Native real-world evidence

The story of a medicine begins after the trial ends.

Traditional real-world evidence is assembled after the fact — scraped from claims and records. StoryMD generates it natively: a continuous, consented, AI-powered record captured as patients move through their health journeys — from the moment a therapy reaches them and for years beyond.

Watch video
Evidence, evolved

Medicine has always needed three kinds of evidence. Until now, it only had two.

Clinical trials prove a therapy can work under ideal conditions. Traditional real-world evidence — claims, EHRs, retrospective surveys — shows what happened after approval, assembled after the fact. Neither was built to answer the question that matters most for a drug's long-term success: how, why, and for whom does it actually work in real life? StoryMD's native real-world evidence is the third generation — collected directly from patients, prospectively, in real time.

Clinical trials

Can it work?

Highest scientific rigor, controlled design, regulatory gold standard. Limited population, duration, and visibility into daily life.

Traditional RWE

What happened?

Large, longitudinal, lower cost. But retrospective, incomplete, and not built for research — so it rarely explains why.

StoryMD's Native RWE

How, why, and for whom?

Prospective, structured, first-party, continuous. The complete patient journey, as it happens.

The dataset

A living digital portrait of every patient, every day.

StoryMD captures the full human context of disease — the factors that govern real drug performance but never appear in a trial case report form.

    Clinical outcomes

    Labs, imaging, provider visits, diagnoses — structured and unified across every patient.

    Medication adherence

    Exact dosing patterns, missed doses, switches — the real story of how patients take their therapy.

    Symptom progression

    Patient-reported symptoms tracked over months and years — the longitudinal arc no trial captures.

    Wearable biometrics

    Continuous heart rate, sleep quality, activity levels, HRV, and glucose data from integrated devices.

    Lifestyle & behavior

    Diet, exercise, stress, alcohol, smoking, and environment — the daily variables that drive real-world performance.

    Demographics & genetics

    Age, ethnicity, comorbidities, and genetic factors that influence response across populations.

    Treatment context

    Concurrent medications, dosing adjustments, and prior therapies — the full therapeutic picture.

    Patient & caregiver narrative

    Patient journals and caregiver observations — the qualitative texture and outside perspective on living with disease.

    AI-derived signals

    Pattern detection across all streams — surfacing what no individual data point can reveal alone.

Together, these nine data streams create a longitudinal patient record that has never existed anywhere in medicine — continuously growing, never closed, and impossible to build without the trust of the patient community at its center.

AI intelligence

What becomes visible when patients tell the full story.

The dataset is the foundation. AI is the engine that transforms it into insight — surfacing patterns in real patient lives that no controlled study can reveal.

    Adherence

    Understanding treatment adherence

    Identify when and why patients reduce or stop therapy in real life. Map adherence patterns to behavioral, lifestyle, and socioeconomic factors. Distinguish intentional discontinuation from adverse-event-driven dropout.

    Safety

    Real-world side effect signals

    Detect adverse signals weeks before they surface in formal reporting systems. Cross-reference against age, genetics, ethnicity, and comorbidities. Identify subpopulations with different tolerability profiles.

    Lifestyle

    Lifestyle & treatment interactions

    Uncover how diet, sleep quality, and exercise affect treatment outcomes. Identify environmental factors that influence results. Capture context invisible in every prior study.

    Outcomes

    Longitudinal outcome intelligence

    Track how quality of life, symptoms, and function evolve over years. Understand how treatment sequencing affects long-term outcomes. Identify which patient profiles respond best to which approaches.

For patients

Your health story, finally in one place.

Patients are not data sources. They are the reason this platform exists — and the most important contributor to everything it discovers. StoryMD is built around their experience.

    A unified record of your health journey

    Labs, imaging, symptoms, medications, and daily experiences — all in one place, organized over time. The first complete picture of your disease as you actually live it.

    AI-guided insights as your data grows

    The platform learns alongside you — connecting patterns in your labs, symptoms, and lifestyle that your care team may never see in a 20-minute appointment.

    Learn from others on the same path

    Aggregated, de-identified insights from patients like you — what others have experienced, how they've navigated treatment, and what has helped — without compromising anyone's privacy.

    You own your data. Always.

    Patients decide what they share, with whom, and for how long — with granular consent controls at every step. Your data advances science only when you choose for it to.

Patient-consented HIPAA compliant GDPR frameworks Full data ownership Free access
Get started

Real-world evidence, native by design.

Whether you're a pharma partner, a disease foundation, or a patient advocate — the window to shape this category is open now.

  1. 01

    Schedule a discovery call

    Meet the StoryMD team and explore fit for your disease community or drug indication.

  2. 02

    See the platform in action

    Live demo of the AI health journal, data infrastructure, and intelligence layer.

  3. 03

    Co-design your pilot

    Work with our team to shape the program — we handle the infrastructure, you bring the community and the direction.