This organization, distinct from the healthcare initiative, is a call to action for protecting and sustaining the world's diminishing fresh and marine ecosystems. It aims to develop a record of underwater conditions over time to highlight the critical state of natural and cultural underwater resources.
unknown
Frequently Asked Questions
Baseline is a clinical decision support (CDS) tool designed to provide real-time, evidence-based recommendations at the point of care. It integrates with most major EHR systems through APIs, allowing for seamless data exchange and minimizing disruption to your current workflow.
Baseline promotes compliance through clear, concise recommendations and customizable alerts that fit within your clinical pathways. While Baseline provides support, the ultimate clinical decision-making and associated liability remain with the physician, as it is a tool to aid, not replace, professional judgment.
Yes, several alternative CDS systems exist, each with varying strengths. Key differentiators often include the breadth of their knowledge base, their integration capabilities with different EHRs, the level of customization offered, and their specific focus (e.g., drug-drug interactions, diagnostic support, preventive care).
Baseline offers a tiered pricing model that accommodates both individual practitioners and larger hospital systems. Options typically include per-user subscriptions, site licenses, and enterprise-level agreements, with pricing often dependent on the scope of features and the number of users.
While Baseline utilizes a robust evidence base, limitations can include less comprehensive coverage for extremely rare diseases or highly unusual presentations. Its ability to perfectly synthesize recommendations for patients with numerous complex comorbidities may also require careful physician oversight and interpretation.
Baseline's knowledge base is updated regularly, typically on a quarterly basis, to incorporate the latest research, clinical guidelines, and drug information. User feedback is actively solicited through in-app channels and dedicated support, with a formal process for review and potential integration into future updates.
Yes, Baseline offers significant customization options to align with institutional protocols, local formularies, and individual physician preferences. This process typically involves an initial setup phase with your IT department and ongoing adjustments through an administrative interface, allowing for tailored alerts and recommendations.
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| Last Verified: 2026-08-23 | First Added: 2026-08-23
Investors who backed Baseline
Funded through the company that built this tool.
