Ηλεκτρονική υγεία

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Ηλεκτρονική υγεία. Χρ. Ηλιούδης. Περιεχόμενα. Εισαγωγή στην ηλεκτρονική υγεία Τεχνολογικό πλαίσιο Πρότυπα και κωδικοποιήσεις Συστατικά μέρη. βιβλιογραφία. Hanbook of medical informatics, Van Bemmel - PowerPoint PPT Presentation

Transcript of Ηλεκτρονική υγεία

A Horizontal Slice Through Medical Informatics

. e-health e-healthHanbook of medical informatics, Van BemmelE-health: current situation and examples of implemented and beneficial e-health, applications, Ilias Iakovidis et all, 2004 e-health 19912002FP2ESPRITFP3RACE/AIMFP4TELEMATICSFP5IST/Health Applications100M 63 Projects140M 158 Projects 180 M 125ProjectsMedical InformaticsHealth TelematicseHealthPersonalisedeHealthFP6eHealth180 M20 projects+ e-health4 :

e-health5

e-health6 e-health7

e-health9

e-health10 , , , , , . , , . , . e-health11

e-health12

ebXML / HL7 V3HL7 V3ICRS NASP Domain

SSB

PDS

PSIS

SDS

ACF

Secondary Care Application

EPS

(Security & Access)Enhanced Retained Legacy Systems

Primary User

Secondary UserSecurityInfrastructure

Primary CareApplication

EPR

Secondary CareApplication

EPR

Event Engine/Integration Layer

Event Engine/Integration Layer

e-health (e-health) , - E-health . e-healthE-health:

e-healthE-health: .eHealth . e-healthE-health: / , ( ) / e-health e-health18.. ;

Standards HL7

e-health19 , , e-health20

e-health21 Standards (1)Disease CodesInternational Classification of Diseases (ICD-9, -10)Inclusion of Clinical Modifications (-CM)Vocabulary and codesSystemized nomenclature of human and veterinary medicine (SNOMED)Medical Subject Headings (MeSH) in MEDLINERead CodesUniversal Medical Language System (UMLS)Patient informationHL7, ENV 12539, Computerized Patient Record Institute (CPRI), CORBAmed e-health22 Standards (2)Diagnostic imagesDigital imaging and communication in Medicine (DICOM)Laboratory testsLogical Observations Identifiers Names & Codes (LOINC)Payment EDI: EDIFACT, X.12Diagnosis Related Groups (DRGs)PharmaceuticalsU.S. National Drug Code (NDC) e-health23 e-health24 & , , - ..HL7 , -- EDI e-health25

e-health26HL7-

e-health27HL7 Translators Pathology Sub-system

Data

Laboratory Sub-system

Blood Bank Sub-system

Pharmacy Sub-system

ADT Sub-system

e-health28To HL7

e-health29Hospital Level 7: domain-specific . 1Physical 2Data Link 3Network 4TransportCommunication

5Session 6Presentation 7ApplicationFunction

HL7ISO-OSI Communication Architecture Model e-health30 Picture Archiving and Communications Systems - PACSComputed Tomography CTMagnetic Resonance Imaging MRIComputed Radiography (CR)AngiographyUltrasound - USNuclear Medicine - NM e-health31

e-health32 Film digitizersVideo-frame grabberDirect digital image capture 1-2 Tbytes / year 10 e-health33 - StorageArchive Server - ASDepartment File ServerRadiology Information System - RISHierarchical Storage Manager - HSMHospital Information System - HIS e-health34 Standards ;User Consortia (e.g., HL7)Organizations (e.g., NEMA, IEEE)US Government Agencies (e.g., ANSI, NIST)Foreign Government Agencies (e.g., CEN)United Nations (e.g., ISO, CCITT)

e-health35

DICOM Standard e-health36

DICOM Standard e-health37 EDI ANSI American Health Information Management AssociationASTM Committee E31Helath Level Seven (HL7)IEEE National Electrical Manufacturers Association (NEMA)CEN TC251Western European EDIFACT Board message Development Group 9 e-health38As known Liver diseases can be devided into two main categories, The first is focal deseases such as hepatoma and hemangioma, in which pathology is concentrated in a small area while the rest of the liver tissue remains normal.The second category is the diffused diseases such as cirrhosis, where pathology is distributed over the whole liver volume.

Ultrasound B-scan imaging has become one of the most popular methods of imaging human abdominal organs such as Liver. Physics of ultrasonic imaging and the appearance of B-scan images containing various granular structures called speckle pattern, make the use of image texture analysis algorithms suitable for computer assisted tissue characterization.In this study we evaluate the performance of image texture analysis algorithms for the characterization of ultrasonic liver images.

ANSI ASC X3: , ISO/IEC JTC1/SC16 :ISO 7810:1995 - ISO 7811:1995 - ISO 7810:1995 - ( )ISO 7810:1995 - .ISO 7810:1995 - e-health39As known Liver diseases can be devided into two main categories, The first is focal deseases such as hepatoma and hemangioma, in which pathology is concentrated in a small area while the rest of the liver tissue remains normal.The second category is the diffused diseases such as cirrhosis, where pathology is distributed over the whole liver volume.

Ultrasound B-scan imaging has become one of the most popular methods of imaging human abdominal organs such as Liver. Physics of ultrasonic imaging and the appearance of B-scan images containing various granular structures called speckle pattern, make the use of image texture analysis algorithms suitable for computer assisted tissue characterization.In this study we evaluate the performance of image texture analysis algorithms for the characterization of ultrasonic liver images.

ANSI ASC X12N: 12 ASN Z80: HL7: .: P1073 , P1157 .NEMA: DICOM . e-health40As known Liver diseases can be devided into two main categories, The first is focal deseases such as hepatoma and hemangioma, in which pathology is concentrated in a small area while the rest of the liver tissue remains normal.The second category is the diffused diseases such as cirrhosis, where pathology is distributed over the whole liver volume.

Ultrasound B-scan imaging has become one of the most popular methods of imaging human abdominal organs such as Liver. Physics of ultrasonic imaging and the appearance of B-scan images containing various granular structures called speckle pattern, make the use of image texture analysis algorithms suitable for computer assisted tissue characterization.In this study we evaluate the performance of image texture analysis algorithms for the characterization of ultrasonic liver images.

EDI

e-health41As known Liver diseases can be devided into two main categories, The first is focal deseases such as hepatoma and hemangioma, in which pathology is concentrated in a small area while the rest of the liver tissue remains normal.The second category is the diffused diseases such as cirrhosis, where pathology is distributed over the whole liver volume.

Ultrasound B-scan imaging has become one of the most popular methods of imaging human abdominal organs such as Liver. Physics of ultrasonic imaging and the appearance of B-scan images containing various granular structures called speckle pattern, make the use of image texture analysis algorithms suitable for computer assisted tissue characterization.In this study we evaluate the performance of image texture analysis algorithms for the characterization of ultrasonic liver images.

e-health42

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e-health45 - - ,

(Executive board 101st Session, 1998) e-health46 : / : / : , , , , ...

ProviderStationPatient Station

e-health47 (1/2) , , , e-health48 (2/2) , , , .. , e-health49 (Synchronous) , , (Asynchronous), email, e-health50 e-health51 e-health52 Web

e-health53 BackplaneUserInterfaceCommsProcessingProtocolsMedicalDevicesPatientRecords

e-health547 Service AreasUser Interface: HW/SW with which the user interacts, telemedicine device control, person-to-person communicationsMedical Devices: Acquiring patient data, delivering therapy, or analyzing specimensPatient Records: Store and retrieve informationCommunications: Device-to-device communications & support servicesProtocols: Brain of TM device; programs, scripts that allow a medical objective to be accomplished; e.g., med. instrument take reading, store reading, and display readingBackplane: stitches the 6 service areas together; intra-device comm; lists of available components (registry); context and device self-awareness-

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(Privacy). . (Confidentiality). . (Security). . e-health61 : (Privacy). . (Confidentiality). . (Security). . . I A / e-health62 . - - , , , , . . : I A ( )