RADIOLOGY INFORMATION SYSTEM (RIS)
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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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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

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


Normal brain parameters hand morphology electron density map image equalization

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


What is coming patient monitoring

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


Normal brain parameters hand morphology electron density map image equalization

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


Normal brain parameters hand morphology electron density map image equalization

Requirements and Expectations


Normal brain parameters hand morphology electron density map image equalization

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


Medical patient record integration challenges

Medical Patient Record Integration Challenges

Alfonso F. CardenasUCLA2005


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