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Normal Brain Parameters Hand Morphology Electron Density Map Image Equalization

RADIOLOGY INFORMATION SYSTEM (RIS). HOSPITAL INFORMATION SYSTEM (HIS). PICTURE ARCHIVING AND COMMUNICATION SYSTEM (PACS). VOICE DBMS. Patient Description Clinical History Clinical Lab Reports Insurance Information Hospital Service Admission Information. Patient Demographics

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Normal Brain Parameters Hand Morphology Electron Density Map Image Equalization

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  1. RADIOLOGY INFORMATION SYSTEM (RIS) HOSPITAL INFORMATION SYSTEM (HIS) PICTURE ARCHIVING AND COMMUNICATION SYSTEM (PACS) VOICE DBMS Patient Description Clinical History Clinical Lab Reports Insurance Information Hospital Service Admission Information Patient Demographics Network Image Dir. Study Description Image Description Technique Parameters Diagnostic Reports Study Request Info Study Scheduling Procedure Description Text Reports CLINICAL DATA Diagnostic Reports Impressions Disease Classes Patient Classes Bone Age Table Bone Density Table Heart Size Table Clinical Protocols IMAGE DATA SCIENTIFIC DATA Radiology Images: Computed Tomography Magnetic Resonance Computed Radiography Digital Angiography Ultrasound X-ray Spectra Film Characteristics Screen Characteristics Dual Energy Cal. Data Monitor Characteristics Tissue Composition Desired: logically integrated view of patient and related data (for healthcare provider, patient, insurance, etc) CLINICAL MODELS/RECONSTR. IMAGE VIEWS SIMULATION MODELS Normal Brain Parameters Hand Morphology Electron Density Map Image Equalization 3D,4D Reconstructions Dual Enery Reconstr. Blood Flow Physiological Processes X-ray Scatter X-ray Absorption Tumor Characteristics Typical medical center multimedia patient data dispersion. Data systems have been usually implemented independently – distributed and heterogeneous

  2. Patient Medical Record Timeline Desired(Source: UCLA radiologist, doctors, computer scientists)

  3. What is coming: patient monitoring • In the next 10 to 20 years (8 to 12?) medical patients should be living in a better world • Real-time monitoring any time, any place, by light-weight non-intrusive intelligent body sensors and processors • Smaller, highly mobile, low-cost image scanning for related body objects of concern (e.g., malignant tumors) • On-board alphanumeric data and related image object data transmitted not only to the traditional large medical centers of today, but also directly to the mobile and roaming physician or others most concerned (e.g., family members) • More rapid diagnosis and detection of complications so that early treatment can be initiated with improved health care

  4. Multisensor Systems Example: The LifeShirt (From VivoMetrics Inc) • What is it? • The LifeShirt System is an example of an innovative ambulatory multi-sensor continuous monitoring system for collecting, analyzing and reporting health data • Captures an ongoing "movie" of physiologic data rather than episodic"snapshots" collected during periodic office visits

  5. Requirements and Expectations

  6. Pocket TimeLine • Enables physicians to visualize a subset of the data available to the desktop version of TimeLine • Implemented as a Java Servlet • Demo at http://www.mmss.cs.ucla.edu/PocketTimeLine.htm • Current implementation includes: • Timeline visualization • Image visualization • Graph visualization

  7. Medical Patient Record Integration Challenges Alfonso F. CardenasUCLA2005

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