Development, implementation and evaluation of an information model for archetype based user responsive medical data visualization.
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Development, implementation and evaluation of an information model for archetype based user responsive medical data visualization.
BACKGROUND When the medical data have been captured or exchanged between systems there arises a need to present data consistently to ensure that it is clearly understood and interpreted. A standards-based user interface to provide interoperability at the visual level.
OBJECTIVE The purpose of this research is to develop, implement and evaluate the information model for building user interfaces for medical data based on the basic pattern.
METHOD Here’s the kind of knowledge is identified as an important element and included in the model information: medical content related attributes, associated attribute data types, user-related attributes, the attributes associated with the device. In order to support the user interface flexible and efficient approach to representing various types of knowledge with different model separates the medical concept of the concept and realization of the visual interface is selected. We evaluated the advanced approach using Good Evaluation Practice Guidelines in Health Informatics (GEP-HI).
RESULTS We developed a model of a higher level of information to model the basic pattern of ISO 13606. This allows specification of the nature of the presentation at the time of the definition of archetypes. This model allows realizing different user perspectives on the data. This approach is implemented and evaluated in an EHR system functioning. This evaluation included 30 patients of different ages and IT experienced and 5 doctors. One month testing showed that the time required to read electronic health record decline for a second doctor (from an average of 310 to 220s) and patients (from an average of 95 to 39s). Users report high levels of satisfaction and motivation to use data visualization approach presented especially compared with their previous experience.
CONCLUSION introduced information model allows separate medical knowledge and knowledge presentation. Additional presentation layer will enrich the graphical interface and user flexibility would allow optimal presentation of medical data considering the perspective of different users and different media used for the presentation of data.
Development, implementation and evaluation of an information model for archetype based user responsive medical data visualization.
Subthalamic deep brain stimulation compared to best medical therapy to L-dopa responsive pain in Parkinson’s disease.
Pain is frequently observed non-motor symptoms of patients with Parkinson’s disease. In some patients, Parkinson responds to pain related to dopaminergic treatment. In this study, we aimed to clarify whether the subthalamic deep brain stimulation has beneficial effects similar to pain in Parkinson’s disease, and whether these effects can be predicted by preoperative l-dopa challenge test to assess the severity of pain.
We prospectively analyzed 14 consecutive patients with severe pain Parkinson undergoing deep brain stimulation of the subthalamic. In 8 patients, the perception of pain declined sharply with high doses of L-dopa, regardless of the type and localization of the pain symptoms. In these patients, the subthalamic deep brain stimulation provides even higher reduction of the perception of pain than dopaminergic treatment, and the majority of this group are free of pain after surgery.
This effect lasted up to 41 months. In the remaining 6 patients, the pain does not improve with dopaminergic medication or with deep brain stimulation. Thus, we conclude that the pain following subthalamic deep brain stimulation is superior to that after dopaminergic treatment, and that the response of symptoms to deep brain stimulation can be predicted with l-dopa challenge test assesses the perception of pain.
Description: CRK, also known as p38, is a protein that in humans is encoded by the CRK gene. This gene is a member of an adapter protein family that binds to several tyrosine-phosphorylated proteins. It is mapped to 17p13.3. The protein participates in the Reelin signaling cascade downstream of DAB1. The product of this gene has several SH2 and SH3 domains (src-homology domains) and is involved in several signaling pathways, recruiting cytoplasmic proteins in the vicinity of tyrosine kinase through SH2-phosphotyrosine interaction. The N-terminal SH2 domain of Crk functions as a positive regulator of transformation whereas the C-terminal SH3 domain functions as a negative regulator of transformation. Two alternative transcripts encoding different isoforms with distinct biological activity have been described.
This diagnostic procedure could contribute to a decision on whether or not the Parkinson’s patient with severe pain should undergo deep brain stimulation potential pain.
