The practice of risk management has developed and widened considerably in the NHS in the last decade in response to several key reports including An organisation with a memory, which highlighted the need to learn from clinical error, and Standards for better health, which outlined potential ...
Deus, Évora, 7000-811, Portugal, Tel +351 91 4006726, Email catarina.madeira@colabtrials.pt Purpose: Over the last years, in response to the increasing complexity and demand of clinical trials, there has been a growing concern with the application of efficient risk management methodologies. ...
For example, more medical resources can be directed towards the management of individuals at high genetic risk for CVD. For those with moderate or low genetic risk, the focus should be on maintaining and improving metabolic health across BMI categories and implementing appropriate prevention measures....
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Improving patient adherence to lifestyle advice (IMPALA): a cluster-randomised controlled trial on the implementation of a nurse-led intervention for cardiovascular risk management in primary care (protocol). BMC Health Serv Res. 2008;8:9. doi:10.1186/1472-6963-8-9PubMedGoogle Scholar 151...
The informed consent obtained from ALSPAC participants does not allow the data to be made freely available through any third-party maintained public repository. Data used for this submission can be made available on request to the ALSPAC Executive. The ALSPAC data management plan describes in detail...
Dr Morice reported being the chief executive officer of CERC. No other disclosures were reported. Funding/Support: This study was funded by Biosensors Europe. Role of the Funder/Sponsor: The funder had no role in the design and conduct of the study; collection, management, analysis, and ...
If Plan A will get risk corridor payments for some losses, Parent Company might overcharge Plan A for management services, creating profits at Parent Company and booking losses at Plan A. The same vulnerability to transfer pricing manipulation exists if Plan A is integrated with a hospital system...
Data management, statistical analyses and model evaluation steps were performed using Stata V17. Machine learning model building and IECV used R (packages: keras, xgboost [both with GPU support], and ParBayesianOptimization). Patient and public involvement Pancreatic Cancer UK Research Involvement Netw...
namely the implementation of a risk-management framework that enables the use of sTILs as a stratification factor in clinical trials. We present the design of a biomarker risk-mitigation workflow that can be applied to any biomarker incorporation in clinical trials. We demonstrate the implementation ...