Protocol-defined extraction
Jonas reads your protocol, then pulls the required variables from charts, notes, labs, and scanned PDFs.
Give Jonas your study protocol and patient records. It reads charts, notes, labs, and scanned PDFs, extracts the required variables, and returns a source-linked dataset ready for human signoff.
Join the pilotBuilt for investigator-led retrospective studies. Researchers give Jonas the protocol and records; what comes back is a finished, source-linked dataset ready for human signoff.
Jonas takes your study protocol and knows exactly which variables, windows, and eligibility rules to extract.
It reads charts, notes, labs, and scanned PDFs, then links every extracted value back to its source.
Researchers approve the finished, source-linked export. Jonas only messages when something is missing, conflicting, or needs judgment.
Exception resolution
Extracted field
Six-month follow-up
Not documented
Source citation
Operative note · page 4: no follow-up visit listed
Clinic notes · 0–8 months: gap in protocol window
Outside records · chart search: nothing found
Researcher message
Jonas · 9:12 AM
Patient 047 has no documented visit in the protocol window. Should this patient be excluded?
Maya R. · 9:14 AM
Yes. We checked the chart and outside records. Exclude for no six-month follow-up.
Approved · Dataset updated
Exclusion recorded, evidence linked, cohort updated to 76, and Maya’s signoff saved.
Retina_outcomes_v18.csv
76 patients · 142 variables · every value source-linked
Researchers sign off rather than dig. Documentation is captured as a byproduct of the review they are already doing.
Jonas reads your protocol, then pulls the required variables from charts, notes, labs, and scanned PDFs.
Confirming a sourced answer takes seconds. Finding it in the chart takes twenty minutes.
2024-03-12
Operative note · page 1
“…patient underwent uncomplicated vitrectomy on March 12, 2024…”
Research data needs a person accountable for every value. Jonas prepares the answer; researchers approve it.
Maya R. · PI
Every value remains human-accountable
When information is missing, conflicting, or requires judgment, Jonas asks the right person and updates the dataset.
Jonas · 9:12 AM
Patient 047 has no visit in the protocol window. Exclude?
You · 9:14 AM
Yes. No documented six-month follow-up.
What comes back is the dataset your analysis needs, with every value linked to evidence and every exclusion reason preserved.
Retina_outcomes_v18.csv
Export readyIntegrations are how researchers share protocol and records, review the finished export, and answer exceptions. They are not the product itself.
Share the study protocol plus charts, notes, labs, and scanned PDFs from folders a user selects or authorizes.
Sign off the finished source-linked dataset in Excel, Sheets, or CSV, the tools your analysis already uses.
Messaging is the exception path. Jonas reaches out only when a value is missing, conflicting, or needs judgment.
Initial scope: direct file handling plus user-authorized OAuth where the workspace permits it. Messaging and file access still depend on provider account setup and workspace permissions.
Charts, notes, labs, and scanned PDFs against your study protocol. Jonas extracts the required variables and links every value to its source.
From the study protocol. You give Jonas the protocol and patient records; it abstracts the variables, windows, and eligibility rules the protocol defines.
No. Jonas is an AI clinical research teammate that turns records into a research-ready dataset. Your team keeps working in the tools they already use. There is no separate dashboard to monitor.
Most of the work is the dataset: Jonas extracts, sources, and returns values for signoff. When something is missing, conflicting, or needs judgment, Jonas messages over Teams, Outlook, Webex, Slack, or email, and your team replies in plain language.
No. Research data needs a human accountable for every value. Jonas prepares a sourced dataset; a researcher signs off the export. Confirming takes seconds where finding it takes twenty minutes.
Pilot studies run on de-identified or institution-approved records only. A researcher approves every extracted value, and every entry keeps a complete audit trail of what changed, who approved it, and the evidence behind it.
Investigator-led retrospective studies. One study, run with our team alongside yours. You keep the source-linked dataset, with the decision and exclusion log included as a byproduct.
Pilot teams use Jonas at no cost while we build the product around their studies. Paid plans come later, and pilot teams get them first.
Get a source-linked dataset ready for signoff. Your team keeps the finished export, with exclusion reasons and evidence preserved.
Pick a time below. Twenty minutes, and bring a protocol if you have one.