EHR Software Development Company

Specialty-specific EHR built around your clinical model, not a generic system that your specialty is expected to adapt to. The data model is designed from clinical requirements first: what structured data your clinicians need to capture at each encounter type, what coded vocabularies apply (SNOMED CT for clinical findings and diagnoses, LOINC for observations and lab results, RxNorm for medications, ICD-10-CM for billing diagnoses, CPT for procedure coding), and how free-text clinical reasoning integrates with structured fields.

Configurable clinical templates support specialty-specific intake workflows: a mental health intake captures PHQ-9 and GAD-7 scores with automated severity interpretation, a dermatology encounter captures lesion morphology with structured field options mapped to SNOMED CT body site and morphology codes, a physical therapy evaluation captures ROM measurements, functional status scores, and goal tracking. SOAP note structures are built for your specialty's documentation pattern rather than a generic medical note format -- the way a psychiatrist documents a medication management visit is fundamentally different from how an orthopedic surgeon documents a post-operative follow-up.

Assessment scoring tools calculate validated instrument scores automatically from structured responses: PHQ-9 depression severity, GAD-7 anxiety severity, AUDIT-C for alcohol use, and specialty-specific functional assessments. Progress notes display the trend of these scores over time. The data model supports both structured coded values and free-text narrative in the same note, because clinical documentation always requires both -- the structured values feed reporting and billing; the free text captures the clinical reasoning that structured fields cannot encode.

Read and write patient data from your existing EMR without replacing it. For Epic, Cerner, and Athenahealth, we implement FHIR R4 API integrations using the SMART on FHIR OAuth 2.0 authorization flow to handle launch context and token management. The specific FHIR resources used depend on the data flow: Patient and Coverage resources for demographics and insurance, Encounter resources for visit context, Observation resources (with LOINC codes) for clinical measurements and lab results, MedicationRequest and MedicationStatement resources for prescribing and medication history, Condition resources for diagnoses, and DocumentReference or DiagnosticReport resources for pushing structured notes and reports back post-encounter.

For older regional EMR systems that predate FHIR -- or Epic and Cerner versions configured without FHIR API access -- HL7 v2 message exchange handles integration: ADT A01 and A08 for admissions and demographic updates, ORU R01 for lab results delivery, ORM O01 for order workflows, and MDM T02 for document events. These require an integration engine (Mirth Connect, Azure Health Data Services, or InterSystems HealthShare) to handle message routing, field mapping, and acknowledgment management. For transitions of care where a structured summary document is required by the receiving system, we generate CCD (Continuity of Care Document) or C-CDA documents conformant to the ONC US Core Data for Interoperability (USCDI) standard.

ONC certification criteria under 21st Century Cures Act interoperability requirements are relevant for any EHR seeking Certified HIT certification -- if your product will be marketed with ONC certification claims, we can build to those criteria. Integration complexity is the part of EHR builds most often underestimated at the scoping stage, so we define the exact resources, message types, authorization flow, and data transformation requirements during discovery before committing to a timeline or price.

Configurable note templates that adapt to the encounter type and clinical context. Auto-population pulls patient demographics, active diagnoses from the Condition resource list, current medications from MedicationRequest resources, allergy and adverse reaction records, and the prior visit summary from the most recent DocumentReference so clinicians start the note from a complete context rather than a blank form. Re-entering known information at every encounter is one of the largest sources of clinician time waste -- auto-population removes it for the structured data that is already in the record.

Dictation support for free-text note fields uses Web Speech API for browser-based dictation or integrates with dedicated medical dictation services (Nuance Dragon Medical, AWS Transcribe Medical) for higher accuracy on medical terminology and drug names. SOAP note structure enforces the Subjective/Objective/Assessment/Plan separation in the data model while allowing free text within each section, so notes are both human-readable narratives and structured, queryable data.

Sign-off workflows support supervised practice models: residents, nurse practitioners under physician supervision, and students completing their clinical training. Co-signature requirements are configurable per role and encounter type. The note remains in a pending state visible to the supervising clinician until co-signed, with a queue dashboard showing outstanding co-signature requests by supervising provider. All documentation stores a complete audit trail: who created the note, what was entered, any amendments made after initial sign-off, who co-signed, and the timestamp of each state transition -- required for medico-legal documentation integrity and HIPAA audit log requirements.

A complete patient record layer built on FHIR R4 resource types that provide a structured, interoperable foundation. Demographic data uses the FHIR Patient resource with support for multiple name variants and legal name changes -- name matching algorithms using Jaro-Winkler similarity scoring handle the name variation scenarios (hyphenated names, name changes, non-Latin characters) that cause patient record merging failures in simpler implementations. Date of birth and zip code are used alongside name similarity in the probabilistic matching model to reduce false matches.

Encounter history links each visit record to its associated documentation, orders, and results. Lab results display against LOINC-coded analytes with reference ranges appropriate to the patient's age and sex. Imaging study links store DICOM study references accessible via your PACS integration. Allergy and adverse reaction lists use RxNorm drug codes and SNOMED CT reaction codes for structured, interoperable allergy documentation rather than free-text entries that cannot be de-duplicated or checked against formulary data. Active and historical medication lists use MedicationRequest and MedicationStatement FHIR resources with RxNorm coding for drug identity, dose, route, and frequency.

Configurable problem lists use ICD-10-CM codes with onset date, status, and clinical notes. Diagnosis histories capture the full chronological record with context -- not just a code list. Role-based access control applies the HIPAA minimum necessary standard: nursing staff see the clinical record relevant to active care; billing staff see the insurance and coding data without full clinical note access; administrative staff see scheduling and demographic data without clinical content. Every record view, every edit, and every export generates an audit log entry stored in tamper-evident append-only storage.

Electronic prescribing integration with Surescripts, the dominant e-Rx network connecting prescribers to over 96% of US retail pharmacies. Surescripts integration handles NewRx (new prescription), RefillRequest and RefillResponse (pharmacy-initiated refill requests), RxChange (prescription change requests from pharmacy), and CancelRx (cancellation workflow) transaction types using NCPDP SCRIPT standard messaging. The prescriber's DEA number and NPI are embedded in controlled substance prescriptions; states participating in EPCS (Electronic Prescribing for Controlled Substances) require two-factor authentication at the point of prescribing, which we implement using EPCS-compliant token-based authentication per DEA 21 CFR Part 1311 requirements.

Formulary checking at prescribing time queries the patient's current payer formulary data (via Surescripts formulary and benefit integration) to show tier status, co-pay estimate, and available generic alternatives so the prescriber can choose the most cost-effective option for the patient at the point of prescribing rather than after a pharmacy rejection. Drug-drug and drug-allergy interaction alerts use First Databank (FDB) or Multum clinical drug database integration for real-time interaction checking against the patient's active medication list.

Medication reconciliation at each encounter compares the medication list in the EHR against pharmacy fill history retrieved via Surescripts medication history to identify discrepancies -- drugs the patient is taking but not on the list, drugs on the list the patient has stopped filling. Refill management workflows automate the clinical review queue for common chronic medication refills: the prescription renewal request appears in the provider's queue with the patient's last visit date, last labs relevant to the medication, and pharmacy-requested refill quantity, so the prescriber can approve with one click or request a visit if clinical review is warranted.

CPT and ICD-10-CM code suggestion using NLP applied to the clinical note content -- identifying documented diagnoses, procedures performed, and Evaluation and Management level based on documented complexity of medical decision-making. Suggested codes are presented as a reviewable list rather than auto-applied, so the coding team reviews and confirms rather than accepting blindly. ICD-10-CM code validation checks that selected codes are valid for the current fiscal year, are appropriate for the patient's age and sex, and do not conflict with CCI (Correct Coding Initiative) edits that would cause the claim to be rejected at clearinghouse.

Charge capture directly from the encounter record ensures that documented procedures are converted to charges without requiring the clinician or billing team to re-enter what the note already contains. Charge entry closes the loop between the clinical note and the billing record, so nothing falls through the gap between documentation and billing. The encounter record drives the superbill, not a separate charge entry workflow.

Clearinghouse integration uses HIPAA 5010 EDI 837P (professional) or 837I (institutional) for claim submission via Change Healthcare, Availity, or Waystar. Electronic Remittance Advice (ERA) via X12 835 transactions feeds automated payment posting: matched payments are applied to the correct encounter; contractual adjustments are applied per the payer's contract rates; and unmatched payments are flagged for billing team review. Secondary claim submission triggers automatically from the primary payer's ERA when secondary coverage is present. Rejection handling maps X12 277 rejection codes to actionable correction steps, routing the rejected claim to the appropriate queue with the fix suggested rather than leaving the billing team to interpret codes manually.