1. PhenoPad: Building AI enabled note-taking interfaces for patient encounters.
- Author
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Wang, Jixuan, Yang, Jingbo, Zhang, Haochi, Lu, Helen, Skreta, Marta, Husić, Mia, Arbabi, Aryan, Sultanum, Nicole, and Brudno, Michael
- Subjects
NOTETAKING ,NATURAL language processing ,ELECTRONIC health records ,ARTIFICIAL intelligence ,MEDICAL personnel ,KEYBOARDS (Electronics) ,ATTITUDES toward technology ,INFORMATION storage & retrieval systems ,MEDICAL databases ,PHYSICIAN-patient relations ,RESEARCH methodology ,HANDWRITING ,PATIENT satisfaction ,INTERVIEWING ,SURVEYS ,PATIENTS' attitudes ,DECISION support systems ,WORKFLOW ,MEDICAL records ,QUESTIONNAIRES - Abstract
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]
- Published
- 2022
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