AI-enabled clinical decision support built for health systems
Clinical decision support where patient context meets trusted evidence
ClinicalKey AI connects relevant patient context with trusted scientific and clinical knowledge in EHR workflows.
Clinicians receive transparent, evidence-grounded responses with citations they can review, while clinical judgment stays with them.
No single piece makes the difference. The connection does.
Information is abundant. Clarity is hard to find at the point of care.
53% of clinicians short on time for good care cite rising patient complexity.¹
69% of clinicians are seeing more patients than two years ago.¹
Only about 1 in 3 clinicians who use AI regularly use clinical-specific tools that provide validated, sourced information.¹
57% perceive AI tools for clinical decision-making as a time saver. ¹
Beyond fast answers to clinically relevant insight
Clinical intelligence is the next evolution of clinical decision support,
bringing relevant patient context and trusted evidence together
in the workflow to support informed decisions.
The future of clinical decision support won't be defined by who generates answers fastest. It'll be defined by what helps clinicians move toward informed decisions and next steps of care.
A fast answer has limits when it doesn't reflect the patient's medications, comorbidities, notes, or recent labs. It has limits when it ignores how a cardiologist and an oncologist see the same chart differently. And it has limits when no one can see where it came from.
ClinicalKey AI starts with the patient, not an isolated question. It connects relevant information from across the patient record with trusted scientific and clinical knowledge. Then it delivers transparent, evidence-grounded clinical intelligence that is informed by relevant patient context and ready to review, all in one connected experience.
Trusted evidence. Patient context. Clinical intelligence unlocked.
One experience, five connected steps
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Every question begins with relevant details from across the longitudinal patient record, not a blank prompt box.
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In supported implementations, ClinicalKey AI can draw on relevant patient context across the available patient record, including notes, imaging, procedures, laboratory results, medications, orders, allergies, vital signs and inpatient and outpatient records, bringing it together in clinically meaningful views.
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ClinicalKey AI automatically links patient context with Elsevier’s scientific and clinical knowledge and trusted third-party sources.
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Insights arrive within supported EHR workflows, with citations and traceability built in.
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Clinicians move toward informed decisions and next steps with their expertise and judgment at the center.
Cited insight
Clinician’s assessment and plan
What sets ClinicalKey AI apart
Patient-first relevance
Many AI tools treat clinical questions in isolation or rely on patient details someone typed in by hand. ClinicalKey AI begins with available information across the longitudinal patient record, so responses can be informed by relevant patient context
EHR-agnostic workflow integration
ClinicalKey AI isn't tied to a single EHR environment. It brings relevant patient information and trusted evidence directly into the clinical workflow, reducing the need to navigate multiple systems to find and reconcile what clinicians need.
Traceable on both sides of every response
Each patient-context statement traces back to relevant chart data. Each response links directly to its supporting clinical source. Clinicians can review the supporting evidence, while healthcare organizations can assess the information provided.
Built on knowledge clinicians already trust
- Grounded in Elsevier's leading scientific and clinical knowledge, together with trusted third-party sources, updated daily
- Proactive evaluation studies apply a clinician-in-the-loop approach to assess metrics that are aligned with clinical safety and reliability, helping to ensure ClinicalKey AI meets the high standards required for clinical use
- 3x winner of the MedTech Breakthrough AI Innovation Award in 2024 -2026
"We're already seeing how ClinicalKey AI can be instrumental at the bedside and help improve care for our patients. As a rural healthcare center, we are proud to say that by using ClinicalKey AI to check each patient’s care against the same evidence base that major health systems rely on, we’re able to deliver the standard of care patients expect in any major city or leading academic center. ClinicalKey AI reads the whole chart, checks it against the evidence and shows exactly where each finding comes from. That support is invaluable for a hospital like ours, and we’re already seeing strong adoption of ClinicalKey AI among our clinicians."
Dr. Carlo Hallak
Chief Medical Information Officer
San Juan Regional Medical Center
Bring evidence and patient context together
Clinical decisions deserve more than a fast answer. They require relevant patient context and trusted evidence, delivered where clinicians already work. Let's explore what connected clinical intelligence could look like across your health system.
Trusted evidence. Patient context. Clinical intelligence unlocked.
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Footnotes
¹ Elsevier, Clinician of the Future 2026 (survey of 2,757 clinicians in 118 countries, Dec 2025–Feb 2026). The 53% is of clinicians who say they lack sufficient time; the one-third is of the 49% who use AI at work.
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