Almanac Copilot: Towards Autonomous Electronic Health Record Navigation
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Abstract (arXiv)
Clinicians spend large amounts of time on clinical documentation, and inefficiencies impact quality of care and increase clinician burnout. Despite the promise of electronic medical records (EMR), the transition from paper-based records has been negatively associated with clinician wellness, in part due to poor user experience, increased burden of documentation, and alert fatigue. In this study, we present Almanac Copilot, an autonomous agent capable of assisting clinicians with EMR-specific tasks such as information retrieval and order placement. On EHR-QA, a synthetic evaluation dataset of 300 common EHR queries based on real patient data, Almanac Copilot obtains a successful task completion rate of 74% (n = 221 tasks) with a mean score of 2.45 over 3 (95% CI:2.34-2.56). By automating routine tasks and streamlining the documentation process, our findings highlight the significant potential of autonomous agents to mitigate the cognitive load imposed on clinicians by current EMR systems.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 28 of its 58 references that are in the map. First posted on arXiv 30 Apr 2024.
Builds on
28 of 58 references.
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16 more
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Built on by
Citing papers per year: 2024: 2; 2025: 5; 2026: 2.
9 papers.
- 2025MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilotcited by 83
- 2024Medchain: Bridging the Gap Between LLM Agents and Clinical Practice with Interactive Sequencecited by 15
- 2026Evolving Medical Imaging Agents via Experience-driven Self-skill Discoverycited by 10
- 2025A Smart Multimodal Healthcare Copilot with Powerful LLM Reasoningcited by 3
- 2024Generative AI in Medicinecited by 1
- 2025EEG-MedRAG: Enhancing EEG-based Clinical Decision-Making via Hierarchical Hypergraph Retrieval-Augmented Generationcited by 1
- 2026Empowering Locally Deployable Medical Agent via State Enhanced Logical Skills for FHIR-based Clinical Taskscited by 1
- 2025RPRO: Ranked Preference Reinforcement Optimization for Enhancing Medical QA and Diagnostic Reasoningcited by 0
- 2025Evaluating Medical LLMs by Levels of Autonomy: A Survey Moving from Benchmarks to Applicationscited by 0
- 2026Empowering Locally Deployable Medical Agent via State Enhanced Logical Skills for FHIR-based Clinical Tasks6 Mar 2026
- 2026Evolving Medical Imaging Agents via Experience-driven Self-skill Discovery6 Mar 2026
- 2025Evaluating Medical LLMs by Levels of Autonomy: A Survey Moving from Benchmarks to Applications20 Oct 2025
- 2025RPRO: Ranked Preference Reinforcement Optimization for Enhancing Medical QA and Diagnostic Reasoning31 Aug 2025
- 2025EEG-MedRAG: Enhancing EEG-based Clinical Decision-Making via Hierarchical Hypergraph Retrieval-Augmented Generation19 Aug 2025
- 2025A Smart Multimodal Healthcare Copilot with Powerful LLM Reasoning3 Jun 2025
- 2025MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot6 Feb 2025
- 2024Generative AI in Medicine13 Dec 2024
- 2024Medchain: Bridging the Gap Between LLM Agents and Clinical Practice with Interactive Sequence2 Dec 2024