Information for intensive care evoluation : methods to assess and improve data quality and data processing

Authors	D.G.T. Arts
Supervisors	M.B. Vroom A. Hasman
Cosupervisors	N.F. de Keizer E. de Jonge
Award date	24-05-2005
Number of pages	144
Organisations	Faculty of Medicine (AMC-UvA)
Document type	PhD thesis
Language	English
Downloads	Thesis Cover Stellingen behorende bij het proefschrift Titlepage Contents Chapter 1 General introduction Chapter 2 Defining and improving data quality in medical registries: A literature review, case study and generic framework Chapter 3 Training in data definitions improves quality of intensive care data Chapter 4 Quality of data collected for severity-of-illness scores in the Dutch National Intensive Care Evaluation (NICE) registry Chapter 5 Reliability and accuracy of Sequential Organ Failure Assessment (SOFA) scoring Chapter 6 Methods for evaluation of medical terminological systems; a literature review and a case study Chapter 7 Prognostic models: External validation and the effect of sample size Chapter 8 General discussion Summary Samenvatting Appendix Curriculum Vitae Cover
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