Observational studyJMIR formative research2026
Multicall Memory in an AI Care Agent for Chronic Care Management Among Older Adults: Retrospective Observational Study.
Observational study in JMIR formative research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Multicall memory capabilities in AI-powered health care communication systems show promise for enhancing patient engagement, but their impact on engagement and patient satisfaction remains unclear. Objective: This study evaluated the relationship between multicall memory usage and key patient experience metrics, including call duration and satisfaction scores, in an AI-powered health care communication system. Methods: We conducted a retrospective analysis of 4415 AI care agent calls from 4189 patients using linear mixed-effects models to account for multiple calls per patient. The primary predictor was the number of memories used per call. Outcomes included call duration (in minutes), net promoter score, and patient satisfaction ratings. We analyzed the full dataset and relevant subsets (completed calls only and memory-using calls only) to assess the robustness of the findings. Results: Memory usage was significantly associated with increased call duration, with each additional memory associated with an extension of 2.47 minutes (95% CI 2.03-2.91; Conclusions: Multicall memory usage is significantly associated with enhanced behavioral engagement. The findings reveal a disconnect between engagement duration and patient-reported experience, suggesting that memory optimization strategies should focus on behavioral engagement metrics while considering factors beyond usage quantity for patient satisfaction. These results provide evidence-based guidance for health care organizations implementing memory-enabled AI communication systems.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.