Data and AI strategy and architecture that scales with your organization.
Machine learning and advanced analytics to spot patterns and drive decision-making.
Data quality monitoring and governance frameworks that ensure reliable, compliant results.
Healthcare claims and EHR data expertise and automated analysis with built-in healthcare ontologies.
Value-based care analytics to implement new healthcare payment methodologies, including performance analytics for HEDIS and MIPS.
Child welfare information system strategy for analytics, data quality, state and federal reporting, and AI integration.
Customize and train AI agents built for your specific workflows.
Centralize and democratize AI use in hub-and-spoke model.
Automate processes while incorporating human checkpoints.
Our platform delivers auditable, HIPAA-compliant AI solutions tailored for health and human services to improve service delivery and enhance patient care while adhering to the highest standards of privacy and security.
Explore how analytics, artificial intelligence, and modern digital platforms are helping public sector organizations improve service delivery, strengthen decision-making, and drive better outcomes for communities. Learn how government leaders are using data-driven innovation to deliver smarter, faster, and more responsive public services.
At Keywell, we recently partnered with a human services agency to address a significant challenge in the public sector: managing complex information and large volumes of evolving regulations. This case study examines our work developing a technical solution to streamline research and help internal teams develop improved systems for a child welfare agency, demonstrating that our advanced AI and data management capabilities can improve compliance and accelerate progress in highly regulated environments.
A centralized data lake creates powerful information synergy by bringing multiple data streams together in one place. The interaction between different data types reveals patterns and connections that isolated systems might miss. This post explores the outcomes you can achieve by setting up a data lake, the distinctions between data lakes and warehouses, and key principles for building an effective healthcare data architecture.
In healthcare and human services, automatic reporting (powered by AI) offers a compelling solution to data access challenges. AI-based reporting enables non-technical users to answer specific questions as they arise, without relying on pre-built reports or technical teams.
With this approach, business users can create on-demand, customized reports that address their immediate needs. Instead of waiting weeks for IT to build a dashboard, leaders can explore data directly, getting answers in minutes.
