The use of positive deviance approach to improve health service delivery and quality of care: a scoping review

AM Kassie, E Eakin, BB Abate, A Endalamaw… - BMC Health Services …, 2024 - Springer
Background Quality has been a persistent challenge in the healthcare system, particularly in
resource-limited settings. As a result, the utilization of innovative approaches is required to …

Artificial intelligence-driven prescriptive model to optimize team efficiency in a high-volume primary arthroplasty practice

F Al Zoubi, R Gold, S Poitras, C Kreviazuk… - International …, 2023 - Springer
Purpose We aimed to improve OR efficiency using machine learning (ML) to find relevant
metrics influencing surgery time success and team performance on efficiency to create a …

[HTML][HTML] Leveraging machine learning and prescriptive analytics to improve operating room throughput

F Al Zoubi, G Khalaf, PE Beaulé… - Frontiers in Digital …, 2023 - frontiersin.org
To reduce the increasing wait lists for hip and knee surgeries, we aim to verify whether it is
possible to add a 5th surgery, to the typical 4 arthroplasty surgery per day schedule, without …

[HTML][HTML] First deployment of artificial intelligence recommendations in orthopedic surgery

F Al Zoubi, K Kashanian, P Beaule… - Frontiers in Artificial …, 2024 - ncbi.nlm.nih.gov
Scant research has delved into the non-clinical facets of artificial intelligence (AI),
concentrating on leveraging data to enhance the efficiency of healthcare systems and …

A Descriptive Study of the Internal Motives of Organizational Positive Deviant Leaders

MR Girardier - 2023 - search.proquest.com
The purpose of this qualitative descriptive study was to explore how self-identified positive
deviant leaders within the US describe their internal motives to go against the norms, their …

Leveraging Overtime Hours to Fit an Additional Arthroplasty Surgery Per Day: A Feasibility Study

G Khalaf - 2023 - ruor.uottawa.ca
The COVID-19 pandemic resulted in the cancellation of many hip and knee replacements,
creating a backlog of patients on top of an existing long waiting list. To reduce wait lists with …