{ "id": "AIBD-0273", "title": "ForeSight-HF, a GPT-5 mini decision-support tool, scores two nursing-home heart-failure cases; patients managed independently", "summary": "Mount Sinai authors describe ForeSight-HF (GPT-5 mini on ProviderLoop) recommending diuresis for a warm/wet and de-escalation for a cold/dry nursing-home patient; both were managed independently.", "date_observed": "2026-06-03", "date_basis": "source publication", "date_precision": "day", "benefit_status": null, "source_collection": null, "source_entry": null, "account": "Glajchen and colleagues describe ForeSight-HF in JACC: Case Reports, published online on June 3, 2026. The tool uses GPT-5 mini to produce heart-failure assessments and treatment suggestions from nursing-facility notes. The paper presents two illustrative cases and explicitly states that its outputs did not guide clinical care. Both patients were managed independently of the system for four months. In the second case, the clinicians’ actual diuretic and medication decisions differed from the AI recommendations. Weekly physician review is part of the proposed workflow, not evidence that the model directed these patients’ treatment. ProviderLoop supplied the platform, and senior author Jeffrey Bander disclosed that he founded and owned it. The patients’ clinical outcomes cannot be attributed to the AI.", "category": "general benefit", "unexpected": false, "purpose": "Generate heart-failure risk scores and management recommendations from nursing-facility documentation", "system": "ForeSight-HF (large-language-model clinical decision support on the ProviderLoop platform)", "model_version": "OpenAI GPT-5 mini (accessed late 2025)", "developer": "ProviderLoop (New York) with Mount Sinai clinicians", "deployer": "Skilled nursing facilities served through the ProviderLoop platform (location not stated)", "location": "New York, New York, USA (authors)", "domain": "Health; post-acute cardiology", "segment": "Heart-failure patients in skilled nursing facilities", "benefit_type": "Improved Task Accuracy", "taxonomy_note": "Recommendations that matched independent management are read as task performance; nothing changed for the patients.", "registry_ids": {}, "ratings": [ { "group": "personal", "depth": null, "reason": "Both patients were managed independently of the AI system; outcomes not attributable." }, { "group": "organizational", "depth": null, "reason": "No measured organizational effect; prospective validation is called for by the authors." }, { "group": "societal", "depth": null, "reason": "No attributable event." } ], "ai_role": { "status": "assessed", "statement": "The model generated illustrative recommendations for two selected cases. The authors expressly state that its outputs did not guide care. Case 2 describes differences between the recommendations and the treatment that clinicians actually provided. No prospective effect on treatment or health was tested." }, "evidence": [ { "kind": "case report", "citation": "Emma Glajchen et al., “AI-Driven Heart Failure Decision Support in Skilled Nursing Facilities,” JACC: Case Reports 31, no. 29 (2026): 108561, https://doi.org/10.1016/j.jaccas.2026.108561; online June 3, 2026, “Intended Use” and the two case descriptions.", "title": "AI-Driven Heart Failure Decision Support in Skilled Nursing Facilities", "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13420647/", "date": "2026-06-03", "written_by": "makers", "quote": "The patient remained at the SNF for the following 4 months, managed independently of the AI system." }, { "kind": "case report", "citation": "Glajchen et al., “AI-Driven Heart Failure Decision Support in Skilled Nursing Facilities,” “Funding Support and Author Disclosures.” Same paper as the preceding quotation.", "title": "AI-Driven Heart Failure Decision Support in Skilled Nursing Facilities", "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13420647/", "date": "2026-06-03", "written_by": "makers", "quote": "Dr Bander is the founder and holds an ownership interest in ProviderLoop, the platform on which ForeSight-HF was developed." } ], "replication": { "produced_by": [ "GPT-5 mini prompted with unstructured facility documentation", "A proposed workflow with physician review of the model output on ProviderLoop; the illustrated patients were managed independently of it" ], "must_hold": [ "Prospective validation showing recommendations change management and outcomes", "Independent evaluation outside the vendor's authorship" ], "echoes": [] }, "paired_incident": null, "headline": "ForeSight-HF scores two nursing-home heart-failure cases", "metric": null, "comparator": null, "later": { "status": "unknown", "date": null, "note": "The two illustrative cases were managed independently of the system for four months, and the cited source reports no later deployment data, trial or follow-up.", "quote": null, "url": null }, "value": null, "developer_country": null, "deployer_country": null, "unrated_because": null, "brief_notes": null, "brief": null, "revisions": [ { "date": "2026-10-20", "change": "Record drafted from the cited sources.", "source": null, "editor": "AIBD" }, { "date": "2026-10-21", "change": "Benefit type set to Improved Task Accuracy under Trustible's full taxonomy of 23 types; it was Improved Organizational Efficiency among the six first used.", "source": "https://trustible.ai/post/a-framework-for-measuring-the-benefits-of-ai/", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Prose pass: a rating reason, account, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.", "source": null, "editor": "AIBD" }, { "date": "2026-10-21", "change": "Notes about which sources could be read were reworded for readers; facts, figures and quotations unchanged.", "source": null, "editor": "AIBD" }, { "date": "2026-10-24", "change": "Read the complete original JATS article, including both case histories, table, references, and disclosures. Clarified that the system did not guide clinical care.", "source": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13420647/", "editor": "AIBD" } ], "confidence": "claimed", "shade": "low", "claim_status": "The makers' claim", "claim_basis": "Sources: the makers' case report. The cited evidence includes no independent source and no finding by a regulator or court.", "profile": { "case_id": "AIBD-0273", "catalog_version": "1.0.0", "source_fingerprint": "eecc9714603d66432e6341865070fee877e0caae9bbb217ed586c16f287acb1a", "collection_refs": [ { "collection_id": "aibd", "version": "snapshot-8bf7cfec9cb185aa" }, { "collection_id": "aibd", "version": "2026-10-25" } ], "source_ids": [ "AIBD-0273-source-0001", "AIBD-0273-source-0002" ], "families": { "strategic assessments": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "record_ids": [] }, "evaluations": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "record_ids": [] }, "monetary observations": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "record_ids": [] }, "institutional decisions": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "record_ids": [] } }, "fields": { "actors[]": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "developer": "ProviderLoop (New York) with Mount Sinai clinicians", "deployer": "Skilled nursing facilities served through the ProviderLoop platform (location not stated)" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "developer", "deployer" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "actors[].ownership_control": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "ai_contribution": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "ai_role": { "status": "assessed", "statement": "The model generated illustrative recommendations for two selected cases. 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