Solution
For hospitalists, care-transitions teams, and CMIOs: discharge summaries assembled from the whole record, with every statement anchored to its source.
The problem
A single patient's history is scattered across EHR tabs, scanned referral PDFs, and lab portals — and someone clinical has to assemble it.
Copy-forward documentation buries the medication change and the new allergy under administrative filler.
The receiving clinician gets a summary they cannot verify, so they either re-read the whole chart or trust it blind.
The product, not a promise
How it works
Pull records from EHR feeds, CCDA documents, scanned referrals, and lab portals.
Order diagnoses, medications, procedures, and allergies into one chronological profile, deduplicated.
Generate a narrative discharge summary with administrative noise filtered out.
Anchor every statement to its source snippet; conflicts are flagged for the provider, never resolved silently.
Deliver a specialty-filtered view the receiving clinician can trust and check.
Who it's for
Attending physician
CMIO / care-transitions lead
Compliance & health IT
Clinicians spend more time hunting for data than treating patients. A single patient’s history is scattered across EHR tabs, scanned referral PDFs, and lab portals, and the notes that do exist suffer from bloat — hundreds of pages where the relevant facts hide. The Clinical Summary Generator does the assembly work so the clinician does the clinical work.
The system ingests records from every source — HL7 feeds, CCDA documents, unstructured progress notes, scanned external records — and organizes the key clinical concepts into a single chronological profile: diagnoses, medications, procedures, allergies. Duplicates and administrative noise are filtered out. Details that keyword search misses, like social determinants or medication non-adherence buried in free text, surface because the system reads meaning rather than matching strings.
From that profile it generates a coherent narrative summary, ready for discharge, referral, or morning rounds. Lab values and vitals extracted from years of notes can be graphed to show progression, and the view adapts to the reader — renal function foregrounded for the nephrologist, cardiac history for the cardiologist.
A summary a clinician cannot verify is a summary they cannot use. Every generated statement anchors to its exact source snippet in the original record — hover, see the evidence, move on. Where sources disagree, such as mismatched medication lists, the conflict is flagged for provider review instead of being silently reconciled. That discipline is what makes the output usable at shift change and defensible in the chart: this is document-to-decision work where the decision belongs to the clinician, and the system’s job is to make the evidence impossible to miss.
Objections, answered
By checking it in seconds. Every statement anchors to its exact source snippet in the original record — hover, see the evidence, move on. Where sources disagree, the conflict is flagged for provider review, and the clinician signs the final document.
Yes. The narrative structure, required sections, and specialty views are configured to your templates, so the output drops into your existing documentation workflow instead of adding a new one.
Inside your environment. Deploy on your private cloud or fully on-prem, on a platform certified to ISO 27001 and SOC 2, with an audit trail of every record ingested and every summary generated.
Weeks, driven mostly by connecting your sources — EHR feeds, CCDA exports, scanned-document stores. Summarization and anchoring work from the first record ingested.
Watch it become a source-anchored discharge summary — then check the anchors yourself, live.
Request a demo