AIMC Topic: Electronic Health Records

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Clinician involvement in research on machine learning-based predictive clinical decision support for the hospital setting: A scoping review.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: The study sought to describe the prevalence and nature of clinical expert involvement in the development, evaluation, and implementation of clinical decision support systems (CDSSs) that utilize machine learning to analyze electronic healt...

Precision population analytics: population management at the point-of-care.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To present clinicians at the point-of-care with real-world data on the effectiveness of various treatment options in a precision cohort of patients closely matched to the index patient.

Generative transfer learning for measuring plausibility of EHR diagnosis records.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Due to a complex set of processes involved with the recording of health information in the Electronic Health Records (EHRs), the truthfulness of EHR diagnosis records is questionable. We present a computational approach to estimate the pro...

Classifying Pseudogout Using Machine Learning Approaches With Electronic Health Record Data.

Arthritis care & research
OBJECTIVE: Identifying pseudogout in large data sets is difficult due to its episodic nature and a lack of billing codes specific to this acute subtype of calcium pyrophosphate (CPP) deposition disease. The objective of this study was to evaluate a n...

Advancing care for acute gastrointestinal bleeding using artificial intelligence.

Journal of gastroenterology and hepatology
The future of gastrointestinal bleeding will include the integration of machine learning algorithms to enhance clinician risk assessment and decision making. Machine learning algorithms have shown promise in outperforming existing clinical risk score...

Applications of artificial intelligence in pancreatic and biliary diseases.

Journal of gastroenterology and hepatology
The application of artificial intelligence (AI) in medicine has increased rapidly with respect to tasks including disease detection/diagnosis, risk stratification, and prognosis prediction. With recent advances in computing power and algorithms, AI h...

Application of artificial intelligence in gastroenterology: Potential role in clinical practice.

Journal of gastroenterology and hepatology
Artificial intelligence (AI) based on deep learning boosted medical research in the past years and is expected to enormously change the style of health care in many aspects in the foreseeable future. Nowadays, there are exploding volumes of healthcar...

Development of a predictive model for retention in HIV care using natural language processing of clinical notes.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Adherence to a treatment plan from HIV-positive patients is necessary to decrease their mortality and improve their quality of life, however some patients display poor appointment adherence and become lost to follow-up (LTFU). We applied n...