KEYWORDS: Visualization, 3D modeling, Visual process modeling, 3D displays, Medical imaging, Data modeling, Medicine, Systems modeling, Visual analytics, Picture Archiving and Communication System
To have comprehensive and completed understanding healthcare status of a patient, doctors need to search patient
medical records from different healthcare information systems, such as PACS, RIS, HIS, USIS, as a reference of
diagnosis and treatment decisions for the patient. However, it is time-consuming and tedious to do these procedures. In
order to solve this kind of problems, we developed a patient-oriented visual index system (VIS) to use the visual
technology to show health status and to retrieve the patients' examination information stored in each system with a 3D
human model. In this presentation, we present a new approach about how to extract the semantic and characteristic
information from the medical record systems such as RIS/USIS to create the 3D Visual Index. This approach includes
following steps: (1) Building a medical characteristic semantic knowledge base; (2) Developing natural language
processing (NLP) engine to perform semantic analysis and logical judgment on text-based medical records; (3) Applying
the knowledge base and NLP engine on medical records to extract medical characteristics (e.g., the positive focus
information), and then mapping extracted information to related organ/parts of 3D human model to create the visual
index. We performed the testing procedures on 559 samples of radiological reports which include 853 focuses, and
achieved 828 focuses' information. The successful rate of focus extraction is about 97.1%.
KEYWORDS: Visualization, Medical imaging, 3D modeling, Medicine, Picture Archiving and Communication System, Data storage, Data modeling, Image retrieval, Lung, OpenGL
With the widely use of healthcare information technology in hospitals, the patients' medical records are more and
more complex. To transform the text- or image-based medical information into easily understandable and acceptable
form for human, we designed and developed an innovation indexing method which can be used to assign an anatomical
3D structure object to every patient visually to store indexes of the patients' basic information, historical examined
image information and RIS report information. When a doctor wants to review patient historical records, he or she can
first load the anatomical structure object and the view the 3D index of this object using a digital human model tool kit.
This prototype system helps doctors to easily and visually obtain the complete historical healthcare status of patients,
including large amounts of medical data, and quickly locate detailed information, including both reports and images,
from medical information systems. In this way, doctors can save time that may be better used to understand information,
obtain a more comprehensive understanding of their patients' situations, and provide better healthcare services to
patients.
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