Eliminate administrative charting overload with our ambient, AI-powered electronic medical and health records platform. Features ambient conversational scribing, autonomous ICD-10/CPT coding, predictive clinical decision support (CDSS), and continuous FHIR R4 interoperability.
A unified clinical intelligence suite built directly into your point-of-care workflow.
Listens unobtrusively to doctor-patient encounters, isolates clinical dialogue from ambient noise, and auto-generates structured SOAP notes with zero manual typing required.
Extracts clinical conditions and procedures directly from clinical narratives to recommend precise ICD-10-CM, CPT, and HCC billing codes, drastically reducing claim denials.
Continuously monitors lab trends, patient vitals, and medication charts to flag adverse drug interactions, allergic contraindications, and early onset risks such as sepsis or renal decline.
Synthesizes years of scattered hospital records, imaging reports, and external clinic notes into a 30-second executive summary tailored to the physician's immediate clinical specialty.
Computerized Physician Order Entry powered by clinical machine learning. Pre-populates relevant lab panels, imaging requests, and therapeutic protocols based on diagnostic findings.
Interactive patient intake bot collecting pre-visit medical history and symptoms, paired with post-encounter discharge instructions explained in the patient's native language.
From natural patient conversation to verified electronic record in three seamless stages.
The clinician focuses eye contact on the patient while the ambient microphone captures natural dialogue. Medical voice models filter background noises and distinguish between patient history and exam findings.
Our HIPAA-compliant medical NLP engine maps conversation snippets to standard clinical terminologies (SNOMED-CT, RxNorm, LOINC) and structures an encounter note: Subjective, Objective, Assessment, and Plan.
The physician reviews the generated note on their tablet or workstation, edits if needed with voice or keyboard, and signs off. Orders, e-prescriptions, and billing codes dispatch automatically to labs, pharmacies, and billing clearinghouses.
See the tangible shift in clinician satisfaction, revenue velocity, and diagnostic accuracy.
| Capability / Benchmark | Traditional Legacy EMR / EHR | MEDISOFTS AI-Driven EMR / EHR |
|---|---|---|
| Encounter Charting Time | Manual Typing 10–15 mins per patient + 2 hrs evening "pajama time" | Ambient Voice Completed in 30–45 seconds at point of care |
| Diagnostic & Billing Coding | Manual Lookup High denial rate (15–20%) from undercoding/delays | Automated NLP 99.4% precision with real-time ICD-10/CPT recommendations |
| Clinical Decision Support | Static Popups Intrusive modal warnings that cause severe alert fatigue | Context-Aware CDSS Prioritized alerts based on holistic lab and history trends |
| Longitudinal Record Synthesis | Manual Scrolling Paging through hundreds of scanned PDFs & legacy notes | Instant Briefing 5-second synthesized timeline of chronic conditions & vitals |
| Interoperability & Exchange | Proprietary Silos Expensive vendor lock-in and fragmented interfaces | FHIR R4 Native Seamless REST API integration with any hospital or lab network |
| Infrastructure Deployment | Monolithic High server maintenance, slow upgrades, rigid schemas | Cloud-Native / Hybrid Microservices, zero-downtime updates, multi-tenant or private VPC |
Tailored AI models trained on specialty-specific clinical vocabularies and encounter patterns.
Rapid wellness exams, multi-condition chronic disease charting (hypertension, diabetes), and proactive preventive screening reminders.
Integration with ECG telemetry, automated ejection fraction tracking, and predictive cardiac risk scoring.
Ultra-fast voice documentation, automated triage acuity indexing (ESI score), and rapid lab order dispatch.
Confidential psychiatric intake, PHQ-9/GAD-7 automated scoring, and strict behavioral health privacy access controls.
Anatomical joint examination templates, range-of-motion capture, and surgical pre-authorization documentation bundles.
Multi-facility master patient indexing (EMPI), centralized bed census forecasting, and unified enterprise EHR data lakes.
We build healthcare software with zero compromises on patient privacy, data integrity, and compliance.
Clinical data is processed in isolated memory without model caching. Patient health information (PHI) is never shared with third-party public AI models or used for unauthorized machine learning training.
We execute standard Business Associate Agreements (BAAs), implement SOC 2 Type II audit controls, and enforce role-based access control (RBAC) with granular session authentication.
Our AI serves as an intelligent assistant, not an autonomous diagnostician. Every generated note, medical code, and clinical alert requires final physician verification and electronic signature.
Key answers for healthcare executives, clinical directors, and IT architects.
Traditional EMRs act as static data entry forms where clinicians spend hours clicking checkboxes and typing notes. An AI-driven EMR/EHR actively assists: it listens to ambient clinical dialogues to draft SOAP notes, suggests exact ICD-10/CPT billing codes, flags adverse drug reactions before they occur, and condenses years of patient health history into actionable summaries.
Both. We engineer bespoke, turnkey AI-driven EMR/EHR platforms from the ground up tailored to your specialty, and we also build modular AI microservices (such as ambient voice scribes and auto-coding engines) that connect directly to existing EHRs like Epic, Cerner, Athenahealth, or custom SQL databases via FHIR R4 and HL7 APIs.
Our automated medical coding engine evaluates the complete encounter narrative against CMS coding guidelines in real time. It catches missed secondary diagnoses, verifies Hierarchical Condition Category (HCC) risk adjustment factors, and alerts coders to missing documentation prior to claim submission, reducing denial rates by up to 40%.
We support fully managed HIPAA-compliant cloud hosting (AWS Healthcare, Google Cloud Platform, Microsoft Azure Health Data Services), hybrid enterprise clouds, or on-premises deployment for hospitals requiring complete data sovereignty.
Schedule a customized 30-minute demonstration with our healthcare software engineering team.