AI Health Index: Clinical Reference & Evidence changes https://aihealthindex.io/categories/clinical-reference-and-evidence Material product changes at Clinical Reference & Evidence vendors, tracked by AI Health Index. Every entry is dated and cited to a public source. en-us Free to reuse with a visible link to aihealthindex.io. Terms: https://aihealthindex.io/use-this-data Tue, 22 Sep 2026 12:00:00 GMT 720 https://aihealthindex.io/icon-192.png AI Health Index: Clinical Reference & Evidence changes https://aihealthindex.io/categories/clinical-reference-and-evidence Doximity Ask: Doximity published Bedside Bench, an open source clinical AI benchmark of 500 cases across 10 sub benchmarks, including drug safety… https://aihealthindex.io/changelog/doximity-ask aihealthindex.io:change:6ab90c10ee3c2977980e653c Tue, 22 Sep 2026 12:00:00 GMT Clinical evidence Clinical Reference & Evidence Healthcare Administrative Automation Clinical Decision Support Doximity published Bedside Bench, an open source clinical AI benchmark of 500 cases across 10 sub benchmarks, including drug safety, guideline adherence, landmark trials, hallucination and false premises, health equity and diagnostic safety. The 250 case training split and the grading rubrics are public on Hugging Face, and the test split is held out. Bedside Bench is one of the domain benchmarks in Fireworks' Specialized Intelligence Index, and Doximity states that Doximity Ask ranked first against frontier models when Fireworks graded it.

Why it matters: Buyers get a public rubric they can run against Doximity Ask and competing clinical reference tools. The ranking is stated without published scores and the benchmark was written by Doximity, so ask for the per benchmark numbers before relying on it.

Impact: Medium. Verification: Verified. Type: Clinical evidence.

Evidence: Vendor announcement

Source: AI Health Index change log. Free to reuse with a link back. Terms.

]]> Atropos Health states it expanded its federated Atropos Evidence Network to cover over 330 million U.S. patients, including more than 150… https://aihealthindex.io/changelog/atropos-health aihealthindex.io:change:6ab90c10ee3c2977980e653a Tue, 22 Sep 2026 12:00:00 GMT Product / capability Clinical Reference & Evidence Clinical Trials AI Clinical Decision Support Atropos Health states it expanded its federated Atropos Evidence Network to cover over 330 million U.S. patients, including more than 150 million EHR records with clinical notes, and added imaging and omics data linked to clinical outcomes and mortality through data partners including Norstella, Arcadia and OneMedNet. The network is queried through ChatRWD, Green Button and GENEVA OS, with the Real World Fitness Score grading data quality per question. The company claims temporal queries run up to 50 times faster and 30 times cheaper than traditional analytics; no method for that comparison is published.

Why it matters: Health systems and life sciences teams generating real world evidence can now study questions that need imaging or genomic context alongside EHR and claims data. The speed and cost figures are vendor claims without a stated baseline, so ask for the comparison behind them.

Impact: Medium. Verification: Verified. Type: Product / capability.

Evidence: Vendor announcement

Source: AI Health Index change log. Free to reuse with a link back. Terms.

]]> FDB (First Databank): FDB commercially deployed FDB Script Agent, an AI prescribing tool that converts ambient patient encounter dialogue directly into… https://aihealthindex.io/changelog/first-databank aihealthindex.io:change:6a92e5ef75bbcbbe469c6fe8 Mon, 24 Aug 2026 12:00:00 GMT Product / capability Medication Safety & Prescribing Clinical Reference & Evidence Clinical Decision Support FDB commercially deployed FDB Script Agent, an AI prescribing tool that converts ambient patient encounter dialogue directly into structured prescriptions. The agent applies FDB's drug terminology codification and clinical validation to what it hears, so the output is a coded medication order rather than free text, and it queues that order for clinician review rather than transmitting it. It launched first on the Tebra platform. This moves ambient listening past documentation and into order entry, which is a materially different risk surface.

Why it matters: Practices can cut the manual keystrokes of prescription entry, which is one of the slowest steps left in an otherwise automated encounter. The important detail for evaluators is that FDB owns the drug knowledge base underneath the codification, so the structured output inherits an established terminology layer rather than a model's guess at a drug name and dose. Anyone assessing this should focus on the review step: what the clinician sees before signing, and what happens when the agent mishears a dose or a route.

Impact: High. Verification: Verified. Type: Product / capability.

Evidence: Vendor announcement

Source: AI Health Index change log. Free to reuse with a link back. Terms.

]]> OpenEvidence launched Patient Take-Homes, a new feature allowing clinicians to optionally turn AI-generated answers into educational… https://aihealthindex.io/changelog/openevidence aihealthindex.io:change:6a89d007fbe75a71b1da7272 Thu, 20 Aug 2026 12:00:00 GMT Product / capability Clinical Reference & Evidence Clinical Decision Support OpenEvidence launched Patient Take-Homes, a new feature allowing clinicians to optionally turn AI-generated answers into educational materials for their patients. The feature enables doctors to share specific, curated clinical evidence directly with patients at their discretion.

Why it matters: This capability extends the platform's utility beyond clinician-facing decision support into patient engagement and education. Buyers can leverage this to improve patient health literacy and streamline the creation of evidence-based post-visit summaries.

Impact: Medium. Verification: Verified. Type: Product / capability.

Evidence: Vendor announcement

Source: AI Health Index change log. Free to reuse with a link back. Terms.

]]> A systematic review published in npj Digital Medicine evaluated 11 studies assessing OpenEvidence's clinical question-answering… https://aihealthindex.io/changelog/openevidence aihealthindex.io:change:6a808db25e3cc8842da0dc36 Wed, 12 Aug 2026 12:00:00 GMT Clinical evidence Clinical Reference & Evidence Clinical Decision Support A systematic review published in npj Digital Medicine evaluated 11 studies assessing OpenEvidence's clinical question-answering capabilities. The researchers found that the platform consistently generated evidence-supported responses without fabricating citations, showing peak performance in structured, guideline-based settings. However, the study noted that accuracy varied in complex scenarios and that the system tended to reinforce rather than alter existing clinical decisions.

Why it matters: This peer-reviewed analysis provides buyers with independent validation of the platform's clinical safety and operational strengths. The findings suggest the tool is highly reliable for guideline-based queries but highlight the need for human oversight in complex cases where it may simply affirm prior clinical judgments.

Impact: Medium. Verification: Verified. Type: Clinical evidence.

Evidence: Peer-reviewed publication

Source: AI Health Index change log. Free to reuse with a link back. Terms.

]]> Wolters Kluwer expanded its generative AI solution, UpToDate Expert AI, by integrating comprehensive medication data from UpToDate Lexidrug. https://aihealthindex.io/changelog/uptodate aihealthindex.io:change:6a7739f386781bb15a7c68de Thu, 06 Aug 2026 12:00:00 GMT Product / capability Clinical Reference & Evidence Workforce & Training Wolters Kluwer expanded its generative AI solution, UpToDate Expert AI, by integrating comprehensive medication data from UpToDate Lexidrug. This enhancement allows the AI assistant to provide rigorously reviewed drug dosing and medication decision support directly within its conversational interface.

Why it matters: Healthcare organizations evaluating UpToDate Expert AI can now leverage the tool for complex medication-related queries, which historically account for nearly 30 percent of clinician questions on the platform. This integration streamlines workflows by reducing the need for clinicians to switch between separate drug reference databases and the main AI assistant.

Impact: Medium. Verification: Verified. Type: Product / capability.

Evidence: Vendor announcement

Source: AI Health Index change log. Free to reuse with a link back. Terms.

]]> OpenEvidence integrated Springer Nature's medical content into its platform, expanding the peer-reviewed literature available to ground… https://aihealthindex.io/changelog/openevidence aihealthindex.io:change:6a7739f386781bb15a7c68d8 Wed, 05 Aug 2026 12:00:00 GMT Product / capability Clinical Reference & Evidence Clinical Decision Support OpenEvidence integrated Springer Nature's medical content into its platform, expanding the peer-reviewed literature available to ground its AI responses.

Why it matters: Clinicians using OpenEvidence will now receive answers synthesized from and cited to Springer Nature's extensive portfolio of medical journals and textbooks, improving the comprehensiveness of the platform's evidence base.

Impact: Medium. Verification: Verified. Type: Product / capability.

Evidence: Vendor announcement

Source: AI Health Index change log. Free to reuse with a link back. Terms.

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