DeepMed's AI agents take each chart through clinical dictation, AI-assisted coding, coding audit, CDI and - new - DRG grouping, and plug into your systems through one API. Every suggestion carries its evidence, and your team makes every decision.
Six steps from the doctor's words to a coded, audited and grouped chart, with people reviewing the results along the way.
Dictate or record the consultation with consent; the doctor approves the draft.
Exports PDF, JSON or FHIR R4Scans become text, and identifiers are masked before any AI sees them.
Suggested codes arrive with the passage behind them, for the coder to accept.
A second AI pass scores the coding and proposes changes for the auditor.
Documentation gaps become neutral, non-leading physician queries.
A rules-based grouper assigns the DRG, final when the chart is locked.
Put the right draft, the relevant evidence and the suggested next step in front of each person who needs them.
Dictate, or record the consultation with consent, and get a structured draft with every statement traced to what was said. Review, correct and approve it on your phone.
Explore Clinical Dictation →Start with suggested codes and the passages behind them. Focus your review on checking evidence and resolving ambiguity instead of locating the same information again.
Explore AI-Assisted Coding →Every coded chart gets a second AI review: a score, and proposals to add, remove or change codes with their reasons. Accept or reject each one, with a record of every decision.
Explore Coding Audit →See prioritised documentation gaps, clinical indicators and draft clarification queries together. Follow physician responses back into the coding review.
Explore CDI →Each coded inpatient chart is grouped into its DRG by a rules-based grouper. Review the result and the rules behind it, accept or reject it, and see it become final at lock.
Explore DRG Grouping →Connect the EMR, billing and analytics systems you already run, or your own licensed DRG grouper, through one secure API.
Explore API Integration →Illustrative time savings and product measurements help frame your business case. Validate customer outcomes and financial ROI in a pilot.
Illustrative model
40–73%
Potential time reduction per report
20–30 minutes manually compared with 8–12 minutes for focused review. Validate against your team's baseline.
A technical product metric, not a before-and-after coding accuracy result.
Pilot measures: Coding accuracy, minutes per report, throughput, rework and agreement with your coding standard.
Workflow coverage
100%
Code, status and review changes logged
Auto-audit charts, surface suggested audits and keep a record of changes. This describes product behaviour, not a customer outcome percentage.
Measure in a pilot against your current audit workflow.
Pilot measures: Audit minutes and findings per chart, reviewer agreement, false positives, rework and resolution time.
Technical product metric
98.8%
Words read correctly
A language-processing indicator, not a CDI outcome percentage. DeepMed helps teams identify missing or ambiguous clinical detail.
Measure before and after implementation in a pilot.
Pilot measures: Time per query, query yield, clarification rate, agreement with CDI reviewers and coding completeness.
DeepMed integrates with Epic, Cerner and NPHIES.
Explore integrations
Designed with coders, auditors and CDI specialists in Canada and Australia, for hospitals, health systems and payer organisations that need the reasoning behind every suggestion, not just the suggestion.
AI agents read, draft and propose. Rules validate. Your team decides.
DeepMed coordinates specialist AI agents across clinical dictation, coding, audit, CDI and DRG grouping, passing the evidence from one step to the next.
Where a decision must be deterministic - checking a code against your code list, reconciling a physician's answer, assigning a DRG - rules take over from the model. Your team stays responsible for every final decision.
Explore Agentic AI SolutionsTurn a doctor's dictation or a consented consultation into a discharge summary, note or letter, with every statement traced to its source.
Read the whole de-identified chart and suggest codes in your scheme, each with a confidence, a reason and the passage it came from.
Review every coded chart a second time: a score out of 100 and proposals to add, remove or change codes, each with its reason.
Find what the documentation does not say, rank the CDI opportunities and draft neutral, non-leading physician queries.
Pre-fill the encounter details the documents state, name what the DRG scheme still needs, and hand the approved codes to a rules-based grouper.
Exchange charts, codes, queries and DRG results with EMR, billing and analytics systems through one secure API.
Specialist agents prepare the work at each step - dictation, coding, audit, CDI and DRG - and hand it to the person who decides.
Drafts clinical documents from the doctor's own words - nothing is final until the doctor approves it.
Reads the de-identified chart, identifies diagnoses and procedures, and assists coders with codes in their own scheme.
Gives every coded chart a second review before sign-off, and leaves every decision to the auditor.
Review the documentation against the clinical evidence, draft the physician query and reconcile the answer.
An AI agent gets the chart ready; a rules-based grouper assigns the DRG; your DRG specialist decides.
Moves work in and out of DeepMed so it fits the systems you already run.
Watch how DeepMed [+] turns unstructured clinical documentation into coded, audited, query-ready intelligence - or open a demo account and put your own chart through it.
Would rather be shown around? Book a guided walkthrough →
DeepMed combines language models, clinical terminology and workflow orchestration. Specialist AI tasks prepare coding suggestions, audit findings and documentation queries, with evidence passed between stages.
Document extraction and de-identification prepare the input. AI tasks produce suggestions; code-list checks and workflow rules validate the results. Your team reviews findings and controls sign-off, with code and review changes recorded in the audit trail.
Explore Agentic AI SolutionsLanguage models interpret de-identified clinical text and prepare structured suggestions.
Clinical terminology and reference information, including ICD-10, SNOMED CT, clinical guidelines and payer policies.
Workflow stages coordinate processing, validation and follow-up through APIs and recorded status changes.
Coordinated AI tasks with configurable automation and human review before final sign-off.
Our Agentic AI healthcare platform delivers precision analytics across the clinical workflow, transforming documentation into actionable intelligence while supporting secure deployment, interoperability, and compliance.
Advanced NLP models extract diagnoses, procedures, medications, and critical findings from clinical notes, accelerating coding and documentation workflows.
Forecast discharge readiness, ED demand, readmission risk, resource needs, and clinical deterioration to support earlier intervention and better operational planning.
Deploy on-premise or in a secure cloud-hosted environment with enterprise-grade controls, audit readiness, and protected health information management.
Clinical dictation, AI-assisted coding, coding audit, CDI and DRG grouping - each powered by Agentic AI, each usable on its own, and all connected to your systems through one API.
A mobile app for doctors. Dictate, or record the consultation with consent, and review a draft written only from what was said, typed or attached. Nothing is final until the doctor approves it.
Discharge summaries, notes and letters drafted from what was said in the room or dictated, every fact with its source
“Why is this here?” shows the quote behind a line and plays the audio from that moment; critical issues hold approval
Dictates offline for recently opened encounters, encrypts every take on the phone, and exports PDF, JSON or FHIR R4
Automatically classify clinical documents and generate explainable coding suggestions using AI trained for real medical records, coding workflows, and standardized vocabularies. Code Doctor is one of DeepMed's specialized Agentic AI coding agents.
Classify diagnoses, procedures, clinical findings, medications, anatomical sites, and body systems from unstructured narratives
Generate suggested ICD-10-AM, ICD-10-CM, ICD-10-CA, SNOMED CT, CPT, and RxNorm mappings from full document context
Show supporting evidence, clinical reasoning, confidence scores, documentation gaps, and coding validation risks
An AI audit agent re-reads the de-identified chart against the selected codes, scores the coding out of 100 and proposes what to add, remove or change. Your auditor accepts or rejects every proposal.
A summary, a score and proposals - each with its reason
Accepted proposals applied to the codes; rejections need a reason
Every code change, status change, proposal and review written to the log
Score • Propose • Review • Sign off
The same AI pass that codes the chart reviews its documentation, ranks the CDI opportunities and drafts neutral, non-leading physician queries. The physician's answer comes back into the coding for a coder to accept.
Four review categories and six opportunity categories, with verbatim evidence
Queries drafted from the opportunity and its excerpts alone
A secure, expiring link for the physician - and one recorded answer
Review • Query • Answer • Reconcile
Every coded inpatient chart is grouped into its DRG by a rules-based grouper - never a language model - from the selected codes and the encounter details. Your DRG specialist reviews the result before the chart is locked for billing.
MS-DRG v44.0 and CMG+ 2022 built in; connect your licensed grouper for AR-DRG
Encounter details pre-filled from the documents by AI, with the excerpt, for the coder to confirm
Every rule cited, every calculation kept, the DRG final when the chart is locked
Prepare • Group • Review • Lock
Embed DeepMed classification, coding, extraction, and validation intelligence directly into EMRs, billing platforms, analytics tools, audit workflows, and partner applications through secure scalable APIs.
Clinical document classification APIs return structured diagnoses, procedures, findings, and entity relationships
Real-time and batch endpoints support EHR, HIS, RCM, clinical data warehouse, and analytics integrations - and connect your own licensed DRG grouper
Secure authentication, role-based access, audit logging, private cloud, on-premise, and managed cloud options
Classify • Code • Extract • Validate at scale
Document chat, payer and claims intelligence, hospital operations and virtual care.
Turn static clinical documents into an interactive AI workspace. Users can ask natural language questions, refine clinical understanding, validate documentation logic, and produce coding-ready summaries from uploaded reports.
Chat directly with discharge summaries, radiology reports, progress notes, and other clinical documents
Model Context Protocol workflow keeps document context and reasoning state across multi-step clinical analysis
Extract confirmed versus suspected diagnoses, highlight ambiguities, summarize cases, and support coder review
Ask • Extract • Validate • Code with confidence
Streamline prior authorization and eligibility decisions with AI that reviews clinical narratives against payer policy rules in real time, helping insurance teams reduce administrative friction while improving consistency and auditability.
Instant eligibility verification by matching documentation, diagnoses, procedures, and policy criteria
Policy-rule cross-referencing that supports consistent authorization decisions and clear audit trails
Fraud, abuse, and upcoding detection before claims or authorization requests move downstream
Eligibility checks • Policy matching • Fraud detection
Automatically validate healthcare claims and invoices against clinical documentation to identify unsupported charges, coding mismatches, documentation gaps, duplicate billing, and high-risk reimbursement issues.
Match billed services, procedures, and claim codes to supporting clinical evidence across multiple documents
Flag overbilling, duplicate charges, upcoding, downcoding, unsupported services, and missing medical justification
Produce risk scores, confidence levels, priority queues, and audit-ready validation reports with explanations
Validate charges • Score risk • Reduce leakage
Improve hospital throughput and patient safety with predictive models that forecast discharge readiness, emergency department demand, readmission risk, and early clinical deterioration.
Patient discharge prediction to forecast bed availability and improve turnover planning
ED waiting time modeling for dynamic staffing and capacity decisions based on intake trends
Readmission classification plus sepsis and deterioration alerts up to 72 hours in advance
Discharge • ED demand • Readmission • Deterioration alerts
Deliver exceptional virtual care with a HIPAA-compliant telehealth solution featuring integrated clinical documentation, remote patient monitoring, secure communication, and seamless EMR connectivity.
HD video consultations with integrated clinical whiteboard and real-time document sharing
Bi-directional EMR integration with Epic, Cerner, and major EHR systems
Remote patient monitoring with automated alerts for critical vitals changes
HD video • Clinical documentation • EMR integration
Advanced executive dashboards that provide deep-learning-based forecasting for population health trends, resource demand, ICU beds, ventilators, and clinical supply chain management.
Enterprise-grade document security and PHI management with AI-powered classification, version control, granular access permissions, and audit readiness.
Find tools for your organisation, whether you run a hospital, build healthcare software, review insurance claims or manage the revenue cycle.
Clinical AI across every workflow
Support hospital teams from the doctor's dictation to coding and documentation review, alongside patient flow planning and clinical analytics.
Clinical AI APIs for your platform
Stop building clinical NLP from scratch. Embed production-grade coding, classification, extraction, and validation APIs into your EMR, billing, analytics, or telehealth platform.
AI payer intelligence for smarter decisions
Check claims against clinical documentation, flag possible discrepancies and support prior authorisation reviews. Help reviewers focus on the cases that need closer attention.
Accelerate revenue, reduce denials
Close coding gaps, reduce claim denials, and accelerate reimbursement cycles with AI that automates the most time-consuming tasks in the revenue cycle workflow.
Join healthcare innovators receiving insights on clinical AI, regulatory updates, and exclusive case studies.
We respect your privacy. Unsubscribe anytime. By subscribing, you agree to our Privacy Policy.