Clinical Decision Support Software Development

Build when your clinical workflows, evidence base, or alert design requirements do not fit packaged products. Common build triggers: specialty-specific decision support, proprietary ML models, multi-site standardization, value-based care integration, or SaMD product development. Build is also necessary when CDSS is your commercial product. Otherwise, packaged CDSS is usually faster and cheaper.

It depends on what the software does. The FDA has guidance on which CDSS functions are exempt under the 21st Century Cures Act and which are regulated as Software as a Medical Device (SaMD). Diagnostic CDSS, image-based CDSS, and CDSS that recommends specific treatments often require FDA pathway. Pure information display or generic alerts may be exempt. Bacancy helps clients make the SaMD classification call and then engineers to FDA requirements when applicable.

A focused CDS Hook service or single predictive model runs $100,000 to $300,000. A complete CDSS platform for a single use case runs $300,000 to $700,000. Enterprise CDSS platforms with multiple clinical modules range from $700,000 to $1.5M. SaMD-pathway products add $300K to $1M depending on classification and clinical validation requirements. Bacancy scopes pricing to your specific environment.

A focused CDS Hook service takes 3 to 6 months. A complete CDSS platform build takes 9 to 16 months depending on scope and SaMD classification. SaMD-pathway products including FDA submission can take 12 to 30 months. Our team delivers in two-week sprints with demo-driven progress reviews and continuous clinician feedback.

Alert fatigue is the leading cause of CDSS failure. Our approach is design-led, not technology-led: alert governance from project kickoff, evidence-based alert thresholds, clinician-personalized alerting, alert burden monitoring as a KPI, and quarterly governance reviews. We track override rates, time-to-action, and clinical outcomes as primary metrics, not just alert fire counts.

Yes. We integrate with Epic, Cerner Oracle Health, Athenahealth, NextGen, eClinicalWorks, Allscripts, and MEDITECH. Modern integrations use CDS Hooks on FHIR or SMART on FHIR apps. Legacy integrations use vendor-specific APIs. EHR integration is typically a 6 to 14-week workstream depending on the target system.

Yes. We train and deploy clinical ML models for sepsis early warning, readmission prediction, deterioration detection, no-show prediction, length-of-stay forecasting, and population health risk scoring. Every model ships with bias testing, drift monitoring, fairness assessment, and human-in-the-loop review. We also build generative AI features (summaries, recommendation drafting, clinical Q&A) using HIPAA-compliant LLM infrastructure.

We build evidence-based content infrastructure around USPSTF, ACC/AHA, NCCN, ADA, ASCO, AAP, ACOG, and specialty society guidelines. We also integrate with commercial content providers (Wolters Kluwer UpToDate, IBM Micromedex, FDB First Databank, Wolters Kluwer Medi-Span) when clients prefer licensed content over custom-curated knowledge bases.