Digital watermarking medical images provides security to the images. The purpose of this study was to see whether digitally watermarked images changed clinical diagnoses when assessed by radiologists. We embedded 256 bits watermark to various medical images in the region of non-interest (RONI) and 480K bits in both region of interest (ROI) and RONI. Our results showed that watermarking medical images did not alter clinical diagnoses. In addition, there was no difference in image quality when visually assessed by the medical radiologists. We therefore concluded that digital watermarking medical images were safe in terms of preserving image quality for clinical purposes.
Matched MeSH terms: Medical Records Systems, Computerized/instrumentation*
The hypothesis in the conceptual model was that a user-driven innovation in presently available information and communication technology infrastructure would be able to meet patient and health professional users information needs and help them attain better health outcomes. An operational model was created to plan a trial on a sample diabetic population utilizing a randomized control trial design, assigning one randomly selected group of diabetics to receive electronic information intervention and analyse if it would improve their health outcomes in comparison with a matched diabetic population who would only receive regular medical intervention. Diabetes was chosen for this particular trial, as it is a major chronic illness in Malaysia as elsewhere in the world. It is in essence a position paper for how the study concept should be organized to stimulate wider discussion prior to beginning the study.
Matched MeSH terms: Medical Records Systems, Computerized/organization & administration
Development and usage of Case Based Reasoning (CBR) driven medical diagnostic system requires a large volume of clinical cases that depict the problem-solving methodology of medical experts. Successful usage of CBR based systems in healthcare is constrained by the need for a continuous supply of current and correct clinical cases (in an electronic medium) from medical experts. To address this constraint we present a strategy to pro-actively transform generic Electronic Patient Records (EPR) to Operable CBR-oriented Cases (OCC) that are compliant to specialised CBR-based medical systems. EPR-OCC transformation methodology is based on XML parse-trees, Unified Medical Language Source (UMLS) meta-thesauri and medical knowledge ontologies. The featured work involves the implementation of a Java-based computer system for the automatic transformation of XML-based EPR-originating from heterogeneous EPR repositories accessible over the Internet/WWW-to specialised OCC that can then be seamlessly incorporated within Intelligent CBR-based Medical Diagnostic Systems.
Matched MeSH terms: Medical Records Systems, Computerized/organization & administration*
We present an Internet-based Personalised Healthcare Information (PHI) dissemination system. Information personalisation is guided by the individual's current health profile as recorded in his/her EMR. A PHI package is composed by intelligently selecting and synthesizing various topic-specific documents, each corresponding to some health parameter noted in the EMR. To ensure medical consistency, constraint satisfaction techniques are employed during the information selection phase. The resultant PHI package--covering both long-term and immediate health-maintenance requirements--can be pro-actively pushed to the individual via email, thereby ensuring the timely availability of situation-specific health maintenance information. The featured work is in line with the Malaysian Multimedia Super Corridor Telemedicine initiative and can serve as a test-bed to evaluate the effectiveness of PHI, system design and operational considerations for larger-scale deployment.
Matched MeSH terms: Medical Records Systems, Computerized