How does Othisis catch a medication discrepancy that isn't mentioned during the visit?

Othisis cross-references what's captured in the ambient encounter audio against uploaded referral letters, discharge summaries, and prior notes, and flags any mismatch between the patient-stated list and what's documented in the records for clinician review.

Does this replace the clinician's own medication reconciliation process?

No. Every flagged discrepancy is a draft finding that requires clinician review and sign-off — Othisis surfaces the mismatch and its source, but the clinical decision stays with the clinician.

What counts as a "source" for a flagged medication discrepancy?

Either a specific PDF section from an uploaded record or a specific audio segment from the encounter — every flag is traceable back to exactly where it came from.

Does this work across transitions of care, like hospital discharge to outpatient follow-up?

Yes — the workflow is built around fragmented, cross-setting records: discharge summaries, external notes, and prior visit history are all ingested and reconciled against what's captured in the current encounter.

MEDICATION LIST RECONCILIATION

Medication Reconciliation, Documented With Traceability

An unreconciled medication list doesn't just slow the encounter - it creates a direct route to prescribing errors, contraindication misses, and audit exposure.

Othisis ingests uploaded referral letters, discharge summaries, and prior clinic notes, then cross-references patient-stated medication history captured during the ambient encounter to surface discrepancies before the note is signed. Every medication flag is indexed to the source whether a PDF section or a specific audio segment so the clinician reconciling the list is working from traceable evidence, not inferred output

Designed for GPs, hospitalists, and specialists managing patients with complex polypharmacy, transitions of care, or fragmented outside records. When medication discrepancies go undocumented - an undocumented dose change, a contraindicated new prescription from another provider - the downstream risk lands squarely on the clinician who signed the note.

Explore AI Scribe by Specialty

Doctor reviewing a medication reconciliation checklist on a tablet with a senior patient

Medication Reconciliation Is Manual, Fragmented, and High-Stakes

Medication lists are rarely clean. They’re scattered across memory, paper lists, old notes, pill bottles, and discharge summaries.

Reconciliation requires detailed verification.

Clinicians confirm what’s actually taken, plus dose/route/frequency changes, stops/holds, and PRN use.

Hidden inputs create risk and rework. OTC meds, supplements, adherence barriers, allergies, and recent ER/hospital changes must be captured accurately.

Documentation must be clear and defensible.

AI support should keep the source evidence easy to verify, not just summarize so clinicians can finalise safely.

Specialty Workflow Coverage

Before visit

Turn uploaded PDFs into a clean, structured snapshot.
Summarize discharge meds and recent external changes.
Surface relevant med history from prior visits/records.
Organize “current list vs reported list” for quick review.

During Visit

Capture medication talk ambiently while you stay patient-facing.
Document “what you’re taking now” with key details (dose/route/frequency).
Record changes: increases/decreases, switches, and timing adjustments.
Capture stops/holds with patient-stated reasons and side effects.
Note adherence patterns plus OTCs, supplements, and PRN use.

After Visit

Draft review-ready note sections that reflect medication updates clearly.
Structure the med rec outcome so changes are easy to scan and confirm.
Create draft patient-friendly instructions when appropriate.
Produce draft referral/insurance letters where med history is needed.

Built for Medication Reconciliation Across Every Visit Type

Medication reconciliation isn’t a single moment - it changes depending on why the patient is here and where they’ve been seen recently. Othisis supports med rec in visits where lists are messy, time is tight, and details matter.

Traceable medication documentation tied to the encounter

Structures documentation to match med rec workflow

Captures high-density medication language accurately

Adapts to transitions of care and longitudinal follow-up

The focus remains on producing documentation that’s familiar, easy to review, and safer to finalize with clinician approval required before sign-off.

Document Intelligence for Medication Reconciliation

Specialty-Aware Document Intelligence (Before & During Visit)

Specialty-Aware Document Intelligence:

Patient-reported “what I actually take” vs what’s on file
Dose, route, frequency, and timing changes discussed in the visit
Discontinuations/holds and the stated reason
Side effects, tolerance issues, and “why we changed it” context
PRN patterns and adherence barriers (missed doses, affordability, confusion)
OTC meds, supplements, and “as needed” additions
Transition-of-care updates from PDFs (e.g., discharge summaries, external notes)

High-Fidelity Clinical Documentation

Hospital/ED follow-ups (transition of care)
Chronic disease management visits (ongoing adjustments)
New patient intakes with incomplete histories
Polypharmacy reviews
Procedure/surgery clearance visits where med lists must be verified
Routine follow-ups where “nothing changed” still must be documented clearly

Accuracy, Traceability & Risk Controls

Omitted meds or incomplete histories
Confusion between prescribed vs actually taken regimens
PRN use and adherence ambiguity
Side effects that drive medication changes

Time, Throughput & Revenue Efficiency

Reduces post-visit charting and rework
Improves consistency in how medication changes are documented
Makes “what changed and why” easier to scan during future visits
Decreases time spent searching PDFs and old notes

Designed for Medication Reconciliation Across Every Visit Type

Specialty practices managing chronic meds (cardio, pulm, endo, rheum, neuro)
Hospital-affiliated outpatient clinics
Community health centers
Multi-provider groups handling frequent transitions of care