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EHR / EMR Development
Custom electronic health and medical record systems that digitize patient data, streamline clinical workflows, and give care teams a single source of truth built to your specialty, workflow, and compliance requirements.
AI-Enabled Healthcare Software Development Solution
We build custom healthcare software from HIPAA-compliant EHR and EMR systems to telemedicine platforms, patient engagement tools, and AI-integrated clinical applications for hospitals, health systems, digital health startups, and healthcare operators that need production-ready software built around how care actually gets delivered. Our healthcare software development team combines deep compliance knowledge, AI-integrated architecture, and a track record of delivering platforms that pass audits and get used by the clinical staff they were built for.
13+
Years of Experience
50+
Experts in Our Team
40+
Happy Customers Worldwide
250+
Projects Delivered Successfully
4.9/5 ratings
5/5 ratings
What We Build for Healthcare Organizations
Solvios is a healthcare software development company building custom EHR and EMR systems, telemedicine platforms, patient engagement applications, remote patient monitoring tools, medical billing software, and AI-integrated clinical decision support for hospitals, health systems, digital health startups, and healthcare operators. We work across the full healthcare technology stack web, mobile, cloud, and AI with HIPAA compliance, HL7 FHIR integration, and clinical workflow understanding built into every engagement from day one.
Telemedicine Platform Development
End-to-end telehealth platforms for video consultations, asynchronous messaging, remote prescribing, and patient scheduling built for the compliance posture and clinical workflow requirements that generic video tools ignore.
Patient Engagement Software
Patient portal applications, appointment management systems, health education tools, and care plan tracking designed to reduce no-shows, improve adherence, and keep patients connected to their care team between visits.
Remote Patient Monitoring (RPM)
IoT-connected monitoring platforms that capture wearable and device data, surface clinical alerts for care teams, and enable proactive intervention before a condition escalates to an emergency visit.
Medical Billing & RCM Software
Revenue cycle management and medical billing platforms that automate claims processing, reduce denials, verify insurance eligibility in real time, and give billing teams visibility into the entire revenue lifecycle.
Why Healthcare Organizations Come to Us
Healthcare software projects fail at a higher rate than almost any other category not because the technology is inherently harder, but because most development teams underestimate the compliance requirements, misread the clinical workflow, and treat HIPAA as a checkbox rather than an architecture constraint. We have spent 13 years building in this category. Here is what we actually see when we start a healthcare software engagement.
HIPAA Compliance Treated as an Afterthought
Most development teams build the product first and try to make it HIPAA-compliant later. That never works cleanly. HIPAA compliance is an architecture decision that affects how PHI flows through the system, where it is stored, how it is encrypted, who can access it, and what the audit trail looks like. Retrofitting compliance into a system that was not designed for it is expensive, time-consuming, and often results in residual risk that survives into production.
EHR Integrations That Break Every Quarter
HL7 FHIR, HL7 v2, and legacy EHR API integrations are the most common point of failure in healthcare software projects. Epic, Cerner, Athenahealth, and Allscripts all have their own integration quirks, version dependencies, and certification requirements. Development teams that have not done this before spend months discovering problems that experienced healthcare engineers catch in the first week of discovery.
Clinical Workflows That Don't Match How Care Is Actually Delivered
Healthcare software built by people who have never spent time in a clinical environment reflects it. Workflows that make sense on a whiteboard don't survive contact with how physicians actually document, how nurses actually hand off, or how administrators actually schedule. The result is software that clinical staff route around not because it is technically broken but because it does not fit how care is actually delivered.
Interoperability Gaps Between Disconnected Systems
The average hospital runs 16 or more separate software systems. Patient data is fragmented across the EHR, billing platform, lab system, pharmacy system, scheduling tool, and patient portal none of which talk to each other reliably. Care decisions get made with incomplete information because the data exists but is not accessible at the point of care. Every integration project that should take six weeks takes six months because no one mapped the data model before the build started.
Regulatory Change and Compliance Drift
HIPAA, the 21st Century Cures Act, CMS interoperability rules, and state-level health data privacy regulations are not static. Healthcare software that was compliant at launch drifts out of compliance as regulations evolve and the software does not keep up. Most healthcare organizations do not discover the drift until an audit, a breach, or a patient complaint surfaces the gap. The compliance posture needs to be maintained continuously, not certified once.
Healthcare Software Development Services We Deliver
Every healthcare software engagement starts with the clinical workflow, the compliance obligations, and the integration landscape not with a feature list. The software is built to fit how care is delivered in your organization, not around a generic healthcare product template.
Custom electronic health and medical record systems for hospitals, specialty practices, behavioral health providers, and outpatient clinics built around your specific documentation workflow, specialty-specific data capture requirements, and compliance obligations. We do not adapt a generic EHR template to your workflow. We build the data model, the clinical documentation flows, and the reporting layer from your actual operational reality.
Specialty-specific clinical documentation
Configurable note templates, structured data capture, and documentation workflows built for your specialty primary care, behavioral health, oncology, urgent care, or custom rather than generic SOAP notes that clinical staff spend their day working around.
HL7 FHIR and legacy EHR integration
Bidirectional data exchange with Epic, Cerner, Athenahealth, Allscripts, and other systems via HL7 FHIR R4, HL7 v2, and vendor-specific APIs with the data mapping, normalization, and error handling that keeps integration stable over time.
HIPAA-compliant data architecture
PHI storage, encryption at rest and in transit, role-based access controls, minimum necessary access enforcement, and a full audit trail on every data access and modification event built into the architecture, not bolted on before go-live.
Clinical decision support
Drug interaction alerts, diagnostic support tools, care gap identification, and clinical guideline integration surfaced at the point of documentation helping clinicians make better decisions without adding to the documentation burden.
End-to-end telehealth platforms for synchronous video consultations, asynchronous messaging, remote prescribing, and digital-first care delivery built for the compliance posture and clinical workflow integration that separates real telehealth infrastructure from a video conferencing tool with a healthcare logo on it. We have built telemedicine platforms from the ground up and we know where the complexity actually lives: scheduling logic, EHR integration, prescription workflows, and state-by-state telehealth regulation.
Synchronous and asynchronous care delivery
HIPAA-compliant video consultation, secure messaging, store-and-forward for asynchronous review, and hybrid care workflows that let clinicians choose the right modality for the clinical situation.
EHR integration and clinical documentation
Real-time chart access during consultations, automated note generation, and bidirectional EHR sync so the telehealth encounter lives in the patient record alongside in-person visits not in a separate system.
Scheduling, consent, and intake workflows
Self-service patient scheduling, digital consent capture, pre-visit intake forms, insurance eligibility verification, and automated reminders reducing administrative friction on both sides of the consultation.
Multi-state compliance architecture
Telehealth regulations vary significantly by state for prescribing, provider licensure, and consent requirements. We build compliance logic into the platform so the workflow adapts to the patient and provider's location automatically.
Patient portal applications, appointment and care plan management tools, health education platforms, and digital communication systems that keep patients connected to their care team between visits. Patient engagement software built by clinical teams gets used. Patient engagement software built by technology teams that have not spent time in healthcare often doesn't. The difference is in the workflow assumptions and we have learned them.
Patient portal and self-service access
Secure messaging with the care team, lab result delivery, prescription refill requests, appointment scheduling, and visit summary access all accessible on web and mobile with HIPAA-compliant authentication.
Care plan and chronic disease management
Structured care plans, medication adherence tracking, symptom logging, and goal tracking for patients managing chronic conditions with automated alerts to the care team when data indicates the patient is trending off track.
Appointment management and reminders
Self-scheduling, automated SMS and email reminders, waitlist management, and no-show tracking reducing administrative call volume and improving appointment utilization for practices and health systems.
Health education and onboarding content
Condition-specific education content, post-visit instruction delivery, and onboarding flows for new patients delivered through the patient portal and designed to improve treatment adherence without adding staff workload.
IoT-connected monitoring platforms that capture data from wearable devices, connected medical equipment, and patient-reported outcomes surface clinical alerts for care teams, and enable proactive intervention before a condition deteriorates. RPM software is one of the most technically demanding categories in healthcare software development because it requires real-time data ingestion at scale, meaningful alert logic that does not flood clinical staff with false positives, and EHR integration that puts the data where clinicians actually look.
Device and wearable integration
Data ingestion from Bluetooth and cellular-connected devices blood pressure monitors, glucometers, pulse oximeters, continuous glucose monitors, cardiac monitors, and wearables normalized into a consistent clinical data model regardless of device manufacturer.
Clinical alert logic and threshold management
Configurable alert thresholds per patient and condition, alert routing to the appropriate care team member, and alert fatigue management so clinicians receive actionable alerts, not noise.
Patient-facing mobile application
Simple patient-facing apps for device pairing, data submission, symptom logging, and communication with the care team designed for patients across the digital literacy spectrum, including older adults who are the primary RPM population.
EHR integration and clinical dashboard
RPM data surfaced in the EHR workflow alongside clinical notes and lab results not in a separate monitoring tool that requires clinicians to check a second screen to get the full patient picture.
Medical billing platforms, revenue cycle management systems, and practice management tools that automate claims processing, reduce denial rates, verify insurance eligibility in real time, and give billing teams visibility across the entire revenue lifecycle. Medical billing software is where healthcare operations lose money quietly through denials that were avoidable, eligibility errors caught after the visit, and manual processes that slow cash flow. We build billing systems that surface these problems before they cost money.
Claims processing and submission automation
Automated claim scrubbing, CPT and ICD-10 coding validation, payer-specific formatting, electronic submission via clearinghouse integration, and status tracking from submission through payment reducing denial rates from manual coding errors.
Insurance eligibility verification
Real-time eligibility checks at scheduling and day-of-service, automated benefit display, copay calculation, and prior authorization tracking so the billing team knows the patient's coverage before the encounter, not after.
Denial management and appeals workflow
Automated denial categorization, root cause analysis, appeals workflow management, and payer response tracking so denials become a managed process rather than a pile of exception work that ages into write-offs.
Financial reporting and analytics
Revenue cycle KPIs, payer performance analysis, denial trending, days in AR tracking, and collection rate reporting giving practice administrators and CFOs the visibility they need to manage financial performance proactively.
AI-integrated healthcare software where machine learning and clinical AI capabilities are built into the architecture from day one not added as a feature after the product is already in production. Clinical decision support, diagnostic assistance, predictive analytics for care management, NLP-based clinical documentation, and intelligent prior authorization workflows for healthcare organizations that want AI to improve care outcomes, not just automate administrative tasks.
AI-assisted clinical documentation
Ambient documentation tools that generate structured clinical notes from the patient-clinician conversation, reducing documentation burden without reducing documentation quality one of the highest-value AI applications in clinical settings.
Predictive analytics for care management
ML models trained on clinical data that identify patients at high risk of readmission, care gaps, chronic disease progression, or emergency department utilization enabling proactive outreach before the adverse event occurs.
NLP-based clinical data extraction
Natural language processing pipelines that extract structured clinical data from unstructured notes, discharge summaries, and referral letters feeding the analytics and care management workflows that depend on consistent data.
Intelligent prior authorization
AI-assisted prior authorization workflows that match clinical documentation to payer criteria, identify missing information before submission, and predict authorization approval probability reducing the administrative burden that delays patient care.
We Build for Every Healthcare Stakeholder
Healthcare is not one buyer type. The software a hospital system needs looks different from what a specialty practice needs, which looks different from what a digital health startup is building. We have worked across all of them. Here is what we build for each.
Hospitals & Health Systems
Enterprise healthcare software for large clinical operations custom EHR modules, department-specific clinical tools, patient flow management, clinical analytics, and interoperability infrastructure connecting the dozens of systems a modern hospital runs. We understand the procurement complexity, the IT governance requirements, and the clinical change management that determines whether enterprise healthcare software gets adopted or abandoned.
Specialty Medical Practices
Purpose-built practice management and clinical documentation tools for specialty practices behavioral health, oncology, dermatology, cardiology, urgent care, and others. Specialty practices need software built around their specific documentation workflow and coding requirements, not a generic EHR that forces them to document in a workflow designed for primary care.
Digital Health Startups & Founders
Product engineering for founders building new healthcare technology products from MVP architecture and HIPAA compliance baseline through clinical validation, growth engineering, and platform scaling. We understand the regulatory landscape, the EHR integration requirements, and the clinical workflow considerations that determine whether a digital health product gets adopted by health systems or remains a pilot forever.
Telehealth & Virtual Care Providers
End-to-end technology infrastructure for telehealth providers, video consultation platforms, asynchronous care tools, RPM integration, and the clinical and administrative workflows that support a digital-first care model. We have built for telehealth providers competing in regulated markets and know what the compliance and licensure architecture needs to look like.
Healthcare Technology Companies (HealthTech ISVs)
Custom development for healthcare technology companies building point solutions, clinical decision support, population health tools, revenue cycle products, care coordination platforms, and patient engagement applications that need to integrate with existing EHR systems and meet the security and compliance bar that health system procurement requires.
Pharmaceutical & Biomedical Research Organizations
Software platforms for pharmaceutical sales operations, clinical trial data management, biomedical research workflows, and healthcare provider engagement tracking. We have built for this segment specifically the Pharma Sales and Doctor Investment Tracking platform and the Biomedical Research Organization website modernization in our case studies reflect real delivery in this vertical.
Why Modern Teams Choose Us as Their Healthcare Software Development Company
Explore how we help healthcare organizations and digital health companies build software that passes compliance audits, integrates with clinical systems, and gets used by the clinicians and patients it was built for.
0102
Building a Pharmaceutical Sales & Doctor Investment Tracking Platform
A pharmaceutical sales and distribution company lacked visibility into how doctor engagement investments translated into medicine sales with data scattered across spreadsheets, stockist reports and manual records. We built a custom web platform that unified product sales data, stockist performance and doctor-level investment records into a single system delivering a real-time management dashboard, ROI measurement across doctor engagement activities and WhatsApp API integration for instant communication, giving the sales team data-driven visibility into what was actually driving prescription volumes.
0202
From Desktop to Cloud: Re-Platforming Two Decades of Allied-Health Practice Management
A mature practice-management product trusted by physiotherapy and audiology clinics across New Zealand, Australia, and the United Kingdom was locked to the Windows desktop — installed machine by machine, updated by installer, and impossible to use from a browser or a second site. Solvios re-platformed it onto a modern cloud architecture: an Angular 18 front end over a versioned .NET 10 domain API on Oracle, with SignalR real-time scheduling, per-region billing compliance for ACC, Medicare, and UK private, AI-assisted clinical notes, HL7 messaging, and continuous delivery on AWS — carrying forward two decades of clinical and billing logic without disrupting a single live clinic.
Building Healthcare Software? Talk to a Team That Knows What HIPAA Actually Requires.
We will map your compliance requirements, identify the EHR integration dependencies, and give you an honest architecture path before any code is written. Response within 24 hours.
What We Build Into Every Healthcare Platform
These are not aspirational features they are the capabilities that healthcare software requires to function in a real clinical environment, pass a compliance audit, and maintain the trust of the patients and clinicians who depend on it.
HIPAA-Compliant Data Architecture
PHI encryption at rest and in transit, minimum necessary access enforcement, role-based access controls, automatic session timeouts, and business associate agreement support built into the data architecture, not reviewed at the end of the project.
HL7 FHIR and EHR Integration
Bidirectional data exchange with major EHR systems via HL7 FHIR R4, HL7 v2, and vendor-specific APIs with the data mapping, normalization, version management, and error handling that keeps clinical integrations stable and current.
Audit Trail and Compliance Logging
Immutable audit logs on every PHI access, modification, and transmission event structured for HIPAA audit response, breach investigation, and the evidence collection requirements of healthcare compliance reviews.
Clinical Documentation and Note Management
Structured and unstructured clinical documentation, specialty-specific note templates, voice-to-text integration, and AI-assisted documentation generation designed to reduce documentation burden without compromising documentation quality.
Patient Identity and Access Management
Multi-factor authentication, SMART on FHIR for patient and clinician app authorization, patient identity verification, and the access control architecture that satisfies both HIPAA minimum necessary requirements and clinical workflow needs.
Telehealth and Video Consultation Infrastructure
HIPAA-compliant video sessions, waiting room management, session recording with consent management, and bandwidth-adaptive video quality built on infrastructure that meets the availability requirements of clinical care delivery.
Medical Billing and Claims Processing
CPT and ICD-10 coding validation, clearinghouse integration for electronic claims submission, real-time eligibility verification, denial tracking, and revenue cycle reporting connected to the clinical workflow so billing data flows from documentation rather than being re-entered manually.
Interoperability and Data Exchange
Patient data portability via FHIR-compliant APIs, care summary generation for transitions of care, referral management with structured data transfer, and the interoperability infrastructure required by the 21st Century Cures Act information blocking rules.
AI-Integrated Healthcare Software, Engineered Into Every Layer
AI in healthcare software is not about adding a symptom checker to a patient portal. It is about building systems where machine learning and clinical AI reduce the cognitive burden on clinicians, surface the patients who need intervention before the intervention becomes urgent, and automate the administrative work that consumes hours every day without adding clinical value. Every platform we build is architected with AI integration in mind from day one because retrofitting AI into a healthcare system that was not designed for it is harder in healthcare than in almost any other category.
01
Notes generated from the conversation, not added after it
Ambient documentation tools that listen to the patient-clinician encounter, extract clinically relevant information, and generate structured notes in the format required for the specialty and EHR system. Clinicians review and sign rather than write. Documentation burden drops. Time with patients increases. This is the highest-value AI application in clinical settings and the one with the most direct impact on clinician burnout.
Highlights:
- Speech-to-structured-data extraction
- Specialty-specific note generation
- EHR-ready output formatting
- Clinician review and correction workflow
01
Notes generated from the conversation, not added after it
Ambient documentation tools that listen to the patient-clinician encounter, extract clinically relevant information, and generate structured notes in the format required for the specialty and EHR system. Clinicians review and sign rather than write. Documentation burden drops. Time with patients increases. This is the highest-value AI application in clinical settings and the one with the most direct impact on clinician burnout.
Highlights:
- Speech-to-structured-data extraction
- Specialty-specific note generation
- EHR-ready output formatting
- Clinician review and correction workflow
Our Healthcare Software Development Process
Most healthcare software projects fail in the discovery phase not because the technology is wrong but because the compliance requirements were underestimated, the clinical workflow was misread, or the EHR integration complexity was not surfaced until the build was already underway. Our healthcare software development services follow a structured, compliance-first delivery methodology designed to surface those problems at the start, when they are cheap to fix.
Here's exactly how it works.
01
Discovery & Compliance Scoping
We map your clinical workflows, compliance obligations, EHR integration requirements, PHI data flows, and user roles to clinicians, patients, administrators, and billing staff. Output is a detailed project scope that includes a HIPAA compliance architecture, integration plan, and risk register before development begins.
02
Architecture & UI/UX Design
HIPAA-compliant technical architecture finalized with the clinical workflow, PHI storage requirements, and integration dependencies accounted for. UI/UX wireframes and mockups designed for the actual clinical users reviewed with clinical staff where possible before development starts, because healthcare UI feedback at design stage is far cheaper than feedback at UAT.
03
Agile Development Sprints
Two-week sprints with working software delivered at the end of each cycle. HIPAA compliance controls, EHR integration, and authentication architecture are addressed in the first two sprints not deferred to the end where there is no time to get them right.
04
Integration & QA
Dedicated QA on every module alongside HIPAA compliance validation, EHR integration testing, clinical workflow testing with real or realistic patient data, and security penetration testing before go-live. In healthcare software, data integrity testing is not optional; a medication allergy that does not transfer correctly in an EHR integration is a patient safety issue.
05
Deployment & Go-Live
Staged rollout to production with clinical staff training, BAA execution, final compliance documentation, data migration from legacy systems, and post-launch monitoring. Healthcare go-lives require more coordination than standard software deployments; clinical operations cannot stop while the cutover happens.
06
Ongoing Support & Platform Evolution
Post-launch monitoring, compliance maintenance as regulations evolve, EHR integration updates as vendor APIs change, and feature development. Most healthcare clients maintain a support retainer regulatory change alone requires ongoing development attention.
Flexible Engagement Models to Hire Our Healthcare Software Development Company
Healthcare software projects range from targeted point solutions to multi-year enterprise platform builds. The right engagement model depends on your scope, your compliance timeline, your clinical workflow complexity, and how well-defined the requirements are before the engagement starts.
You need engineers who understand your clinical workflows, your compliance architecture, and your EHR integration requirements as well as your in-house team building for your roadmap, not context-switching across five other clients. The Dedicated Team model gives you a fully embedded healthcare software development unit accountable to your clinical and compliance outcomes.
- Right for you if
You are building a multi-quarter healthcare platform, an EHR, a telemedicine system, an RPM platform scaling a digital health product into new clinical settings, or augmenting your in-house team with healthcare software expertise without the cost and lead time of full-time hires.
- What you get
Hand-picked engineers with healthcare software experience, a QA specialist, and a technical lead working exclusively on your platform. Sprint planning and clinical demos run on your calendar. HIPAA compliance architecture, EHR integration, and AI clinical modules are all handled in-house.
- Economics
Monthly retainer. No surprise invoices, no scope-creep billing. Team composition flexes as your healthcare roadmap evolves.
Typical profile
3-10 engineers
6-month minimum
Scales with 30-day notice
Not sure which model fits your healthcare software project?
Most organizations start with one model and evolve into another as the platform matures and the clinical scope expands. Let's figure out the right starting point together.
Why Healthcare Organizations Choose Solvios
Building healthcare software requires a different kind of development team, one that understands compliance architecture, knows the difference between FHIR R4 and HL7 v2, has spent time understanding how clinical documentation actually works, and does not treat HIPAA as a checkbox. Here is what makes the difference in practice.
01
HIPAA Compliance Is Architecture, Not a Checklist
We treat compliance as an architectural constraint from day one not a feature to be added before launch. PHI data flows, minimum necessary access, encryption architecture, audit logging, and BAA management are all addressed in the first sprint. Healthcare organizations that have worked with generalist development shops that treated compliance as an afterthought know exactly what that approach costs.
02
EHR Integration Experience Across Major Systems
HL7 FHIR R4, HL7 v2, Epic, Cerner, Athenahealth, and Allscripts have done real EHR integrations. We know where the API documentation does not match the actual behavior, where the certification requirements add weeks to a timeline, and where the data normalization work lives that never shows up in the initial scope. That experience saves time and money on every healthcare engagement we run.
03
Clinical Workflow Understanding
Healthcare software that clinical staff route around is the most common failure mode in this category. We invest in understanding clinical workflows before we design because the difference between software that gets adopted and software that gets ignored is almost always in the workflow assumptions, not the technology choices.
04
AI-Integrated from Day One
Every healthcare platform we build is architected for AI capability from the first sprint because the clinical AI features that health systems want most (ambient documentation, predictive risk stratification, clinical decision support) depend on a data architecture designed to support them. Adding AI to a healthcare system that was not designed for it requires a rebuild of the data layer. We avoid that problem by designing for it from the start.
05
No Handoff Gaps
Clinical software development, HIPAA compliance architecture, EHR integration, QA, cloud infrastructure, and post-launch support are all in-house at Solvios. One team, one point of accountability. What you brief at the start is what the team builds no translation loss between a compliance specialist and a development team that works for a different company.
06
US-Based Communication, Global Engineering Capacity
Project management and client communication run on US business hours. The engineering team runs at a scale and cost structure that makes complex healthcare software projects commercially viable without the quality tradeoffs of pure offshore models. Healthcare clients in particular value the communication quality compliance decisions need to be made quickly, not queued in an asynchronous handoff.
Frequently Asked Questions
Honest answers to the questions every hospital CIO, digital health founder, practice administrator, and healthcare CTO asks before choosing a healthcare software development company. If something is not covered here, our solution architects will walk you through it on a discovery call, no sales pitch, no fluff.
Cost depends on scope and complexity. A patient portal with core modules secure messaging, appointment scheduling, lab result delivery, and care plan access typically starts in the $30,000–$60,000 range. A telemedicine platform with EHR integration, scheduling, video infrastructure, and HIPAA-compliant architecture ranges from $80,000 to $200,000+. A custom EHR system for a specialty practice sits in a similar range. A full RPM platform with device integration, clinical alerting, and EHR connectivity is typically $100,000–$250,000. Solvios provides fixed-price proposals after a compliance and clinical scoping session.
A standard patient portal with core features takes 3–5 months from discovery to launch. A telemedicine platform with EHR integration takes 5–8 months. A custom EHR for a specialty practice typically takes 6–10 months. An RPM platform with device integration and clinical alerting takes 4–7 months. The biggest variable is EHR integration complexity which is why we spend 2–4 weeks on compliance and clinical discovery before any development begins.
HIPAA compliance is an architectural decision, not a feature. We address it from the first sprint: PHI data flows are mapped and minimized during discovery, encryption at rest and in transit is specified in the architecture, role-based access controls are designed before the first line of code is written, audit logging is built into the data layer, and business associate agreements are executed before any PHI touches our systems. We do not treat HIPAA as a checklist to complete before launch; we treat it as a constraint that shapes every architectural decision from day one.
Yes. EHR integration via HL7 FHIR R4, HL7 v2, SMART on FHIR, and vendor-specific APIs is one of our core technical competencies for healthcare software development. We have integrated with Epic, Cerner, Athenahealth, and Allscripts. We handle the API access request process, the data mapping and normalization, the version management as EHR vendors update their APIs, and the ongoing maintenance that keeps integrations stable. This is where most generalist development teams run into serious problems EHR integration requires specific experience that we have built over multiple healthcare engagements.
AI-integrated healthcare software development means building platforms where machine learning and clinical AI are part of the core architecture not add-ons. In healthcare this includes ambient clinical documentation that generates structured notes from the patient encounter, predictive risk stratification that identifies high-risk patients before adverse events occur, clinical decision support surfaced at the point of documentation, NLP pipelines that extract structured data from clinical text, and intelligent prior authorization tools that reduce administrative burden. These capabilities require a data architecture designed to support them from the start which is why we address AI integration strategy during the discovery phase.
Yes. We have built telemedicine and telehealth platforms covering synchronous video consultations, asynchronous messaging, remote prescribing workflows, and the clinical and administrative infrastructure that surrounds them scheduling, consent, intake, billing integration, and EHR documentation. Telehealth platform development is more complex than adding video to a patient portal: the clinical workflow integration, the multi-state compliance architecture, and the EHR documentation requirements are all non-trivial and they all affect the technical architecture.
Security in healthcare software is a continuous discipline, not a pre-launch review. PHI is encrypted at rest using AES-256 and in transit using TLS 1.3. Access is controlled through role-based permissions with minimum necessary enforcement. Privileged access requires multi-factor authentication. All PHI access events are logged in an immutable audit trail. We conduct penetration testing before go-live on every healthcare platform. Infrastructure runs in HIPAA-eligible cloud environments on AWS or Azure with appropriate security controls enabled. Security posture is reviewed quarterly after launch.
Three models: Dedicated Healthcare Development Team for long-term, complex platform builds and digital health products; Time and Material for iterative development where the clinical scope and EHR integration complexity are still being defined; and Fixed Cost for well-scoped healthcare software projects where the compliance requirements, clinical workflows, and integration dependencies are clearly understood before the engagement starts. We recommend the right model honestly based on where you are in the discovery process not based on which model is most profitable for us.
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