AIMC Topic: Quality Improvement

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Preparing Doctoral Nurse Leaders to Champion Artificial Intelligence in Nursing Education.

Journal of doctoral nursing practice
Artificial intelligence (AI) presents transformative opportunities in nursing education, particularly in Doctor of Nursing Practice (DNP) programs, where preparing graduates for technology-enhanced clinical practice is essential. However, faculty fa...

Colonoscopy Quality and Strategies for Improvement.

Gut and liver
Colonoscopy plays a pivotal role in colorectal cancer (CRC) screening and reduces CRC incidence and mortality. Its effectiveness depends on colonoscopist performance, which can vary. Missed lesions during colonoscopy can lead to post-colonoscopy CRC ...

Designing for Patient-Centered Care and Equity in Virtual Hospital-at-Home Models: Quality Improvement Initiative Using Experience-Based Co-Design.

JMIR human factors
BACKGROUND: The rapid expansion of virtual care during COVID-19 accelerated the development of virtual hospital-at-home models, which deliver hospital-level care in patients' homes through remote monitoring, virtual communication, and in-person suppo...

Improved American College of Surgeons NSQIP Hospital Benchmarking with Risk Adjustment for Many CPT Codes Rather Than Just the Principal Code.

Journal of the American College of Surgeons
BACKGROUND: Because of technical limitations inherent to logistic regression, NSQIP benchmarking has historically risk adjusted for procedure using only 1 principal CPT code among other predictors. This has the potential to create bias (favorable or ...

Use of a Medical Communication Framework to Assess the Quality of Generative Artificial Intelligence Replies to Primary Care Patient Portal Messages: Content Analysis.

JMIR formative research
BACKGROUND: There is growing interest in applying generative artificial intelligence (GenAI) to respond to electronic patient portal messages, particularly in primary care where message volumes are highest. However, evaluations of GenAI as an inbox c...

Leveraging AI to Optimize Maintenance of Health Evidence and Offer a One-Stop Shop for Quality-Appraised Evidence Syntheses on the Effectiveness of Public Health Interventions: Quality Improvement Project.

Journal of medical Internet research
BACKGROUND: Health Evidence provides access to quality appraisals for >10,000 evidence syntheses on the effectiveness and cost-effectiveness of public health and health promotion interventions. Maintaining Health Evidence has become increasingly reso...

Leveraging AI to Drive Timely Improvements in Patient Experience Feedback: Algorithm Validation.

JMIR medical informatics
BACKGROUND: Understanding and improving patient care is pivotal for health care providers. With increasing volumes of the Friends and Family Test (FFT) data in England, manual analysis of this patient feedback poses challenges for many health care or...

Machine Learning Multimodal Model for Delirium Risk Stratification.

JAMA network open
IMPORTANCE: Automating the identification of risk for developing hospital delirium with models that use machine learning (ML) could facilitate more rapid prevention, identification, and treatment of delirium. However, there are very few reports on th...

Exploring Suitability of Low-Severity Rating Hospital Incident Reports for Machine Learning.

Computers, informatics, nursing : CIN
Electronic incident reporting is a key quality and a safety process for healthcare organizations that assists in evaluating performance and informing quality improvement initiatives. Although it is mandatory for high-severity incident reports to be i...