Normal Brain Parameters Hand Morphology Electron Density Map Image Equalization

Normal Brain ParametersHand MorphologyElectron Density MapImage Equalization3D,4D ReconstructionsDual Enery Reconstr..

Patient DescriptionClinical HistoryClinical Lab ReportsInsurance InformationHospital ServiceAdmission Information

Study Request InfoStudy SchedulingProcedure DescriptionText Reports

Desired: logically integratedview of patient and related data

(for healthcare provider, patient, insurance, etc)

CLINICAL CLINICAL MODELS/RECONSTR. MODELS/RECONSTR.

IMAGE VIEWSIMAGE VIEWS

Radiology Images:Computed TomographyMagnetic ResonanceComputed RadiographyDigital AngiographyUltrasound

IMAGE DATAIMAGE DATA

Diagnostic ReportsImpressions

VOICE DBMSVOICE DBMS

HOSPITAL HOSPITAL INFORMATION SYSTEM INFORMATION SYSTEM

(HIS)(HIS)

Patient DemographicsNetwork Image Dir.Study DescriptionImage DescriptionTechnique ParametersDiagnostic Reports

PICTURE ARCHIVING PICTURE ARCHIVING AND COMMUNICATION AND COMMUNICATION

SYSTEM (PACS)SYSTEM (PACS)

RADIOLOGY RADIOLOGY INFORMATION SYSTEM INFORMATION SYSTEM

(RIS)(RIS)

Disease Classes Patient Classes Bone Age Table Bone Density Table Heart Size Table Clinical Protocols

CLINICAL DATACLINICAL DATA

X-ray SpectraFilm CharacteristicsScreen CharacteristicsDual Energy Cal. DataMonitor CharacteristicsTissue Composition

SCIENTIFIC DATASCIENTIFIC DATA

Blood FlowPhysiological ProcessesX-ray ScatterX-ray AbsorptionTumor Characteristics

SIMULATION MODELSSIMULATION MODELS

Typical medical center multimedia patient data dispersion. Data systems have been usually implemented independently –

distributed and heterogeneous

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

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

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

Requirements and Expectations

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

Alfonso F. CardenasUCLA2005