AIMC Topic: Electronic Health Records

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Developing a Natural Language Processing tool to identify perinatal self-harm in electronic healthcare records.

PloS one Aug 4, 2021
BACKGROUND: Self-harm occurring within pregnancy and the postnatal year ("perinatal self-harm") is a clinically important yet under-researched topic. Current research likely under-estimates prevalence due to methodological limitations. Electronic hea...
Adult Adolescent Self-Injurious Behavior Natural Language Processing Perinatal Care Pregnancy Female Young Adult Humans Electronic Health Records
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Patterns of Metastatic Disease in Patients with Cancer Derived from Natural Language Processing of Structured CT Radiology Reports over a 10-year Period.

Radiology Aug 3, 2021
Background Patterns of metastasis in cancer are increasingly relevant to prognostication and treatment planning but have historically been documented by means of autopsy series. Purpose To show the feasibility of using natural language processing (NL...
Reproducibility of Results Humans Male Databases, Factual Natural Language Processing Middle Aged Neoplasms Retrospective Studies Tomography, X-Ray Computed Feasibility Studies Data Management Electronic Health Records Neoplasm Metastasis Female Longitudinal Studies
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Artificial Intelligence-Based Prediction of Lung Cancer Risk Using Nonimaging Electronic Medical Records: Deep Learning Approach.

Journal of medical Internet research Aug 3, 2021
BACKGROUND: Artificial intelligence approaches can integrate complex features and can be used to predict a patient's risk of developing lung cancer, thereby decreasing the need for unnecessary and expensive diagnostic interventions.
Deep Learning Artificial Intelligence Humans Lung Neoplasms Retrospective Studies Early Detection of Cancer Electronic Health Records
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Artificial intelligence-assisted clinical decision support for childhood asthma management: A randomized clinical trial.

PloS one Aug 2, 2021
RATIONALE: Clinical decision support (CDS) tools leveraging electronic health records (EHRs) have been an approach for addressing challenges in asthma care but remain under-studied through clinical trials.
Asthma Male Humans Adolescent Child, Preschool Artificial Intelligence Child Electronic Health Records Decision Support Systems, Clinical Female
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Documentation of Shared Decisionmaking in the Emergency Department.

Annals of emergency medicine Jul 31, 2021
STUDY OBJECTIVE: While patient-centered communication and shared decisionmaking are increasingly recognized as vital aspects of clinical practice, little is known about their characteristics in real-world emergency department (ED) settings. We constr...
Adult Communication Male Middle Aged Infant Decision Making, Shared Humans Surveys and Questionnaires Retrospective Studies Female Aged Electronic Health Records Natural Language Processing Infant, Newborn Aged, 80 and over Adolescent Physician-Patient Relations Young Adult Child, Preschool Emergency Medicine Child
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Medical code prediction via capsule networks and ICD knowledge.

BMC medical informatics and decision making Jul 30, 2021
BACKGROUND: Clinical notes record the health status, clinical manifestations and other detailed information of each patient. The International Classification of Diseases (ICD) codes are important labels for electronic health records. Automatic medica...
International Classification of Diseases Humans Neural Networks, Computer Algorithms Electronic Health Records Language
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Study on the semi-supervised learning-based patient similarity from heterogeneous electronic medical records.

BMC medical informatics and decision making Jul 30, 2021
BACKGROUND: A new learning-based patient similarity measurement was proposed to measure patients' similarity for heterogeneous electronic medical records (EMRs) data.
Cluster Analysis Supervised Machine Learning Machine Learning Algorithms Electronic Health Records Humans
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Interpretability of time-series deep learning models: A study in cardiovascular patients admitted to Intensive care unit.

Journal of biomedical informatics Jul 27, 2021
Interpretability is fundamental in healthcare problems and the lack of it in deep learning models is currently the major barrier in the usage of such powerful algorithms in the field. The study describes the implementation of an attention layer for L...
Hospitalization Deep Learning Humans Neural Networks, Computer Intensive Care Units Electronic Health Records
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EHR-Oriented Knowledge Graph System: Toward Efficient Utilization of Non-Used Information Buried in Routine Clinical Practice.

IEEE journal of biomedical and health informatics Jul 27, 2021
Non-used clinical information has negative implications on healthcare quality. Clinicians pay priority attention to clinical information relevant to their specialties during routine clinical practices but may be insensitive or less concerned about in...
Artificial Intelligence Electronic Health Records Follow-Up Studies Humans Semantics Pattern Recognition, Automated
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Natural Language Processing to Identify Advance Care Planning Documentation in a Multisite Pragmatic Clinical Trial.

Journal of pain and symptom management Jul 14, 2021
CONTEXT: Large multisite clinical trials studying decision-making when facing serious illness require an efficient method for abstraction of advance care planning (ACP) documentation from clinical text documents. However, the current gold standard me...
Electronic Health Records Natural Language Processing Advance Care Planning Humans Documentation Palliative Care
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