Designing AI solutions for high risk organizations isn't cut and dry
Our team of experts include data science consultants, engineers, and industry professionals who have a deep understanding of the unique challenges faced by high-risk industries. When the stakes are high, there is a lot to consider. We can help…
Ethical considerations, such as fairness, accountability, transparency, and privacy, must be incorporated into AI systems for high-risk industries during their design and development.
High-risk industries are subject to regulatory requirements and standards. Responsible AI in these industries requires compliance with these requirements, as well as proactive engagement with regulators to ensure that AI systems are designed and deployed in a manner that meets expectations.
AI systems in high-risk industries must be rigorously tested and validated to ensure that they are reliable, accurate, and safe.
Developing AI solutions for high-risk industries requires collaboration and transparency among stakeholders, including industry leaders, regulators, and the public. This involves engaging in open dialogue about AI development and deployment, as well as sharing information about AI systems and their performance.
AI systems in high-risk industries must be continually monitored and evaluated to ensure that they are functioning as intended and that they are not causing unintended consequences or risks. This may involve ongoing monitoring of data inputs and outputs, as well as regular audits and evaluations of the AI system’s performance.
“The Pandata team was truly outstanding. Thanks to their expertise in machine learning models, we were able to build and validate a robust predictive model in cancer patients which we are currently testing in an inpatient setting.”
Some of our successes with high risk industry clients include...
- Identified 74% of cancer patients likely to experience an unplanned hospitalization, associated with an estimated cost savings of up to $2.2 million per year
- Increased monthly revenues by 18% for a benefits management company overseeing 50MM+ patients
- Developed solutions to allow a major utility company to efficiently detect threats across hundreds of thousands of daily events on their network
- Analyzed patterns across nearly 1M retinal images to enable a healthcare system’s medical research efforts
- Predicted missing attributes across 100k+ patients for a health tech startup, presenting an opportunity for $1M+ in additional business per year and saving over $70k in recruitment expenses
- Identified 4% of 100k+ patients at the highest risk of delayed breast cancer screening, providing individualized explainability using various social factors for a healthcare system’s clinical & community outreach teams
- Delivered first-of-its-kind visibility into the 90-day outlook of 150 thousand surgical procedures across departments and specialties, allowing a major healthcare system to rapidly respond to anomalous outcomes
