WHAT PONTEGRA PROVIDES
Design, deploy, and manage Smart Applications for Clinical Decision Support
Pontegra helps healthcare organizations deliver clinical decision support (e.g. guideline-based recommendations) through easily deployable modules that work as part of real clinical workflows, not in isolated dashboards.
We enable this by supporting the development of SMART-on-FHIR applications and CDS Hooks–compliant services that integrate directly with EHR systems.
Powered by: KronIQ (integrated care pathways) + onfhir-cds (CDS services) + Repofyr (FHIR repository/API) + Ignifyr (HL7 FHIR® integration).
WHAT YOU CAN DELIVER
Transforming Clinical Data into Actionable Guidance
Clinician-facing SMART apps
To support clinicians with:
- Task-focused workflows (e.g. screening and monitoring diseases based on clinical guideline recommendations)
- Risk assessment and delivery of preventive care recommendations
- Shared care plan views and guided care plan updates (e.g. referrals, laboratory orders, medication updates)
Patient empowerment experiences with smart engagement strategies
Patient-facing SMART applications to engage and guide patients through:
- Symptom reporting
- Self-monitoring
- Care plan adherence
- Collection of patient-reported outcomes
How we can help you
Bridging the Gap Between Clinical Logic and EHR Workflows
Easily build CDS services following the CDS Hooks standard to deliver guidance at the right moment
We accelerate the development of CDS services so your teams can focus on clinical logic rather than boilerplate code. We provide libraries and a management environment that enable the following:
- Triggering suggestions through clinical workflow events implemented as CDS Hooks
- Handling CDS Hooks requests and retrieving patient data as contextual input to deliver fast, personalized recommendations
- Configuring rules and content for easy adaptation across sites and regions
- Managing templated and localizable CDS card generation to deliver context-relevant recommendations
- Implementing feedback endpoints for CDS modules to support continuous improvement through human-in-the-loop mechanisms
- Using deployment-ready patterns for authentication and secure integration with EHRs, following SMART on FHIR guidelines
Easily Integrate AI-enabled decision support for prediction and simulation within clinical workflow
Many organizations are building predictive models such as risk scores, deterioration prediction, and readmission risk, but struggle to operationalize them safely and effectively inside the EHR. Complex decision support and AI models often require multiple inputs and configuration parameters, which creates additional challenges for reliable EHR integration.
Pontegra enables the integration of AI capabilities into clinical workflows by wrapping prediction and simulation services as governed decision support services that can be easily integrated with EHRs.
AI prediction integration (risk scoring)
- Extract input parameters from EHRs via secure FHIR based data pipelines
- Invoke a model service to generate risk scores or predicted outcomes
- Return results seamlessly within the EHR via CDS Hooks cards and/or SMART applications
- Capture “why this fired” with traceable context (model version, timestamp, input summary)
- Expose simulation services (e.g., projected outcomes under different interventions) through controlled interfaces
- Present outputs as actionable guidance linked to care pathways and clinical guidelines, rather than opaque scores
Governance-minded operationalization
- Log and trace every model invocation
- Support review and iteration through feedback capture, rule tuning, and threshold calibration
- Enable site-specific configuration and language localization
HOW PONTEGRA MAKES THIS PRACTICAL
Engineering Reliability into Every Decision
1.
Configurable content and localization
- Site-specific medical terminologies, thresholds, and care pathways
- Multilingual content templates with consistent rendering of guidance
2.
Secure operations patterns
- Controlled access to FHIR data sources via Smart on FHIR standard
- Safe output patterns using CDS Hooks card templates and audit-friendly event logging
- Compatibility with secure and restricted environments (e.g. SPE and TRE-style deployments)
3.
Feedback loops to improve quality
- Track when guidance is shown, accepted, dismissed, or overridden by practitioners
- Feed insights back into rule tuning, pathway refinement, and model recalibration
WHERE THIS FITS
Target Environments for Intelligent Care
Hospitals and EHR programs
- Embedded decision support for clinical guideline adherence, predictive risk assessments, and clinical guidance
- Structured follow-up pathways (e.g., diabetes monitoring, hypertension screening)
National / regional digital health programs
- Configurable care pathway standardization, automation and localization
- Consistent clinical guideline adherence
AI teams who need clinical adoption
- Integration of models into daily clinical workflows, not isolated AI environments
- Controlled deployment patterns with traceability and governance
SEE YOUR OPTIONS
Packages
Smart Clinical Decision Support Enablement Pack
The Smart Application Enablement Pack helps hospitals take one concrete decision support idea and embed it safely into real clinical workflows using SMART on FHIR and CDS Hooks.
We start with a decision support module you choose, such as a CVD risk screening alert, CKD deterioration risk notification, or medication safety check.