ÓÐÁϺÐ×ÓAPP

AI for Healthcare

Latest Thinking

Health agencies are seeking to enhance care delivery, expand access to resources for underserved populations, reduce administrative burdens, and drive breakthroughs in ‘omics and other research areas—all to create a more efficient, equitable, and innovative healthcare ecosystem. Achieving these goals requires the adoption of tailored AI tools that transform processes through automation, advanced analytics, predictive insights, and real-time support for human workers and patients.

With the largest AI services footprint in the public sector, over 2,500 AI and machine learning practitioners, and innovation programs spanning R&D, venture capital, and strategic partnerships with industry leaders like NVIDIA, ÓÐÁϺÐ×ÓAPP is uniquely positioned to operationalize AI for the health mission. Whether supporting public health surveillance across the United States or enabling personalized medicine, our approach bridges the gap between cutting-edge technology and mission-driven care.

At every stage of our clients’ AI journeys, our clinicians, scientists, and bioinformaticians collaborate with our AI engineers to deliver best practices and drive specialized mission-focused innovation. From predicting patient outcomes and accelerating drug discovery to streamlining provider workflows and automating administrative tasks, we empower health agencies and other organizations to integrate AI responsibly, aligning its potential with priorities while managing enterprise risk across real-world applications.

Health AI by Sector

Care Delivery

Streamline routine administrative tasks such as scheduling, billing, and records management to reduce costs and free up staff members for patient care; automate diagnostic procedures such as medical imaging to find illness sooner and generate personalized treatment plans; and track and proactively respond to patient health changes with AI-powered monitoring tools.

Public Health

Improve data integration and interoperability across federal health agencies, private health systems, and research institutions; place AI-enabled predictive analytics at decision makers’ fingertips in real time to spot and mitigate health threats and risks; and leverage complex open-source datasets for global disease monitoring to optimize resource allocation and blunt future outbreaks.

Life Sciences

Accelerate drug discovery by using AI’s powerful pattern recognition capabilities to identify potential drug candidates more efficiently within massive datasets; generate novel designs via AI-based prediction of how molecular structures will interact with biological targets; and rapidly process clinical trial data to assess the safety and efficacy of new drugs as part of regulatory review.

Benefits

Automate workflows and core processes to reduce cycle times, streamline benefits adjudication, and enhance communication with the public; harness predictive analytics for demand forecasting and budget optimization; and scale machine learning models to detect and prevent waste, fraud, and abuse more efficiently.

Health AI Services

Insights

Publications

In the News

Connect with ÓÐÁϺÐ×ÓAPP’s Health AI Team