Responsible AI at Medecision
Medecision ensures that humans are always in the front seat.
Medecision leverages responsible AI to deliver trusted, intelligent workflows that reduce administrative burden, improve care coordination, and drive measurable value for health plans and providers.
Medecision is scaling the responsible use of data and artificial intelligence as a key differentiator across our current and future product offerings. In a rapidly evolving generative AI landscape, we are committed to earning the trust and confidence of our customers through configurable, trustworthy AI solutions supported by strong data architecture, advisory services, and agentic workflows.
Responsible AI is not a compliance checkbox at Medecision, it is foundational to our approach to innovation. Embedded throughout the software lifecycle, our governance and risk management frameworks guide the development, deployment, and use of AI applications, analytics, and workflows to ensure they are safe, effective, and aligned with real-world healthcare needs.
Medecision’s commitments to the responsible development, use, and deployment of artificial intelligence
Value & utility
AI systems are developed, used, and deployed in ways that enhance healthcare outcomes, demonstrate clear value to Medecision and its customers, and avoid harm to patient safety.
Validity & reliability
Medecision regularly evaluates its AI systems for validity, to measure if the system is accurately performing its intended task, and for reliability, to assess the consistency and dependability of its outcomes. Evaluation measurements and metrics will be fit-for-purpose and tailored for each AI use case.
Privacy & security compliance
Medecision adheres to applicable data privacy and security regulations, minimizes the use of PHI and PII data in training AI systems, and safeguards its AI systems from unauthorized access, use, or disclosure.
Auditability & transparency
To support trust, adoption, and understanding, Medecision strives to provide explanations about the outputs and decisions of its AI systems. To enable transparency, Medecision maintains clear, internal documentation of the inputs, algorithms, and use of its AI systems.
Accountability & oversight
Medecision ensures clear governance and responsibilities through all stages of the AI lifecycle, from development through deployment. This includes prioritizing human oversight, assessing risk and harm, and developing controls for incident management and escalation.
Minimize adverse impact
Medecision aims to deploy accessible and inclusive AI systems that mitigate harmful bias and maximize fair outcomes. This includes ensuring that no adverse determinations are made based solely on AI.
Our operating model
Our AI Governance program builds in three tiers of human review and oversight, ensuring accountability, oversight, and compliance from start to finish. Medecision’s approach to AI governance is aligned with CMS, NIST, and HISTRUST frameworks and are up to date on all the federal administration updates and executive orders
Cross-Functional Human Oversight
Three tiers of robust, cross-functional review and oversight ensures accountability, transparency, and compliance from start to finish.
Risk-Tiered Governance
A formal Risk Calculator and Risk Framework that categorize AI solution by risk level, with aligned mitigation strategies, governance review, and escalation pathways.
Model Intake & Documentation
Both third-party tools and internally developed solutions undergo formal intake, documentation , and compliance review, including required vendor attestations to support traceability and governance review.
Post-Deployment Monitoring
Post-deployment monitoring is embedded across the model’s lifecycle, including continuous tracking of metrics, limitations, and user feedback to inform evaluation and refinement.