- Integrating human and artificial intelligence for robust postmarketing safety surveillance systems: reflections from the FDA Sentinel Innovation Center. [Journal Article]J Am Med Inform Assoc. 2026 Jul 14. [Online ahead of print]JAMIA
- CONCLUSIONS: In public health applications where stakes are high, use of Gen AI/ML needs to be carefully considered with appropriate guardrails ensuring human expert involvement.
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- PDA (Privacy-Preserving Distributed Algorithms) in action: ten principles for high-quality multi-site clinical evidence generation. [Journal Article]J Am Med Inform Assoc. 2026 Jul 13. [Online ahead of print]JAMIA
- CONCLUSIONS: The 10 principles for conducting a PDA study outline a principled, efficient, and transparent framework for employing distributed learning algorithms within DRNs to generate reliable and reproducible real-world evidence.
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- Reporting follow-up budgets for diagnostic and predictive AI. [Journal Article]J Am Med Inform Assoc. 2026 Jul 08. [Online ahead of print]JAMIA
- CONCLUSIONS: Clinical AI evaluation should make follow-up capacity visible alongside discrimination, calibration, and decision-analytic measures.
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- Digital divide in clinical and operational artificial intelligence adoption and implementation stages: US hospital diffusion patterns and AI deserts. [Journal Article]J Am Med Inform Assoc. 2026 Jul 01. [Online ahead of print]JAMIA
- CONCLUSIONS: US hospital AI diffusion is uneven and spatially structured. AI deserts mark regional gaps in access to AI-adopting hospitals.
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- Extending the fundamental theorem of biomedical informatics: a proposal and illustrative examples. [Journal Article]J Am Med Inform Assoc. 2026 Jul 01; 33(7):1243-1244.JAMIA
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- Human factors methods for designing safe health information technology: what do the experts think? [Journal Article]J Am Med Inform Assoc. 2026 Jun 29. [Online ahead of print]JAMIA
- CONCLUSIONS: Further work is required to integrate HF methods and approaches, especially those focused on safety, into the work of HIT designers.
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- Equity-by-design for socially assistive robots as digital health tools. [Journal Article]J Am Med Inform Assoc. 2026 Jun 27. [Online ahead of print]JAMIA
- CONCLUSIONS: Treating SARs as embodied informatics interventions and operationalizing equity across micro (product), meso (institution), and macro (policy) levels can guide designers, informatics teams, providers, and payers toward deployments that are safe, acceptable, and just.
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- Orchestrator multi-agent clinical decision support system for secondary headache diagnosis in primary care. [Journal Article]J Am Med Inform Assoc. 2026 Jun 27. [Online ahead of print]JAMIA
- CONCLUSIONS: An orchestrator-specialist multi-agent LLM framework improves secondary headache diagnosis accuracy and transparency, supporting the development of explainable AI systems for time-constrained clinical decision-making in primary care.
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- CUI-Curate: a GraphRAG-based framework for automated clinical concept curation for NLP applications. [Journal Article]J Am Med Inform Assoc. 2026 Jun 26. [Online ahead of print]JAMIA
- CONCLUSIONS: CUI-Curate offers a scalable, reproducible, and cost-efficient approach for generating clinician-reviewable UMLS concept sets tailored to clinical natural language processing and phenotyping applications.
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- Malfunctions in distributed clinical decision support: 3 cases from a multi‑component clinical decision support system. [Journal Article]J Am Med Inform Assoc. 2026 Jun 26. [Online ahead of print]JAMIA
- CONCLUSIONS: Given the implications software architecture can have on distributed systems, it is critical to expand the definition of what constitutes the CDS system to include components outside the EHR, including those of third-party partners system. Further, monitoring techniques for distributed systems may also require multiple methods to account for differences in how each component can fail.
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- The importance of clinical context in evaluating algorithmic fairness: insights from a medication adherence prediction algorithm. [Journal Article]J Am Med Inform Assoc. 2026 Jun 26. [Online ahead of print]JAMIA
- CONCLUSIONS: Evaluation of predictions in the context of clinical use is essential to avoid unintentionally worsening inequities.
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- Patient and carer perceptions and experiences of technology-facilitated appointment reminders in healthcare: a scoping review. [Journal Article]J Am Med Inform Assoc. 2026 Jun 24. [Online ahead of print]JAMIA
- CONCLUSIONS: Technology-enabled appointment reminders are widely perceived as useful. Digital exclusion, privacy, language, and trust-related barriers limit engagement and access. Greater user involvement is needed to ensure reminder systems support, rather than reproduce, healthcare inequalities. Future research and implementation efforts should prioritise equity-informed design and evaluation.
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- Charting the future of ACMI: a report from the 2025 ACMI symposium. [Journal Article]J Am Med Inform Assoc. 2026 Jun 24. [Online ahead of print]JAMIA
- The 2025 American College of Medical Informatics (ACMI) Symposium, themed Charting the Future of ACMI, provided a forum for fellows to reflect on the 2020-2025 ACMI Strategic Plan and define future priorities. Discussions centered on: (1) mobilizing ACMI's expertise to guide the responsible use of artificial intelligence (AI) in medical informatics, (2) advancing informatics education and mentors…
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- A comparison of Fast Healthcare Interoperability Resources and Observational Medical Mutcomes Partnership electronic health record data within the All of Us Research Program. [Journal Article]J Am Med Inform Assoc. 2026 Jun 23. [Online ahead of print]JAMIA
- CONCLUSIONS: Based on AoURP data, both standards were shown to support healthcare data capture, although OMOP shows greater utility for research purposes as its extract, transform, and load process enables more flexible data capture relative to extracting data from FHIR payloads. FHIR, however, captures patient-level data from beyond the health system and can thus be used to supplement OMOP.
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- Effect of use of ambient listening technology on patient-reported communication and satisfaction ratings. [Journal Article]J Am Med Inform Assoc. 2026 Jun 23. [Online ahead of print]JAMIA
- CONCLUSIONS: We did not find evidence of AI scribes worsening or enhancing patient experiences. Continued evaluation is warranted to ensure positive patient experiences as AI tools expand in clinical care.
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