Healthcare faces complex challenges daily. Patient data grows exponentially. Administrative tasks consume clinician time. Critical decisions demand speed and accuracy.
Decision Foundry helps healthcare organizations implement Agentic AI for healthcare to streamline operations, improve patient journeys, and support research while prioritizing data privacy and compliance.
Documentation, prior authorizations, billing inquiries, and appointment scheduling leave healthcare teams with less time for patient care.
EHRs, lab systems, and billing platforms operate in silos, making it difficult to access a complete view of patient and operational information.
Manual handoffs, slow triage, and missed follow-ups can disrupt patient journeys and delay timely interventions.
Without timely insights, overdue screenings, lapsed prescriptions, and patients requiring follow-up may go unnoticed.
Missing information, billing errors, and preventable claim denials create additional work for revenue cycle teams.
Concerns around data privacy, regulatory compliance, auditability, and human oversight can delay the adoption of AI solutions.
Analyze clinical history, lab results, treatment adherence, and real-time vital signs to identify patients at risk of readmission or adverse outcomes. These agents can help care teams recognize emerging risks earlier and support proactive, data-driven care decisions.
Monitor adverse event signals across clinical trials, post-market data, and patient communities. These agents support automated signal detection, case triage, classification, and reporting, helping healthcare and life sciences teams improve monitoring efficiency while maintaining regulatory traceability.
Give clinical and operational teams a simpler way to access healthcare insights through natural-language queries. MedInsight for Clinical Reporting helps users retrieve governed insights from unified healthcare data without writing SQL, with capabilities such as automated report narratives and real-time alert intelligence.
Help healthcare teams process clinical records, extract relevant information, and organize documentation across workflows. Custom-built agents can reduce repetitive manual work, improve access to essential patient information, and give clinical staff more time to focus on patient care, with appropriate human review.
Help care teams identify missed follow-ups, overdue screenings, and potential treatment adherence issues. By highlighting patients who may need attention, these agents can support timely outreach, more coordinated care, and better visibility into gaps across the patient journey.
Automate repetitive administrative tasks and coordinate workflows across connected healthcare systems. Custom-built agents can help streamline processes such as information routing, task prioritization, and follow-up coordination, while incorporating data governance, access controls, and human oversight where required.
Not sure where agents will deliver value first? Most healthcare organizations have one workflow where admin drag costs the most. In a free consultation, we'll identify yours, check it against your data and compliance setup, and outline what a HIPAA-ready agent would look like in production.
We sit with clinical, operations, and revenue cycle teams to find where admin work costs the most, then rank use cases by impact and risk.
We map PHI flows, EHR and claims sources, and BAA coverage, and close governance gaps before any agent touches patient data.
We define tools, permissions, guardrails, and human approval points, and review the design with your compliance and clinical leads.
We test agents against real, de-identified historical cases and measure accuracy against your staff’s decisions before go-live.
We launch with one team or site, monitor closely, and expand only when results hold.
Ongoing tracking of accuracy, drift, cost, and audit logs, with updates as payer rules and regulations change.
We at Decision Foundry understand how crucial protecting patient privacy and sensitive healthcare data is. Therefore, we prioritize data security, confidentiality, and governance, with practices designed to support applicable requirements under HIPAA, GDPR, and CCPA. Our SOC 2 Type II compliance and security-focused expertise reinforce our commitment to safeguarding data through appropriate access controls, encryption, and auditability, helping healthcare organizations adopt AI with greater confidence.
Explore Decision Foundry's AI portfolio to learn more about our AI solutions, capabilities, and approach to intelligent automation.
Compliance frameworks
| Segment | Where Agents Make the Biggest Difference |
|---|---|
| Hospitals & Health Systems | Prior authorization support, discharge summaries, readmission risk identification, and patient flow optimization. |
| Physician Groups & Ambulatory Care | Inbox triage, referral management, and care gap identification and follow-up. |
| Health Plans & Payers | Utilization review support, member outreach, and claims anomaly detection. |
| Digital Health & Virtual Care | Member engagement, app analytics, and automated follow-up journeys. |
| Life Sciences | Patient journey insights and healthcare professional (HCP) engagement intelligence. |
Agentic AI works alongside your existing healthcare systems rather than replacing them. It connects with EHRs, clinical applications, patient platforms, data warehouses, and analytics tools to access relevant information and support defined workflows.
EHRs, claims platforms, patient portals, and clinical applications
APIs, data pipelines, and integration tools that make relevant information accessible
Agents that analyze data, identify patterns, and coordinate defined tasks
AI-supported reporting, follow-ups, case reviews, and operational workflows
Access controls, audit trails, and human review for sensitive actions
The result is an AI layer that works with your existing technology, helping healthcare teams connect data, streamline workflows, and make better-informed decisions.
We've spent over two decades helping organizations manage, integrate, and analyze complex data. We bring that experience to healthcare AI, helping teams turn data into practical solutions.
We understand the complexities of clinical, operational, and claims data. This helps us build AI solutions that account for healthcare data requirements and real-world workflows.
We design AI agents to analyze information, surface insights, and recommend actions while keeping healthcare professionals involved in critical decisions and approvals.
From data engineering and Salesforce Health Cloud to analytics platforms, we help connect the systems healthcare organizations rely on to support better data access and more connected workflows.
We go beyond proof of concept to address data readiness, system integration, and deployment. Our approach helps organizations put AI solutions to work in real operational environments.
We assess your existing systems, data, and business goals to identify the technologies and AI solutions that best fit your organization. You get a practical approach aligned with your needs, not a one-size-fits-all solution.
Tell us where your teams face bottlenecks, from clinical documentation and patient monitoring to reporting and care coordination. We'll help identify where agentic AI could make a difference, how it can fit into your existing systems, and what it takes to implement a secure, governed solution aligned with your operational needs.
Talk to an AI ExpertKeep Exploring
Agentic AI can help healthcare teams analyze patient information, identify care gaps, coordinate follow-ups, and streamline clinical documentation. By reducing repetitive administrative tasks and improving access to relevant information, AI can help clinicians focus more time on patient care and timely interventions.
Agentic AI can analyze clinical history, lab results, treatment adherence, and other available patient data to identify potential readmission risks. These insights help care teams prioritize patients for further assessment and plan timely interventions based on clinical judgment and validated risk models.
Agentic AI can help review clinical trial data, process safety reports, identify potential adverse event signals, and organize cases for further investigation. It can also support classification and reporting workflows, helping pharmacovigilance teams manage safety information more efficiently while maintaining appropriate human review.
Yes. Agentic AI solutions can connect with electronic health records and other healthcare platforms through available APIs and standards such as HL7 and FHIR. Integration depends on system compatibility, data access, and security requirements, helping AI fit existing clinical workflows.
Healthcare AI solutions can incorporate safeguards such as encryption, role-based access controls, data minimization, and audit logging to protect sensitive patient information. Implementations should also account for applicable requirements under HIPAA and other relevant privacy regulations, depending on the organization's operations and location.
Implementation timelines depend on the use case, data readiness, system integrations, and validation requirements. A focused pilot with accessible data may take weeks to a few months, while larger deployments involving multiple systems, clinical workflows, and governance reviews can require considerably more time.
