AIMC Topic: Medical Records, Problem-Oriented

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Improving the Utility of Tobacco-Related Problem List Entries Using Natural Language Processing.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
We present findings on using natural language processing to classify tobacco-related entries from problem lists found within patient's electronic health records. Problem lists describe health-related issues recorded during a patient's medical visit; ...
Humans Electronic Health Records Natural Language Processing Tobacco Products Medical Records, Problem-Oriented Tobacco Use
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Automated classification of hip fractures using deep convolutional neural networks with orthopedic surgeon-level accuracy: ensemble decision-making with antero-posterior and lateral radiographs.

Acta orthopaedica Aug 12, 2020
Background and purpose - Deep-learning approaches based on convolutional neural networks (CNNs) are gaining interest in the medical imaging field. We evaluated the diagnostic performance of a CNN to discriminate femoral neck fractures, trochanteric f...
Humans Neural Networks, Computer Female Aged, 80 and over Sensitivity and Specificity Male Diagnosis, Computer-Assisted Deep Learning Diagnosis, Differential Radiography Femoral Neck Fractures Outcome Assessment, Health Care Hip Fractures Femur Medical Records, Problem-Oriented Orthopedic Surgeons
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The Sublanguage of Clinical Problem Lists: A Corpus Analysis.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
.Summary-level clinical text is an important part of the overall clinical record as it provides a condensed and efficient view into the issues pertinent to the patient, or their "problem list." These problem lists contain a wealth of information pert...
Humans Natural Language Processing Semantics Systematized Nomenclature of Medicine Terminology as Topic Unified Medical Language System Medical Records, Problem-Oriented
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Automated problem list generation and physicians perspective from a pilot study.

International journal of medical informatics Jun 4, 2017
OBJECTIVE: An accurate, comprehensive and up-to-date problem list can help clinicians provide patient-centered care. Unfortunately, problem lists created and maintained in electronic health records by providers tend to be inaccurate, duplicative and ...
Humans Machine Learning Physicians Electronic Health Records Pilot Projects Natural Language Processing Practice Patterns, Physicians' Patient Care Management Medical Records, Problem-Oriented
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