Results 331 to 340 of about 264,832 (387)

Examining the use of analytics in healthcare operations management: A systematic and narrative literature review

open access: yesDecision Sciences, EarlyView.
Abstract Healthcare delivery is data intensive and data dependent, but hospitals have struggled to leverage data to improve operational performance. At the same time, healthcare researchers have been advancing the use of analytics in our publications. Unfortunately, there appears to be a substantial gap between the insights that we as researchers have ...
Bogdan Bichescu   +4 more
wiley   +1 more source

Sustained metabolic improvements in a remotely delivered ketogenic nutrition programme for veterans with type 2 diabetes: A 3‐year observational study

open access: yesDiabetes, Obesity and Metabolism, EarlyView.
Abstract Aim To evaluate the long‐term effectiveness and safety of a remote, medically supervised ketogenic nutrition therapy intervention for Veterans with type 2 diabetes (T2D). Materials and Methods This retrospective observational analysis examined de‐identified medical records of Veterans with T2D who engaged in a remote continuous care ...
Rebecca N. Adams   +4 more
wiley   +1 more source

The impact of the prolonged COVID-19 pandemic on the practice of psychosomatic medicine in Japan: a nationwide physician survey. [PDF]

open access: yesBiopsychosoc Med
Yamanaka Y   +5 more
europepmc   +1 more source

Global, regional and national burden of blindness and vision loss attributable to diabetic retinopathy, 1990–2021: A systematic analysis for the Global Burden of Disease Study 2021

open access: yesDiabetes, Obesity and Metabolism, EarlyView.
Abstract Aims Diabetes is increasingly reported as a cause of blindness and vision loss. However, the trends in the burden of blindness and vision loss attributed to diabetic retinopathy (DR) have yet to be fully elucidated. Materials and Methods Utilizing the latest data from the Global Burden of Disease Study 2021, we extracted prevalence and years ...
Yujie Pan   +4 more
wiley   +1 more source

Prediction of glycaemic control and quality of life in people with type 2 diabetes using glucose‐lowering drugs with machine learning—The Maastricht study

open access: yesDiabetes, Obesity and Metabolism, EarlyView.
Abstract Background Despite the heterogeneity of type 2 diabetes (T2D), all patients are treated according to the same guideline. Some people have more difficulty reaching treatment goals (adequate glycaemic control) and maintaining quality of life (QoL).
Nikki C. C. Werkman   +14 more
wiley   +1 more source

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