Industries
Healthcare and Life Sciences
Utilizing AI to assist in clinical trials, predict patient needs, and create better health management tools
Fragmented data, legacy systems, and strict compliance requirements slow down innovation in healthcare From managing trials to delivering personalized care, healthcare and life sciences organizations face complexity at every level.
We help simplify and accelerate innovation—by combining AI, secure data infrastructure, and user-centered tools to improve outcomes, reduce costs, and support compliance
Future trends
expected time savings
SnowflakeAI automation reshapes healthcare labor capacity plans
Within two years, healthcare capacity planning will increasingly assume AI-enabled automation across clinical and administrative workflows. Organizations that delay redesign risk preserving an unnecessarily expensive labor base.
More than half of healthcare organizations expect generative or agentic AI to deliver 10% to 50% time savings.
Snowflake
leaders increasing interoperability priority
SnowflakeInteroperability becomes healthcare AI's scaling architecture
Over the next two years, interoperable data will become the scaling architecture for healthcare AI rather than an IT modernization project. Health systems that delay integration will constrain their AI deployment capacity.
Eighty-five percent of healthcare and public health agency leaders say data sharing and interoperability are a higher priority than two years ago.
Snowflake
supplemental payment share
Holland & KnightAI imaging triage gains a reimbursed hospital pathway
By October 2026, reimbursement will make AI diagnostic triage a budgeted imaging capability rather than an unfunded experiment. Hospitals that prepare billing workflows can access a new reimbursed revenue pool.
Beginning October 1, 2026, qualifying hospital cases using the AI diagnostic tool can receive supplemental payments covering up to 65% of eligible technology costs.
Holland & Knight
planning, piloting, or deploying agentic AI
GlobantAgentic AI moves into commercial pharma's core workflows
Over the next 18 months, commercial pharma will shift agentic AI from experiments into governed core-workflow deployment. Companies without orchestration and validation foundations risk slower commercial execution.
Seventy-three percent of commercial pharma respondents are planning, piloting, or deploying agentic AI initiatives.
Globant
Our use cases
We can develop models that identify ideal trial candidates, monitor patient responses, and predict dropouts—improving recruitment and retention
We provide tools that generate tailored recommendations based on patient data—empowering proactive care and ongoing engagement
We know how to manage sensitive health data securely—ensuring full traceability, access control, and compliance with global standards
We can deploy AI assistants that support clinical staff—by summarizing records, scheduling tasks, and guiding administrative workflows
We offer dashboards that track patient health trends, resource use, and operational efficiency—supporting faster, data-driven decisions
We help bring digital health ideas to life—quickly launching secure, user-friendly apps for mental health, chronic care, or patient tracking