Glass Health vs ClinicalKey: Clinical Decision Support Compared

ClinicalKey, owned by Elsevier, is one of the deepest medical reference libraries in clinical practice. ClinicalKey AI adds a conversational AI layer on top of that Elsevier content. Glass Health is a different kind of product entirely: an ambient clinical workflow platform that combines scribing, real-time ambient insights, structured differential diagnosis, assessment-and-plan generation, and evidence-backed clinical Q&A in the encounter itself. The main distinction is workflow: ClinicalKey is a search-and-reference product; Glass is built to collaborate with the physician throughout the encounter.

ClinicalKey has earned its position in academic medical centers and large health systems because Elsevier’s content library is genuinely massive. When you search ClinicalKey for the management of refractory status epilepticus or the pharmacokinetics of direct oral anticoagulants in renal impairment, you are drawing on decades of textbook authorship, journal publication, and editorial curation. ClinicalKey AI makes that content more accessible through natural language queries and AI-generated summaries with citation traceability. That matters. ClinicalKey competes most directly with UpToDate and AMBOSS in the medical reference space — those platforms are closer category peers than Glass Health.

But ClinicalKey — even ClinicalKey AI — is still fundamentally a question-and-answer layer on top of a reference library. You stop what you are doing, open a browser or app, type a question, read the response, and return to the EHR. Glass Health takes the opposite approach: it listens to patient encounters in real time, pulls in chart context in supported workflows, incorporates uploaded records and documents, generates ambient insights as the encounter evolves, and then carries that same reasoning into the differential, plan, and note. You do not leave your workflow to get clinical decision support. The decision support comes to you, embedded in the encounter itself.

These are two legitimate approaches to helping physicians make better clinical decisions. This page lays out what each platform does, where each excels, and which fits your practice.

At a Glance: Glass Health vs ClinicalKey

Feature	Glass Health	ClinicalKey / ClinicalKey AI
Primary function	Ambient AI scribe + clinical decision support platform	Medical reference library with AI-powered search
Content source	PubMed-indexed literature, current clinical guidelines, and FDA drug information via clinical Q&A	Elsevier proprietary library of clinical overviews, books, journals, drug monographs, procedure content, and patient education
CDS delivery model	Ambient — activates during the encounter automatically	Search-based — clinician must query the system
Ambient scribing	Yes — real-time encounter listening with live clinical insights	No
Differential diagnosis	Structured three-tier DDx (Most Likely / Expanded / Can’t Miss) generated from encounter data	No structured DDx generation
Assessment & plan generation	Yes — problem-based A&P with evidence citations	No
Clinical Q&A	Built-in clinical Q&A across PubMed-indexed literature, guidelines, and FDA drug information, contextual to the encounter	ClinicalKey AI: conversational search grounded in Elsevier content
Documentation generation	6 types: H&P, Progress Note, Clinic Note, Discharge Summary, Discharge Instructions, Patient Handout	No documentation generation
EHR integration	Epic, eClinicalWorks, and Athena clinical workflows on Max	Connection Hub and other select institutional integrations
Drug information	FDA drug database via clinical Q&A	Large Elsevier drug monograph library
Procedure content	No dedicated procedure library	Procedures Consult: video-based surgical and procedural reference
Patient education	Patient handout generation from encounter data	Large patient education library
CME/MOC	No	CME/MOC available through ClinicalKey AI workflows
Pricing model	Free (Lite); Starter $20/mo; Pro $90/mo; Max $200/mo (individual)	Institutional licensing plus individual ClinicalKey AI subscriptions with a 14-day trial
Target user	Practicing physicians across specialties	Health systems, academic medical centers, individual clinicians
Mobile app	Yes	Yes (ClinicalKey AI)

What ClinicalKey Offers

ClinicalKey is Elsevier’s flagship clinical decision support platform, and understanding what it does well requires understanding Elsevier’s position in medical publishing. When ClinicalKey gives you access to major textbooks, journals, clinical overviews, and procedure resources, it is drawing from the same publishing ecosystem that has long been embedded in academic medicine. This is not just a quick-summary database. It is a large reference library made searchable and cross-referenced.

The Content Library

ClinicalKey’s traditional (non-AI) platform provides access to multiple content types that span the full breadth of clinical reference needs:

Clinical Overviews: Point-of-care summaries structured around diagnosis, treatment, and follow-up
Full-Text Books: Major medical textbooks across specialties
Journals: Journal content from Elsevier and partner publications
Drug Monographs: Detailed drug information covering dosing, interactions, contraindications, and pharmacokinetics
Procedures Consult: Video-based procedural reference for surgical and bedside procedures
Patient Education: A large library of patient-facing education handouts
Clinical Guidelines: Society guidelines from the ACC, AACE, ACEP, CHEST, ESMO, and other major organizations
Images and Multimedia: Millions of medical images, illustrations, and video clips indexed and searchable
Clinical Calculators: Embedded calculators for common scoring systems and risk stratification tools

This breadth is genuinely difficult to match. If you need to look up the operative technique for a specific orthopedic procedure, review the complete pharmacology of a drug class, or pull a patient education handout in Spanish for discharge, ClinicalKey has that content available in a single platform. That consolidation matters for health systems that want to reduce the number of separate subscriptions their physicians need.

ClinicalKey AI

In 2024, Elsevier launched ClinicalKey AI, adding a generative AI interface on top of its proprietary content library (Elsevier, 2024). Instead of navigating a search interface, reading through clinical overviews, and synthesizing information manually, clinicians can ask a clinical question in natural language and receive an AI-generated summary with citations that link back into Elsevier source material.

Elsevier describes ClinicalKey AI as an EHR- and API-enabled clinical decision support tool with expanded full-text content and additional transparency features. The core point for buyers is simpler: it is a conversational layer on top of Elsevier content, not an encounter-native ambient workflow.

In 2025, Elsevier expanded ClinicalKey AI with Connection Hub availability, an iPrescribe integration through DrFirst, mobile access, and expanded clinician workflows (Elsevier, 2025).

Institutional Deployment

ClinicalKey’s traditional strength is institutional licensing. Health systems and academic medical centers purchase ClinicalKey as part of their medical library infrastructure, making it available to all affiliated clinicians. This model works well for large organizations that want standardized access to clinical references across departments. The platform has been deployed across major U.S. health systems and academic centers for over a decade, and it carries the credibility that comes with Elsevier’s brand in medical publishing.

More recently, Elsevier has expanded access with individual ClinicalKey AI subscriptions for physicians and residents, with a 14-day free trial and direct purchase access outside institutional contracts.

What Glass Health Offers

Glass Health is a clinical workflow platform that combines ambient AI scribing with clinical decision support in a single interface. It pairs real-time encounter capture with chart-aware context, uploaded-document review, structured diagnostic reasoning, evidence synthesis, and assessment planning. Understanding what Glass does requires understanding how these capabilities work together during an actual patient encounter.

Ambient AI Scribing with Live Clinical Insights

When a physician begins a patient encounter with Glass Health active, the platform listens to the conversation in real time. In supported workflows, it can also incorporate EHR context, and physicians can upload outside records, labs, and other documents before or during the encounter. As the encounter progresses, Glass identifies the chief complaint, extracts relevant history elements, and begins generating ambient insights — not after the encounter, during it. The physician sees a live encounter timeline with the conversation organized chronologically, and the system surfaces suggested differentials, follow-up questions, and likely next steps while the visit is still happening.

This is not a passive transcription tool. The ambient layer feeds directly into the clinical decision support engine. By the time the encounter ends, Glass has already identified clinical problems, organized them by significance, and begun assembling the reasoning needed for differential diagnosis and assessment planning.

Three-Tier Differential Diagnosis

Glass Health generates a structured differential diagnosis from the encounter data organized into three tiers:

Most Likely: Diagnoses with the highest probability given the presenting symptoms, history, and risk factors captured during the encounter
Expanded: A broader set of plausible diagnoses that warrant consideration even if less probable
Can’t Miss: High-acuity diagnoses that carry significant morbidity or mortality if missed — the diagnoses that keep experienced clinicians honest

Each diagnosis includes supporting reasoning tied to the specific patient encounter. This is not a generic list of differentials for “chest pain.” It is a patient-specific differential generated from what the patient actually said, what their history includes, and what the physician observed. The clinical specificity matters: the DDx for a 28-year-old woman presenting with acute-onset pleuritic chest pain who is six weeks postpartum should look fundamentally different from the DDx for a 68-year-old man with exertional substernal pressure and a history of diabetes and hypertension. Glass generates that distinction automatically because it has the encounter context.

Assessment and Plan Generation

Glass generates evidence-based assessment and plans organized by clinical problem. Each problem includes a clinical assessment grounded in the encounter data and a recommended management plan with citations to clinical guidelines and medical literature. The A&P is not a template filled with generic recommendations — it is synthesized from the specific clinical scenario captured during the encounter.

A physician managing a patient with newly diagnosed atrial fibrillation gets an A&P that can organize the rhythm problem, surface the stroke-prevention question, outline the need to weigh bleeding risk and renal function, and document the follow-up planning. The citations link to the relevant guideline and literature domains supporting each management decision.

Clinical Q&A

Glass includes built-in clinical Q&A that searches PubMed-indexed literature, current clinical guidelines, and FDA drug information. Unlike a standard chatbot, Glass’s clinical Q&A is contextual to the patient encounter. You can ask follow-up questions about the patient you just saw – for example, what follow-up interval is recommended for this patient’s thyroid nodule – and the system answers with the patient’s specific data already in context.

Individual and Team Access

Glass Health is available immediately to individual physicians. The free Lite tier is limited: it includes limited ambient scribing and limited clinical decision support. Starter ($20/month) adds expanded capacity. Pro ($90/month) adds advanced features including Deep Reasoning mode for complex multi-system cases and extended encounter management. Max ($200/month) supports Epic, eClinicalWorks, and Athena clinical workflows once the supported EHR workflow is enabled, plus team collaboration capabilities and priority support. There is no institutional procurement process required.

The Search-Based vs Ambient CDS Paradigm

The deepest difference between ClinicalKey and Glass Health is not their content or their AI capabilities. It is when and how clinical decision support reaches the physician. This distinction — search-based CDS versus ambient CDS — has significant implications for adoption, clinical impact, and daily workflow.

How ClinicalKey CDS Works in Practice

Consider a primary care physician managing a 15-minute follow-up visit with a patient who has diabetes, bilateral lower extremity edema, an abnormal thyroid study from the prior month, and several active medications. The physician wants to sort through the plausible contributors to the edema, determine what needs immediate workup, and decide what follow-up belongs in today’s plan.

To use ClinicalKey for decision support in this encounter, the physician would:

Open a browser or the ClinicalKey app (context switch from the EHR)
Search for medication-related edema – read the relevant drug monograph and review common management options
Search for whether the abnormal thyroid study is clinically relevant to the edema and follow-up plan
Search for how diabetes, renal function, and possible heart-failure physiology change the workup and treatment priorities
Return to the EHR and incorporate findings into the note and plan

Each search cycle adds friction because the physician still has to leave the encounter workflow, ask the question, review the answer, and translate it back into the chart.

With ClinicalKey AI, the process is faster — conversational queries replace manual navigation — but the fundamental workflow is the same. The physician still leaves the encounter workflow, asks questions in a separate interface, and manually integrates the answers.

How Glass Ambient CDS Works in Practice

With Glass Health, that same physician walks into the encounter with the platform listening. As the patient describes the bilateral leg swelling and the physician reviews the medication list, Glass identifies the clinical scenario in real time. By the time the encounter concludes, Glass has:

Generated a differential for the edema that keeps medication effects, cardiac causes, renal causes, venous disease, and other relevant contributors in view
Flagged the abnormal thyroid result as something that may matter clinically, depending on the broader presentation and follow-up context
Drafted an A&P that organizes the edema workup, the diabetes/renal/cardiac follow-up questions, and the immediate plan for review
Produced a complete clinical note ready for review and sign-off

The physician did not search for anything. The CDS arrived because the encounter data triggered it. Zero context switches. Zero additional time.

What the Research Shows About CDS Adoption

This is not a theoretical distinction. Research on clinical decision support adoption consistently shows that embedded, workflow-integrated CDS gets used more reliably than tools that require clinicians to leave their primary workflow, log into a separate application, or manually formulate a new query (Wright et al., 2019).

A systematic review in npj Digital Medicine reinforced the same direction of effect: CDS systems that are integrated into the electronic health record and activated automatically at the point of clinical decision-making are more likely to be used than those requiring active clinician initiation (Sutton et al., 2020).

The implication is straightforward. A reference tool that requires a context switch will usually have less clinical impact than a tool that activates inside the workflow itself. ClinicalKey’s content is deeper. But the content only matters when it reaches the clinician at the moment of decision-making.

Content Depth vs Workflow Integration

ClinicalKey wins on content library breadth. This is not a close call. Elsevier has spent decades acquiring, publishing, and curating medical content. When a physician needs to review the complete differential diagnosis for eosinophilic esophagitis, read the full chapter on biliary atresia in a pediatric surgery textbook, watch a video of a radial artery catheterization technique, or pull a patient education handout on warfarin management in three languages, ClinicalKey can deliver all of those from a single platform. Glass Health does not have a proprietary medical textbook library, a procedures video database, or a patient education handout archive at that scale.

Glass Health wins on clinical workflow integration. Glass does not ask you to go somewhere else to get decision support — it builds decision support into the thing you are already doing: seeing patients and documenting encounters. The differential diagnosis, the assessment and plan, the clinical documentation, and the ambient insights are generated from encounter data without any additional physician effort. The CDS is not a separate step. It is a byproduct of the encounter itself.

Which matters more depends on your clinical situation:

If you are an academic hospitalist managing a complex multi-system case and need to read the full Harrison’s chapter on autoimmune hepatitis, ClinicalKey’s depth is what you need. That is a deep-reference use case where content breadth matters and you have time to read.
If you are a primary care physician running a full clinic and you need decision support that does not add time to your day, Glass Health’s ambient CDS is what you need. You need the decision support to arrive passively while you are already doing the clinical work.
If you are an emergency physician managing multiple patients simultaneously and need rapid diagnostic reasoning, Glass Health’s real-time DDx generation is immediately actionable without leaving the trauma bay to search a reference database.
If you are a resident preparing for a complex case and want to read the most authoritative published content on a specific surgical technique, ClinicalKey’s textbook and procedure video library serves that educational need directly.

The distinction is not better versus worse. It is content-depth-optimized versus workflow-optimized. These are different tools for different problems.

ClinicalKey AI vs Glass clinical Q&A

Both ClinicalKey AI and Glass Health’s clinical Q&A use generative AI to answer clinical questions in natural language. Both ground their responses in medical evidence rather than generating answers from unconstrained language model outputs. But there are meaningful structural differences in how they work and what they can do.

ClinicalKey AI: Elsevier Content as the Knowledge Base

ClinicalKey AI grounds every response in Elsevier’s proprietary content library. When you ask about the management of acute decompensated heart failure, the AI retrieves relevant sections from Elsevier textbooks, clinical overviews, drug monographs, and journal articles — then generates a synthesized response with citations that trace directly to those sources, validated in real time down to the paragraph level. The content is editorially curated, peer-reviewed, and updated on a daily refresh cycle.

This closed-corpus approach has a specific advantage: the provenance of every claim is traceable to a known, editorially vetted source. You can click through to the exact section of Braunwald’s Heart Disease that supports a specific recommendation. For physicians who want to verify AI-generated answers against primary textbook content they trust, this traceability is valuable.

The limitation is also structural. ClinicalKey AI answers from the Elsevier library, and only the Elsevier library. If the most relevant guideline for a clinical question was published by a society whose guidelines are not in the Elsevier corpus, or if the most recent evidence appears in a non-Elsevier journal, the AI may not surface it. Elsevier’s library is broad, but it is not the entirety of medical knowledge.

ClinicalKey AI is not positioned as an encounter-native chart-ingestion workflow. It is designed around asking clinical questions against Elsevier content, not around ambient listening, uploaded record review, or longitudinal patient-context workflows. If your use case depends on encounter-native patient data, Glass is the more direct fit.

Glass clinical Q&A: Literature Search with Encounter Context

Glass Health’s clinical Q&A searches PubMed-indexed literature, current clinical guidelines, and FDA drug information. The search is not limited to a single publisher’s content. Each response includes in-text citations with reference lists linking to the source material.

The critical distinction is encounter integration. Glass’s clinical Q&A operates in the context of the patient encounter. When a physician asks how current atrial-fibrillation guidance applies to the patient they just saw, the system already has the rhythm diagnosis, the risk factors captured during the visit, and the relevant comorbidities in context. The answer is not generic anticoagulation guidance – it is guidance contextualized to that patient.

This encounter-aware capability makes Glass’s clinical Q&A function differently than a standalone AI search tool. You are not providing background context in your query and hoping the AI interprets it correctly. The context is already there because Glass was listening to the encounter and can also incorporate uploaded records and supported chart context.

Practical Difference

If you want to ask, “What do current guidelines recommend for stable ischemic heart disease?” – both tools will give you a reasonable answer. ClinicalKey AI will ground it in Elsevier’s content with paragraph-level citation traceability. Glass will ground it in current guidelines and literature with source citations.

If you want to ask, “Given what this patient told me today, should I be worried about cardiac amyloidosis?” — Glass can answer that question with the encounter context, relevant uploaded records, and supported chart context already in view. ClinicalKey AI cannot, because it does not function as an encounter-native ambient workflow.

Pricing and Access Models

The pricing and access structures of ClinicalKey and Glass Health reflect fundamentally different go-to-market approaches.

ClinicalKey: Institutional First, Individual Expanding

ClinicalKey’s traditional model is institutional licensing. Health systems, hospitals, and academic medical centers negotiate contracts with Elsevier for system-wide access. Pricing for these institutional contracts is not publicly disclosed and is typically handled through institutional sales. For institutions that are already Elsevier customers for journal subscriptions or other products, ClinicalKey is often bundled or negotiated as part of a larger contract.

Individual physicians historically accessed ClinicalKey only through their institution’s subscription. More recently, Elsevier has introduced individual ClinicalKey AI subscriptions with a 14-day free trial (Elsevier Subscriptions). This expands access beyond institutional walls, though the individual subscription covers ClinicalKey AI specifically rather than every institutional ClinicalKey content package.

Elsevier’s clinician subscription and institutional packaging continue to evolve, so current pricing and included content should be verified directly with Elsevier before purchase.

Glass Health: Individual First, Teams Available

Glass Health is available to individual physicians immediately at glass.health/signup. The free Lite tier includes limited ambient scribing and limited clinical decision support, with paid tiers expanding capacity and workflow depth. There is no institutional procurement requirement or enterprise contract minimum. Max becomes self-serve once the physician or practice has enabled the supported EHR workflow.

Lite (free): Limited ambient scribing, limited CDS (DDx, A&P), and clinical Q&A
Starter ($20/month): Everything in Lite plus expanded capacity
Pro ($90/month): Advanced features including extended encounter management, Deep Reasoning mode, and custom templates
Max ($200/month): Full platform access supporting Epic, eClinicalWorks, and Athena clinical workflows once the EHR workflow is enabled, plus team features and priority support

For a physician who wants to start using AI-powered clinical decision support today, Glass Health requires only a signup to start on Lite, Starter, or Pro, with Max available as a self-serve upgrade after the supported EHR workflow is enabled. ClinicalKey AI requires either institutional access or an individual subscription at a higher annual price point. The friction-to-value gap is significant: Glass gives physicians an immediate low-friction entry point, while ClinicalKey’s free trial converts to a paid subscription after 14 days.

Who Should Choose ClinicalKey?

ClinicalKey is the right choice for physicians and organizations in specific situations where content depth and institutional scale take priority over workflow integration.

Academic medical centers and teaching hospitals that need comprehensive reference access across all specialties benefit from ClinicalKey’s breadth. When residents and attendings need access to full textbook chapters, procedure videos, drug monographs, and patient education materials from a single institutional subscription, ClinicalKey delivers that consolidation. The CME/MOC credit integration adds value for institutions focused on continuing education compliance.

Physicians who prioritize editorial provenance — who want to trace every clinical recommendation back to a specific paragraph in a specific edition of a specific textbook — will find ClinicalKey AI’s citation model more satisfying than tools that cite across a broader but less editorially controlled literature base. If you want to know that a recommendation about perioperative beta-blocker management comes from page 1847 of the current edition of Braunwald’s Heart Disease, ClinicalKey gives you that level of traceability.

Health systems already invested in Elsevier products (journal subscriptions, ScienceDirect, Scopus) may find ClinicalKey a natural extension of their existing licensing relationship. Bundled institutional pricing and centralized vendor management simplify procurement.

Physicians with procedural or surgical practices who value the Procedures Consult video library will find content in ClinicalKey that Glass Health does not offer. The ability to review a step-by-step video of a specific surgical approach before a case has direct clinical utility.

Organizations that need multilingual patient education materials at scale benefit from ClinicalKey’s large patient education library, which covers common conditions in multiple languages.

Who Should Choose Glass Health?

Glass Health is the right choice for physicians who need clinical decision support delivered inside the workflow — not as a separate lookup step.

Primary care physicians and outpatient specialists managing full patient panels benefit most from ambient CDS. When you are running 20-25 patients per day in 15-minute slots, you do not have time to search a reference database between encounters. Glass Health’s ambient approach delivers differential diagnosis, assessment-and-plan generation, and complete documentation without requiring any additional lookup step. The CDS is a natural output of the encounter itself.

Physicians experiencing documentation burden and burnout gain dual value from Glass Health. The ambient scribing eliminates manual note-writing. The CDS layer ensures clinical reasoning is captured and evidence-based. The documentation and the decision support are the same workflow — not two separate tasks.

Emergency physicians managing multiple simultaneous patients benefit from Glass Health’s real-time DDx generation. When you are working up an undifferentiated patient in a busy emergency department, having a structured three-tier differential appear as the encounter progresses — including the “can’t miss” diagnoses — provides a cognitive safety net without requiring a separate search step.

Solo practitioners and small group practices that do not want institutional procurement friction benefit from Glass Health’s individual pricing model. The free Lite tier provides a low-friction way to evaluate the workflow immediately. Starter and Pro expand capacity, and Max adds supported clinical workflows once the EHR workflow is enabled, without requiring an institutional reference-platform contract.

Physicians who want patient-specific CDS rather than generic reference answers need Glass Health’s encounter-aware architecture. The ability to ask follow-up questions about a specific patient — with the encounter context already loaded — is not something ClinicalKey AI or any search-based reference tool can replicate.

Can You Use Both?

Yes. ClinicalKey and Glass Health are not only compatible — they are complementary. They solve different problems in the clinical workflow, and using both creates coverage across both deep-reference and ambient-workflow use cases.

A practical combined workflow: use Glass Health as the primary clinical tool during patient encounters. The ambient scribe captures the encounter, generates the DDx and A&P, and produces the documentation. When a clinical question requires deeper reference content — reviewing a full textbook chapter on a rare condition, watching a procedure video before an unfamiliar case, pulling a patient education handout in a specific language — ClinicalKey serves as the reference library for that deeper dive.

This is analogous to the difference between a clinical decision support system and a medical textbook. You use the CDS system during every encounter because it is embedded in the workflow. You use the textbook when you need to go deep on a specific topic. Glass Health is the CDS system. ClinicalKey is the textbook. Most physicians need both capabilities, and these platforms do not overlap enough to make one redundant with the other.

If your institution already provides ClinicalKey access, adding Glass Health at the individual level (starting free) gives you ambient CDS and documentation that ClinicalKey does not offer — without changing your existing reference workflow. Browse the full set of clinical decision support tools compared to see how other platforms fit alongside Glass.

Frequently Asked Questions

Is ClinicalKey AI the same as ClinicalKey?

No. ClinicalKey is Elsevier’s traditional clinical reference platform that has existed for over a decade — providing searchable access to medical textbooks, journals, drug monographs, clinical overviews, procedure videos, and patient education materials through a standard search interface. ClinicalKey AI, launched in 2024, is a generative AI layer built on top of that content. ClinicalKey AI allows clinicians to ask clinical questions in natural language and receive AI-generated summaries with citations traced back to the underlying Elsevier content. Think of ClinicalKey as the library and ClinicalKey AI as a conversational librarian who knows the contents of every book. Institutional ClinicalKey subscriptions may or may not include ClinicalKey AI access depending on the contract, and Elsevier now offers individual ClinicalKey AI subscriptions separately.

Does ClinicalKey offer ambient scribing or clinical documentation?

No. ClinicalKey and ClinicalKey AI are clinical reference and search tools. They do not listen to patient encounters, generate clinical notes, or produce documentation. If you need ambient scribing alongside clinical decision support, Glass Health combines both capabilities in a single workflow.

How does ClinicalKey AI pricing work for individual physicians?

Elsevier offers individual ClinicalKey AI subscriptions with a 14-day free trial. The subscription includes conversational AI search grounded in Elsevier’s clinical content, citation traceability, and CME/MOC credit earning. This individual subscription covers ClinicalKey AI specifically, while broader institutional content access still depends on the relevant Elsevier package. Glass Health’s free Lite tier, by contrast, gives clinicians a limited but immediate entry point into ambient scribing and clinical decision support, with paid tiers expanding from there.

Can ClinicalKey AI work from patient-specific encounter context?

ClinicalKey AI is not positioned as an encounter-native chart-ingestion workflow. Its core design is asking clinical questions against Elsevier content, not ambient listening, uploaded record review, or longitudinal patient-context workflows. Glass Health is built for patient-specific context: the ambient scribe captures encounter data directly, and physicians can upload records, labs, and imaging for the system to incorporate into differential diagnosis and assessment planning.

How does ClinicalKey integrate with the EHR?

ClinicalKey has a longstanding relationship with Epic and is available through Connection Hub on Epic Showroom. The integration allows clinicians to access ClinicalKey and ClinicalKey AI from within the Epic interface through single sign-on, reducing the friction of switching between applications. ClinicalKey also integrates with iPrescribe by DrFirst for prescribing workflows. However, this is primarily a search-launch integration — it makes ClinicalKey accessible from within the EHR rather than exchanging patient data bidirectionally. Glass Health integrates with Epic, eClinicalWorks, and Athena clinical workflows on the Max plan, pulling patient context into the platform and pushing completed documentation back to the chart. The integration models serve different purposes: ClinicalKey’s makes reference content accessible; Glass Health’s makes documentation and CDS flow into the medical record.

Is ClinicalKey better than Glass Health for drug information?

ClinicalKey has a deeper and more comprehensive drug information library. This is one of the areas where Elsevier’s publishing depth shows clearly. Glass Health provides drug information through clinical Q&A via FDA drug information, integrated into the broader workflow alongside PubMed-indexed literature and current guidelines. If detailed Elsevier-style monographs are your primary need, ClinicalKey is stronger. If you need drug information folded into encounter-specific clinical reasoning, Glass Health’s encounter-aware architecture is the more workflow-native tool.

How does Glass Health’s DDx generation compare to searching ClinicalKey for a differential?

ClinicalKey does not generate a structured differential diagnosis. When you search ClinicalKey for “causes of bilateral lower extremity edema,” you will find relevant content in clinical overviews and textbook chapters — but you need to read, synthesize, and mentally construct the differential yourself. Glass Health generates a structured three-tier differential (Most Likely, Expanded, Can’t Miss) automatically from the encounter data, with each diagnosis linked to specific supporting evidence from the patient encounter. The difference is active generation versus passive reference. Glass builds the differential for you from what the patient actually presented. ClinicalKey provides the knowledge base for you to build it yourself.

Which platform is better for medical education and training?

ClinicalKey has stronger capabilities for structured medical education. The full textbook library, Procedures Consult videos, and the CME/MOC credit integration within ClinicalKey AI make it a valuable educational resource, particularly for residency programs and continuing education requirements. Medical students and residents benefit from the ability to read complete textbook chapters, review surgical techniques on video, and earn education credits through clinical interactions. Glass Health is built for clinical practice rather than medical education per se — its value in training comes from exposing residents to structured clinical reasoning (three-tier DDx, evidence-based A&P generation) during actual patient encounters rather than from a dedicated educational content library. For a full comparison of clinical decision support platforms including those focused on education, see our best clinical decision support overview.

The Bottom Line

ClinicalKey is a deep, credible medical reference platform backed by Elsevier’s unmatched publishing library. ClinicalKey AI makes that content more accessible through generative AI search. For institutions that need comprehensive reference access, editorial provenance, and broad content types — from textbooks to procedure videos to patient education handouts — ClinicalKey delivers.

Glass Health is a clinical workflow platform that embeds decision support and documentation into the encounter itself. For physicians who need CDS that does not require a context switch, documentation that writes itself, and diagnostic reasoning generated from actual patient data, Glass Health delivers.

The question is not which platform has better content or better AI. The question is whether you need a reference library you search or a clinical workflow platform that works alongside you. If the answer is the latter — or if you want to add ambient CDS on top of your existing reference tools — start with Glass Health for free.