PicnicHealth Capture

Data tailored to your needs

Capture, clean, and store high quality, fit-for-purpose data.

Efficient data capture

from EHRs with full data provenance

Unique flexibility

to expand your data model as your research needs change

Quality control

to generate data that is fit for regulatory use
Electronic Health Record (EHR) Data

Fit-for-purpose, high quality data

Collect data from any EHR system with our AI-powered, human-verified platform based on your data model.

Learn More
Electronic Clinical Outcome Assessments (eCOA)

High quality insights on assessment-driven clinical outcomes

Uncover clinically meaningful insights and capture the voice of patient, caregivers, and providers in real-time with ePROs, eObsROs, and eClinROs.

Learn More
A participant's health survey dashboard with completed and pending tasks.
A person having a video call with a doctor while wearing a blood pressure monitor.
Biometric Data

Real-world, novel participant data

Capture protocol-defined biomarker information from patient biological samples and continuous wearable data.

Learn More
Additional Patient Data

More data for more insights

Supplement your study with claims, imaging, and mortality data, and integrate additional data sources through tokenization.

Learn More

An AI-driven, human verified approach to study data

PicnicHealth uses AI from record retrieval throughout data generation, layered with rigorous quality management.

Patient Enrollment

EHR Study Data

Patient Enrollment

Record Request & Retrieval

Records rapidly retrieved across sites of care once a patient has authorized access.

Ingestion & Digitization

Relevant record types identified and isolated for study use.

Document Sectioning & Labeling

ML models trained on 32M records structures data and generates data element predictions.

CRF
Comparison

ML-generated predictions for CRF fields accelerate the work of Clinical Research Coordinators as they enter data using CRF Completion Guidelines.

EHR Study Data

A circle arrow

Continuous Quality Control

Programmatic and human driven quality controls, constructed by epidemiologists and research clinicians, are embedded throughout the record collection and CRF entry process to evaluate plausibility, completeness, accuracy, and relevance

An abstractive waves which represents data flow
A mash gradient with light blue and purple colors