AIMC Topic: Physicians, Primary Care

Clear Filters Showing 11 to 17 of 17 articles

Using natural language processing and machine learning to classify health literacy from secure messages: The ECLIPPSE study.

PloS one
Limited health literacy is a barrier to optimal healthcare delivery and outcomes. Current measures requiring patients to self-report limitations are time-consuming and may be considered intrusive by some. This makes widespread classification of patie...

Primary Care Provider Perceptions and Practices Regarding Dosing Units for Oral Liquid Medications.

Academic pediatrics
INTRODUCTION: To prevent errors, health care professional and safety organizations recommend using milliliters (mL) alone for oral liquid medication dosing instructions and devices. In 2018, for federal incentives under the Quality Payment Program, o...

Primary care physicians' perceived barriers, facilitators and strategies to enhance conservative care for older adults with chronic kidney disease: a qualitative descriptive study.

Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association
BACKGROUND: Although primary care physicians (PCPs) are often responsible for the routine care of older adults with chronic kidney disease (CKD), there is a paucity of evidence regarding their perspectives and practice of conservative (non-dialysis) ...

Artificial intelligence in breast cancer screening: primary care provider preferences.

Journal of the American Medical Informatics Association : JAMIA
BACKGROUND: Artificial intelligence (AI) is increasingly being proposed for use in medicine, including breast cancer screening (BCS). Little is known, however, about referring primary care providers' (PCPs') preferences for this technology.