A Benchmark for Urgency in Patient
Portal Messages
AI & ML interests
AI for Healthcare, Medicine, and Clinical Text!
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PortalPal is a project run by the Persist Lab @ Dartmouth College where we build AI tools for patient portal messaging.
Relevant Publications:
- Medical Triage as Pairwise Ranking: A Benchmark for Urgency in Patient Portal Messages (Pre-Print)
- How Much Would a Clinician Edit This Draft? Evaluating LLM Alignment for Patient Message Response Drafting (Pre-Print)
- Follow-up Question Generation For Enhanced Patient-Provider Conversations (Accepted @ ACL Main 25')
- In-Context Learning for Preserving Patient Privacy: A Framework for Synthesizing Realistic Patient Portal Messages (ML4H Findings 24')
- Identifying the Perceived Severity of Patient-Generated Telemedical Queries Regarding COVID: Developing and Evaluating a Transfer Learning–Based Solution (JMIR 22')
models
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None public yet
datasets
11
PortalPal-AI/PMP-Synth-AllPairs-Annotated
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869
PortalPal-AI/Patient-Message-Response-Drafting
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100
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464
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2
PortalPal-AI/PMR-Synth-Inboxes
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60
PortalPal-AI/PMR-Reddit-Test-Pairs
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1.5k
PortalPal-AI/PMR-Reddit-Train-Dev-Pool
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859
PortalPal-AI/toy_triage_pairs
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10
PortalPal-AI/toy_triage_inbox
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5
PortalPal-AI/Message-Severity-COVID-19
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573
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15
PortalPal-AI/Question-Matching
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100
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38
PortalPal-AI/Portal-Messaging-Topics
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14
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4