Custom Healthcare Software Development

Custom patient-facing applications for appointment scheduling, test result delivery, secure provider messaging, care plan tracking, and medication management. Built around the patient journey for your specific care model rather than a generic EMR patient portal that satisfies compliance requirements but drives no actual adoption.

HIPAA Security Rule 45 CFR 164.312 technical safeguards are designed in from sprint one: AES-256 encryption at rest using AWS KMS for key management, TLS 1.3 for all PHI in transit, role-based access control with unique user identification, and automatic session logoff after configurable inactivity. Patient consent management captures the specific permissions a patient grants (appointment data, messaging, care plan access) and stores consent records with timestamp and version of the consent language presented. AWS HIPAA-eligible services -- Amazon Cognito for authentication, RDS for the patient data store, S3 for document storage -- are all deployed under the AWS Business Associate Agreement.

Patient matching on intake uses Levenshtein distance and Jaro-Winkler similarity algorithms to identify whether a new registration matches an existing patient record, reducing duplicate patient records that create dangerous data fragmentation in clinical settings. Audit logging via AWS CloudTrail and application-level event logging records every PHI access with user ID, timestamp, data accessed, action taken, and source IP -- the audit trail a HITRUST CSF assessor or OCR audit would require. Clean interfaces and accessible design (WCAG 2.1 AA) give patients a reason to use the portal rather than calling the front desk.

Custom software for the clinical workflows your EHR does not handle well -- care plan management, multi-disciplinary team task assignment, clinical handover documentation, escalation alerts, and outcome tracking. The workflow layer that sits alongside your EHR and handles what it cannot: the operational and coordination logic specific to your clinical programme or care model.

HL7 FHIR R4 with SMART on FHIR OAuth 2.0 scoped launch is the standard integration pattern for connecting this workflow layer to Epic, Cerner, and other FHIR-enabled EHRs. SMART on FHIR enables the application to launch in context from within the EHR workflow, receiving the patient and encounter context automatically rather than requiring clinicians to re-identify the patient in a separate system. For Epic integrations, the application can be listed in the Epic App Orchard marketplace; for Cerner, Cerner Code certification is the equivalent pathway. Both marketplace processes require demonstrated FHIR API conformance testing and security review before approval.

The ONC 21st Century Cures Act interoperability mandate requires EHR vendors to provide FHIR API access without information blocking -- this means the patient data your clinical workflow tool needs is accessible by legal right, not by vendor permission. For organisations building tools that aggregate data across multiple EHR instances (multi-site health systems, care networks), we design the data normalisation layer to handle the variation in FHIR resource implementations between vendors. Clinical interfaces are designed to reduce administrative burden through structured data entry rather than free text, reducing documentation time per encounter.

Integration middleware and data pipelines that connect your EHR -- Epic FHIR R4, Cerner Millennium, Athenahealth, HL7 v2 -- with your custom applications, external data sources, and analytics platforms. FHIR R4 RESTful API integration covers the standard resource types your use case requires: Patient, Observation, Condition, MedicationRequest, Appointment, CarePlan, and DocumentReference. HL7 v2 integration (ADT, ORU, ORM message types) handles older regional EHR systems and lab systems that have not yet implemented FHIR.

Bidirectional data sync is designed with conflict resolution logic for cases where the EHR and the custom application both hold authoritative copies of a data element. Write-back to Epic or Cerner requires specific API access levels that must be negotiated with the health system's IT team -- we scope this dependency explicitly in discovery. De-identification pipelines following HIPAA Safe Harbor (removing all 18 PHI identifiers) or Expert Determination method are built for analytics, research, and ML training use cases where downstream systems must not touch PHI.

Patient matching across systems uses Levenshtein distance and Jaro-Winkler string similarity on name fields combined with deterministic matching on date of birth and MRN to reduce false positives from phonetically similar names. The integration layer is the highest-risk component of most healthcare builds because it depends on the specific EHR version, API entitlements the health system grants, and the data quality of the source system. We scope it with explicit go/no-go criteria before development starts so there are no surprises during the build.

HIPAA-compliant video consultation platforms, asynchronous messaging tools, and remote patient monitoring integrations -- built for the specific workflows your clinical team follows rather than a generic video call with a health label on it. Video infrastructure uses HIPAA-eligible providers (Daily.co, Twilio Video with BAA, or Amazon Chime SDK) rather than consumer video tools that do not support a BAA. The consultation workflow is designed around your clinical protocol: pre-visit intake form, automated eligibility and copay check where applicable, structured clinical documentation during the visit, and post-visit care instructions pushed to the patient portal.

Remote patient monitoring platforms integrate with wearable and home monitoring devices -- Apple HealthKit, Fitbit Health Solutions API, Withings BPM Connect for blood pressure, Dexcom G7 API for continuous glucose monitoring -- collecting readings into a provider dashboard that surfaces the patients with readings outside their target range. Alert management uses configurable threshold rules (e.g., systolic BP above 160 for three consecutive readings triggers a clinical outreach task) with AI-assisted prioritisation that identifies deterioration trajectories before individual readings breach hard thresholds.

AWS HIPAA-eligible services underpin the RPM infrastructure: Lambda for the real-time alert processing pipeline, RDS for the patient reading store, S3 with server-side encryption for device data archives, and SNS for alert notifications to clinical staff. HITRUST CSF certification is the most rigorous third-party validation for health tech products that need to demonstrate compliance posture to health system procurement teams -- we design the technical controls to meet HITRUST CSF requirements from the start, reducing the gap assessment scope when certification is pursued.

AI capabilities are deployed within HIPAA-eligible environments where PHI stays within the compliance boundary. AWS Bedrock with BAA coverage provides access to foundation models (Anthropic Claude, Amazon Titan) for clinical documentation assistance without sending patient data to consumer AI endpoints. Clinical documentation assistance captures structured data from the clinical encounter -- diagnosis codes, medication changes, follow-up instructions -- and drafts a note in the provider's preferred format for review and approval. The provider reviews and signs; the AI removes the documentation burden without replacing clinical judgment.

Prior authorisation automation uses NLP to extract the required clinical criteria from payer guidelines and matches them against the patient's clinical record, pre-populating the authorisation request with the supporting evidence. Patient risk stratification models run on the longitudinal patient data in the platform to identify patients at risk of deterioration, hospital readmission within 30 days, or care gap accumulation -- outputs surface as prioritised outreach tasks in the provider workflow rather than raw model scores.

Penetration testing per the OWASP Healthcare Security Testing Guide is conducted before production launch: FHIR API security testing, injection vulnerability testing on any clinical data input paths, authentication and session management review, and PHI leakage testing on API responses. Operational automation covers the administrative processes that consume clinical team time: appointment reminder sequences, referral document routing via Direct messaging protocol, insurance eligibility verification via Availity API, and billing data preparation for claim submission.

For digital health companies and health tech startups building software products to sell to health systems, payers, or direct-to-consumer. Product architecture, HIPAA-aware infrastructure, EMR integration design, and regulatory classification guidance are all part of the engagement. The ONC 21st Century Cures Act interoperability requirements mean any product that integrates with a certified EHR system must not engage in information blocking -- we design the data sharing architecture to satisfy this requirement from the start rather than discovering it during health system procurement review.

For products with clinical decision support or diagnostic functions, FDA Software as a Medical Device (SaMD) classification under the Digital Health Center of Excellence framework determines whether FDA submission is required. We advise on classification during discovery based on the product's intended use -- whether it falls under the Clinical Decision Support Software policy (exempt from FDA oversight) or requires a 510(k) or De Novo submission. Architecture decisions around labelling, intended use documentation, and design controls are made with the regulatory pathway in mind.

HITRUST CSF certification is the credentialling pathway most health system procurement teams recognise when evaluating new vendors. The HITRUST r2 assessment covers 325+ controls across 19 control categories. We design the technical controls to meet HITRUST requirements from day one -- reducing the gap between what was built and what the assessor requires. The full product build from discovery through launch includes compliance documentation support, not just technical delivery, so your team is not figuring out the compliance posture after the product ships.