Data scattered everywhere
Records live in multiple portals, apps, and paper folders, none of which talk to each other. No single source tells the whole story.
Qwery
Maya · Fatigue
Sample Data - Click to Interact
My results from the September visit are in. Dr. Shah ordered them because I've been so tired. What do they show?
These are the tests Dr. Shah ordered on September 22 to look into your fatigue. Fourteen
came back and twelve are within the typical range. Two are below it, and they're related:
Ferritin 18 ng/mL ref 30–200
Hemoglobin 11.2 g/dL ref 12.0–15.5
Both relate to iron, one of the things a fatigue workup checks. I've added them to your Fatigue focus area. Nothing here reads as an emergency.
Qwery explains your records. It isn't a diagnosis. Your care team can help you decide what to do.
A guided preview with sample data. Qwery answers from your connected records and your focus areas.
Your family's health is an ongoing story. Qwery helps you understand it.
Qwery brings together records from your patient portals into one complete health picture for each person in your family.
More than a place to store records, Qwery helps you understand what's happening with your health, stay on top of what matters, and take a more active role in your care.
Your health, organized around what matters to you.
Qwery's Care Hub organizes your family's health information around focus areas: the conditions, symptoms, and questions you're working through with your doctor, like fatigue, high blood pressure, or menopause. Each focus area brings together relevant records, results, and conversations to help you see the bigger picture.
A test gets ordered because your doctor has a question. When results come back, Qwery helps put them in context: why they were ordered, what's changed since last time, and how they relate to what you've already discussed.
Between appointments, ask Qwery anything. Your conversations help build a more complete picture of your health, keeping your focus areas up to date so you walk into your next visit knowing what's new and what's worth raising.
Built for whole families
Consent-first by design
PII scrubbed for privacy
Built by clinicians and technologists who've spent decades making health data work for healthcare organizations.
Now we're making it work for you.
Why Qwery
Managing a family's health is hard when the data won't cooperate
Results arrive without their reason
A portal alert shows a number and a flag. It doesn't remind you why the test was ordered, what your doctor was looking for, or what you talked about at the visit.
Appointments move fast
Fifteen minute appointments are rarely enough to cover everything, and the best questions tend to arrive after you've left the parking lot.
People already bring their health questions to AI. Qwery is the version that's built for the job: it knows what you're working on with your doctor, answers from your records, and is shaped by clinicians, careful with answers, and hyperfocused on security.
Ferritin · CBC · 214 results
Lisinopril 10 mg · refills ×3
Visit 06/12 · discharge note
12 prescriptions · 2 pharmacies
Maya · One record
4 sources connected
Labs
1 flagged
214 results
Medications
12 active & past
Visits
38 encounters
Notes
26 documents
Now I can see the whole picture: your ferritin has been drifting down for 18 months. Worth bringing up at your next visit.
Qwery explains your records. It isn't a diagnosis. Your care team can help you decide what to do.
How it works
Every result has a reason. Qwery keeps it in focus.
Your doctor orders tests to understand a problem you came in with. Qwery organizes your records the same way, around your focus areas, so labs, medications, visits, and your own conversations stay connected to the condition they're about.
Qwery
Bring records together
Click to Interact
What you can do
Know what changed. Know what to ask. Take a more active role in your care.
A lab result, a new prescription, or a visit note only makes sense next to the problem it's about. Qwery keeps that context for every focus area, so you can see what changed, how it connects to your care, and what to talk about next.
Results arrive with their reason
New results land in the focus area they belong to, labeled plainly: within, above, or below the typical range, and higher or lower than last time. Anything outside the range gets a calm amber flag, never an alarm.
Below the typical range · lower than last time
Ferritin · Fatigue focus area · sample data
The whole family, one account
Profiles for kids, partners, and aging parents, each with their own records and focus areas, so you can follow everyone's care from one place.
MMaya · 2 focus areas
LLeo · Asthma
RRuth · 3 focus areas
+ Add a family member
Walk into appointments prepared
Each focus area keeps a list of what's worth raising at your next visit, drawn from new results and your chats, so your fifteen minutes goes further.
Could low iron explain how tired I've been?
Could heavier periods be part of this?
Should I start iron, or recheck first?
Chat where you already chat
Connect Qwery to Claude or ChatGPT, and your assistant gains grounded, factual context from your records, with your personal identifiers scrubbed out first. Your identity always stays in Qwery, under your control.
Your Qwery record
Claude & AI assistants
PII scrubbed by design
Every chat counts
What you tell Qwery between visits, a new symptom, a side effect, a question you forgot to ask, is saved under From your chats in the right focus area and on your Care Timeline, cited back to the conversation it came from.
A timeline built around visits
Your Care Timeline lines up every visit with what was found, what happens next, and the results that came from it, with your chats in between, so you can see how each condition has been followed over time.
See Qwery in action
Organized around your care, with every record behind it.
Open a focus area, choose what else to follow, see your visits on the Care Timeline, and dig into any record when you need to. Each example is interactive and uses sample data.
Focus areas
One condition, the whole story.
Each focus area opens with a summary Qwery writes from your records and your chats: how it came to light, how it has been followed, and what's worth raising at your next visit. Below it are the medications it watches and the results that matter, each with its range, its trend, and the visit it came from. Switch between focus areas, open any result, or ask Qwery about the whole thing.
Add a focus area
Follow what you and your doctor are working on.
Qwery reads the conditions already named in your records and suggests the ones with the most behind them: results, medications, and visits. Follow one in a tap, or search for something your records don't name yet. Qwery already knows what to chart for common conditions, and you can change it any time.
Add a focus area
Follow a condition from your records, or search for another. Its labs, medications and visits gather in one place.
Care Timeline
Your visits, and what happened between them.
Every visit gets a plain-language summary: what was found, what happens next, and the results that came from it. Your chats with Qwery between appointments roll up in between, so the story of each focus area reads in order, with every line cited to the record it came from.
Care Timeline
Your visits, and what happened between them
All your visits
-
Oct 28
Follow-up · Dr. Priya Shah
- You are here
-
Between visits
2 chats with Qwery
- Wiped out by mid-afternoon most days Oct 3 chat
- Asked whether the patch affects cholesterol Sep 30 chat
-
Sep 22
Visit summary by Qwery
What was found
You described several months of tiredness. Ferritin and hemoglobin came back below the typical range; thyroid and A1c were within it.
What happens next
Dr. Shah will review the iron results with you at a follow-up on October 28.
-
Between visits
3 chats with Qwery
- Tired even after a full night's sleep Aug 29 chat
- Periods heavier since spring Aug 12 chat
-
Aug 4
Visit summary by Qwery
What was found
Hot flashes are less frequent on the patch. Estradiol is within the typical range; FSH and the cholesterol panel are above it.
What happens next
Continue the patch and progesterone. Recheck the cholesterol panel at a later visit.
-
May 18
Visit summary by Qwery
What was found
Hot flashes and broken sleep were affecting daily life.
What happens next
Start an estradiol 0.05 mg/day patch twice weekly and micronized progesterone 100 mg at bedtime. Recheck symptoms and labs in about three months.
Records
Every record behind your focus areas, in one place.
Focus areas show what matters for each condition; Records holds everything. Medications, conditions, visits, notes, immunizations, and vitals from across your connected sources, organized in one place. See where each piece came from, and ask about any of it without searching through multiple patient portals.
Conditions
2
Perimenopausal stateFeb 12, 2026
active
Hot flashesApr 8, 2026
active
Immunizations
2
Influenza, seasonalOct 15, 2025
Given
TdapJun 3, 2021
Given
Medications
2
Estradiol 0.05 mg/day patchMay 18, 2026
active
Micronized progesterone 100 mgMay 18, 2026
active
Vital signs
4
Heart rate4 readings · Feb 2026 – Aug 2026
72 bpmlatest Aug 4, 2026
Blood pressure4 readings · Feb 2026 – Aug 2026
118/76 mmHglatest Aug 4, 2026
Respiratory rate4 readings · Feb 2026 – Aug 2026
16 /minlatest Aug 4, 2026
Body weight4 readings · Feb 2026 – Aug 2026
145 lblatest Aug 4, 2026
Notes
1
HRT Follow-up NoteMay 18, 2026
Privacy & security
Your family's data, treated like it's your family's
Qwery is consent-first and security-by-design. You decide what connects, what's used, and what stays.
You choose what connects
Every source is connected by you, and only you. Disconnect any source or delete any record whenever you like.
PII scrubbed for privacy
Personal identifiers such as names, addresses, phone numbers, and ID numbers are scrubbed wherever possible before any AI model sees your data. The few steps that must read a document as-is run in isolated environments with strict technical controls. The model reads your results, not your identity.
Encrypted and audited
Encryption in transit and at rest, access logging, and a breach-response plan aligned with FTC expectations for personal health records.
Never sold. Never assumed.
Your data is used to answer your questions, nothing else. If scrubbed data ever supports research, it's strictly opt-in.
Questions about our privacy or security practices? Write to [email protected] and we'll answer plainly.
Founders
Built by people who've spent careers making health data behave
We're technologists and clinicians with decades at the intersection of care delivery and health IT.
And we're tired of watching families struggle with tools that weren't designed for their needs.
Harvard 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. As CTO of Diameter Health, he rearchitected its clinical data normalization platform into a secure, cloud-native SaaS processing millions of clinical documents a day; Diameter was later acquired by Availity. He has held senior engineering roles at QPID Health and HealthFortis, and before healthcare 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 patients and families should be empowered by their health data, not overwhelmed by it. Qwery gives individuals the structured clinical data and AI-driven insight traditionally available to academic medical centers, large providers, and national payers.
Chris is a clinical pharmacist and informatics leader with nearly two decades 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, and clinical research. Earlier, he held informatics roles at the American Medical Association and Partners HealthCare, contributing to EHR design, clinical decision support, and terminology management. His career began as a NICU clinical pharmacist at Brigham and Women's Hospital, and he has spent over a decade mentoring pharmacy and informatics trainees as adjunct faculty at Northeastern University and Massachusetts College of Pharmacy.
After years solving interoperability problems inside large healthcare organizations, Chris is building Qwery so individuals get the same structured, reliable clinical data institutions use, and the tools to actually make sense of it.
Be among the first families
Qwery is in active development and opening to a small group of early-access users.
Sign up in the app and we'll hold your place.
Prefer to just say hello? Write to [email protected]
We love hearing from supporters and future collaborators.
For partners
Build with us
Qwery is building a consent-based data platform for research, AI development, and real-world evidence, starting with people who choose to share their longitudinal records and health journeys, with personal identifiers scrubbed out first. If you're a clinician, researcher, or organization exploring collaborations in this space, we'd love to talk.
Or write to us at [email protected]