SlideShare una empresa de Scribd logo
1 de 34
Project 4: Cognitive Information Design and Visualization
                             Presented by

                       Dr. Ben Shneiderman
        Catherine Plaisant   Jorge Herskovic   Todd Johnson
        Surreya Tarkan       Elmer Bernstram
        Tiffany Chao         Elis Markovitz
                             Chitra Shriram
Human-Computer Interaction has Strong Structures
Human-Computer Interaction has Strong Structures
History of EHR Interfaces &Tech Transfer




Lifelines (AMIA 1998)   www.cs.umd.edu/hcil/lifelines




                                                             Lifelines2 (CHI 2009 - IHI 2010) www.cs.umd.edu/hcil/lifefines2
                                                                    Now Integrated with i2b2 & BTRIS




LifeFlow (CHI 2011, IHI 2011 with Mayo) www.cs.umd.edu/hcil/lifeflow
Overall Goals of Project 4

Create framework & guidelines for designing
interactive information visualizations that provide
patient-centered cognitive support by enhancing
accessibility & understanding of patient data.

Short Term Goals:
    Focus on clinician-centered visualization tools that
    address national priorities.

    Lab & study tracking to ensure completion

    Medication Reconciliation
Initial efforts

Survey EHR visualizations

Build relationships
Workshops with partners & vendors

Create national interest in EHR usability
     ACM, UPA, HIMSS, InfoVis
                   article by Steve Lohr

See: www.cs.umd.edu/hcil/sharp
Lab & study tracking to ensure completion
  Sureyya Tarkan


Define tracking processes
   Assign temporal responsibility
   Define possible actions
   Predict expected duration

Generate User Interface from processes
  Enhance situation awareness
  Integrate follow-up actions with results
  Simplify rapid operations
  Provide retrospective analysis
Medication Reconciliation


A complex process:

     •Develop a list of current medications;
     •Develop a list of medications to be prescribed;
     •Compare the medications on the two lists
     •Make clinical decisions based on the comparison
     •Communicate the new list to appropriate caregivers and to the patient.


•http://www.ihs.gov/cio/ehr/index.cfm?module=medication_reconciliation
Example of Medication Lists




What is unique?    What is identical?   What is equivalent?
Existing tools




Limitations:   1. No or limited assistance
               2. Increases workload for the clinician.
               3. Usability problems
Levels of Equivalence
Levels of Equivalence




Bozzo Silva, P., Bernstam, E.,                                                                       S87
                                        Automated medication reconciliation and complexity of care
Markowitz, E., Johnson, T.,Zhang, J.,                                                                Wednesday, Oct. 26   Lincoln West
                                        transitions
Herskovic, J.                                                                                        8:50 – 9:10 AM
Two Designs - Demos

Tabular layout               Spatial Layout
Grouped rows = similarity    Closeness = similarity
MedRecon                     TwinList
MedRecon: semi automatic reconciliation
Eliz Markowitz, Elmer V. Bernstam, Jorge Herskovic, Jiajie Zhang, Todd R. Johnson

                                                                                              Video demo




                                                                                    Un-reconciled
                                                                                    medications
                                                                                    require clinician’s
                                                                                    selection or rejection



                                                                                    Identical medications
                                                                                    automatically reconciled
MedRecon:




Compatibility with hand held
devices ?
MedRecon: semi automatic reconciliation
Eliz Markowitz, Elmer V. Bernstam, Jorge Herskovic, Jiajie Zhang, Todd R. Johnson


                                                                                                                          Video demo




                                                                                                                Un-reconciled
                                                                                                                medications
                                                                                                                require clinician’s
                                                                                                                selection or rejection



                                                                                                                Identical medications
                                                                                                                automatically reconciled

 Markowitz, E., Bernstam, E.,
                                                                                    S87
 Herskovic, J., Zhang, J.,       Medication Reconciliation: Work Domain Ontology,
                                                                                    Wednesday, Oct. 26   Lincoln West         Paper
 Shneiderman, B, Plaisant, C.,   Prototype Development, and a Predictive Model
                                                                                    8:30 – 8:50 AM
 Johnson, T.
Twinlist
Tiffany Chao, Catherine Plaisant, Ben Shneideman
Based on class project of : Leo Claudino, Sameh Khamis, Ran Liu, Ben London, Jay Pujara
                            Students of CMSC734 Information Visualization class


                                                                             Presentations:
                                                                                HCIL symposium (200+ attendees)
                                                                                AMIA WISH tomorrow

                                                                             ”Best reconciliation app I have ever seen”
                                                                              Dr. Shawn Murphy, PartnersHealthcare & Harvard Medical
Twinlist
Tiffany Chao, Catherine Plaisant, Ben Shneiderman
Based on class project of : Leo Claudino, Sameh Khamis, Ran Liu, Ben London, Jay Pujara
                             UMD CMSC734 Information Visualization


                                                                             Presentations:
                                                                                HCIL symposium (200+ attendees)
                                                                                AMIA WISH tomorrow

                                                                             ”Best reconciliation app I have ever seen”
                                                                              Dr. Shawn Murphy, PartnersHealthcare & Harvard Medical
Systematic Yet Flexible HIT
                                     Eliz Markowitz

• Need balance between
  – Systematicity to ensure consistency, efficiency & safety
  – Flexibility to accommodate variability
• Hypothesis:
   Matching task & interface systematicity &
    flexibility improves efficiency & usability
• Goal: design guidelines

  Eliz Markowitz, MS, Jiajie Zhang, PhD, Elmer V. Bernstam, MD, PhD, and Todd R. Johnson, PhD
Systematic Yet Flexible HIT
                                Eliz Markowitz PhD Thesis
Example: SYF & Catheter Insertion




                                                •   384 total states
                                                     – 286 goal states
                                                •   13,004 paths to any state in which
                                                    the central line is inserted
                                                     – 1,680 paths to the ideal goal state
                                                     – Only 2 paths contain the appropriate
                                                       sequence of 9 actions
Reducing Wrong Patient Errors
     Meirav Taieb, Jyothi Vinjumur, Catherine Plaisant, Ben Shneiderman

With long lists, users may choose wrong item
 Poor visual design
 Inadequate feedback
 Lack of error prevention

Wrong patients, medications, lab tests

Test: 100 subjects with 4 treatments
        Photos (Y/N) & Animation (Y/N)
University Health Service
             Provider: Smead, John
Register    Your patient list:    Sex Age MedRec Birth Date   Admission Date   Attending Dr

Report       Culbertson, George    M 77 9845722 EMM 3/4/1934      6/11/2011    Connors, Greg
Request
             Culbertson, Susan     F 24   9887333 JDC 5/22/1987   6/11/2011    Schneider, Ben
Census
 History     Donder, Bill          M 21 9823244 EMM 6/4/1990      6/102011     Tabibi, Mary

 Discuss     Harris, Emily         F 24   9828970 DRD 5/22/1987   6/12/2011    Tabibi, Mary
Feedback
             Isaacson, Thomas      M 53   9845722 EMM 7/11/1958    6/11/2011   Connors, Greg
 Training
             Burchard, Susan       F 24   9887333 JDC 5/22/1987   6/12/2011    Schneider, Ben
 Privacy
  About      Culbertson, George    M 77 9823244 EMM 3/4/1934      6/11/2011    Connors, Greg

 Contact     Culbertson, Susan     F 24   9828970 DRD 5/22/1987   6/12/2011    Franks, George

Text size    Albertson, George     M 77 9845722 EMM 3/4/1934      6/11/2011    Schneider, Ben

 +    -      Burchard, Susan       F 24   9887333 JDC 5/22/1987   6/12/2011    Schneider, Ben

     ~
espagnol     Albertson, George     M 77 9823244 EMM 3/4/1934      6/11/2011    Tabibi, Mary

             Burchard, Susan       F 24   9828970 DRD 5/22/1987   6/12/2011    Schneider, Ben
University Health Service
             Patient: Culbertson, George
Register
Report      Rounds Report
Request      PT#: 0897709870987
Census       Sex:        M                  MR#: 9845722
 History     Birth date: 3/4/1934           Admit: 6/11/2011
 Discuss     Rm/Bed: EMM                    Attending: Connors, Greg
Feedback
 Training
 Privacy
              Blood Test     Electrocardiogram     MRI         CT Scan
  About
 Contact

Text size
 +    -

     ~
espagnol
University Health Service
             Patient: Culbertson, George
Register
Report      Rounds Report
Request      PT#: 0897709870987
Census       Sex:        M                  MR#: 9845722
 History     Birth date: 3/4/1934           Admit: 6/11/2011
 Discuss     Rm/Bed: EMM                    Attending: Connors, Greg
Feedback
 Training
 Privacy
              Blood Test     Electrocardiogram     MRI         CT Scan
  About
 Contact

Text size
 +    -
                  Blood Test Confirmed: Due back in 6 hours
     ~
espagnol
University Health Service
             Patient: Culbertson, George
Register
Report      Rounds Report
Request      PT#: 0897709870987
Census       Sex:        M                   MR#: 9845722
 History     Birth date: 3/4/1934            Admit: 6/11/2011
 Discuss     Rm/Bed: EMM                     Attending: Connors, Greg
Feedback
 Training
 Privacy
              Blood Test
              Blood Test     Electrocardiogram      MRI
                                                    MRI         CT Scan
                                                                CT Scan
  About                       Electrocardiogram
 Contact

Text size
 +    -

     ~
espagnol
University Health Service
             Patient: Culbertson, Susan
Register
Report      Rounds Report
Request      PT#: 0897709870987
Census       Sex:        F                MR#: 9845758
 History     Birth date:                  Admit: 6/11/2011
 Discuss     Rm/Bed: EMM                  Attending: Connors, Greg
Feedback
 Training
 Privacy
              Blood Test   Electrocardiogram     MRI         CT Scan
  About
 Contact

Text size
 +    -

     ~
espagnol
University Health Service
             Provider: Smead, John
Register    Your patient list:    Sex Age MedRec Birth Date   Admission Date   Attending Dr

Report       Culbertson, George    M 77 9845722 EMM 3/4/1934      6/11/2011    Connors, Greg
Request
             Culbertson, Susan     F 24   9887333 JDC 5/22/1987   6/11/2011    Schneider, Ben
Census
 History     Donder, Bill          M 21 9823244 EMM 6/4/1990      6/102011     Tabibi, Mary

 Discuss     Harris, Emily         F 24   9828970 DRD 5/22/1987   6/12/2011    Tabibi, Mary
Feedback
             Isaacson, Thomas      M 53   9845722 EMM 7/11/1958    6/11/2011   Connors, Greg
 Training
             Burchard, Susan       F 24   9887333 JDC 5/22/1987   6/12/2011    Schneider, Ben
 Privacy
  About      Culbertson, George    M 77 9823244 EMM 3/4/1934      6/11/2011    Connors, Greg

 Contact     Culbertson, Susan     F 24   9828970 DRD 5/22/1987   6/12/2011    Franks, George

Text size    Albertson, George     M 77 9845722 EMM 3/4/1934      6/11/2011    Schneider, Ben

 +    -      Burchard, Susan       F 24   9887333 JDC 5/22/1987   6/12/2011    Schneider, Ben

     ~
espagnol     Albertson, George     M 77 9823244 EMM 3/4/1934      6/11/2011    Tabibi, Mary

             Burchard, Susan       F 24   9828970 DRD 5/22/1987   6/12/2011    Schneider, Ben
University Health Service
             Provider: Smead, John
Register    Your patient list:    Sex Age MedRec Birth Date   Admission Date   Attending Dr

Report
Request
Census
 History
 Discuss
Feedback
 Training
 Privacy
  About      Culbertson, George    M 77 9823244 EMM 3/4/1934      6/11/2011    Connors, Greg

 Contact

Text size
 +    -

     ~
espagnol
Culbertson, George
Register
Report
Request
Census
 History
 Discuss
Feedback
 Training
 Privacy
  About
 Contact

Text size
 +    -

     ~
espagnol
University Health Service
             Patient: Culbertson, George
Register
Report      Rounds Report
Request      PT#: 0897709870987
Census       Sex:        M                  MR#: 9845722
 History     Birth date: 3/4/1934           Admit: 6/11/2011
 Discuss     Rm/Bed: EMM                    Attending: Connors, Greg
Feedback
 Training
 Privacy
              Blood Test     Electrocardiogram     MRI         CT Scan
  About
 Contact

Text size
 +    -

     ~
espagnol
Student spinoff projects
MoodTracker
Next?
• Two PhD theses emerging
   - Lab tracking & Systematic Yet Flexible Framework

• Nov/Dec special section of ACM Interactions
  - Includes paper by Siemens/Allscripts

• Presentations to corporate designers
• Users studies & clinician reviews
• Comparative analyses & guidelines
Project 4: Cognitive Information Design and Visualization
         Thanks for support (#10510592) from:
       Office of the National Coordinator
Strategic Health IT Advanced Research Projects
              Pre-doctoral training fellowship:
      Agency for Healthcare Research and Quality

Más contenido relacionado

Similar a Project 4: Cognitive Information Design and Visualization

Evidence Based Medicine and CAM: A Review
Evidence Based Medicine and CAM: A ReviewEvidence Based Medicine and CAM: A Review
Evidence Based Medicine and CAM: A Review
Dominick Maino
 
Medicine 2.0 for the Emergency Department & Public Health - Beyond the Basics
Medicine 2.0 for the Emergency Department & Public Health - Beyond the BasicsMedicine 2.0 for the Emergency Department & Public Health - Beyond the Basics
Medicine 2.0 for the Emergency Department & Public Health - Beyond the Basics
nickgenes
 
Case Study 14–7Conflict-Handling StylesFor each of the five scen.docx
Case Study 14–7Conflict-Handling StylesFor each of the five scen.docxCase Study 14–7Conflict-Handling StylesFor each of the five scen.docx
Case Study 14–7Conflict-Handling StylesFor each of the five scen.docx
wendolynhalbert
 
Emerging collaboration models for academic medical centers _ our place in the...
Emerging collaboration models for academic medical centers _ our place in the...Emerging collaboration models for academic medical centers _ our place in the...
Emerging collaboration models for academic medical centers _ our place in the...
Rick Silva
 
h 23 (2010) 30–35www.elsevier.comlocateapnrApplied Nur.docx
h 23 (2010) 30–35www.elsevier.comlocateapnrApplied Nur.docxh 23 (2010) 30–35www.elsevier.comlocateapnrApplied Nur.docx
h 23 (2010) 30–35www.elsevier.comlocateapnrApplied Nur.docx
whittemorelucilla
 
As the largest health care workforce group, nurses are well suit.docx
As the largest health care workforce group, nurses are well suit.docxAs the largest health care workforce group, nurses are well suit.docx
As the largest health care workforce group, nurses are well suit.docx
bob8allen25075
 

Similar a Project 4: Cognitive Information Design and Visualization (20)

Evidence Based Medicine and CAM: A Review
Evidence Based Medicine and CAM: A ReviewEvidence Based Medicine and CAM: A Review
Evidence Based Medicine and CAM: A Review
 
BioVariance Services Flyer
BioVariance Services FlyerBioVariance Services Flyer
BioVariance Services Flyer
 
Ethics of Artificial Intelligence in Medicine
Ethics of Artificial Intelligence in MedicineEthics of Artificial Intelligence in Medicine
Ethics of Artificial Intelligence in Medicine
 
Interdisciplinarity and complexity as opportunities for research innovation i...
Interdisciplinarity and complexity as opportunities for research innovation i...Interdisciplinarity and complexity as opportunities for research innovation i...
Interdisciplinarity and complexity as opportunities for research innovation i...
 
Medicine 2.0 for the Emergency Department & Public Health - Beyond the Basics
Medicine 2.0 for the Emergency Department & Public Health - Beyond the BasicsMedicine 2.0 for the Emergency Department & Public Health - Beyond the Basics
Medicine 2.0 for the Emergency Department & Public Health - Beyond the Basics
 
ποιοτητα στην-ορθοπεδικη
ποιοτητα στην-ορθοπεδικηποιοτητα στην-ορθοπεδικη
ποιοτητα στην-ορθοπεδικη
 
Friend NAS 2013-01-10
Friend NAS 2013-01-10Friend NAS 2013-01-10
Friend NAS 2013-01-10
 
Mining public domain data as a basis for drug repurposing
Mining public domain data as a basis for drug repurposingMining public domain data as a basis for drug repurposing
Mining public domain data as a basis for drug repurposing
 
Health Care Stories are Good for You
Health Care Stories are Good for YouHealth Care Stories are Good for You
Health Care Stories are Good for You
 
Precision Guided Surgery
Precision Guided SurgeryPrecision Guided Surgery
Precision Guided Surgery
 
Evidence based med
Evidence based medEvidence based med
Evidence based med
 
How to assess evidence
How to assess evidenceHow to assess evidence
How to assess evidence
 
A review of use of enantiomers in homeopathy
A review of use of enantiomers in homeopathyA review of use of enantiomers in homeopathy
A review of use of enantiomers in homeopathy
 
San sebastian mechanisms
San sebastian mechanismsSan sebastian mechanisms
San sebastian mechanisms
 
Smart Content AAP PSP 2012 02-01 rev 1
Smart Content AAP PSP 2012 02-01 rev 1Smart Content AAP PSP 2012 02-01 rev 1
Smart Content AAP PSP 2012 02-01 rev 1
 
Case Study 14–7Conflict-Handling StylesFor each of the five scen.docx
Case Study 14–7Conflict-Handling StylesFor each of the five scen.docxCase Study 14–7Conflict-Handling StylesFor each of the five scen.docx
Case Study 14–7Conflict-Handling StylesFor each of the five scen.docx
 
Emerging collaboration models for academic medical centers _ our place in the...
Emerging collaboration models for academic medical centers _ our place in the...Emerging collaboration models for academic medical centers _ our place in the...
Emerging collaboration models for academic medical centers _ our place in the...
 
h 23 (2010) 30–35www.elsevier.comlocateapnrApplied Nur.docx
h 23 (2010) 30–35www.elsevier.comlocateapnrApplied Nur.docxh 23 (2010) 30–35www.elsevier.comlocateapnrApplied Nur.docx
h 23 (2010) 30–35www.elsevier.comlocateapnrApplied Nur.docx
 
Measuring and Improving Decision Quality
Measuring and Improving Decision QualityMeasuring and Improving Decision Quality
Measuring and Improving Decision Quality
 
As the largest health care workforce group, nurses are well suit.docx
As the largest health care workforce group, nurses are well suit.docxAs the largest health care workforce group, nurses are well suit.docx
As the largest health care workforce group, nurses are well suit.docx
 

Más de University of Maryland

Más de University of Maryland (14)

Hc ai-asu-dc-shneiderman-3-13-2020-v28
Hc ai-asu-dc-shneiderman-3-13-2020-v28Hc ai-asu-dc-shneiderman-3-13-2020-v28
Hc ai-asu-dc-shneiderman-3-13-2020-v28
 
Info vis 12-2012-v17-shneiderman
Info vis 12-2012-v17-shneidermanInfo vis 12-2012-v17-shneiderman
Info vis 12-2012-v17-shneiderman
 
NFAIS-Social Discovery in an Information Abundant World
NFAIS-Social Discovery in an Information Abundant WorldNFAIS-Social Discovery in an Information Abundant World
NFAIS-Social Discovery in an Information Abundant World
 
Information Visualization: See Patterns, Gain Insights & Make Decisions
Information Visualization: See Patterns, Gain Insights & Make DecisionsInformation Visualization: See Patterns, Gain Insights & Make Decisions
Information Visualization: See Patterns, Gain Insights & Make Decisions
 
Group-In-a-Box Layout for Multi-faceted Analysis of Communities
Group-In-a-Box Layout for Multi-faceted Analysis of CommunitiesGroup-In-a-Box Layout for Multi-faceted Analysis of Communities
Group-In-a-Box Layout for Multi-faceted Analysis of Communities
 
Google nyc-6-3-2011
Google nyc-6-3-2011Google nyc-6-3-2011
Google nyc-6-3-2011
 
Managing Social Dynamics for Collective Intelligence
Managing Social Dynamics for Collective IntelligenceManaging Social Dynamics for Collective Intelligence
Managing Social Dynamics for Collective Intelligence
 
Information Visualization for Social Network Analysis,
 Information Visualization for Social Network Analysis,  Information Visualization for Social Network Analysis,
Information Visualization for Social Network Analysis,
 
Information Visualization for Medical Informatics
Information Visualization for Medical Informatics Information Visualization for Medical Informatics
Information Visualization for Medical Informatics
 
Info vis 4-2012-part1
Info vis 4-2012-part1Info vis 4-2012-part1
Info vis 4-2012-part1
 
Sharpc 2012 annual meeting proj4 final
Sharpc 2012 annual meeting proj4 finalSharpc 2012 annual meeting proj4 final
Sharpc 2012 annual meeting proj4 final
 
Ieee social com-groupinabox-v2
Ieee social com-groupinabox-v2Ieee social com-groupinabox-v2
Ieee social com-groupinabox-v2
 
TMSP Nation of Neigbors-feb14-v8
TMSP Nation of Neigbors-feb14-v8TMSP Nation of Neigbors-feb14-v8
TMSP Nation of Neigbors-feb14-v8
 
Nfais social discovery-v5
Nfais social discovery-v5Nfais social discovery-v5
Nfais social discovery-v5
 

Último

Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
ciinovamais
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
QucHHunhnh
 
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
ZurliaSoop
 

Último (20)

How to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POSHow to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POS
 
Micro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfMicro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdf
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
Dyslexia AI Workshop for Slideshare.pptx
Dyslexia AI Workshop for Slideshare.pptxDyslexia AI Workshop for Slideshare.pptx
Dyslexia AI Workshop for Slideshare.pptx
 
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
 
Asian American Pacific Islander Month DDSD 2024.pptx
Asian American Pacific Islander Month DDSD 2024.pptxAsian American Pacific Islander Month DDSD 2024.pptx
Asian American Pacific Islander Month DDSD 2024.pptx
 
ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701
 
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
 
Third Battle of Panipat detailed notes.pptx
Third Battle of Panipat detailed notes.pptxThird Battle of Panipat detailed notes.pptx
Third Battle of Panipat detailed notes.pptx
 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
 
General Principles of Intellectual Property: Concepts of Intellectual Proper...
General Principles of Intellectual Property: Concepts of Intellectual  Proper...General Principles of Intellectual Property: Concepts of Intellectual  Proper...
General Principles of Intellectual Property: Concepts of Intellectual Proper...
 
PROCESS RECORDING FORMAT.docx
PROCESS      RECORDING        FORMAT.docxPROCESS      RECORDING        FORMAT.docx
PROCESS RECORDING FORMAT.docx
 
How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17
 
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17  How to Extend Models Using Mixin ClassesMixin Classes in Odoo 17  How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
 
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
 
Unit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxUnit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptx
 
Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptx
 

Project 4: Cognitive Information Design and Visualization

  • 1. Project 4: Cognitive Information Design and Visualization Presented by Dr. Ben Shneiderman Catherine Plaisant Jorge Herskovic Todd Johnson Surreya Tarkan Elmer Bernstram Tiffany Chao Elis Markovitz Chitra Shriram
  • 2. Human-Computer Interaction has Strong Structures
  • 3. Human-Computer Interaction has Strong Structures
  • 4. History of EHR Interfaces &Tech Transfer Lifelines (AMIA 1998) www.cs.umd.edu/hcil/lifelines Lifelines2 (CHI 2009 - IHI 2010) www.cs.umd.edu/hcil/lifefines2 Now Integrated with i2b2 & BTRIS LifeFlow (CHI 2011, IHI 2011 with Mayo) www.cs.umd.edu/hcil/lifeflow
  • 5. Overall Goals of Project 4 Create framework & guidelines for designing interactive information visualizations that provide patient-centered cognitive support by enhancing accessibility & understanding of patient data. Short Term Goals: Focus on clinician-centered visualization tools that address national priorities. Lab & study tracking to ensure completion Medication Reconciliation
  • 6. Initial efforts Survey EHR visualizations Build relationships Workshops with partners & vendors Create national interest in EHR usability ACM, UPA, HIMSS, InfoVis article by Steve Lohr See: www.cs.umd.edu/hcil/sharp
  • 7. Lab & study tracking to ensure completion Sureyya Tarkan Define tracking processes Assign temporal responsibility Define possible actions Predict expected duration Generate User Interface from processes Enhance situation awareness Integrate follow-up actions with results Simplify rapid operations Provide retrospective analysis
  • 8. Medication Reconciliation A complex process: •Develop a list of current medications; •Develop a list of medications to be prescribed; •Compare the medications on the two lists •Make clinical decisions based on the comparison •Communicate the new list to appropriate caregivers and to the patient. •http://www.ihs.gov/cio/ehr/index.cfm?module=medication_reconciliation
  • 9. Example of Medication Lists What is unique? What is identical? What is equivalent?
  • 10. Existing tools Limitations: 1. No or limited assistance 2. Increases workload for the clinician. 3. Usability problems
  • 12. Levels of Equivalence Bozzo Silva, P., Bernstam, E., S87 Automated medication reconciliation and complexity of care Markowitz, E., Johnson, T.,Zhang, J., Wednesday, Oct. 26 Lincoln West transitions Herskovic, J. 8:50 – 9:10 AM
  • 13. Two Designs - Demos Tabular layout Spatial Layout Grouped rows = similarity Closeness = similarity MedRecon TwinList
  • 14. MedRecon: semi automatic reconciliation Eliz Markowitz, Elmer V. Bernstam, Jorge Herskovic, Jiajie Zhang, Todd R. Johnson Video demo Un-reconciled medications require clinician’s selection or rejection Identical medications automatically reconciled
  • 16. MedRecon: semi automatic reconciliation Eliz Markowitz, Elmer V. Bernstam, Jorge Herskovic, Jiajie Zhang, Todd R. Johnson Video demo Un-reconciled medications require clinician’s selection or rejection Identical medications automatically reconciled Markowitz, E., Bernstam, E., S87 Herskovic, J., Zhang, J., Medication Reconciliation: Work Domain Ontology, Wednesday, Oct. 26 Lincoln West Paper Shneiderman, B, Plaisant, C., Prototype Development, and a Predictive Model 8:30 – 8:50 AM Johnson, T.
  • 17. Twinlist Tiffany Chao, Catherine Plaisant, Ben Shneideman Based on class project of : Leo Claudino, Sameh Khamis, Ran Liu, Ben London, Jay Pujara Students of CMSC734 Information Visualization class Presentations: HCIL symposium (200+ attendees) AMIA WISH tomorrow ”Best reconciliation app I have ever seen” Dr. Shawn Murphy, PartnersHealthcare & Harvard Medical
  • 18.
  • 19. Twinlist Tiffany Chao, Catherine Plaisant, Ben Shneiderman Based on class project of : Leo Claudino, Sameh Khamis, Ran Liu, Ben London, Jay Pujara UMD CMSC734 Information Visualization Presentations: HCIL symposium (200+ attendees) AMIA WISH tomorrow ”Best reconciliation app I have ever seen” Dr. Shawn Murphy, PartnersHealthcare & Harvard Medical
  • 20. Systematic Yet Flexible HIT Eliz Markowitz • Need balance between – Systematicity to ensure consistency, efficiency & safety – Flexibility to accommodate variability • Hypothesis: Matching task & interface systematicity & flexibility improves efficiency & usability • Goal: design guidelines Eliz Markowitz, MS, Jiajie Zhang, PhD, Elmer V. Bernstam, MD, PhD, and Todd R. Johnson, PhD
  • 21. Systematic Yet Flexible HIT Eliz Markowitz PhD Thesis Example: SYF & Catheter Insertion • 384 total states – 286 goal states • 13,004 paths to any state in which the central line is inserted – 1,680 paths to the ideal goal state – Only 2 paths contain the appropriate sequence of 9 actions
  • 22. Reducing Wrong Patient Errors Meirav Taieb, Jyothi Vinjumur, Catherine Plaisant, Ben Shneiderman With long lists, users may choose wrong item Poor visual design Inadequate feedback Lack of error prevention Wrong patients, medications, lab tests Test: 100 subjects with 4 treatments Photos (Y/N) & Animation (Y/N)
  • 23. University Health Service Provider: Smead, John Register Your patient list: Sex Age MedRec Birth Date Admission Date Attending Dr Report Culbertson, George M 77 9845722 EMM 3/4/1934 6/11/2011 Connors, Greg Request Culbertson, Susan F 24 9887333 JDC 5/22/1987 6/11/2011 Schneider, Ben Census History Donder, Bill M 21 9823244 EMM 6/4/1990 6/102011 Tabibi, Mary Discuss Harris, Emily F 24 9828970 DRD 5/22/1987 6/12/2011 Tabibi, Mary Feedback Isaacson, Thomas M 53 9845722 EMM 7/11/1958 6/11/2011 Connors, Greg Training Burchard, Susan F 24 9887333 JDC 5/22/1987 6/12/2011 Schneider, Ben Privacy About Culbertson, George M 77 9823244 EMM 3/4/1934 6/11/2011 Connors, Greg Contact Culbertson, Susan F 24 9828970 DRD 5/22/1987 6/12/2011 Franks, George Text size Albertson, George M 77 9845722 EMM 3/4/1934 6/11/2011 Schneider, Ben + - Burchard, Susan F 24 9887333 JDC 5/22/1987 6/12/2011 Schneider, Ben ~ espagnol Albertson, George M 77 9823244 EMM 3/4/1934 6/11/2011 Tabibi, Mary Burchard, Susan F 24 9828970 DRD 5/22/1987 6/12/2011 Schneider, Ben
  • 24. University Health Service Patient: Culbertson, George Register Report Rounds Report Request PT#: 0897709870987 Census Sex: M MR#: 9845722 History Birth date: 3/4/1934 Admit: 6/11/2011 Discuss Rm/Bed: EMM Attending: Connors, Greg Feedback Training Privacy Blood Test Electrocardiogram MRI CT Scan About Contact Text size + - ~ espagnol
  • 25. University Health Service Patient: Culbertson, George Register Report Rounds Report Request PT#: 0897709870987 Census Sex: M MR#: 9845722 History Birth date: 3/4/1934 Admit: 6/11/2011 Discuss Rm/Bed: EMM Attending: Connors, Greg Feedback Training Privacy Blood Test Electrocardiogram MRI CT Scan About Contact Text size + - Blood Test Confirmed: Due back in 6 hours ~ espagnol
  • 26. University Health Service Patient: Culbertson, George Register Report Rounds Report Request PT#: 0897709870987 Census Sex: M MR#: 9845722 History Birth date: 3/4/1934 Admit: 6/11/2011 Discuss Rm/Bed: EMM Attending: Connors, Greg Feedback Training Privacy Blood Test Blood Test Electrocardiogram MRI MRI CT Scan CT Scan About Electrocardiogram Contact Text size + - ~ espagnol
  • 27. University Health Service Patient: Culbertson, Susan Register Report Rounds Report Request PT#: 0897709870987 Census Sex: F MR#: 9845758 History Birth date: Admit: 6/11/2011 Discuss Rm/Bed: EMM Attending: Connors, Greg Feedback Training Privacy Blood Test Electrocardiogram MRI CT Scan About Contact Text size + - ~ espagnol
  • 28. University Health Service Provider: Smead, John Register Your patient list: Sex Age MedRec Birth Date Admission Date Attending Dr Report Culbertson, George M 77 9845722 EMM 3/4/1934 6/11/2011 Connors, Greg Request Culbertson, Susan F 24 9887333 JDC 5/22/1987 6/11/2011 Schneider, Ben Census History Donder, Bill M 21 9823244 EMM 6/4/1990 6/102011 Tabibi, Mary Discuss Harris, Emily F 24 9828970 DRD 5/22/1987 6/12/2011 Tabibi, Mary Feedback Isaacson, Thomas M 53 9845722 EMM 7/11/1958 6/11/2011 Connors, Greg Training Burchard, Susan F 24 9887333 JDC 5/22/1987 6/12/2011 Schneider, Ben Privacy About Culbertson, George M 77 9823244 EMM 3/4/1934 6/11/2011 Connors, Greg Contact Culbertson, Susan F 24 9828970 DRD 5/22/1987 6/12/2011 Franks, George Text size Albertson, George M 77 9845722 EMM 3/4/1934 6/11/2011 Schneider, Ben + - Burchard, Susan F 24 9887333 JDC 5/22/1987 6/12/2011 Schneider, Ben ~ espagnol Albertson, George M 77 9823244 EMM 3/4/1934 6/11/2011 Tabibi, Mary Burchard, Susan F 24 9828970 DRD 5/22/1987 6/12/2011 Schneider, Ben
  • 29. University Health Service Provider: Smead, John Register Your patient list: Sex Age MedRec Birth Date Admission Date Attending Dr Report Request Census History Discuss Feedback Training Privacy About Culbertson, George M 77 9823244 EMM 3/4/1934 6/11/2011 Connors, Greg Contact Text size + - ~ espagnol
  • 30. Culbertson, George Register Report Request Census History Discuss Feedback Training Privacy About Contact Text size + - ~ espagnol
  • 31. University Health Service Patient: Culbertson, George Register Report Rounds Report Request PT#: 0897709870987 Census Sex: M MR#: 9845722 History Birth date: 3/4/1934 Admit: 6/11/2011 Discuss Rm/Bed: EMM Attending: Connors, Greg Feedback Training Privacy Blood Test Electrocardiogram MRI CT Scan About Contact Text size + - ~ espagnol
  • 33. Next? • Two PhD theses emerging - Lab tracking & Systematic Yet Flexible Framework • Nov/Dec special section of ACM Interactions - Includes paper by Siemens/Allscripts • Presentations to corporate designers • Users studies & clinician reviews • Comparative analyses & guidelines
  • 34. Project 4: Cognitive Information Design and Visualization Thanks for support (#10510592) from: Office of the National Coordinator Strategic Health IT Advanced Research Projects Pre-doctoral training fellowship: Agency for Healthcare Research and Quality