Taction Software® | AI-first healthcare software development.
Healthcare AI is easy to demo and hard to deploy. We take it from a six-week prototype to EHR-integrated production. 250+ healthcare and EHR integrations since 2013.
Our experts are ready to understand your business goals.
Behavioral health practice management, revenue cycle platforms processing live 837 and 835 traffic, remote patient monitoring feeds writing into production EHRs, and diagnostic labs moving orders and results over HL7 interfaces we engineered.
Thirteen years inside a single industry produces a specific kind of evidence. Not category awards or generalist credentials, but interfaces still moving live traffic years after go-live, and clients who never had to run a replacement search. Every figure below is drawn from delivered work, and every one of them is a number we can walk through on a call. Healthcare is the only vertical we build for, which means the compliance posture, the interface patterns and the clinical workflow assumptions are already in place before your project starts rather than discovered during it.
Healthcare is not one buyer. A hospital CIO is defending an Epic footprint and a compliance posture. A Series A digital health founder is racing a pilot against remaining runway. An RCM company is watching denial rates climb because eligibility responses parse inconsistently across four payers. The engineering overlaps. The constraints, procurement cycles and definitions of failure do not. Thirteen years in this industry means we scope against the constraint that will actually break the project rather than the one that reads well in a proposal. These are the organizations we build for.
Epic and Oracle Health footprints you are not replacing. We modernize what surrounds them: interface engines, legacy clinical applications, patient access workflows and the ADT and ORU feeds that silently degrade. Healthcare integration solutions
Healthcare integration solutionsInvestors fund traction, not architecture debt. We take healthcare SaaS from prototype to a platform that survives enterprise security review, HIPAA scrutiny and its first hospital integration request. HIPAA-compliant app development
HIPAA-compliant app developmentSpecialty, behavioral health and ambulatory groups running practice management systems that do not talk to each other. We build the scheduling, portal and EHR connections that eliminate duplicate entry. Healthcare software development
Healthcare software developmentX12 837, 835, 270 and 271 traffic where every payer interprets the specification slightly differently. We build claim, eligibility and remittance workflows that hold up at production volume. Healthcare technology hub
Healthcare technology hubVideo and device data are the easy part. The hard part is writing observations back into the EHR as structured, reconcilable records clinicians will act on rather than ignore. Connected health and IoT
Connected health and IoTLIS and LIMS platforms exchanging orders and results over HL7 with dozens of ordering providers. We build interfaces that fail loudly instead of dropping results into silence. Mirth Connect and HL7 interfaces
Mirth Connect and HL7 interfacesCMS interoperability rules moved prior authorization and member data access from roadmap to obligation. We build the FHIR APIs and X12 pipelines that satisfy auditors and members alike. FHIR and X12 interoperability
FHIR and X12 interoperabilityNCPDP SCRIPT transactions, medication histories and formulary checks, engineered so a prescriber never waits on a spinner and a pharmacist never has to guess at intent.
Custom healthcare platformsIoMT fleets generating continuous telemetry. We build the cloud ingestion, device management and clinical data pipelines that turn raw signal into something a care team can chart against.
Healthcare data platformsMost healthcare projects do not fail at the code. They fail where clinical reality meets the estimate: an interface treated as a line item, a validation cycle nobody budgeted, a portal built for a demo instead of a Monday morning. Our healthcare software development services are scoped around those pressure points. Every engagement runs under a HIPAA-aligned SDLC with a BAA executed before the first commit, encryption and audit logging designed in rather than added during remediation, delivered by engineers who have shipped into live clinical environments and stayed on call afterward.
Clinical and operational platforms built from scratch when no product fits. Practice management, care coordination, population health, credentialing. Architected for the audit, the integration request and the volume arriving in year three. Practice management Care coordination Population health Credentialing Explore healthcare software development
Explore healthcare software developmentiOS, Android and cross-platform applications for patients and clinicians. Encrypted at rest and in transit, with biometric access, offline handling and audit trails that survive a payer security questionnaire without remediation. iOS and Android React Native Flutter .NET MAUI Explore HIPAA-compliant app development
Explore HIPAA-compliant app developmentEpic, Oracle Health, Athenahealth and NextGen connections over HL7 v2, FHIR R4 and SMART on FHIR. Mapped and tested against what the source system actually sends, not what the specification promises. HL7 v2 FHIR R4 SMART on FHIR C-CDA Explore healthcare integration
Explore healthcare integrationClinical documentation, phenotyping, patient outreach and denial prediction. Built with human review in the loop, provenance on every output and a governance trail that holds when a clinician disputes a recommendation. Clinical NLP Denial prediction Phenotyping Human review Explore healthcare AI and machine learning
Explore healthcare AI and machine learningPortals, intake, scheduling and messaging that reduce front-desk load instead of adding a second system. Built against real appointment logic, eligibility checks and the points where patients actually abandon forms. Patient portals Digital intake Scheduling Secure messaging Explore healthcare technology solutions
Explore healthcare technology solutionsClinical, operational and revenue dashboards drawing from EHR, claims and device data. Reconciled at source so finance and clinical leadership stop arriving at the same meeting with different numbers. Power BI Claims analytics Data warehousing Quality reporting Explore healthcare data analytics
Explore healthcare data analyticsTwelve-year-old .NET platforms, unsupported databases and interfaces held together by one person’s memory. Migrated incrementally, with the old system running in parallel until clinical sign-off and a rollback path exist. Incremental migration Parallel running Rollback planning Data reconciliation Explore custom software development
Explore custom software developmentAWS and Azure environments configured for HIPAA workloads, with BAAs in place, encrypted storage, monitored uptime and documented recovery objectives. SLA-backed support covering the interface layer, not just the servers. Azure AWS Serverless Disaster recovery Explore cloud engineering on Azure
Explore cloud engineering on AzureInterface testing with real message samples, security testing against OWASP guidance, and validation documentation structured for auditors. Because the message that fails in production is never the one in the happy path. Interface testing OWASP Validation records Load testing Explore QA and testing services
Explore QA and testing servicesInteroperability is where healthcare projects are won or quietly lost. A specification says one thing, the sending system does another, and the gap surfaces three weeks after go-live when a result lands in the wrong patient chart. We have completed 250+ healthcare and EHR integrations since 2013, which means we have already met most of the ways a feed misbehaves. We test against production message samples, not sanitized examples. We build interfaces that alert when they stop rather than failing silently, because silent failure is the expensive kind.
ADT, ORM, ORU, SIU, MDM and DFT message handling, including the segment-level quirks each vendor adds. Built with acknowledgement handling, retry logic and error queues you can actually inspect.
RESTful FHIR APIs, resource mapping, bulk data export and SMART app launch inside the EHR workspace. Scoped to CMS interoperability requirements and the payer access rules that now carry deadlines.
Channel design, transformation scripting, performance tuning and rescue work on engines nobody has documented. We also take over existing Mirth Connect deployments where the original developer has long since left.
Interconnect, Bridges and FHIR endpoint work on Epic, plus Millennium interfaces and Ignite APIs on Oracle Health, including the technical review cycles that decide whether a timeline is real.
837 claim submission, 835 remittance posting, 270 and 271 eligibility, 276 and 277 status. Built for real payer behavior, where four payers read one specification four ways.
SLA-backed monitoring on throughput, queue depth and error rates, with escalation paths defined before go-live. Migrations run with record-level reconciliation so clinical leadership signs off before cutover.
Healthcare AI has a deployment problem, not a capability problem. Models demo well and then stall at the point where a clinician has to trust an output, a compliance officer has to explain it, and someone has to own the decision it influenced. We build AI into clinical and revenue workflows with human review in the loop, provenance attached to every output, and a governance trail that survives scrutiny. The interesting engineering is rarely the model. It is the integration, the failure handling and the accountability structure around it.
Encounter capture, structured note generation and coding suggestion, with clinician review before anything reaches the chart. Built to reduce documentation time without introducing an unreviewed entry into a legal record.
Cohort identification from structured and unstructured records for research, population health and care management. Explainable criteria, auditable logic and outputs a clinical committee can interrogate line by line. Read the phenotyping breakdown
Read the phenotyping breakdownSegmentation, timing and channel selection for recall, adherence and care gap campaigns. Consent-aware, with escalation to human staff at the moment a conversation exceeds what automation should handle. Read the outreach platform analysis
Read the outreach platform analysisModels that flag claims likely to deny before submission, plus automated posting and worklist prioritization. Trained on the payer behavior your organization actually experiences, not industry averages.
Referrals, records and orders arriving as scans and faxes, extracted into structured data with confidence scoring and human review on anything uncertain. The intake queue that never stopped being paper.
Eligibility checks, prior authorization polling and credentialing updates across systems with no API, plus the model documentation, override logging and review workflows that let compliance approve a feature. Explore RPA for healthcare operations
Explore RPA for healthcare operationsThe useful case study is not the one with the largest number attached. It is the one where the constraint resembles yours: an interface engine nobody documented, a platform that outgrew its architecture, a device feed that had to reach a clinician’s screen in a form they would act on. Below are engagements we can discuss in technical depth on a call, including architecture decisions we would make differently today. Each one involved production clinical or financial data, live users and a compliance posture that had to hold. Behavioral health
Practice management platform work covering clinical documentation, scheduling and billing workflows for provider organizations operating under state and federal behavioral health requirements. Practice management Clinical documentation Billing workflows See healthcare case studies Revenue cycle management
See healthcare case studiesRevenue cycle integration built on HL7 messaging and Mirth Connect, connecting billing operations to provider systems and moving claim and remittance data across a multi-client environment. HL7 v2 Mirth Connect Claims and remittance Patient community, under NDA
How we engineer Mirth interfacesPatient community and engagement application delivered under NDA, covering secure messaging, moderation workflows and privacy controls appropriate to a health context. Secure messaging Moderation Privacy controls Read the case study Remote patient monitoring
Read the case studyRemote patient monitoring platform work spanning device data ingestion, monitoring workflows and EHR connectivity, so continuous readings arrive as usable clinical records rather than raw telemetry. Device ingestion RPM workflows EHR connectivity Digital health platform
Case study publishing shortlyHealthcare platform engagement covering custom application development and integration work, delivered under our HIPAA-aligned SDLC with a BAA in place from project start. Custom platform Integration HIPAA SDLC Full portfolio
Case study publishing shortlyIntegration rescues, platform builds, modernization programs and mobile applications, filterable by healthcare, software and mobile.
Browse all case studiesEach item below represents work delivered in production, not familiarity from a datasheet. If a platform is not listed, we have not shipped against it, and we will say so on the call rather than after the contract. This section is written as text rather than a graphic so that every vendor and standard is readable by search engines, answer engines and screen readers.
Epic Oracle Health Cerner Millennium Athenahealth NextGen eClinicalWorks AdvancedMD DrChrono Allscripts Veradigm
HL7 v2.x FHIR R4 SMART on FHIR CDA and C-CDA X12 837 X12 835 X12 270 and 271 X12 276 and 277 NCPDP SCRIPT DICOM LOINC SNOMED CT ICD-10 Interoperability services
Interoperability services.NET and C# Java Node.js Python PHP and Laravel React Angular Next.js React Native Flutter .NET MAUI
SQL Server PostgreSQL MongoDB Snowflake Power BI Tableau Clinical NLP Predictive modeling MLOps
Healthcare big data and analyticsCompliance is either designed in or paid for twice. We have watched organizations retrofit access controls and audit logging into a live platform under deadline pressure from a payer security review, and it costs several times what building it correctly would have. Our SDLC treats HIPAA as an architectural input rather than a review gate. A BAA is executed before the first commit. Request our security documentation
Administrative, physical and technical safeguards implemented at the architecture level, with policies, workforce training and documented procedures that map to the actual controls in your system.
BAAs executed with your organization before development begins, and flowed down to every subprocessor and cloud provider in the delivery chain. Signed paperwork, not a compliance statement on a page.
Our information security management system is ISO 27001 certified, covering access control, risk assessment, incident response and supplier management across our development and delivery environments.
Security, availability and confidentiality controls designed to SOC 2 criteria, with evidence and documentation structured to support your own SOC 2 or enterprise vendor assessment process.
Data subject rights, lawful basis, retention schedules and cross-border transfer handling for healthcare organizations operating in or serving patients across European jurisdictions.
Control implementation and documentation for healthcare systems touching federal or state programs, where the assessment framework is prescribed rather than negotiated.
Threat modeling at design, secret management, dependency scanning, code review with security criteria, and penetration testing before production. Findings tracked to closure with evidence retained.
Role-based and attribute-based access, minimum necessary enforcement, immutable audit trails and break-glass procedures. Built so an auditor can reconstruct who saw which record and when.
There is no shortage of development firms willing to take a healthcare project. The difference shows up in month four, when an interface behaves unexpectedly, a payer sends a security questionnaire, or a clinician says the workflow does not match how the unit actually operates. At that point you either have a partner who has been there or a vendor learning at your expense. We build for healthcare exclusively, and have since 2013. Every one of the following is a claim you can verify on a technical call.
Not a healthcare division inside a generalist agency. The compliance posture, interface library and clinical workflow assumptions are already in place before your project starts rather than assembled during it.
We have already met most of the ways a feed misbehaves, a vendor deviates from specification, or a mapping fails under production volume. That experience shortens discovery and removes guesswork from your estimate.
Taction was founded in 2013. Our CEO brings 20+ years of personal experience in software and healthcare technology, which is why architectural decisions get senior review rather than delegation down the chain.
BAA before the first commit. Encryption, audit logging and access control specified during architecture. Your first enterprise security questionnaire becomes a document exercise instead of an unplanned remediation project.
Offices in Chicago, Austin, Cheyenne and Sacramento, with a dedicated development center in Noida. Overlapping hours for architecture and stakeholder work, full engineering capacity for delivery throughout the build.
SLA-backed monitoring and support covering the interface layer, not just server uptime. The person answering your escalation knows your channel configuration, because they are the engineer who built it. See why teams choose Taction.
Healthcare projects fail on sequencing more often than on execution. Interface work gets scheduled after the application is built, compliance review lands two weeks before launch, and clinical stakeholders see the workflow for the first time in training. Our process front-loads exactly those items. You will know your integration surface, your compliance obligations and your riskiest assumption before we write production code, because those three things determine whether the timeline you were given is real. 1 One to two weeks Discovery and technical assessment
We map your systems, integration surface, compliance obligations and clinical workflows, then identify the assumption most likely to break the project and test it first. 2 Two to three weeks Architecture and interface design
Data model, integration architecture, security controls and interface specifications documented and reviewed with your technical and compliance stakeholders before development begins. 3 Six weeks Working prototype
A functioning system exercising the highest-risk path, usually the integration, in front of real clinical users. Early enough that direction changes cost days rather than quarters. 4 Two-week sprints Iterative build
Demonstrable output each sprint, a shared backlog and direct engineer access. Interface development runs in parallel with application work rather than queued behind it. 5 Before cutover Validation and compliance readiness
Interface testing with production message samples, security testing, performance testing at expected volume, and validation documentation prepared for auditors and enterprise security reviewers. 6 Ongoing Go-live and ongoing support
Phased cutover with a rollback path, parallel running where clinical risk demands it, monitoring configured before launch, and SLA-backed support from the team that built the system.
Testimonials are worth reading only when they are specific and attributed. A generic quote about professionalism tells a hospital CIO nothing. What matters is which system was integrated, what constraint the team worked under, and whether the person putting their name to the statement holds a role you recognize. Every quote published here carries a full name, title and organization, with that person’s consent.
Third-party verified client reviews of our software development and healthcare engineering work, collected and validated independently of us. Read our Clutch profile
Read our Clutch profileIndependent client feedback covering delivery quality, communication and technical capability across engagements. Read our GoodFirms profile
Read our GoodFirms profileFor qualified engagements we arrange a direct reference call with a client operating a comparable system, so you hear it from an operator rather than a case study.
Request a reference callHealthcare technology decisions get made by people who need to understand a standard, a regulation or an architecture pattern before they can defend a budget for it. The pieces below are written for that reader: technical enough to be useful to an integration architect, clear enough to forward to a CFO. If a topic you are evaluating is not covered, tell us on the call and it will likely become the next thing we publish.
Where healthcare AI projects stall between pilot and production, and the governance, integration and review structures that move them across that gap. Read the AI healthcare playbook.
How segmentation, timing and consent handling determine whether automated outreach closes care gaps or generates complaints and opt-outs at scale. Read the patient outreach analysis.
Building cohort identification that a clinical committee will approve, with explainable criteria and auditable logic rather than an unreviewable model output. Read the clinical phenotyping breakdown.
A practical sequence for taking a healthcare product from concept to production, including where compliance and integration work belongs in the timeline. Read the product development guide.
Fixed-scope for defined deliverables, dedicated team for continuous roadmap work, and staff augmentation where you need specific interoperability capability inside your existing team.
MVP and prototype$40K to $80K Full platform build$80K to $200K Enterprise, multi-system integration$200K and above
Estimate your project costYes. Inherited codebases and undocumented interface engines are a regular part of our work, including Mirth Connect deployments whose original developer has left. We start with an assessment before committing to a timeline.
Yes. SLA-backed monitoring and support covering message throughput, queue depth and error rates as well as application uptime, with escalation paths defined before go-live and handled by the engineers who built the system.
We have US offices in Chicago, Austin, Cheyenne and Sacramento, with a dedicated development center in Noida, India. Call +1 307 459 0850 or +1 512 299 0926, or use our contact form.
Schedule a thirty-minute technical discovery call. You will speak with a healthcare solutions architect about your systems, integration requirements, compliance considerations and scope, not with a salesperson working from a script. More answers on our FAQ page.
Pricing ranges, integration timelines, compliance posture and what happens after launch are all things you are entitled to know before you commit an hour of your time. If your question is not here, the fastest path is a thirty-minute call with an architect who can answer it for your systems specifically.
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