A Patient Care Digital Library Personalized Search and Summarization over Multimedia Information
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Transcript of A Patient Care Digital Library Personalized Search and Summarization over Multimedia Information
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A Patient Care Digital Library
Personalized Search and Summarization over Multimedia Information
A Patient Care Digital Library
Personalized Search and Summarization over Multimedia Information
Kathleen McKeown, Shih-Fu Chang, James Kathleen McKeown, Shih-Fu Chang, James Cimino, Cimino, Paul ClaytonPaul Clayton, Judith Klavans, Judith Klavans
Columbia UniversityColumbia University
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VisionVision
Personalized access to distributed resourcesPersonalized access to distributed resources information vetting information vetting information fusioninformation fusion information understandinginformation understanding
Provision of patient-specific informationProvision of patient-specific information at the point of patient careat the point of patient care in terms that can be understoodin terms that can be understood
Benefits: awareness of new procedures, Benefits: awareness of new procedures, increased complianceincreased compliance
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FeaturesFeatures
Tailor search, presentation, and Tailor search, presentation, and summarization of online medical literaturesummarization of online medical literature
Exploit online patient record as user modelExploit online patient record as user model Patients and health care providersPatients and health care providers Multimodal access and presentation over Multimodal access and presentation over
multimedia resourcesmultimedia resources
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Scope of ResearchScope of Research
““exciting,” “innovative,”exciting,” “innovative,”“broad,” “ambitious,” “complex”“broad,” “ambitious,” “complex”
Computer Science and Medical InformaticsComputer Science and Medical Informatics Links into libraries: CRIALinks into libraries: CRIA Suite of existing component technologiesSuite of existing component technologies Five year visionFive year vision Active partnersActive partners
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ContinuumContinuum
Current: existing individual components for Current: existing individual components for multiple applicationsmultiple applications
summarization of terrorist news, image search, summarization of terrorist news, image search, categorization of images, multimedia briefings, PATCIS, categorization of images, multimedia briefings, PATCIS, patient mammography record extraction, video patient mammography record extraction, video summarization of news, query translationsummarization of news, query translation
Future: DLI2 enablesFuture: DLI2 enables unification and transformation of componentsunification and transformation of components new level of capabilitynew level of capability integrated in a single application integrated in a single application
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OutlineOutline
Desmond JordanDesmond Jordan Why this research is neededWhy this research is needed
Kathy McKeownKathy McKeown An example—integration of components An example—integration of components Scope, organization, managementScope, organization, management Role of partners and new developmentsRole of partners and new developments
Jim CiminoJim Cimino Clinical information infrastructureClinical information infrastructure
Kathy McKeownKathy McKeown BudgetBudget
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RoundsRounds
Patient-centricPatient-centric Current: Access Current: Access
to clinical datato clinical data Missing: Missing:
Access to Access to literature that literature that fits patient fits patient profileprofile
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Data follows the patient—why not literature?Data follows the patient—why not literature?
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Ongoing Collaboration: Generation of Multimedia BriefingsOngoing Collaboration: Generation of Multimedia Briefings
Voice: . . . . Ms. Jones is an 80 year old, diabetic, hypertensive, female patient of Dr. Smith undergoing CABG. . . .
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User Study GroupUser Study Group
Speech, text, and Speech, text, and graphics output graphics output were usefulwere useful
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Multimedia VideoMultimedia Video
Physicians: residents learn by comparisonPhysicians: residents learn by comparison
Patients:Patients: Video helps them understand their diagnosisVideo helps them understand their diagnosis They like to investigate prognosisThey like to investigate prognosis
Steve Feiner:
If I recall correctly, I found the image at the bottom in a we page for patients with CHF. May have something to do with fluid buildup.
Steve Feiner:
If I recall correctly, I found the image at the bottom in a we page for patients with CHF. May have something to do with fluid buildup.
Why should I prescribe amiodarone?
Query
History
WebSeek
Lexical Navigation
Steve Feiner:
This slide differs from the previous one in that it has a real graphical history, although not in the medical domain. It may be better, since it means that all of the material on the slide will be real. BTW, this is a “comment”. You can either delete it or make it invisible with the “View” menu “comments” command
Steve Feiner:
This slide differs from the previous one in that it has a real graphical history, although not in the medical domain. It may be better, since it means that all of the material on the slide will be real. BTW, this is a “comment”. You can either delete it or make it invisible with the “View” menu “comments” command
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Key Issues: User InterfaceKey Issues: User Interface
Query augmentation using the patient Query augmentation using the patient recordrecord
Congestive Heart Failure (CHF), male, Base Heart Congestive Heart Failure (CHF), male, Base Heart Rate (BHR) > 90, history of ischemiaRate (BHR) > 90, history of ischemia
Lucent: speech, IBM: query refinement, Lucent: speech, IBM: query refinement, interface for image/video searchinterface for image/video search
b
Treatme CHFTreatme CHF
Amiodarone
Amiodarone
Amiodarone
Documents
Echocardiogram
Echo 7/15/98
Echo 8/15/98
Echo 9/15/98
Echo 10/15/98
SearchSearchAugmented query
Patientheart
sounds
AmiodaroneCHFmale
BHR > 90
NSF is planning to implement a new electronic project reporting system through which proposers will be able to produce the Results from Prior Support section ofthe proposal. This new system will be part of the NSF FastLane system and will permit updating of reports on each of the PI's NSF projects and will avoid re-entryof information previously provided by the PI, either with the original proposal submission or in updates provided usingting process and become the normal mechanism for project reporting to NS
NSF is planning to implement a new electronic project reporting system through which proposers will be able to produce the Results from Prior Support section ofthe proposal. This new system will be part of the NSF FastLane system and will permit updating of reports on each of the PI's NSF projects and will avoid re-en the normal mechanism for project reporting to NS
Antiarrhythmic Drugs
Database of Videos
Distributed Search
profile profile profile
Journal Articles
Categorization&
Filtering
Categorization&
Filtering
Methods:All patients hadadvanced CHF with ...
AmiodaroneCHFmale
BHR > 90
DiagnosisArticle
.
.
.
NSF is planning to implement a new electronic project reporting system through which proposers will be able to produce the Results from Prior Support section ofthe proposal. This new system will be part of the NSF FastLane system and will permit updating of reports on each of the PI's NSF projects and will avoid re-entryof information previously provided by the PI, either with the original proposal submission or in updates provided usingting process and become the normal mechanism for project reporting to NS
NSF is planning to implement a new electronic project reporting system through which proposers will be able to produce the Results from Prior Support section ofthe proposal. This new system will be part of the NSF FastLane system and will permit updating of reports on each of the PI's NSF projects and will avoid re-entryof information previously provided by the PI, either with the original proposal submission or in updates provided usingting process and become the normal mechanism for project reporting to NS
NSF is planning to implement a new electronic project reporting system through which proposers will be able to produce the Results from Prior Support section ofthe proposal. This new system will be part of the NSF FastLane system and will permit updating of reports on each of the PI's NSF projects and will avoid re-entryof information previously provided by the PI, either with the original proposal submission or in updates provided usingting process and become the normal mechanism for project reporting to NS
Amiodarone
Amiodarone
Amiodarone
Documents
NSF is planning to implement a new electronic project reporting system through which proposers will be able to produce the Results from Prior Support section ofthe proposal. This new system will be part of the NSF FastLane system and will permit updating of reports on each of the PI's NSF projects and will avoid re-entryof information previously provided by the PI, either with the original proposal submission or in updates provided usingting process and become the normal mechanism for project reporting to NS
Amiodarone
PrognosisArticle
PrognosisArticle
Target SummariesTarget Summaries
Prognosis articles:Prognosis articles:
amiodarone patient, BHR > 90amiodarone patient, BHR > 90
A significant reduction in sudden death was observed in A significant reduction in sudden death was observed in patients with a BHR > 90 beats/min treated with patients with a BHR > 90 beats/min treated with amiodaroneamiodarone
pacemaker patient, BHR pacemaker patient, BHR 90 90
In patients with a BHR In patients with a BHR 90 beats/min, amiodarone- 90 beats/min, amiodarone-treated patients had a mortality rate similar to those not treated patients had a mortality rate similar to those not treated with amiodarone. One article found that pacing treated with amiodarone. One article found that pacing fails to improve hemodynamic function, while another fails to improve hemodynamic function, while another showed a significantly better quality of life.showed a significantly better quality of life.
PERSIVAL Management Structure
Industry Partners
Klavans
Clinical Infrastructure
Cimino
Content and Library Team Klavans
Evaluation
Patel
Project Leader
McKeown
Technology Search
Gravano
User Interface
Johnson
Summarization
McKeown
PERSIVAL Management Structure
Industry Partners
Klavans
Clinical Infrastructure
Cimino
Content and Library Team Klavans
Evaluation
Patel
Project Leader
McKeown
Technology Search
Gravano
User Interface
Johnson
Summarization
McKeownK. McKeown
J. Klavans
PERSIVAL Management Structure
Industry Partners
Klavans
Clinical Infrastructure
Cimino
Content and Library Team Klavans
Evaluation
Patel
Project Leader
McKeown
Technology Search
Gravano
User Interface
Johnson
Summarization
McKeown
L. Gravano
S. Johnson
J. Cimino
S.-F. Chang
PERSIVAL Management Structure
Industry Partners
Klavans
Clinical Infrastructure
Cimino
Content and Library Team Klavans
Evaluation
Patel
Project Leader
McKeown
Technology Search
Gravano
User Interface
Johnson
Summarization
McKeown
S. Johnson
S. Feiner
S.-F. Chang
PERSIVAL Management Structure
Industry Partners
Klavans
Clinical Infrastructure
Cimino
Content and Library Team Klavans
Evaluation
Patel
Project Leader
McKeown
Technology Search
Gravano
User Interface
Johnson
Summarization
McKeown
K. McKeown
J. Klavans
V. Hatzivassiloglou
PERSIVAL Management Structure
Industry Partners
Klavans
Clinical Infrastructure
Cimino
Content and Library Team Klavans
Evaluation
Patel
Project Leader
McKeown
Technology Search
Gravano
User Interface
Johnson
Summarization
McKeown
J. Cimino
D. Jordan
C. Friedman
S. Johnson
PERSIVAL Management Structure
Industry Partners
Klavans
Clinical Infrastructure
Cimino
Content and Library Team Klavans
Evaluation
Patel
Project Leader
McKeown
Technology Search
Gravano
User Interface
Johnson
Summarization
McKeown
J. Cimino
D. Jordan
V. Patel
PERSIVAL Management Structure
Industry Partners
Klavans
Clinical Infrastructure
Cimino
Content and Library Team Klavans
Evaluation
Patel
Project Leader
McKeown
Technology Search
Gravano
User Interface
Johnson
Summarization
McKeown
P. Molholt
S. Jacobson
J. Klavans
E. La Rue
PERSIVAL Management Structure
Industry Partners
Klavans
Clinical Infrastructure
Cimino
Content and Library Team Klavans
Evaluation
Patel
Project Leader
McKeown
Technology Search
Gravano
User Interface
Johnson
Summarization
McKeown
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Role of Technology PartnersRole of Technology Partners
Lucent: Lucent: Spoken Language Dialogue Spoken Language Dialogue Systems (speaker independent)Systems (speaker independent)
IBM:IBM: Query refinement, evaluation, text Query refinement, evaluation, text summarization, interface for image/video summarization, interface for image/video searchsearch
GEGE: Concept based retrieval: Concept based retrieval
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New Partners and ChangesNew Partners and Changes
Siemens Corporate Research: grant for video Siemens Corporate Research: grant for video summarization integrating text/image, plus researcher timesummarization integrating text/image, plus researcher time
$68,680/year$68,680/year AT&T: grant to build our networking infrastructureAT&T: grant to build our networking infrastructure
$50,000$50,000 Welch Allyn: information and equipment, Medical Welch Allyn: information and equipment, Medical
Director’s time, cashDirector’s time, cash $35,000$35,000
GE Medical Systems: commitment to commercialization GE Medical Systems: commitment to commercialization of resultsof results
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PartnersPartnersPartner Contribution ValueGeneral Electric Software
Researcher$200,000 $15,000/year
TeamCompanies
IBM SoftwareResearcher
$50,000$110,000/year
Lucent SoftwareResearcherStudent Support
$25,000$125,000/year$201,286 over 5 years
Siemens Grant $25,000/yearResearcher $34,000/yearStudent Support $9,680/year
Libraries &Museums
New York PublicLibrary
Consumer HealthInformation Specialists
MOMA Grant, Image ProcessingTechnology
$10,000
Donating Bell Atlantic Authentication Services $115,000Companies Intel Computer Equipment $209,154 over 5 years
AT&T Grant, NetworkInfrastructure
$50,000
Steve Feiner:
IBM is more than just a software company; ditto Lucent, GE, etc. Why not just group companies together?
Steve Feiner:
IBM is more than just a software company; ditto Lucent, GE, etc. Why not just group companies together?
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PartnersPartners
Partner Contribution ValueHealthwise Consumer Health &
Software $10,000/year
ContentProviders
Lion Reef Images & Animation ofHeart
$30,000
OVID Technology Scientific Biomedical Data& Software
$15,000/year
Univ. of CA -San Francisco
Medical Images
Welch Allyn Information andequipmentMedical Director’s timeUnrestricted funds
$20,000
$10,000 $5,000
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Clinical Information SystemsClinical Information Systems
Clinical repository of coded and text dataClinical repository of coded and text data Medical Entities Dictionary serverMedical Entities Dictionary server Web-based access for clinicians (WebCIS)Web-based access for clinicians (WebCIS) Web-based access for patient (PatCIS)Web-based access for patient (PatCIS) Infrastructure handles security, application Infrastructure handles security, application
tracking, and evaluationtracking, and evaluation Architecture handles integration of Architecture handles integration of
componentscomponents
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Input for PERSIVALInput for PERSIVAL
Coded dataCoded data Natural language processingNatural language processing Medical Entities DictionaryMedical Entities Dictionary UMLSUMLS
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Web/PatCIS and Digital LibraryWeb/PatCIS and Digital Library
WebCIS/PatCIS
InfobuttonInformation
Resource
CIS MED
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Web/PatCIS and Digital LibraryWeb/PatCIS and Digital Library
WebCIS/PatCIS
InfobuttonInformation
Resource
QueryInterface
PERSIVAL
CIS MED
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UsersUsers
Clinical usersClinical users Columbia-Presbyterian Medical CenterColumbia-Presbyterian Medical Center New York HospitalNew York Hospital 37 affiliates37 affiliates
PatientsPatients Heart failureHeart failure Home diabetes telemonitoringHome diabetes telemonitoring High risk for heart attackHigh risk for heart attack Cancer patientsCancer patients
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Evaluation and User-Centered DesignEvaluation and User-Centered Design
Usability engineeringUsability engineering in situ and lab video recordingsin situ and lab video recordings
Evaluation of system components: Evaluation of system components: cognitive and quantitativecognitive and quantitative
Subjective assessment of search plus recall, Subjective assessment of search plus recall, precisionprecision
SurvivabilitySurvivability end-to-end evaluation, reduction of manual end-to-end evaluation, reduction of manual
intervention, training, university support of intervention, training, university support of applicationsapplications
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SummarySummary
Tailor search, presentation, and Tailor search, presentation, and summarization of online medical literaturesummarization of online medical literature
Exploit online patient record as user modelExploit online patient record as user model Patients and health care providersPatients and health care providers Multimodal access and presentation over Multimodal access and presentation over
multimedia resourcesmultimedia resources