Why Qwery? Because managing your family's health is hard when data is scattered, complex, incomplete and full of medical jargon.
Primary care visits are short and patients often leave without time to ask all their questions or fully understand their health concerns.
Existing personal health records haven't delivered — the data is hard to interpret and offers little meaningful support for day-to-day family-health decision-making.
Online medical searches return generic, anxiety-producing information that rarely fits a patient's precise clinical situation.
People are taking their clinical data to generic AI's today for interpretation and clinical advice. Qwery is the version built for the job - Qwery is what you actually need.
Qwery connects your medical records, claims data, labs, and wellness data with cutting-edge generative AI so you can see your health history clearly, ask informed questions, and get answers in terms that make sense to you.
This is hard! But you don't need to worry about it - Qwery does the heavy lifting for you. Simply show up, follow the prompts to connect to your data sources, and begin managing your family's heath in the way that is most useful to you.
Product
Qwery is a personal health companion that helps you bring together your clinical data, make sense of it with AI, and use it in practical ways to take control of your family's health.
Your family health and wellness data is scattered across many sources - EHR portals, payer portals, wellness apps,and your own personal experiences. Qwery uses CMS Bluebutton API's, Google and Apple health authentication and data retrieval, direct EHR connections and prior chat processing to supplement clinical data. We know you don't know what this means, and you don't need to! Simply add your credentials and Qwery will take care of the rest.
Import your family's heath and wellness data or enter information simply by chatting. Qwery aggregates your health and wellness data into a single, longitudinal personal health record across visits, labs, diagnoses, medications and more for each member of your family.
Ask about lab results, medication and chronic condition management, or unresolved symptoms the way you'd ask a trusted clinician. Qwery uses context-aware clinical AI agents with retrieval-augmented generation (RAG) clinical data retrieval to ground responses in your real clinical data - more things you don't need to worry about! Just ask your questions and get the answers you are looking for.
Summarize past visits in clear language, track key metrics over time, and generate smart questions and new insights to bring to your next appointment so you can make the most of your limited time with your healthcare team.
Generate appointment preparation guides, care coordination plans, prior-approval justifications, wellness and activity trackers, and tailored notification systems to help keep your family's health maintenance plan on track.
Bring your data to Qwery once. Then chat and interact with you health data where you prefer - at the Qwery webpage or mobile app, or through your favorite AI chat web interfaces.
Qwery is actively developing its platform, with core capabilities nearing completion. At launch, users will be able to:
How it works
Qwery combines data aggregation, longitudinal visualization, and generative AI to help you see the story behind your health data, not just the raw numbers.
Step 1
Connect to your mobile device health data (Google and Apple supported), EHR, or payer portals. Upload structured clinical data, PDFs or enter core details manually. Or simply chat and let Qwery find the relevant information in your conversations. Qwery organizes and deciphers your information into a structured timeline of encounters, labs, conditions, medications and more.
Step 2
Your data is presented as a longitudinal record you can filter, search, and explore — with trends, summaries, and context that make complex histories easier to navigate.
Step 3
Ask questions about your health in natural language. Qwery uses your data to prime AI responses, giving you context-aware explanations and new insights and ideas to discuss with your care team.
Privacy & security
Qwery is built on a consent-first, security-by-design approach. Your clinical data is always deidentifed. And you decide what comes in, what's used with AI, and if any of your data is ever shared.
You choose which portals and apps to connect to, which files to upload, and what data is included in each AI interaction. Data import is always user-initiated, and you can disconnect sources or delete records at any time.
Qwery is built on top of modern security practices: encryption in transit and at rest, audit logging, and a breach-response plan aligned with FTC expectations for personal health records.
Your data is used only to support your experience in Qwery. Nothing is shared or reused without your explicit consent. If deidentified data is ever used to improve the platform or support research, it is strictly opt-in.
For clinicians & partners
Qwery is designing a consent-based, deidentified data platform to support research, AI development, and real-world evidence — starting with users who choose to share their longitudinal records and health journeys. If you're exploring collaborations in this space, we'd love to connect.
Still to come
Qwery is in active MVP development with core features nearing completion.
The world is already turning to AI to understand health concerns, explore treatment options, and even self-diagnose. At Qwery, we're building tools purpose-built for that reality, designed by clinicians and technologists with decades of experience in healthcare and health data.
What comes next will be shaped by our users. Our goal is to create a tool that empowers anyone seeking clarity about their health or wanting more control over their health-related decisions.
Founders
We're clinicians, technologists, and healthcare data-obsessives with deep experience at the intersection of care delivery and health IT. And we're tired of seeing individuals and families struggle with tools that weren't designed with their needs in mind.
Harvard Pan is a seasoned technology executive with deep experience scaling health-tech and data-driven products. He most recently served as COO of Conduce Health, leading teams that built AI-driven referral optimization, predictive disease models, and large-scale clinical data pipelines—culminating in the company's acquisition by Switchboard Health. Previously, as CTO of Diameter Health, he rearchitected their clinical data normalization platform into a secure cloud-native SaaS capable of processing millions of CCDs and HL7 messages per day; Diameter was later acquired by Availity. He has also held senior engineering roles at QPID Health and HealthFortis, directing teams building NLP, clinical decision support, care coordination, and referral management systems. Before his healthcare work, Harvard spent over a decade at Oracle, leading global teams responsible for Oracle's core BI engine, metadata management, and large-scale data modeling.
Harvard believes that democratizing structured clinical data and AI-driven insight will reshape healthcare for the better. Qwery exists to give users the same advanced data capabilities traditionally reserved for academic medical centers, large provider organizations, and national payers.
Chris Vitale is a clinical pharmacist and informatics leader with nearly two decades of experience building and scaling clinical data and interoperability solutions. He most recently served as Director of Interoperability at VITL and Senior Director of Clinical Informatics at Availity (formerly Diameter Health), leading teams focused on clinical data normalization, FHIR modeling, data conversion, and post-acquisition integration. At Availity, he also drove standards development, new market strategy, vendor partnerships, and clinical research. Earlier, Chris held informatics roles at the American Medical Association and Partners HealthCare, contributing to EHR design, clinical decision support, terminology management, and a novel clinical knowledge management platform. His career began as a NICU clinical pharmacist at Brigham and Women's Hospital, where he also supported EHR and decision support development. Chris has authored multiple peer-reviewed publications in medical informatics and spent over a decade mentoring pharmacy and informatics trainees as adjunct faculty and preceptor at Northeastern University and Massachusetts College of Pharmacy.
After years spent solving interoperability and data-quality problems inside large healthcare organizations, Chris is building Qwery to give individuals access to the same structured, reliable clinical data that institutions use—and the tools to actually make sense of it, act on it, and take greater control of their own health.
Contact Us
Qwery is currently early-stage and in active MVP development. We're starting with a small group of trusted users and partners.
Feel free to contact us at info@qweryhealth.com. We love to hear from our supporters and future collaborators!