Your Clinical Decision Support System Vendor
Our team designs CDSS platforms that seamlessly integrate with EMRs, imaging devices, and existing clinical infrastructure, ensuring smooth adoption without workflow disruption. Every solution is developed with regulatory standards such as HIPAA, GDPR, MDR, and FDA in mind, so you can move confidently toward certification and market launch.
At Altris IO, we go beyond coding — we act as your strategic partner, guiding you from idea to deployment. We are your reliable clinical decision support system vendor.
Our focused expertise in eye care ensures that every platform we build aligns with the specific needs of clinicians and researchers in the field. We understand the importance of precision and clarity in retinal imaging workflows, diagnostic support, and data management. By combining AI technology with clinical insights, we empower eye care professionals to make faster, more informed decisions and ultimately improve patient outcomes.
Altris IO is trusted by the major eye care companies of the world: we develop compliant and secure CDSS for eye care and use AI to generate clinical insights and transform raw data into a valuable asset.
Who will benefit the most out of it
Large hospitals and clinics rely on CDSS to support clinicians with real-time insights, reduce diagnostic errors, and standardize care across departments. Their need is to improve patient outcomes while optimizing workflows and resource use.
Pharma companies and CROs use CDSS to analyze patient data, identify cohorts, and support decision-making in clinical trials. Their need is to accelerate research, ensure data-driven trial design, and meet strict regulatory requirements.
Specialized practices (e.g., ophthalmology, cardiology, oncology) and diagnostic labs use CDSS for advanced diagnostics, image interpretation, and risk assessment. Their need is to increase accuracy in complex cases and introduce new treatments with confidence.
High-Demand CDSS Features
Diagnostic Decision Support
- Real-time analysis of medical images, lab results, and patient histories
- AI-powered alerts for early disease detection and risk factors
- Differential diagnosis suggestions to support clinician decision-making
- Integration with existing diagnostic devices (imaging, pathology, ECG, etc.)
- AI Clinical Decision Support system offers deep clinical insights
Security
- End-to-end encryption for data in transit and at rest
- Role-based access control and multi-factor authentication
- Compliance with HIPAA, GDPR, MDR, and FDA standards
- Detailed audit trails for all user actions and system changes
- Automated breach detection and incident response protocols
Integration
- Seamless connectivity with EHR/EMR systems for unified patient records
- Direct integration with PACS, LIS, and RIS to streamline imaging and lab data access
- Support for healthcare standards like HL7, FHIR, and DICOM to ensure interoperability
- API-based architecture for easy connection with third-party platforms and digital health apps
- Cross-vendor compatibility, enabling use with multiple devices and diagnostic equipment
Admission Decision Support
- Automated triage based on urgency and clinical data
- Patient risk scoring for prioritizing admissions
- Bed and resource allocation guidance
- Predictive analytics for hospital readmission risks
- Integration with scheduling systems for smoother patient flow
- Tailored to Specific Clinical Needs
Off-the-shelf CDSS tools are generic, but a custom solution can be designed around your exact clinical workflows, specialties (ophthalmology, oncology, cardiology, etc.), and care protocols.
- Enhanced Clinical Accuracy
Can leverage AI/ML models trained on your patient data to provide more accurate risk stratification, diagnosis support, or treatment recommendations.
- Regulatory & Security Control
Ensures compliance with HIPAA, GDPR, MDR, FDA SaMD guidance, etc., from the start.
- Competitive & Research Advantage
Provides a differentiator for hospitals, clinics, or research organizations by offering advanced, proprietary clinical decision support.
- Improved Workflow Efficiency
Reduces clinician burden and cognitive overload by surfacing only relevant alerts, enabling real-time decision support at the point of care.
