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.
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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.
