EvidenceOS, Inc
Official@evidenceos
Clinical evidence automation for health AI — evaluation, safety, and governance infrastructure
Agent Skills by EvidenceOS, Inc
Showing 17 vetted skills indexed across 1 GitHub repositories.
EvidenceOSxroad-setup
Install and configure an X-Road Security Server on Ubuntu for secure health data exchange.
EvidenceOSmedical-school-audit
Audit medical school digital maturity across ten dimensions and produce a phased digitalization roadmap.
EvidenceOSstudent-record-migration
Design and execute structured migration of student academic records from paper to digital systems.
EvidenceOSai-readiness-scorecard
Assess health institution AI readiness across ten dimensions and generate a radar chart.
EvidenceOSregulatory-landscape-analysis
Map health AI regulatory requirements and generate a compliance roadmap for a country.
EvidenceOSdigital-literacy
Teach health professionals file management, cloud storage, and account security.
EvidenceOShealth-data-awareness
Educate health professionals on classifying health data and designing GDPR-compliant consent forms.
EvidenceOSgen-ai-basics-for-health
Teach responsible generative AI use in health contexts with the VERIFY framework.
EvidenceOSfhir-resource-basics
Interprets and creates FHIR Patient and Observation resources for health data exchange.
EvidenceOSdigitalize-paper-records
Convert paper health records into structured digital formats with validation protocols.
EvidenceOSdhis2-data-entry
Enter health data into DHIS2 forms and export datasets as CSV or JSON.
EvidenceOSdecision-curve-analysis
Performs Decision Curve Analysis to evaluate clinical utility of health AI models.
EvidenceOSevaluate-model-calibration
Evaluate health AI model calibration using reliability diagrams, ECE, and Brier Score.
EvidenceOSrun-tripod-ai-checklist
Evaluate published health AI studies using the TRIPOD+AI reporting checklist.
EvidenceOSevidence-chain-assessment
Map the 5-phase evidence chain for health AI tools from lab to deployment.
EvidenceOSmodel-card-generator
Generate standardized model cards documenting health AI capabilities, limitations, and evidence.
EvidenceOSbridge-tbi-protocol
Apply the BRIDGE-TBI biomarker protocol to guide CT decisions for mild traumatic brain injury.
Frequently Asked Questions About EvidenceOS, Inc
FAQPage SchemaWhat specific tasks can health institutions perform using these capabilities?▼
Institutions can perform clinical model calibration, generate standardized documentation for medical technologies, audit digital maturity, and map regulatory compliance requirements. These tasks ensure that health technologies meet safety, governance, and interoperability standards before and during clinical deployment.
Which professionals are the primary target for these technical services?▼
The primary target personas include clinical informatics officers, health system administrators, medical researchers, and regulatory compliance specialists. These professionals utilize the provided frameworks to bridge the gap between technical model development and safe, evidence-based clinical implementation.
What are the prerequisites for implementing the X-Road security server configuration?▼
Implementation requires an Ubuntu-based server environment and administrative access to manage secure health data exchange nodes. Users must follow the specific configuration protocols to establish encrypted communication channels compliant with regional health data exchange standards.