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Title:      COMPUTATIONAL WORKFLOWS FOR ETHICAL PRIORITISATION OF PREVENTIVE SCREENING
Author(s):      Edward C. Conley , Adina Riposana , Ian J. Taylora , Omer Rana , David R. Owens
ISBN:      978-972-8924-81-2
Editors:      Mário Macedo
Year:      2009
Edition:      Single
Keywords:      Disease early detection, disease prevention, preventative screening, evidence-based service remodelling; computational workflow; diabetes, diabetic retinop
Type:      Full Paper
First Page:      51
Last Page:      58
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      Currently, screening services aimed at prevention of disease tend to be delivered at a level irrespective of whether individuals need them or not. This situation is wasteful and economically unsustainable. In order to develop patientcentred services responsive to individual needs, we must find more efficient ways to evaluate relative need in an ethical manner on the basis of trusted clinical evidence. With disease prevention as the central principle, we have evolved new computational methods to challenge the ‘one service fits all’ model of provision. To accomplish this, we had to redefine mechanisms for evidence-based adjustment of screening frequency away from default (typically annual) frequencies to ones prioritised on the basis of individualised needs. For the majority of patients, this has potential to save many unnecessary hospital appointments whilst maintaining safety. For people with greater needs, it has the potential to radically improve efficiency and timeliness of screening episodes. We have applied advanced methods of computational workflow to collate, transform and analyse a range of data to compute disease risk status. Status and risk is indicated by patterns of physiological and metabolic variables/trends (e.g. data derived from regular clinics/telehealth services) in relation to patient outcomes (where either disease has developed or no disease has developed). A body of outcomesinferential evidence was used to support the validation of these computational models for optimizing screening frequencies. The workflows have been designed for application to prioritisation problems in the specialised field of diabetic retinopathy with a view to their generic application in preventative screening services.
   

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