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RIAISE – Risk Incident AI-driven Solution Enterprise

Incident Occurrence Prediction

Using AI predictive analytics, we predict incident occurrence. We utilize healthcare industry data and your environment-specific data and use AI to assign a prediction score based on many factors including but not limited to man, machine, organization, and external location demographics. We have Corrective Action Plan, Fish bone analysis, 5 why’s built into the Incident Tracking solution.

Equipment Failure Prediction

Equipment Failure Prediction Using AI, we predict potential equipment failures. The failures are predicted based on Medical Device Reporting data available from the FDA, equipment scheduled maintenance records, and environmental factors. This would trigger the initiation of proactive maintenance of critical equipment.

Risk Heat Map Visualization

Using the ASHRM risk management framework, for each of the risks identified, AI assigns a value for the likelihood of the risk and a value for the impact of the risk. Based on these two numbers, a risk score is generated for that risk. These risk scores are projected onto a heat map. This heat map would be used to prioritize the risks to be addressed.


Risk Scoring: Assign risk scores for each risk item based on historical healthcare risk data.

Pattern Recognition: Identify patterns and correlations between different types of incidents.

Visual Representation: Visually representing the severity and likelihood of various risks.

Risk Monitoring: Enables organizations to assess, monitor and mitigate risks across different business units.


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