Clinical decision support is in the middle of an AI-driven renaissance — and a hard-won lesson. The first generation of CDSS drowned clinicians in alerts and trained them to ignore it. Modern CDS is different: context-aware via CDS Hooks, AI-augmented, and designed to fit the workflow rather than interrupt it. Taction Software builds clinical decision support — rule-based and AI-powered, embedded via CDS Hooks and SMART on FHIR — for health-tech companies building CDS products and health systems building internal CDSS, with clinical informatics input and FDA-aware engineering. Schedule a CDS Strategy Workshop → (NDA-protected) Clinical informatics input · FDA-aware engineering · healthcare AI credentials · EHR integration experience Modern CDS: Beyond Alert Fatigue Why Traditional CDSS Failed (Alert Fatigue) First-generation CDSS fired too many low-value alerts, so clinicians learned to dismiss them. Any modern CDS effort has to start by taking alert fatigue seriously — see our perspective on AI-powered clinical decision support. Context-Aware CDS via CDS Hooks CDS Hooks lets decision support fire at the right moment in the workflow — patient view, order select, order sign — with relevant, contextual guidance instead of blanket alerts. AI-Augmented Decision Support AI extends CDS from static rules to risk prediction and pattern recognition, drawing on our healthcare RAG and clinical NLP capabilities — always with the clinician in the loop. Embedded vs. Standalone CDSS We build CDS embedded directly in the EHR workflow and standalone CDSS accessed alongside it, depending on your use case and integration constraints. CDS Solutions We Build Rule-Based CDSS Clinical logic authoring, knowledge base management, and versioning and change control — the backbone of transparent, auditable decision support. AI-Powered Clinical Decision Support Risk prediction models, diagnostic support models, and treatment recommendation models, built with validation and clinician oversight rather than black-box automation. CDS Hooks Integration EHR integration via CDS Hooks, custom card UI design, and workflow integration (order sign, patient view) so guidance appears at the right decision point. Clinical Quality Measure Computation eCQM implementation and real-time quality reporting so quality measurement is built into the same system. FDA Considerations for AI CDSS FDA SaMD Framework For CDS that is regulated as software as a medical device, we engineer within the FDA SaMD framework — risk classification, design controls, and validation. 21st Century Cures Act CDS Carve-Out Some clinical decision support qualifies for the Cures Act CDS exemption from device regulation when it meets the statutory criteria, including that the clinician can independently review the basis. We design with that distinction in mind so it is clear which side of the line your product sits on. PCCP (Predetermined Change Control Plan) For AI/ML-based CDS, we account for the FDA’s Predetermined Change Control Plan approach so models can be updated within an agreed, pre-cleared envelope. Validation & Verification Requirements We build the validation and verification, and the documentation, that regulated CDS requires and that reviewers expect. EHR Integration for CDSS We integrate CDS through CDS Hooks, SMART on FHIR apps, native EHR integration (Epic, Cerner) via our Epic integration and HL7 work, and API-based integration — all built on our FHIR API development and custom EHR foundations. Clinical Domains We’ve Built CDS For We have built decision support across domains including sepsis prediction and alerting, risk stratification (readmission, mortality), medication safety, imaging triage and prioritization, antibiotic stewardship, and behavioral health risk (see our behavioral health software work) — each with appropriate validation and clinician oversight. CDS Development Process Clinical Discovery & Domain Expert Engagement We start with clinical discovery and domain-expert engagement, because CDS that ignores clinical reality fails no matter how good the engineering is. Model Development & Validation We develop and validate the logic or models against clinically reviewed data. Workflow Integration Design We design how the guidance fits the workflow, so it informs decisions without adding noise. EHR Integration Engineering We engineer the EHR integration via CDS Hooks, SMART on FHIR, or native paths. Clinical Pilot & Validation We pilot in a real clinical setting and validate performance and workflow fit before scaling. Production Deployment We deploy to production with monitoring, under our HIPAA-compliant development and data security practices. Schedule a CDS Strategy Workshop → Frequently Asked Questions Do you handle FDA submission? We build SaMD-aware software and the validation and documentation that support an FDA submission, and we help you understand whether your CDS is regulated or qualifies for the Cures Act CDS carve-out. The submission itself is led by you and your regulatory advisors; we are not a regulatory consultancy. How do we avoid alert fatigue? By treating it as a design constraint from the start: firing guidance only at the right workflow moment via CDS Hooks, tuning thresholds to clinically meaningful events, suppressing low-value and duplicate alerts, and validating with clinicians that the signal is worth the interruption. Can you integrate with Epic and Cerner? Yes. We integrate via CDS Hooks, SMART on FHIR, and native EHR paths with Epic and Cerner, with the specifics depending on your access agreements with the EHR vendors. What about validation studies? We build the validation into the development process — validating logic and models against clinically reviewed data and piloting in a real setting before scaling. For regulated CDS, we structure validation and verification to support your regulatory pathway. Schedule a CDS Strategy Workshop → Reviewed by Taction Software’s healthcare AI and clinical informatics engineering team. ISO 27001-certified information security management. PHI is handled under a signed BAA. For broader AI work, see our healthcare AI solutions.

Retrieval-augmented generation has become the dominant pattern for production healthcare AI — because it grounds the model in real sources, keeps knowledge current, and makes outputs auditable and citable. But healthcare RAG is unforgiving: chunk clinical documents wrong, retrieve poorly, or skip evaluation, and you ship something that sounds confident and is sometimes wrong. Taction Software builds production-grade healthcare RAG — clinical document ingestion, retrieval, grounded generation, and citation — for health-tech companies and provider organizations that need AI they can actually trust and defend. Schedule a Healthcare RAG Architecture Workshop → (NDA-protected) LLM & RAG engineering credentials · healthcare AI specialist team · HIPAA + BAA Why RAG Dominates Production Healthcare AI Hallucination Reduction with Source Grounding RAG grounds the model’s answers in retrieved source content, which substantially reduces hallucination compared to asking a model to answer from memory. Up-to-Date Clinical Knowledge RAG lets the system draw on current guidelines and documents without retraining the model every time knowledge changes. Auditability & Citation Because answers trace back to retrieved sources, RAG supports citation and audit — essential in healthcare, where you must be able to show where an answer came from. Customization Without Fine-Tuning RAG adapts the system to your knowledge base and content without the cost and complexity of fine-tuning a model. Our Healthcare RAG Architecture Document Ingestion & Processing Clinical document parsing, PHI redaction where needed, chunking strategies tuned for clinical content, and metadata enrichment — the foundation that determines retrieval quality. Vector Store & Retrieval Vector DB selection (Pinecone, Weaviate, pgvector, Qdrant), hybrid retrieval (vector + keyword), re-ranking models, and retrieval evaluation so the right content surfaces for every query. LLM Integration Prompt engineering for clinical context, context-window management, and multi-turn conversation handling to turn retrieved content into accurate, useful answers. Citation & Source Attribution Clinical source citation, confidence scoring, and an audit trail for AI outputs so every answer is traceable and defensible. Healthcare RAG Use Cases We Build We build clinical decision support chatbots (with clinician oversight — see our perspective on clinical decision support), patient-facing health Q&A (via our patient portal work), clinical knowledge base search, care-guideline compliance tools, and clinical trial eligibility matching — often combined with our clinical NLP capabilities. HIPAA Compliance for RAG Systems BAA-Covered LLM Providers We use LLM providers that will sign a BAA when PHI is processed in the cloud, and architect so PHI is handled correctly throughout. On-Premises RAG Deployment Where data cannot leave your environment, we deploy RAG fully on-premises or in your private cloud — drawing on our on-prem LLM work. PHI Handling in Retrieval We design how PHI is handled in ingestion and retrieval — including redaction where appropriate — so the retrieval layer does not become a compliance gap. Audit Logging Requirements We build the audit logging HIPAA expects around PHI access and AI outputs, consistent with our HIPAA-compliant development and data security practices. RAG Evaluation Framework Retrieval Quality Metrics (NDCG, MRR) We measure retrieval with metrics like NDCG and MRR, because if retrieval is weak, no amount of prompting fixes the answer. Generation Quality (Groundedness, Relevance) We evaluate generation for groundedness and relevance, so answers are supported by the retrieved sources and actually address the question. Production Monitoring We build production monitoring so quality is tracked over time and regressions are caught, not discovered by users. Engagement Models We work in three common shapes: a greenfield RAG system build, RAG integration into existing healthcare applications, and a RAG architecture review of a system you have already started — all within our broader healthcare AI and custom healthcare software work. Schedule a Healthcare RAG Architecture Workshop → Frequently Asked Questions RAG vs. fine-tuning for healthcare? For most healthcare applications, RAG is the better default: it grounds answers in sources, keeps knowledge current, and supports citation and audit. Fine-tuning helps with style, format, or narrow specialized behavior. They are complementary — we frequently use RAG as the backbone and fine-tuning selectively where it earns its cost. Which vector DB do you recommend? It depends on your scale, infrastructure, and compliance needs. We work with Pinecone, Weaviate, pgvector, and Qdrant, and recommend based on deployment model (especially on-premises requirements), scale, and how the vector store fits the rest of your stack — not a one-size answer. How do you prevent hallucinations? RAG itself reduces hallucination by grounding answers in retrieved sources. We strengthen that with strong retrieval and re-ranking, prompts that constrain the model to the retrieved context, citation and confidence scoring, and evaluation for groundedness, so unsupported answers are caught. On-prem or cloud RAG? Both are viable. Cloud is faster to build and scale; on-premises or private-cloud RAG is the answer when data cannot leave your environment. We architect for your compliance and data-sovereignty requirements either way. Schedule a Healthcare RAG Architecture Workshop → Reviewed by Taction Software’s healthcare AI engineering team. ISO 27001-certified information security management. PHI is handled under a signed BAA.

Most of the value in healthcare data is locked in unstructured text — clinical notes, discharge summaries, pathology reports, correspondence. Clinical NLP is how you unlock it: extracting structured, coded, analyzable information from narrative that was never designed for a machine to read. Taction Software builds custom clinical NLP — document summarization, auto-coding, social-determinants extraction, risk stratification, and more — for healthcare analytics teams, payer informatics groups, and research organizations that need production-grade medical text understanding. Schedule a Clinical NLP Use Case Workshop → (NDA-protected) ML & NLP engineering credentials · clinical validation input · HIPAA + BAA Use Cases for Clinical NLP Clinical Document Summarization Condensing long records and note histories into usable summaries for clinicians and downstream systems. ICD-10 / CPT / SNOMED Auto-Coding Extracting and suggesting codes from narrative documentation — see our perspective on AI medical coding. Social Determinants of Health (SDoH) Extraction Surfacing social-determinant signals buried in notes that structured fields rarely capture. Clinical Trial Eligibility Matching Matching patients to trial criteria by reading the unstructured record, not just the coded fields. Risk Stratification from Unstructured Notes Pulling risk signals out of narrative text to feed risk models and care management. Quality Measure Computation Computing quality measures that depend on information found only in free text, supporting your healthcare analytics. Our Clinical NLP Capabilities Foundation Model Approaches LLM-based NLP (GPT-4, Claude, Gemini), domain-adapted open source (Med-PaLM, ClinicalBERT, BioGPT), and hybrid approaches that combine the strengths of each for accuracy and cost control. Information Extraction Named entity recognition, relation extraction, temporal reasoning, and negation and uncertainty detection — the core extraction tasks clinical text demands. Terminology Mapping SNOMED CT, ICD-10, RxNorm, and LOINC mapping, plus custom ontology mapping, so extracted concepts are standardized and interoperable. Document Understanding Section-header detection, clinical document classification, and multi-document synthesis so the system understands structure, not just words. NLP for Specific Healthcare Workloads Payer Risk Adjustment NLP Extracting conditions from notes to support accurate, compliant risk adjustment — complementing our payer AI work. Clinical Quality Reporting NLP Reading narrative to compute and support quality reporting that coded data alone cannot. Pharmacovigilance & Adverse Event Detection Detecting adverse events and safety signals in clinical and post-market text. Real-World Evidence Generation Turning unstructured clinical data into structured inputs for real-world evidence studies. Productionizing Clinical NLP Performance & Accuracy Validation We validate NLP against held-out, clinically reviewed data, because a model that looks good in a demo is not the same as one that holds up in production. Bias & Fairness Testing We test for bias and fairness across populations, so the system does not encode or amplify disparities. Production Monitoring & Drift Detection We build monitoring and drift detection so accuracy is tracked over time and degradation is caught early. HIPAA-Compliant Deployment We deploy NLP under HIPAA safeguards, including on-premises where data cannot leave your environment — drawing on our on-prem LLM, HIPAA-compliant development, and data security practices. Engagement Models We work in three common shapes: custom NLP product development, NLP integration into existing platforms, and NLP research-to-production engineering — taking a promising research model and making it robust, validated, and deployable. This builds on our broader healthcare AI and custom healthcare software work. Schedule a Clinical NLP Use Case Workshop → Frequently Asked Questions LLM vs. traditional NLP for clinical text? Both have a place. LLMs are powerful for summarization, flexible extraction, and document understanding; traditional and domain-specific models can be more efficient, controllable, and auditable for high-volume, well-defined extraction. We frequently use a hybrid approach, choosing per task based on accuracy, cost, latency, and explainability needs. How do you handle medical jargon & abbreviations? We use clinically adapted models and terminology resources, and tune to your specialty and document types, so the system correctly interprets medical jargon, abbreviations, and context rather than guessing. What about negation and uncertainty? Negation and uncertainty are first-class concerns in clinical NLP — “no evidence of,” “rule out,” “possible.” We build explicit negation and uncertainty detection so extracted findings reflect what the note actually asserts. Can you train on our specific data? Yes. We adapt and, where appropriate, fine-tune models on your data under a signed BAA, with controls ensuring your data is not used to train third-party models and stays within your compliance boundary. Schedule a Clinical NLP Use Case Workshop → Reviewed by Taction Software’s healthcare AI and NLP engineering team. ISO 27001-certified information security management. PHI is handled under a signed BAA.

AI medical scribes are the hottest category in healthcare AI, and most organizations face the same question: buy a product like Abridge, Suki, or Nuance DAX, or build a custom scribe you control. Taction Software builds custom AI medical scribes — ambient capture, medical-grade transcription, LLM-generated clinical notes, EHR write-back, and clinician review — for health systems and digital health companies that need specialty depth, on-premises deployment, or a scribe of their own to ship as a product. If you want a ready, service-delivered ambient documentation capability rather than a custom build, see our ambient clinical documentation offering. This page is about building a custom scribe. Schedule a Free AI Scribe Architecture Workshop (90 min) → (NDA-protected) Healthcare-specific AI engineering team · EHR integration experience · HIPAA + BAA Build vs. Buy: When Custom AI Scribes Make Sense Specialty-Specific Requirements Off-the-shelf scribes are tuned for general clinical practice. Specialties with distinctive documentation — cardiology, orthopedics, behavioral health — often need depth the packaged products do not deliver. Existing Voice Recognition Infrastructure Organizations with existing voice-recognition or transcription investments may want a custom scribe that builds on what they have rather than replacing it. Data Sovereignty / On-Premises Requirements When data cannot leave your environment, a custom scribe with on-premises or private-cloud deployment is the only path — drawing on our on-prem LLM work. Building AI Scribe as a Product For health-tech companies, the scribe is the product. Custom development is the only route, and the engineering quality determines whether you can scale and sell it. Our AI Scribe Architecture Audio Capture & Processing Multi-speaker diarization, background-noise handling, and privacy-preserving capture so the raw input is clean and compliant from the start. Transcription Layer Medical-specific ASR models, custom vocabulary and terminology, and the right choice of streaming vs. batch transcription for your latency needs. LLM Documentation Layer Prompt engineering for clinical notes, RAG for specialty-specific knowledge, hallucination prevention, and multi-section note generation — the layer that turns a transcript into a usable clinical note. EHR Write-Back SMART on FHIR integration, Epic / Cerner / athenahealth-specific write-back, and HL7 v2 document storage, built on our FHIR, Epic integration, and HL7 practices. Clinician Review & Editing Mobile and web interfaces, voice editing, and confidence indicators so the clinician stays in control and the note is theirs before it is signed. LLM & Model Choices Cloud Models (GPT-4 / Claude / Gemini) For documentation quality, we work with leading cloud LLMs under provider BAAs where PHI is involved. Open-Source Models (Llama, Mistral) for On-Prem For data-sovereignty needs, we deploy open-source models on-premises or in your private cloud. Specialty Fine-Tuning Approaches We use fine-tuning and retrieval approaches to adapt the documentation layer to your specialty and house style. Cost & Latency Trade-offs We engineer the model and pipeline choices around your cost and latency targets, because a scribe that is accurate but slow does not get used. HIPAA Compliance for AI Scribes BAA-Covered LLM Providers We use LLM providers that will sign a BAA when PHI is processed in the cloud, and architect so PHI is handled correctly throughout. On-Premises Deployment Options Where the cloud is not acceptable, we deploy fully on-premises or in your private cloud. Data Retention & Training Data Controls We control data retention and ensure your data is not used to train third-party models, with the contractual and technical controls to back it. Audit Logging Requirements We build the audit logging HIPAA expects around PHI access and processing — see our HIPAA-compliant development and data security practices. Specialty Customization We build for primary care, specialty practices (cardiology, orthopedics, behavioral health), inpatient, and telehealth settings, each with its own documentation patterns and note structures. Build Timeline & Cost MVP: 3–6 Months A working MVP scribe typically takes three to six months, enough to validate accuracy and workflow fit. Production AI Scribe: 6–12 Months A production-grade scribe — robust, integrated, and scaled — generally runs six to twelve months. Specialty Customization Add-On Specialty customization is scoped as an add-on once the core scribe is in place. We give a firm, scoped estimate after the architecture workshop. Schedule a Free AI Scribe Architecture Workshop (90 min) → Frequently Asked Questions Should we buy Abridge / Suki / DAX vs. build? Buying is the right call when a packaged scribe fits your specialties and workflow and you do not need to own the product. Building makes sense when you need specialty depth they lack, on-premises deployment, integration with existing infrastructure, or a scribe of your own to ship. We will give you an honest build-vs-buy read for your situation. How do you prevent hallucinations? We ground generation in the actual transcript, constrain the model to the encounter content, surface confidence indicators, and keep the clinician in the loop to review and edit before signing. The goal is a note the clinician trusts and verifies, never an unchecked generation. How does EHR write-back work? We write notes back through SMART on FHIR and EHR-specific integration (Epic, Cerner, athenahealth), or via HL7 v2 document storage, so the finished note lands in the right place in the chart. Can you do on-premises deployment? Yes. For data-sovereignty needs we deploy open-source models fully on-premises or in your private cloud, so PHI never leaves your environment. What about voice-to-EHR latency? We engineer the transcription and documentation pipeline around your latency target, choosing streaming vs. batch processing and model options so the scribe is fast enough to fit real clinical workflow. Schedule a Free AI Scribe Architecture Workshop (90 min) → Reviewed by Taction Software’s healthcare AI engineering team. ISO 27001-certified information security management. PHI is handled under a signed BAA. For broader AI work, see our healthcare AI solutions.

Radiology runs on the tight choreography of orders, scheduling, modality worklists, image acquisition, reading, reporting, and distribution — and when the RIS does not fit a group’s subspecialty, teleradiology model, or AI ambitions, the whole workflow drags. Taction Software builds custom radiology information systems, teleradiology platforms, and RIS-PACS integrations for radiology groups, imaging-technology vendors, and hospital imaging IT — with deep DICOM, HL7, and imaging-workflow engineering. Schedule a Custom RIS Discovery Call → (NDA-protected) DICOM & HL7 expertise · PACS integration experience · AI imaging integration · HIPAA + BAA When Custom RIS Development Makes Sense Specialty Radiology (Breast, Cardiac, Interventional) Subspecialty radiology — breast, cardiac, interventional — has workflows and reporting that general RIS products handle poorly, driving demand for custom development. Teleradiology Platform Development Teleradiology groups need multi-site read distribution, subspecialty routing, and coverage management that off-the-shelf RIS was not built for. Mobile Imaging Service Companies Mobile imaging companies have logistics and workflow needs — scheduling, routing, and distributed reading — that benefit from purpose-built software. AI Imaging Vendor Integration Imaging-AI vendors need platforms that integrate AI into the radiology workflow, drawing on our healthcare AI and DICOM imaging pipeline work. RIS Components We Build Order & Scheduling Management Order receipt (HL7 ORM), patient scheduling and resource management, and eligibility and authorization, built on our HL7 integration practice. Modality Worklist & DICOM Integration DICOM Modality Worklist (DMWL), image acquisition integration, and study tracking so modalities and the RIS stay in lockstep. Reading & Reporting Workflow Voice recognition integration (PowerScribe, Fluency), structured reporting, critical result communication, and peer review workflow — the radiologist’s core experience. PACS Integration & Image Distribution DICOM C-FIND, C-MOVE, and C-STORE, image-sharing platforms, and VNA integration, using Mirth Connect and our integration engineering where needed. Teleradiology Platform Capabilities We build the capabilities teleradiology depends on: multi-site read distribution, subspecialty routing, coverage calendar management, and subspecialist coordination — so reads reach the right radiologist at the right time across sites. AI Integration AI Worklist Prioritization We integrate AI to prioritize the worklist so urgent studies surface first. AI Triage & Critical Findings Detection We integrate AI triage and critical-findings detection into the workflow, with the right escalation paths. AI Reporting Assistant We integrate AI reporting assistance into the structured-reporting workflow. FDA 510(k) Considerations for AI Imaging For AI imaging that is FDA-regulated, we build software that integrates FDA-cleared tools and supports the vendor’s regulatory pathway. We are not a regulatory body; we make the integration clean and compliant-by-design. Integrations & Standards DICOM (All Major Services) We build to DICOM across the services radiology depends on, so images and metadata move correctly. HL7 v2 & FHIR (Imaging Workflow) We integrate the imaging workflow via HL7 v2 and FHIR for orders, results, and the broader record. IHE Profiles (SWF, XDS-I) We build to relevant IHE profiles, including Scheduled Workflow (SWF) and Cross-Enterprise Document Sharing for Imaging (XDS-I). IOCM & XDS We support Imaging Object Change Management and XDS-based document and image sharing where the environment requires it. Engagement Models We work in four common shapes: a custom RIS for a radiology group, a teleradiology platform build, an AI imaging vendor platform, and RIS-PACS integration for organizations connecting existing systems. Schedule a Custom RIS Discovery Call → Frequently Asked Questions Can you integrate with our existing PACS? Yes. We build RIS-PACS integration using DICOM services (C-FIND, C-MOVE, C-STORE) and VNA integration, so your RIS and PACS work together and images distribute correctly. Do you have DICOM expertise? Yes. DICOM is core to our imaging work — modality worklists, image acquisition, the query/retrieve and storage services, and image sharing — alongside HL7 and FHIR for the surrounding workflow. Can you build a teleradiology platform? Yes. We build teleradiology platforms with multi-site read distribution, subspecialty routing, coverage calendar management, and subspecialist coordination. What about AI imaging integration? We integrate imaging AI for worklist prioritization, triage and critical-findings detection, and reporting assistance, and for FDA-regulated tools we build software that integrates cleared products and supports the vendor’s regulatory pathway. Schedule a Custom RIS Discovery Call → Reviewed by Taction Software’s DICOM and healthcare imaging engineering team. ISO 27001-certified information security management. PHI is handled under a signed BAA — see our healthcare data security practice. For diagnostic labs, see our lab information system development work.

A laboratory information system sits at the center of everything a lab does — orders in, specimens tracked, instruments integrated, results validated and delivered, claims billed. When the LIS is legacy, generic, or missing capabilities your lab needs, the friction shows up everywhere. Taction Software builds custom laboratory information systems and LIS modernizations for clinical labs, pathology groups, molecular and reference labs, and lab-technology vendors — with deep HL7, LOINC, and instrument-integration engineering. Schedule a Custom LIS Development Discovery Call → (NDA-protected) HL7 & LOINC specialist team · instrument integration experience · HIPAA + BAA · healthcare engineering credentials When Custom LIS Development Makes Sense Legacy LIS End-of-Life (Sunquest, LabWare Migration) Long-standing systems like Sunquest, LabWare, and Cerner Millennium PathNet are common modernization targets. When a legacy LIS no longer fits or is reaching end-of-life, custom development or migration becomes the path forward — see our software modernization practice. Specialty Labs Not Served by Off-the-Shelf Molecular, genetic, toxicology, and other specialty labs frequently find that off-the-shelf systems do not model their workflow, driving them to custom development. Lab SaaS Product Development Lab-technology founders building a SaaS LIS or lab-adjacent product need an experienced development partner who understands the domain. Reference Lab Integration Needs Labs with heavy reference-lab send-out and result-return needs require integration depth that generic systems do not provide. LIS Components We Build Order & Specimen Management Order receipt (HL7 ORM), specimen tracking and chain-of-custody, barcoding and label printing, and specimen receipt and accessioning — the front of the lab workflow, built on our HL7 integration practice. Instrument Integration Direct instrument interfaces, a middleware layer (Data Innovations), result capture and validation, and QC and calibration tracking — the integration depth that separates a real LIS from a database. Result Reporting Result delivery to EHRs (HL7 ORU), result portals for providers, and patient portal integration, drawing on our custom EHR and patient portal work. Lab Billing & Revenue Cycle Test code management (CPT, HCPCS), insurance verification and claim generation, and reimbursement tracking so the lab’s revenue cycle is built in, not bolted on. LIS Specialty Areas We build for clinical pathology, anatomic pathology, molecular and genetic testing, reference lab platforms, and toxicology labs — each with its own workflow, coding, and reporting needs. Standards & Compliance LOINC for Test Coding We implement LOINC mapping so test codes are standardized and interoperable. SNOMED CT for Findings We use SNOMED CT for findings where structured, coded results are required. HL7 v2 & FHIR We build to HL7 v2 and FHIR, and use Mirth Connect for interface engineering. CLIA & CAP Compliance Support We build the features that support CLIA and CAP requirements — controls, QC tracking, and documentation. Your lab holds the CLIA certification and CAP accreditation; we make the software support it. HIPAA We build HIPAA safeguards into the system as standard — see our HIPAA-compliant development practice. LIS Modernization Path Discovery & Current-State Inventory We inventory the existing system, data, instruments, and interfaces before designing the move. Data Migration Strategy We define how historical lab data and codes are migrated cleanly into the new system. Phased Instrument Migration We migrate instrument interfaces in phases, so the lab keeps running throughout. Cutover & Stabilization We support cutover with reconciliation and stabilization until the new LIS is proven. Engagement Models We work in four common shapes: a custom LIS for a single lab, lab SaaS product development for vendors, LIS modernization and migration, and specialty module add-ons to an existing system. Schedule a Custom LIS Development Discovery Call → Frequently Asked Questions Can you integrate with our existing instruments? Yes. We build direct instrument interfaces and middleware integration (including Data Innovations), with result capture, validation, and QC and calibration tracking, so your existing analyzers connect cleanly. Do you support LOINC mapping? Yes. We implement LOINC mapping for test coding, and SNOMED CT for findings where structured coded results are required, so your data is standardized and interoperable. How do you handle CLIA and CAP compliance? We build the software features that support CLIA and CAP requirements — quality control, calibration tracking, controls, and documentation. The certification and accreditation are held by your lab; our role is to make the system support them. What about reference lab integration? We build reference-lab send-out and result-return integration via HL7 and FHIR, so orders to reference labs and their results flow correctly through your LIS. Schedule a Custom LIS Development Discovery Call → Reviewed by Taction Software’s HL7 and laboratory integration engineering team. ISO 27001-certified information security management. PHI is handled under a signed BAA — see our healthcare data security practice.

Chronic Care Management is one of the few healthcare services where good software pays for itself directly: CCM is Medicare-reimbursed, time-based, and documentation-heavy — exactly the kind of program that thrives on purpose-built tooling and bleeds revenue without it. Taction Software builds custom CCM software — accurate time tracking, comprehensive care plans, patient engagement, RPM integration, and billing automation — for primary care groups, ACOs and value-based care organizations, and CCM SaaS vendors. Schedule a CCM Software Discovery Call → (NDA-protected) CCM regulatory expertise · EHR integration experience · HIPAA + BAA · healthcare engineering credentials Why CCM Reimbursement Drives Software Investment CMS CCM Reimbursement Codes (99490, 99439, 99491, 99437) CCM is reimbursed through a family of CPT codes — 99490 and 99439 for clinical staff time, and 99491 and 99437 for physician or qualified-professional time. The revenue is real and recurring, which is why providers invest in software that captures it reliably. Required Documentation for Reimbursement CCM reimbursement depends on documentation: patient consent, a comprehensive care plan, 24/7 access, and accurate time tracking against the monthly thresholds. Miss the documentation and you miss the payment — or fail an audit. Why Generic EHRs Underperform for CCM Generic EHRs do not track CCM time accurately, do not structure CCM care plans well, and do not automate CCM billing. The result is undercounted time, leaked revenue, and compliance risk — the gap purpose-built CCM software closes. CCM Software Solutions We Build Time Tracking & Documentation Accurate time capture, care-coordination activity logging, and documentation templates that make every reimbursable minute defensible. Care Plan Management Comprehensive care-plan authoring, patient sharing and updates, and goal tracking and outcomes that satisfy CCM requirements and actually guide care. Patient Engagement 24/7 patient-access communication, care-team messaging, and educational content delivery, built on our patient portal practice. RPM Integration Device data ingestion, combined RPM + CCM billing, and alert management, drawing on our remote patient monitoring work. Billing Automation Reimbursement eligibility tracking, automated claim preparation, and revenue reporting so the program’s financial performance is visible and the billing is clean. RPM + CCM Integrated Programs Stacked Reimbursement Strategy CCM and RPM can be billed in the same month when each program’s requirements are met independently and time is not double-counted. We build the program so both are captured correctly, not at the expense of each other. Device & Workflow Integration We integrate connected devices and the monitoring workflow so RPM data flows into the same care relationship as CCM. Combined Reporting We provide combined reporting across CCM and RPM so leadership sees the full program performance in one place. CCM Workflow Design Patient Eligibility & Consent We build eligibility identification (patients with multiple chronic conditions) and consent capture into the front of the workflow. Initial Visit & Care Plan Creation We support the initiating visit and comprehensive care-plan creation that establish the CCM relationship. Monthly Care Coordination We structure the monthly care-coordination activity and time capture that drive reimbursement. Documentation & Billing We close the loop with documentation and automated billing, so the month’s work converts to clean, defensible claims. Integration with EHR & Practice Systems EHR Bidirectional Integration We integrate bidirectionally with your EHR via HL7 and FHIR, so CCM data and the clinical record stay in sync. See our custom EHR work. Practice Management & Billing We connect to practice management and billing systems so CCM claims flow through your existing revenue cycle. Patient Portal Integration We integrate with patient portals so patients have a single, coherent experience. Engagement Options We work in three common shapes: a custom CCM build for provider groups, CCM SaaS product development for vendors, and integration with existing CCM platforms where you want to extend rather than replace. Schedule a CCM Software Discovery Call → Frequently Asked Questions Does the software meet CMS billing documentation requirements? Yes. We build CCM around the documentation CMS requires — consent, a comprehensive care plan, 24/7 access, and accurate time tracking against the monthly thresholds — so claims are defensible and audit-ready. Can we combine CCM with RPM and PCM? Yes. We build programs that support CCM alongside RPM and Principal Care Management where appropriate, capturing each program’s requirements separately and without double-counting time, so reimbursement is maximized correctly. How does it integrate with our existing EHR? We integrate bidirectionally with your EHR via HL7 and FHIR, and connect to your practice-management and billing systems, so CCM fits into what you already run rather than becoming a disconnected island. Schedule a CCM Software Discovery Call → Reviewed by Taction Software’s healthcare engineering team. ISO 27001-certified information security management. PHI is handled under a signed BAA — see our healthcare data security practice.

Hospice care runs on workflows that mainstream EHRs simply do not model — interdisciplinary group meetings, four distinct levels of care, HQRP reporting, the HOPE assessment, and bereavement and family support that extend beyond the patient’s life. Taction Software builds custom hospice software — hospice EHRs, IDG coordination tools, field-staff mobile apps, and family engagement portals — for hospice operators, palliative care groups, and hospice SaaS founders who need software that fits how hospice actually works. Schedule a Hospice Software Discovery Call → (NDA-protected) Hospice domain expertise · HQRP & HOPE-aware · HIPAA + BAA · healthcare engineering credentials Why Hospice Needs Specialized Software IDG (Interdisciplinary Group) Workflow Medicare requires the hospice interdisciplinary group to review and update each patient’s plan of care at least every 15 days. Generic EHRs do not model the IDG meeting, the roles, or the cadence — so hospices end up working around their software. Four Levels of Care Management Hospice delivers care across four levels — routine home care, continuous home care, inpatient respite care, and general inpatient care — each with its own documentation and billing rules the software must handle natively. HQRP Reporting Requirements Hospices must meet the Hospice Quality Reporting Program requirements, with financial consequences for falling short. The software has to capture and report the right measures. HOPE Tool Implementation CMS’s HOPE (Hospice Outcomes & Patient Evaluation) assessment is now part of hospice quality reporting. We build HOPE data capture and timing into the clinical workflow. Bereavement & Family Support Workflows Hospice uniquely cares for the family before and after the patient’s death. Bereavement tracking and family support are core workflows, not afterthoughts. Hospice Software Solutions We Build Hospice EHRs Patient admission and eligibility, plan-of-care development, visit documentation, medication management, and bereavement tracking — built on our custom EHR and custom healthcare software foundation. IDG Coordination Tools IDG meeting documentation on the required cadence, care plan updates, and quality-measure tracking — purpose-built for the interdisciplinary group. Mobile Apps for Hospice Field Staff Offline documentation, photo and wound-care capture, and patient status updates for clinicians working in homes and facilities, built on our mobile app development practice. Family & Caregiver Engagement Family portals, bereavement resources, and care-team communication that support families through and beyond care, built on our patient portal work. HQRP & HOPE Tool Compliance HQRP Quality Measure Reporting We build capture and reporting of the HQRP quality measures into the workflow, so reporting is a byproduct of documentation rather than a separate burden. HOPE Tool (Hospice Outcomes & Patient Evaluation) We implement HOPE assessment capture at the required points in the patient journey, with validation so submissions are clean. CAHPS Hospice Survey Support We support the data and processes around the CAHPS Hospice Survey, so the family-experience side of quality is handled. Billing & Reimbursement Levels-of-Care Billing We build billing for all four levels of care — routine home care, continuous home care, inpatient respite care, and general inpatient care — with their distinct rules. Medicare Hospice Benefit Compliance We build to Medicare Hospice Benefit requirements, so eligibility, certification, and benefit periods are handled correctly. Service Intensity Add-On (SIA) We support Service Intensity Add-On billing for qualifying visits at the end of life. Cap Management We build hospice aggregate cap tracking so agencies can monitor and manage their cap exposure proactively. Integrations We Build We connect hospice systems to the rest of care: pharmacy and e-prescribing, hospital EHR connections, DME coordination, and lab integration — so the hospice team has what it needs without manual workarounds. Engagement Options We work in three common shapes: a custom hospice EHR for a single agency, hospice SaaS product development for vendors, and add-on modules for existing systems. Schedule a Hospice Software Discovery Call → Frequently Asked Questions Why custom vs. existing hospice EHRs? Packaged hospice EHRs work for many agencies. Custom development makes sense when your operations, programs, or business model exceed what they support, or when you are a vendor building a product of your own. We will give you an honest read on which path fits. Do you handle HQRP and HOPE Tool? Yes. We build HQRP quality-measure capture and reporting, and HOPE assessment capture at the required points, into the clinical workflow with validation so submissions are clean. Can the system handle multi-state operations? Yes. We build for multi-state hospice operations, accommodating the varying licensure and operational requirements across the states you serve. Schedule a Hospice Software Discovery Call → Reviewed by Taction Software’s healthcare engineering team. ISO 27001-certified information security management. PHI is handled under a signed BAA — see our healthcare data security practice. For agencies that also deliver home health, see our home healthcare software development work.

Home health is one of the fastest-growing corners of healthcare — and one of the most distinctive to build software for. Care happens in patients’ homes, not in a facility, which means offline-first mobile apps, GPS-based Electronic Visit Verification, OASIS-E reporting, route optimization, and multi-state compliance all become first-order requirements. Taction Software builds custom home healthcare software — home health EHRs, EVV-compliant caregiver apps, OASIS reporting, and scheduling and workforce tools — for home health agencies and home care SaaS vendors. Schedule a Home Health Software Discovery Call → (NDA-protected) Why Home Healthcare Needs Specialized Software Field Worker Workflow Requirements Caregivers work in the field, often back-to-back across many homes. The software has to serve a mobile, on-the-go worker, not someone at a desk. Offline-First Mobile Necessity Connectivity in patients’ homes is unreliable. Home health apps must work fully offline and sync cleanly when a connection returns — an architecture most generic apps get wrong. This is core to our mobile app development practice. Electronic Visit Verification (EVV) Mandates The 21st Century Cures Act mandates EVV for Medicaid personal care and home health services. Getting EVV right — and integrating with state systems — is non-negotiable. See our overview of 21st Century Cures Act compliance. OASIS Reporting Complexity Medicare-certified home health agencies must complete and submit OASIS assessments. The current OASIS-E adds data elements and complexity the software must handle natively. Multi-State Licensure & Compliance Agencies operating across states face varying licensure and EVV requirements, which the software has to accommodate. Home Healthcare Solutions We Build Home Health EHRs & Practice Management Patient records and charting, care plan management, OASIS-E reporting, and PDGM billing, built on our custom EHR and custom healthcare software foundation. EVV-Compliant Mobile Apps GPS verification, service verification and time tracking, 21st Century Cures Act EVV compliance, and state EVV aggregator integration — the visit-verification backbone agencies depend on for reimbursement. Caregiver Mobile Workflows Offline-first architecture, visit documentation, medication administration, and photo and wound-care documentation — built for real field conditions. Scheduling & Workforce Management Caregiver matching and scheduling, route optimization, and time and attendance for the logistics-heavy reality of home care. EVV Compliance & State Aggregators What EVV Requires (Cures Act §12006) EVV captures the core facts of each visit — the service, the patient, the caregiver, the date, the location, and the start and end times — verified electronically. We build all of it to the federal standard. State EVV Aggregator Integration (Sandata, HHAeXchange, Tellus) We integrate with the major state EVV aggregators and vendors, including Sandata, HHAeXchange, and Tellus, so visit data flows to the systems your states require. Open Model vs. State Choice Model States implement EVV under different models. We build to the model your states use, whether an open-vendor model or a state-selected system. OASIS-E Reporting OASIS-E Data Elements We build OASIS-E assessment capture into the clinical workflow, with validation so submissions are clean. CMS Submission Workflows We handle the CMS submission workflow so assessments reach iQIES correctly and on time. Quality Reporting & Star Ratings We support the quality reporting that feeds agency star ratings, so your performance is captured accurately. Home Healthcare Sub-Segments We Serve We build for Medicare-certified home health agencies, private duty / non-medical home care, personal care services, and pediatric home health — each with its own reimbursement and compliance profile. Cost & Timeline Home health projects range from EVV-compliant mobile apps to full agency platforms. Cost and timeline are driven by scope — the modules, EVV and OASIS depth, state coverage, and integrations. We provide a firm, scoped estimate after the discovery call. Schedule a Home Health Software Discovery Call → Frequently Asked Questions Are you EVV-compliant in all 50 states? EVV requirements and models vary by state. We build EVV to the federal Cures Act standard and integrate with the major aggregators — Sandata, HHAeXchange, and Tellus — and state systems for the states you operate in, rather than assuming a single nationwide configuration. How do you handle OASIS-E? We build OASIS-E capture into the clinical workflow with validation, and handle the CMS submission process so assessments are complete, correct, and submitted on time. Do your apps work offline? Yes. We build offline-first, so caregivers can document visits, medication administration, and wound care without connectivity, and the app syncs cleanly when a connection returns. Can you integrate with our existing EHR? Yes. We integrate with existing EHRs and agency systems via standard interfaces, so a new mobile app, EVV layer, or module fits into what you already run rather than replacing it. Schedule a Home Health Software Discovery Call → Reviewed by Taction Software’s healthcare engineering team. ISO 27001-certified information security management. PHI is handled under a signed BAA — see our healthcare data security practice. For home-based monitoring, see our remote patient monitoring work.

Dental software is having its modernization moment. Practices and DSOs are outgrowing legacy products like Dentrix and Eaglesoft, and a wave of dental SaaS founders is building modern alternatives. Taction Software builds custom dental practice management systems, dental EHRs, imaging integrations, and patient-engagement apps — for single practices, multi-location groups and DSOs, and dental software vendors who need an experienced development partner. If you specifically run on Epic’s dental module, see our Epic dental software work; this page covers custom and non-Epic dental builds. Schedule a Dental Software Discovery Call → (NDA-protected) Why Modern Dental Software Demand Is Growing Legacy Dentrix / Eaglesoft Limitations Long-standing products like Dentrix, Eaglesoft, and Open Dental still run much of the industry, but their architecture and user experience increasingly frustrate practices that want modern, cloud-based, integrated software. DSO Consolidation & Multi-Location Needs As DSOs consolidate practices, they need multi-location reporting, centralized scheduling, and cross-site patient records that single-practice products were never built to provide. Modern Patient Experience Expectations Patients now expect online scheduling, digital intake, and easy bill pay. Practices that cannot offer that lose ground to those that can. Integration Demands Modern dental operations need imaging, insurance, and patient-engagement systems to work together — integration that legacy products handle poorly. Dental Software Solutions We Build Custom Dental Practice Management Systems Full DPMS covering patient records and charting, scheduling and operatory management, treatment planning and case acceptance, and billing, claims, and insurance — built around your workflow on our custom EHR and custom healthcare software foundation. Dental Imaging Integration DICOM integration, intraoral camera integration, CBCT workflow, and connectivity with Carestream, Dentsply Sirona, and Planmeca systems. See our DICOM imaging pipeline work. Patient Engagement Apps Appointment scheduling and reminders, forms and intake digitization, treatment plan acceptance, and bill pay — built on our patient portal practice. Multi-Location / DSO Platforms Multi-site reporting, centralized scheduling, and cross-site patient records for DSOs and multi-location groups. Dental Imaging Integration Expertise DICOM Standards We integrate dental imaging via DICOM so images flow into the clinical record and the right workflows. Major Imaging Vendor APIs We connect to the major dental imaging vendors’ systems and APIs, so existing hardware investments keep working. Cloud-Based Imaging Storage We build compliant cloud imaging storage where practices want to move off local servers, with the safeguards imaging PHI requires. Dental Insurance & Claims Integration ADA Code System (CDT) We build native support for the ADA’s Current Dental Terminology (CDT) code set, so documentation and billing align. Real-Time Eligibility (DentalXChange, Vyne) We integrate real-time eligibility through dental clearinghouses such as DentalXChange and Vyne. Claim Submission & ERA We build claim submission and electronic remittance advice (ERA) handling into the billing workflow. Pre-Authorization Workflows We support the pre-authorization workflows dental billing frequently requires. HIPAA Compliance for Dental Software Dental-Specific PHI Considerations Dental records, including imaging, are PHI. We build the access controls, audit logging, and encryption HIPAA requires into the software — see our HIPAA-compliant development practice and HIPAA risk assessment. Imaging Storage Compliance We ensure imaging storage meets HIPAA requirements, whether on-premises or in the cloud, as part of our data security approach. BAA & Cloud Hosting We sign BAAs and deploy on HIPAA-eligible cloud infrastructure with appropriate agreements in place. Engagement Models for Dental Software We work in four common shapes: a custom DPMS build for a single practice or DSO, dental SaaS product development for vendors, legacy dental software modernization (see our software modernization practice), and add-on modules for existing software. Schedule a Dental Software Discovery Call → Frequently Asked Questions Why custom dental software vs. Dentrix or Open Dental? Packaged products work for many practices. Custom development makes sense when you have multi-location or DSO needs they handle poorly, integration requirements they cannot meet, or — for vendors — a product of your own to build. We will give you an honest read on which path fits. Can you integrate with our existing imaging hardware? Yes. We integrate with major dental imaging systems via DICOM and vendor APIs — including Carestream, Dentsply Sirona, and Planmeca — so your existing hardware keeps working. Do you build for DSOs or single practices? Both. We build single-practice systems and multi-location/DSO platforms with multi-site reporting, centralized scheduling, and cross-site records, as well as SaaS products for dental software vendors. How do you handle insurance verification? We integrate real-time eligibility through dental clearinghouses such as DentalXChange and Vyne, and build claim submission, ERA, and pre-authorization workflows into the billing experience. Schedule a Dental Software Discovery Call → Reviewed by Taction Software’s healthcare engineering team. ISO 27001-certified information security management. PHI is handled under a signed BAA.