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Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: This study evaluates the pilot implementation of ambient AI scribe technology to assess physician perspectives on usability and the impact on physician burden and burnout.

Assessment of Follow-Up for Pulmonary Nodules from Radiology Reports with Natural Language Processing.

Studies in health technology and informatics
Radiology reports are an essential communication method for ensuring smooth workflow in healthcare. However, many of these reports are described in free text, and findings documented by radiologists may not be adequately addressed. In this study, foc...

Integrating physics in deep learning algorithms: a force field as a PyTorch module.

Bioinformatics (Oxford, England)
MOTIVATION: Deep learning algorithms applied to structural biology often struggle to converge to meaningful solutions when limited data is available, since they are required to learn complex physical rules from examples. State-of-the-art force-fields...

Technology in Medicine: Improving Clinical Documentation.

FP essentials
The association between electronic health record (EHR) documentation and physician burnout is well-known. A combination of insufficient time to complete tasks, clinical documentation burden, and electronic inbox overload comprises the definition of d...

Reshaping Wound Care: Evaluation of an Artificial Intelligence App to Improve Wound Assessment and Management.

Studies in health technology and informatics
This study evaluated the usability and effectiveness of an artificial intelligence application for wound assessment and management from a clinician-and-patient perspective. A quasi-experimental design was conducted in four settings in an Australian h...

Advanced Care Planning Content Encoding with Natural Language Processing.

Studies in health technology and informatics
While advanced care planning (ACP) is an essential practice for ensuring patient-centered care, its adoption remains poor and the completeness of its documentation variable. Natural language processing (NLP) approaches hold promise for supporting ACP...

Social Determinants of Health in EMS Records: A Mixed-methods Analysis Using Natural Language Processing and Qualitative Content Analysis.

The western journal of emergency medicine
Social determinants of health (SDoH) are known to impact the health and well-being of patients. However, information regarding them is not always collected in healthcare interactions, and healthcare professionals are not always well-trained or equip...

Supporting the Capture of Social Needs Through Natural Language Processing.

Journal of the American Board of Family Medicine : JABFM
Social factors impact morbidity and mortality among patients. Documenting social needs in the clinical notes is currently widely done by family physicians. The unstructured format of information on social factors in electronic health records limits t...

Capturing and Improving Case Charge Accuracy in Robotic Surgery Programs.

Journal of the American College of Surgeons
The robotic platform offers many benefits to patients and surgeons; however, incorporating this new surgical tool has also introduced challenges in intraoperative documentation accuracy. In 2019, we began to investigate our institution's robotic intr...

Developing an Ontology for Documenting Adverse Events While Avoiding Pitfalls.

Studies in health technology and informatics
Ontologies promise more benefits than terminologies in terms of data annotation and computer-assisted reasoning, by defining a hierarchy of terms and their relations within a domain. Here, we present central insights related to the development of an ...