Results 41 to 50 of about 6,194 (173)

HLA‐B*15:21 carrier status is a susceptibility factor of carbamazepine‐induced nonimmediate cutaneous adverse reactions in HLA‐B*15:02‐negative patients: A retrospective cohort study

British Journal of Clinical Pharmacology, EarlyView.
After HLA‐B*15:02 screening, the residual risk of carbamazepine‐induced nonimmediate cutaneous adverse reactions is 0.059. Among these HLA‐B*15:02‐negative cases, HLA‐B*15:11 and HLA‐B*15:21 carrier status significantly increases the risk of carbamazepine‐induced nonimmediate cADR.
Warit Ruanglertboon, Chutima Seree‐aphinan, Antida Sangiemchoey, Khwanchanok Kaewpiboon, Taweesak Maneerot, Oradawan Plong‐on, Pornsiri Sangmanee, Punthipa Nichanon, Jariya Khayman, Jiraphan Manee, Areerat Hnoonual, Kanoot Jaruthamsophon   +11 more
wiley   +1 more source

Patient Information and Surgery Decisions: A Discrete Choice Experiment

Health Economics, EarlyView.
ABSTRACT Surgical treatments are offered more widely than ever before, increasingly to older and high‐risk patients. However, it is unclear whether patients making surgical decisions are fully informed about the risks of surgery and the available non‐surgical treatments.
Francesca Cornaglia, Alessandro Iaria, Eugenio Felipe Merlano, John R. Prowle   +3 more
wiley   +1 more source

Applying Change Models and Methods During a Period of Vast Digital Transformation: A Systematic Review of Practice in Healthcare

The International Journal of Health Planning and Management, EarlyView.
ABSTRACT Introduction Reflection and learning about the use of virtual care in healthcare delivery has become a central goal for health systems internationally. Insights drawn in the aftermath of the COVID‐19 pandemic have led to vast changes to embed virtual care in health care delivery. This study explored the methodologies used to manage change that
Rebecca McDonnell, Ashfaq Chauhan, Corey Adams, Alexander Cardenas, Michelle Moscova, Ramya Walsan, Maryam Sina, Alice Munro, Elizabeth Manias, Rebecca Mitchell, Anthony Gust, Sabe Sabesan, Reema Harrison   +12 more
wiley   +1 more source

Designing a clinical decision support system (CDSS) for personalised medicine in Parkinson's Disease

, 2021
Objectives: to design an EHR-agnostic, CDSS for personalized medicine approaches in the management of Parkinson's disease (PD) that complements symptomatic treatment by adopting a holistic strategy, as well as passive (with IoT devices) and active (with diaries) patient monitoring.
Gatsios, Dimitrios, Rigas, Georgios, Konitsiotis, Spyridon   +2 more
openaire   +2 more sources

The 5R's of large language model‐assisted diagnosis: A practical framework for hospitalists

Journal of Hospital Medicine, EarlyView.
Abstract Diagnostic error remains a major patient safety challenge in hospital medicine. Large language models (LLMs) are increasingly used by clinicians to aid in diagnosis, yet most lack a structured approach for doing so safely and effectively. In this piece, we propose a practical, clinician‐centered framework for LLM‐assisted diagnosis.
Peter Barish, Andrew D. Auerbach, Sumant R. Ranji   +2 more
wiley   +1 more source

Clinical Decision Support System CDSS Requirements. PERSIST Deliverable D5.1

, 2020
This Project deliverable is written in the framework of WP5 – Decision support system at the point of care (Task 5.1 CDSS specification, EHR data extraction and filtering) of PERSIST project under Grant Agreement No. 875406. The intention of this Project deliverable is to provide a report containing the specific CDSS requirements to comply with the ...
Arioz, Umut, Yıldız, Barış, Yılmaz, Mert, Cal Gonzalez, Victoria, Caldy, Damien, Lin, Simon, Calbimonte, Jean-Paul   +6 more
openaire   +2 more sources

Assessing pediatric gastroenterologists' use of artificial intelligence in clinical and professional tasks

JPGN Reports, EarlyView.
Abstract Objectives Artificial intelligence (AI) has demonstrated potential to enhance clinical efficiency. However, its real‐world adoption among pediatric gastroenterologists (GIs) remains poorly characterized. The primary objective of this study was to assess how pediatric GIs are currently utilizing AI. Secondary objectives included estimating time
Ashwin Agrawal, Vineeta Guntupalli, Jonathan E. Teitelbaum, Mohamed Elrais   +3 more
wiley   +1 more source

Durable Cancer Control and Extended Long‐Term Survival Following Salvage Surgery for Squamous Cell Carcinoma of the Anal Canal: A Cohort Study

Journal of Surgical Oncology, EarlyView.
ABSTRACT Aim Salvage surgery is the standard‐of‐care for patients with squamous cell carcinoma of the anal canal (SCCa) who experience isolated locoregional failure after upfront chemoradiotherapy. While perioperative morbidity and short‐term survival outcomes have been described, long‐term outcomes of surgical salvage are unknown.
Paul Savage, David P. Cyr, Dan E. Schiller, Bernard J. Cummings, Alexandra M. Easson, Andrew J. Smith, Carol J. Swallow   +6 more
wiley   +1 more source

Startups Driving Artificial Intelligence Into Clinical Dermatology

JEADV Clinical Practice, EarlyView.
ABSTRACT Artificial intelligence (AI) is rapidly transitioning from innovation to routine clinical application in dermatology. This review examines how AI‐enabled technologies are being developed and integrated across diverse clinical purposes and workflows.
Dominique Du Crest, Benjamin Miguel Monteagudo, Stanislas Vandier, Mullarkey Dan, Svedenhag Per, Jon Friis, Monisha Madhumita, Lilit Garibyan, Tu‐Anh Duong, Merete Haedersdal, Vinzent Kevin Ortner   +10 more
wiley   +1 more source

Review on enhancing clinical decision support system using machine learning

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood, Usman Naseem, Junaid Rashid, Jungeun Kim, Imran Razzak   +4 more
wiley   +1 more source