10decodersCommunity Health Clinic Replaces Manual Documentation with EMR Copilot
A primary care practice embedded 10decoders' EMR Copilot directly into their openEMR workflow — letting providers draft complete SOAP notes, generate ICD-10 and CPT billing codes, and access full patient context in one click, without leaving the encounter screen or switching tools.
Documentation overhead stealing time from patient care — replaced by an AI copilot inside every encounter.
Primary care providers face a well-documented crisis: administrative tasks — particularly clinical documentation and billing code lookup — consume more time than actual patient encounters, driving burnout and reducing appointment capacity. At a community health clinic running on openEMR, providers spent 15–20 minutes per patient manually writing SOAP notes from scratch, even for routine encounters where the patient's history and vitals were already in the system. ICD-10 and CPT codes were looked up in separate external tools, introducing transcription errors and adding time to every visit close. Reviewing full patient context — medications, diagnoses, lab results, visit history — required navigating multiple openEMR tabs and adding cognitive load to each encounter.
10decoders embedded EMR Copilot directly into the openEMR encounter workflow as a persistent AI sidebar — no tab switching, no external tools. Providers click one pre-built action or type any clinical question in plain language. Copilot reads the live patient record and generates a complete SOAP note ready for insertion, surfaces the exact ICD-10 and CPT codes for the visit, or summarizes the patient's full history from a single question — with every answer sourced from and cited to the openEMR record. Documentation time drops from 15–20 minutes to seconds. Code lookup becomes a single Copilot question. Patient context is one sidebar away from any encounter screen.
Two actions. Seconds. Complete documentation and billing — done.
EMR Copilot reads live openEMR data and responds inside the encounter — SOAP notes and billing codes generated from the patient record, not written from scratch.
Complete SOAP Note from Live Encounter Data
The provider clicks "Draft a SOAP note." EMR Copilot reads the current encounter — vitals, diagnoses, medications, lab results, and history from openEMR — and generates a complete Subjective, Objective, Assessment, and Plan note ready for one-click insertion into the SOAP tab.
Billing Codes from Encounter Context — No Lookup Required
The provider asks for billing codes. EMR Copilot reads the encounter diagnoses and service complexity, surfaces the exact ICD-10 diagnosis codes and CPT procedure code, and populates them directly into the openEMR Fee Sheet — eliminating manual code lookup and transcription entirely.
Six AI actions inside every openEMR encounter
EMR Copilot gives providers five pre-built clinical actions and an open Q&A engine — all reading from the live patient record, all delivering output that inserts directly into the EHR.
1-Click SOAP Note Drafting
Copilot generates a complete Subjective, Objective, Assessment, and Plan note from the current encounter's vitals, diagnoses, medications, and history — in seconds. Providers review, adjust if needed, and click Insert. Notes that took 15–20 minutes to write now close in under a minute.
ICD-10 & CPT Code Generation
Copilot reads the encounter's active diagnoses and service complexity and surfaces the appropriate ICD-10 diagnosis codes and CPT procedure code — with descriptions and fee amounts — ready to populate the openEMR Fee Sheet directly. No external code lookup tool, no transcription, no tab switching.
Patient History Summary
One question returns a complete patient summary — active diagnoses, current medications, documented allergies, and recent encounter context — sourced from and cited to the openEMR record. Providers get the full clinical picture without navigating multiple EHR tabs during an encounter.
Current Vital Signs Access
Providers ask for current vitals in plain language. Copilot returns the latest recorded vital signs from the encounter — BP, HR, respiratory rate, temperature, SpO2, and BMI — immediately visible in the sidebar without switching to the vitals tab or scrolling the encounter record.
Current Medications at a Glance
A single Copilot question returns the patient's complete active medication list — drug name, strength, and formulation — from the openEMR prescription record. Particularly useful for complex patients on multiple medications when verifying current regimens during an encounter.
Open Clinical Q&A Engine
Beyond the pre-built actions, providers can ask any clinical question in plain language. Copilot answers from the patient's openEMR record — lab trends, diagnosis history, prior encounter notes — citing the source of every answer so providers can verify context directly in the EHR.
The Problem, and How EMR Copilot Solved It
15–20 minutes per patient writing SOAP notes, manual code lookup in external tools, and patient context scattered across multiple EHR tabs — documentation overhead exceeding face time with patients.
The Challenge
- Providers spent 15–20 minutes per patient manually writing Subjective, Objective, Assessment, and Plan sections for every encounter — even routine visits where the patient's history, vitals, and medications were already fully documented in openEMR and available to any tool that could read them
- ICD-10 diagnosis codes and CPT procedure codes were looked up in separate tools outside the EHR after every encounter — adding time to every visit close, introducing transcription errors between lookup tool and Fee Sheet, and contributing to claim denials from code mismatches with encounter diagnoses
- Reviewing a patient's full clinical picture — current medications, active diagnoses, recent lab results, and multi-year visit history — required navigating multiple separate openEMR tabs simultaneously, adding significant cognitive load and context-switching overhead to every encounter
EMR Copilot's Approach
- Embedded a 1-click SOAP note generator as a persistent sidebar in every openEMR encounter — Copilot reads the live patient record, generates all four SOAP sections in seconds, and inserts them directly into the SOAP tab with one click, cutting documentation time from 15–20 minutes to under a minute per encounter
- Built a context-aware billing code engine that reads the encounter's active diagnoses and service complexity, surfaces the exact ICD-10 and CPT codes, and populates them directly into the openEMR Fee Sheet — eliminating external lookup tools, transcription steps, and the code mismatch errors that caused claim denials
- Delivered a full patient context engine through the same Copilot sidebar — providers ask any clinical question in plain language and get sourced, cited answers from the patient's own openEMR record, eliminating multi-tab navigation and making the full clinical picture accessible from one persistent sidebar in every encounter
Clinical documentation and billing — both handled by one sidebar.
EMR Copilot serves both the clinical and the billing side of every encounter — providers get documentation assistance while the same tool simultaneously handles charge capture and code generation.
From 15-Minute Notes to 1-Click Drafts
- 1-click SOAP note generation — complete S/O/A/P drafted from live encounter data, reviewed, and inserted into the SOAP tab without typing a word
- Patient history, active medications, allergies, and vital signs — all accessible through a single Copilot question, sourced from the openEMR record without navigating separate tabs
- Open clinical Q&A for any encounter question — lab trends, prior encounter context, diagnosis history — answered in plain English from the patient's own record, every answer cited
- Persistent sidebar visible in every encounter screen — no setup per visit, no tab switching, no external tools needed throughout the full encounter workflow
ICD-10 & CPT Codes — Without the Lookup
- Context-aware ICD-10 code generation — diagnoses read from the encounter and matched to the correct codes (J32.9, E66.9, Z74.3, M81.0, Z59.7) with descriptions and billing context
- CPT code suggestion based on service complexity — 99213 for established patient, low-moderate complexity — with fee amount, directly inserted into the openEMR Fee Sheet for review
- Eliminates external lookup tools — codes sourced from encounter context and inserted directly, removing transcription errors between lookup tool and EHR that caused prior-period claim denials
- Every code suggestion cites the encounter source — providers verify context before inserting, maintaining physician accountability and supporting audit-readiness for payer review
Open the encounter. Ask Copilot. Documentation done in seconds.
EMR Copilot integrates directly into the openEMR encounter flow — no context switching, no separate tools. The AI reads live patient data and delivers documentation-ready output inside the same screen the provider is already on.
Manual Notes, External Lookup, Multi-Tab Context
15–20 minutes per patient writing SOAP notes from scratch. ICD-10/CPT codes looked up in external tools after every encounter. Patient context required navigating multiple openEMR tabs simultaneously throughout the visit.
1-Click SOAP → Code Generation → Insert
Persistent AI sidebar in every encounter. Provider clicks Draft SOAP note — generated in seconds, inserted with one click. Billing codes suggested from encounter context, inserted into Fee Sheet. Full patient context from a single question.
Documentation in Seconds. Zero Code Lookup.
SOAP notes drafted in under a minute. ICD-10 and CPT codes from the encounter — no external lookup, no transcription errors. Full patient context accessible from one sidebar. Time saved returned to patient care.
What EMR Copilot Delivers
EMR Copilot Plugin for openEMR
A persistent AI sidebar embedded in every openEMR patient encounter screen — context-aware, always available, and actionable without switching tabs or launching external tools. Built as a native plugin that reads live encounter data without requiring any workflow changes from providers.
1-Click SOAP Note Drafting
Complete Subjective, Objective, Assessment, and Plan sections generated from live openEMR encounter data — with direct one-click insertion into the SOAP tab. Notes that took 15–20 minutes to write from scratch are now drafted in seconds and ready for provider review and sign-off.
Billing Code Generator
Context-aware ICD-10 diagnosis codes and CPT procedure codes generated from the current encounter's active diagnoses and service complexity — inserted directly into the openEMR Fee Sheet for review and submission, eliminating external code lookup and transcription-step denials.
Clinical Q&A Engine
Natural language answers about patient history, current medications, vital signs, active diagnoses, and lab results — sourced from and cited to the patient's own openEMR record. Every answer includes the encounter or document source so providers can verify context and maintain clinical accountability.
Impact Across the Clinic
Documentation Time: 15 Minutes to Seconds
SOAP notes that required 15–20 minutes of manual writing per patient now draft in seconds. Providers review, adjust if needed, and click Insert — spending the time saved back with patients rather than at the keyboard after every visit.
Zero Code Lookup Friction. Fewer Denials.
ICD-10 and CPT codes are suggested from encounter context and inserted directly into the Fee Sheet — eliminating external lookup tools, removing the transcription step where code mismatches occurred, and reducing claim denials attributable to post-encounter code errors.
Full Patient Context from One Sidebar
History, medications, vital signs, active diagnoses, and lab results are accessible through a single Copilot question during any encounter — eliminating multi-tab navigation, reducing per-encounter cognitive load, and enabling providers to see more patients with the same documentation accuracy.
