ArticleJournal of the American Medical Informatics Association : JAMIA2022
Tasks as needs: reframing the paradigm of clinical natural language processing research for real-world decision support.
Article in Journal of the American Medical Informatics Association : JAMIA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Including patient experiences from online sources in guidelines: A natural language processing study on scabies.PloS one · 2026Article
- Convergence of evolving artificial intelligence and machine learning techniques in precision oncology.NPJ digital medicine · 2025Article
- Automated decision making in Barrett's oesophagus: development and deployment of a natural language processing tool.NPJ digital medicine · 2024Article
- Automated System to Capture Patient Symptoms From Multitype Japanese Clinical Texts: Retrospective Study.JMIR medical informatics · 2024Article
- Article
- Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study.JMIR AI · 2024Article
- Deploying a national clinical text processing infrastructure.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Retrieval Augmented Generation Enabled Generative Pre-Trained Transformer 4 (GPT-4) Performance for Clinical Trial Screening.medRxiv : the preprint server for health sciences · 2024Article
- Applications of the Natural Language Processing Tool ChatGPT in Clinical Practice: Comparative Study and Augmented Systematic Review.JMIR medical informatics · 2023Article
- A voice-based digital assistant for intelligent prompting of evidence-based practices during ICU rounds.Journal of biomedical informatics · 2023Article
- Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes.Proceedings of the conference. Association for Computational Linguistics. Meeting · 2023Article
- Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 shared task.Journal of biomedical informatics · 2023Article
- Deployment of Real-time Natural Language Processing and Deep Learning Clinical Decision Support in the Electronic Health Record: Pipeline Implementation for an Opioid Misuse Screener in Hospitalized Adults.JMIR medical informatics · 2023Article
- DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing.Journal of biomedical informatics · 2023Article
- Practical Considerations for Developing Clinical Natural Language Processing Systems for Population Health Management and Measurement.JMIR medical informatics · 2023Article
- Design considerations for a hierarchical semantic compositional framework for medical natural language understanding.PloS one · 2023Article
- The Evaluation of a Clinical Decision Support Tool Using Natural Language Processing to Screen Hospitalized Adults for Unhealthy Substance Use: Protocol for a Quasi-Experimental Design.JMIR research protocols · 2022Article
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3 authors.
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Abstract
Electronic medical records are increasingly used to store patient information in hospitals and other clinical settings. There has been a corresponding proliferation of clinical natural language processing (cNLP) systems aimed at using text data in these records to improve clinical decision-making, in comparison to manual clinician search and clinical judgment alone. However, these systems have delivered marginal practical utility and are rarely deployed into healthcare settings, leading to proposals for technical and structural improvements. In this paper, we argue that this reflects a violation of Friedman's "Fundamental Theorem of Biomedical Informatics," and that a deeper epistemological change must occur in the cNLP field, as a parallel step alongside any technical or structural improvements. We propose that researchers shift away from designing cNLP systems independent of clinical needs, in which cNLP tasks are ends in themselves-"tasks as decisions"-and toward systems that are directly guided by the needs of clinicians in realistic decision-making contexts-"tasks as needs." A case study example illustrates the potential benefits of developing cNLP systems that are designed to more directly support clinical needs.
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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.