Clinical researchers reviewing study data in a working laboratory

Healthcare

PHI review before analysis starts.

RangerIO fits into clinical and research analysis: review exports locally, identify PHI, and prepare masked context before AI-assisted summaries or analysis begin.

01 / Files reviewed

Patient, Visit, Note, Billing

02 / Information detected

Patient name, DOB, MRN, Clinical note

03 / Outcome

Cohort summaries and analysis without raw patient records leaving the device.

A day in the work

Know what's in the export before anyone analyzes it.

A clinical, billing or study export arrives and nobody can say with confidence which identifiers are buried in the free-text columns.

  1. 1

    The export is opened on device

    Patient lists, encounter notes and claims files are inspected where they already sit, without creating another copy to govern.

  2. 2

    PHI is confirmed, not assumed

    Names, dates of birth, record numbers and identifying detail inside notes are surfaced before analysis starts.

  3. 3

    Analysis begins on safe fields

    Cohort questions and summaries run against the fields your team approved, so the work can start today.

What you get

Answers your team can present, not a compliance argument.

Cohort summary

Population characteristics and trends described clearly enough for a clinical or operational meeting.

Note-level insight

Themes from free-text notes surfaced without those notes ever leaving the device.

A defensible starting point

A clear account of which fields were used, so the analysis holds up in review.

Patients keep their privacy, and your team stops waiting on manual de-identification to begin.

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