Computer assisted medical history taking

In this thesis a study is described which was performed to explore the possibilities of computer-assisted history taking to support patient care. A system was developed by which the patient himself enters his medical data into a computer. The system enables an unexperienced user, i.e. a patient, to answer questions asked to him by an "intelligent" computerized questionnaire. In developing this system, use has been made of a fourthgeneration programming package. The system appeared to be user-friendly and was easily adaptable in the pilot phase of the study. During automated history-taking. 99 patients were presented with the medical questionnaire on the screen of a computer terminal in the form of multiple choice questions. By pressing one of several function keys, the patient could indicate his answer. His choice appeared immediately as full text on the screen for verification. At the end of a session, all answers were immediately printed and given to the patient for further verification. All patients had a regular history taken directly after the automated interview. The conventional history was written in the medical record. The doctor had no prior knowledge about the contents of the computerized intervie

Matching Study to Registry data: Maintaining Data Privacy in a Study on Family based Colorectal Cancer

Confidentiality of patient data in the field of medical informatics is an important task. Leaked sensitive information within this data can be adverse to and being abused against a patient. Therefore, when working with medical data, appropriate and secure models which serve as guidelines for different applications are needed. Consequently, this work presents a model for performing a privacy preserving record linkage between study and registry data. The model takes into account seven requirements related to data privacy. Furthermore, this model is exemplified with a study on family based colorectal cancer in Germany. The model is very strict and excludes possible violations towards data privacy protection to a reasonable degree. It should be applicable to similar use cases which are in need of a mapping between medical data of a study and a registry database

Effect of guideline based computerised decision support on decision making of multidisciplinary teams: cluster randomised trial in cardiac rehabilitation

Objective To determine the extent to which computerised decision support can improve concordance of multidisciplinary teams with therapeutic decisions recommended by guidelines

Effects of oxygenation and/or SOD on addition to St. Thomas' Hospital cardioplegic solution

博士（医学）神戸大

An Introduction to Structural Equation Modeling

In this contribution the principles behind Structural Equation Modeling (SEM) are presented. SEM is used for assessing the quality of models that are proposed on the basis of theory and experience. This contribution has an introductory leve

How to measure technology assessment: an introduction

This contribution introduces the Technology Acceptance model. Since information systems are still underutilized, application of models of user acceptance can provide important clues about what can be done to increase system usag