The Healthcare CRM Software That Fills Itself
Every CRM on earth runs on fields somebody had to type. This one runs on the chart itself.
Healthcare CRM software is supposed to keep every patient relationship organized — but a medical CRM is only as good as the data somebody keys into it. DeepCura takes a different path: the CRM record is built from the clinical visit itself — coded facts extracted from the conversation, staged with evidence, and approved by you. One thread per patient. Plain-English panel queries. $129/month, everything included.
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See the Chart Fill Itself
How a CRM Built on the Chart Fills Itself
The visit is recorded
The AI scribe listens to the encounter and extracts coded clinical facts — diagnoses (ICD-10), medications (RxNorm), labs and vitals (LOINC), allergies (SNOMED), immunizations (CVX) — validated against current official code releases before anything is proposed.
Every fact is staged with its evidence
Each suggested fact carries the verbatim quote it came from and the exact second of visit audio. Nothing touches the record until a clinician reviews it — approve, edit, or reject, with every decision audited.
Approved facts become queryable fields
Once approved, a fact is a structured field on the patient record — trendable over time, filterable across your whole panel, and exportable. The CRM database builds itself as a byproduct of care.
Illustrative interface with simulated patient data.
To our knowledge, this makes DeepCura the first US system that turns conversations into population-level data — the chart writes itself, every value carries its evidence, every entry approved by you.
Our claim, and precisely scoped: ambient visit conversation captured as coded, per-value-evidenced, clinician-approved chart data that is queryable across patients. Ambient documentation tools stop at the encounter; chart-intelligence tools mine existing records without ambient capture. Based on a competitive review of US vendors in both categories, July 2026, re-verified quarterly.
Every Field a Healthcare CRM Needs — Without the Typing
The patient CRM software fields you’d normally maintain by hand, next to where DeepCura gets them.
Diagnosis and problem lists, retyped from the chart
Extracted from the recorded visit and approved by you
Medication fields, updated when someone remembers
Captured when you say them, with the quote attached
Lab values copied into custom fields
Coded LOINC values that trend automatically
Contact preferences on a sticky note
Preferred channel and TCPA consent as fields on the record
Tags and status, maintained by whoever has time
Lifecycle status, tags, and referral source set once, kept on the chart
Illustrative interface with simulated patient data.
Lifecycle status, tags, referral source, preferred channel, and contact consent are fields you set on the record — nothing here is a computed score. What the chart does automatically is carry the clinical facts and the full conversation history alongside them.
Healthcare CRM vs. EHR Reporting vs. a Chart-Native Record
| Typical healthcare CRM | EHR reporting module | DeepCura | |
|---|---|---|---|
| Where the data comes from | Typed by staff | Coded at charting time | Extracted from the recorded visit, approved by you |
| Evidence behind each value | — | Chart reference | Verbatim quote + audio timestamp |
| Adding a new thing to track | Vendor or admin config | Template change | Self-serve custom concept |
| Panel query | Filters on typed fields | Report builder | Plain English — threshold, exists, missing |
| Care-gap or recall list | Built manually | Report export | Missing-mode query → one-click CSV |
| Outreach | Campaigns and drips (varies) | Varies | Your staff, from the list — no bulk sending |
| Conversation history | Yes | Varies | One thread: SMS, email, call, fax |
| Price | Often per seat or per module | Bundled with the EHR | $129/mo per provider, all-in |
