PhenoPad: Building AI enabled note-taking interfaces for patient encounters.
In: NPJ Digital Medicine, Jg. 5 (2022-01-27), Heft 1, S. 1-9
Online
academicJournal
Zugriff:
Current clinical note-taking approaches cannot capture the entirety of information available from patient encounters and detract from patient-clinician interactions. By surveying healthcare providers' current note-taking practices and attitudes toward new clinical technologies, we developed a patient-centered paradigm for clinical note-taking that makes use of hybrid tablet/keyboard devices and artificial intelligence (AI) technologies. PhenoPad is an intelligent clinical note-taking interface that captures free-form notes and standard phenotypic information via a variety of modalities, including speech and natural language processing techniques, handwriting recognition, and more. The output is unobtrusively presented on mobile devices to clinicians for real-time validation and can be automatically transformed into digital formats that would be compatible with integration into electronic health record systems. Semi-structured interviews and trials in clinical settings rendered positive feedback from both clinicians and patients, demonstrating that AI-enabled clinical note-taking under our design improves ease and breadth of information captured during clinical visits without compromising patient-clinician interactions. We open source a proof-of-concept implementation that can lay the foundation for broader clinical use cases. [ABSTRACT FROM AUTHOR]
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PhenoPad: Building AI enabled note-taking interfaces for patient encounters.
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Autor/in / Beteiligte Person: | Wang, Jixuan ; Yang, Jingbo ; Zhang, Haochi ; Lu, Helen ; Skreta, Marta ; Husić, Mia ; Arbabi, Aryan ; Sultanum, Nicole ; Brudno, Michael |
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Zeitschrift: | NPJ Digital Medicine, Jg. 5 (2022-01-27), Heft 1, S. 1-9 |
Veröffentlichung: | 2022 |
Medientyp: | academicJournal |
ISSN: | 2398-6352 (print) |
DOI: | 10.1038/s41746-021-00555-9 |
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