9:45 a.m. – 10:45 a.m.
S01: Integrating Quality and Workflow
Quality in Action: Adapting Quality Measures for Realtime Guidance
A. Simms, Cognitive Medical Systems/University of Washington; R. Reston, Cognitive Medical Systems
From Pathway to Bedside: Integrating Clinical Informatics in Quality Improvement
E. Shelov, The Children's Hospital of Philadelphia
How am I doing? Online, Interactive Quality Measures for Clinicians
M. Weiner, E. Lee, Lewis Katz School of Medicine at Temple University
S02: Standards and Best Practices for EHR Implementations
Come Together: Lessons Learned from a Health System EHR Migration and Proposal for Sharing Implementation Best Practices
View the video abstract
J. McGreevey, University of Pennsylvania Health System/Perelman School of Medicine at the University of Pennsylvania
Seize the Moment: Promotion of Lean Principles in Moving from Paper to Electronic Provider Documentation at an Academic Medical Center
View the video abstract
K. Xu, J. McGreevey, J. Betesh, University of Pennsylvania
Maintaining EHR Standards in a Complex Deployment
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K. Woeltje, M. Lozovatsky, BJC HealthCare/Washington University School of Medicine; S. Bhayani, Washington University School of Medicine; T. Bryant, BJC HealthCare; G. Cislo, BJC HealthCare/Washington University School of Medicine; J. Krettek, BJC HealthCare; K. O'Bryan, BJC HealthCare/Washington University School of Medicine; M. Thomas, BJC HealthCare
S04: Evidence-based Care Improvement
Article Relationship Visualization to Support Evidence-based Practice & Knowledge Discovery
P. Yen, Washington University in St Louis/Goldfarb School of Nursing/BJC HealthCare; X. Ji, R. Machiraju, A. Ritter, The Ohio State University
Characterizing Cutaneous Lupus Erythematosus with Meta-Analysis Using STARGEO
O. El-Sayed, University of Illinois at Chicago; L. Safeer, Baylor University; J. Aljabban, The Ohio State University; I. Aljabban, Pennsylvania State University; M. Panahiazar, I. Neuhaus, D. Hadley, University of California San Francisco
Digital Health Innovation System Integration Assessment: A Methodology for Streamlined Early-stage Evaluation
B. Griffin, L. Kelley, L. Desveaux, P. Agarwal, Women's College Hospital, University of Toronto; R. Bhatia, Women's College Hospital, University of Toronto University Health Network; T. Jamieson, Women's College Hospital, University of Toronto/St. Michael's Hospital
11:00 a.m. – 12:00 p.m.
S05: Clinical Decision Support Embedded Predictive Models
Validating Clinic Workflow Models for Prediction
R. Fricks, Duke University; M. Veihl, H. Tseng, Duke University Health System; K. Trivedi, R. Barr, Duke University
Patient-specific Explanations from Risk Prediction Models
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M. Tajgardoon, S. Visweswaran, University of Pittsburgh
Leveraging Electronic Health Record Data to Predict Surgery Cancellation
L. Liu, N. Zhang, Y. Ni, N. Pratap, Cincinnati Children's Hospital Medical Center
S06: Informatics Application and Research to Enhance Surgical Practice
Adapting Technology Into the Surgical Environment
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A. Langerman, Vanderbilt University Medical Center
EHR Needs of the Surgical Subspecialist: Insights From System Selection
S. Haque, RTI International; E. Haque, Queen City Plastic Surgery
Challenges of Electronic Health Record Transition for Surgical Services: A Qualitative Observational Study of “Go Live”
M. Shroder, Vanderbilt University School of Medicine/Surgical Outcomes Center for Kids; K. Unertl, S. Anders, L. Novak, N. Lorenzi, G. Jackson, Vanderbilt University Medical Center
S08: Bridging Analytics
POKE-R: Reducing Patient Harm
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J. McGlothlin, Fusion Consulting Inc./Loma Linda University Health System; E. Crawford, Fusion Consulting Inc.
The Clinical Informatics Fellowship Experience: A Qualitative Analysis (qACIF)
B. Orwoll, A. Chintalapani, J. Ash, Oregon Health & Science University
Interdisciplinary Development of Palliative Care EHR Decision Support
R. Bush, University of San Diego; C. Etland, University of San Diego/Sharp Health Care System; T. Baum, J. Georges, C. Connelly, University of San Diego
2:30 p.m. – 3:30 p.m.
S09: Clinical Decision Support - Trends in Optimization
Optimize Up: Using Analytics for Clinical Decision Support Optimization
A. Mohammad Sirajuddin, Memorial Hermann Health System; M. Stanosheck, Cerner Corporation
An Evaluation of Clinical Order Patterns Machine-learned From Clinician Cohorts Stratified by Observed Versus Expected 30-Day Mortality Rates
J. Wang, J. Hom, A. Schuler, N. Shah, M. Goldstein, M. Baiocchi, J. Chen, Stanford University
Developing a Learning Electronic Medical Record System
S. Visweswaran, University of Pittsburgh
S10: Collaboration, Pathways and Training in EHR Implementations
Using a Cloud-based Collaboration and Dissemination Platform to Support the Implementation of an Evidence-based Clinical Pathway Program Across a Multi-Entity Academic Healthcare System
N. Mull, E. Flores, B. Leas, M. Mitchell, J. Lavenberg, N. Patel, A. Williams, C. Umscheid, University of Pennsylvania Health System
Built-in Care Pathways and Optimization of Electronic Medical Record System for Efficient Throughput at a High-Volume Academic Medical Institution
R. Ohkuma, P. Krishna, S. Sigurdsson, A. Wilson, M. Armand, Stanford Health Care; A. Lu, N. Tang, Stanford Health Care/Stanford University School of Medicine
Evaluation of a Peer Training Model for Electronic Health Record System Implementation
W. Lancaster, D. Mize, C. Lehmann, N. Patel, Vanderbilt University Medical Center
S12: mHealth Solutions for Screening, Communication, and Disease Management
Digital Drawing Platform for Early Dementia Screening
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K. Tsoi, M. Lam, M. Wong, The Chinese University of Hong Kong
Increasing Efficiency and Enabling Innovation by Implementing Secure Text Messaging Application for Communication and Coordinating Patient Care
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N. Patel, K. Choi, University of Pennsylvania Health System
Practical Apps: A Framework to Assess the Quality of Mobile Health Apps for Chronic Disease Management
P. Agarwal, Women's College Hospital; J. Griffith, Women's College Hospital, Institute of Medical Science, University of Toronto; X. Yin, Women's College Hospital/Johns Hopkins Bloomberg School of Public Health; J. Shaw, O. Bhattacharyya, Women's College Hospital, Institute for Health Policy, Management and Evaluation, University of Toronto; T. Jamieson, Women's College Hospital; R. Bhatia, Women's College Hospital, Institute for Health Policy, Management and Evaluation, University of Toronto
4:00 p.m. – 5:00 p.m.
S13: Healthcare Big Data Analytics
Governing Predictive and Prescriptive Models: Adding the Right People and Processes to Technology
F. Ahmed, J. Fahrenbach, M. Churpek, The University of Chicago Medicine; E. Lowder, Comer Children's Hospital; H. Nelson, M. Wall, The University Of Chicago Medicine
Using a Validated Predictive Analytics Model for Early Detection of Patients with Sepsis
G. Moyer, C. Hu, Legacy Health
Progression of a Quality Scorecard Leveraging Informatics Tools
M. Connolly, M. Springman, M. Wall, University of Chicago Medicine
S14: Infrastructure and Frameworks for Successful Implementations
Application of an Evidence-based Adoption Framework: Practical Implementation Tools for Clinical Operations
B. Lesselroth, VA Portland Healthcare System/Oregon Health Sciences University; K. Adams, VA Portland Healthcare System; G. Mastarone, VA Portland Healthcare System/Oregon Health Sciences University; V. Church, VA Portland Healthcare System; P. Holahan, Stevens Institute of Technology; T. Lovejoy, VA Portland Healthcare System/Oregon Health Sciences University
Creating the Data Infrastructure to Support Mobile Health and Telehealth Initiatives
C. Hollweg, University of Arizona College of Medicine
Use Cases for a WiFi Connected Internet of Things Button in an Academic Medical Center
H. Zhang, Brigham and Women's Hospital/Dana-Farber Cancer Institute; P. Chai, E. Boyer, A. Landman, Brigham and Women's Hospital
S16: Care Coordination and Communication
Improving Care Coordination for Children With Autism Spectrum Disorder: Defining Care Team Members’ Information Needs
J. ORourke, L. Nowinski, Y. Howe, C. McDougle, MGH, Harvard Medical School
Challenges to Care Coordination for Children with Special Health Care Needs: Potential Solutions
A. Lyles, E. Reifsnider, Arizona State University; D. Bailey, Arizona Department of Health Services; G. Caputo, G. Lamb, Arizona State University; W. Bernatavicius, Phoenix Children’s Hospital; B. Doebbeling, Arizona State University/Mayo Clinic
Accuracy of Patient Self-report of 90-day Post-discharge Healthcare Utilization and Complications: Relevance to Value Based Care
B. Rosner, HealthLoop, Inc., Kaiser Permanente; M. Gottlieb, Anthem, Inc.; W. Anderson, Independent Consultant
8:00 a.m. – 9:00 a.m.
S17: Decision Support for Clinical Screening
Cancer Patient Trial Matching Assisted by An Efficient Automated Pre-Screening Application
H. Le, J. Zeng, C. Beer, S. Montez, D. Sanders, J. Gong, Y. Jiang, S. Yanga, K. Marcelo, D. Hong, F. Meric-Bernstam, The University of Texas MD Anderson Cancer Center
The Power of Two: Rapid Screening and Intervening Combining Clinical Decision Support (CDS) Tools and Nurse-driven Protocols to Effectively Evaluate Patients for High Risk Conditions and Potential Interventions at Hospital Admission
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C. Mallozzi, J. McGreevey, D. Stabile, University of Pennsylvania Health System
StartSmartTM: Decision Support Technology for Prenatal Screening
B. Gance-Cleveland, University of Colorado; K. Gilbert, HeartSmartKids LLC; J. Leiferman, Colorado School of Public Health; M. Ozkaynak, H. Aldrich, T. Hernandez, University of Colorado
S18: Supporting Best Practices
Tracking and Managing Abnormal Mammograms with SMART
C. Cusack, Veterans Health Administration/Insight Informatics; C. Williams, Veterans Health Administration; A. Puleo, U.S. Department of Veterans Affairs
Integrating Evidence to Inform Lab Test Selection Into a Knowledge Management Framework
S. DesAutels, M. Zutter, A. Williams, D. Giuse, Z. Fox, M. Youngblood, W. Stead, N. Giuse, Vanderbilt University Medical Center
Cleaning House: EHR Order Set Innovation and Transformation at Penn Medicine
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J. McGreevey, University of Pennsylvania Health System/Perelman School of Medicine at the University of Pennsylvania; J. Resnic, AllSpire Health Partners
S20: Safety: Root Cause Analysis, Virtual Care, and Medical Reconciliation
Verbal Orders: Root Cause Analysis of Co-signature Authentication Timeframes
T. Powell, M. Windsor, K. Donovan, K. Abram, University of Arkansas for Medical Sciences
Quality Standards for Virtual Care: The Roles and Responsibilities of Stakeholders for Advancing Care Quality in an Online Environment
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K. Smith, L. Ide, Zipnosis
Using Qualitative Techniques to Classify Medication Reconciliation Errors
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R. Tarrago, Seattle Children's Hospital/University of Washington; W. Paul, N. Deam, Seattle Children's Hospital
9:15 a.m. – 10:15 a.m.
S21: Patient Generated Data, Interventions, and Telehealth
Patient Generated Safety Data in the Hospital Setting: Trust, Transparency and Learning
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S. Collins, Brigham and Women's Hospital/Harvard Medical School; B. Couture, J. Snyder, E. Gershanik, Brigham and Women's Hospital; J. Benneyan, Northeastern University; K. Fiumara, M. Fagan, Brigham and Women's Hospital; R. Boxer, Brigham and Women's Hospital/Harvard Medical School; A. Sheikh, The University of Edinburgh; D. Bates, Brigham and Women's Hospital/Harvard Medical School/Harvard School of Public Health
Building and Evaluating a Patient-facing Intervention to Deliver Implantable Cardioverter-defibrillator Remote Monitoring Data to Patients via MyChart: Patient and Provider Perceptions
M. Mirro, C. Daley, Parkview Health/Indiana University; S. Wagner, Parkview Health; R. Rohani Ghahari, Parkview Health; T. Toscos, Parkview Health/Indiana University
Predictors of Average Adherence to the use of Home Telehealth Devices in Veterans with Heart Failure
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J. Guzman, Southern Arizona VA Healthcare System/UCLA,/VA GLAHS HSR&D COIN; M. Yefimova, UCLA/VA; B. Viernes, VA; M. Lee, M. Farmer, VA GLAHS HSR&D COIN; B. Wakefield, VA CADRE; T. Hahn, VA GLAHS/UCLA
S22: Identifying Medication Risk
Building a Pharmacist Prioritization Tool Using Pharmacy-specific Data and Readmission Risk
S. Kabue, Kaiser Permanente
A “Bottom up" Data Driven Approach to Curating Electronic Order Sets
R. Li, J. Chen, Stanford University School of Medicine
Detecting Post-approval Adverse Drug Events within EHR Data: A Case Study Correlating Lipophilic Beta-blockers with the Subsequent Diagnosis of Parkinson’s Disease
H. Zhang, G. Jetley, University of South Florida; K. Raghavan, J. Philius, HealthAxis; R. Houser, University of South Florida; C. Spiro, HealthAxis
S24: Patient Deduplication, Clinical Phenotypes, and Collecting Social Determinants of Health
Developing Methods for Standardized Patient Cohort Deduplication Across the Carolinas Collaborative, A Regional Data Research Network
R. Bradford, University of North Carolina at Chapel Hill; J. Brittingham, Health Sciences South Carolina; S. Evans, Duke University; B. Ostasiewski, Wake Forest Baptist Medical Center; W. Yang, K. Bradford, A. Ashok Krishnamurthy, University of North Carolina at Chapel Hill
Practical Clinical Phenotype Definitions With SNOMED CT
L. Chu, V. Kannan, D. Willett, University of Texas Southwestern Health System
Supporting Disparities Research by Increasing the Collection of Social Determinants of Health Data through EHRs
L. Hovey, J. Leonard, K. Heaney-Huls, P. Dullabh, NORC at the University of Chicago
10:45 a.m. – 11:45 a.m.
S25: Methods for Enhancing EHR Usability
Disrupt and Adjust: Insights from a Contextual Inquiry of a Novel Documentation and Workflow Tool for Inpatient Providers
S. Airan-Javia, Perelman School of Medicine, University of Pennsylvania Health System; E. Orenstein, Children's Hospital of Philadelphia
Categorization of EHR Design Problems Using Usability Heuristics
B. Duncan, L. Zheng, Arizona State University; B. Doebbeling, Arizona State University/Mayo Clinic; A. Solomon, Arizona State University; S. Furniss, A. Grando, M. Burton, Arizona State University/Mayo Clinic; K. Poterack, T. Miksch, R. Helmers, Mayo Clinic; D. Kaufman, Arizona State University/Mayo Clinic
An Eye-tracking Study to Enhance Usability of Molecular Diagnostics Reports in Cancer Precision Medicine
S. Madhavan, Georgetown University
S26: Workflow Enhancements for the EHR
Improving Point of Care Information Workflow with EHR Embedded Search
B. Harris, University of Illinois Hospital and Health Sciences System; J. Williams, MedSocket; K. Kochendorfer, T. Kannampallil, University of Illinois Hospital and Health Sciences System; A. Goben, University of Illinois at Chicago; J. Hickner, University of Illinois Hospital and Health Sciences System
Preoperative Nursing Workflow and Problem Solving
L. Zheng, B. Duncan, Arizona State University; B. Doebbeling, Arizona State University/Mayo Clinic; A. Solomon, Arizona State University; S. Furniss, A. Grando, M. Burton, Arizona State University/Mayo Clinic; K. PoterackT. Miksch, R. Helmers, Mayo Clinic; D. Kaufman, Arizona State University/Mayo Clinic
Integration of Patient Controlled Analgesic Infusion Forms Into the Electronic Medical Record (the eAIF Project)
M. Connor, Memorial Sloan Kettering Cancer Center/New York University; V. Malhotra, S. Brown, K. Begonia, D. Tan, Memorial Sloan Kettering Cancer Center
S28: The Learning Health System, Optimization and Leveraging Technology - All to Improve Care
Implementation of a Learning Healthcare System for Sickle Cell Disease
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R. Miller, E. Coyne, D. Eckrich, R. Villanueva, J. Wadman, R. Gresh, E. Crowgey, E. Kolb, H. Bunnell, Nemours Alfred I. duPont Hospital for Children
The Veterans Health Administration’s Reproductive Health Project
C. Cusack, Veterans Health Administration/Insight Informatics; L. Zephyrin, R. Silverman, Veterans Health Administration; R. Ruff, US Department of Veterans Affairs
Leveraging Technology to Reduce Unnecessary Post Procedure Office Visits for Chemo Port Placement
C. VanZandbergen, M. Dagli, Penn Medicine
12:45 p.m. – 1:45 p.m.
S29: Translating Clinical Decision Support to Practice
Translating Evidence into Practice: Effect of an Evidence-based Electronic Clinical Decision Support Tool on Provider Ordering for Venous Catheters
E. Flores, K. Williams, K. Bowles, A. Buttenheim, University of Pennsylvania Health System; P. Sockolow, Drexel University; A. Norris, C. VanZandbergen, M. Epps, A. Hanlon, J. Chittams, C. Umscheid, University of Pennsylvania Health System
Clinical Pathway Regret Risk Differences Between Affluent and Underserved Populations
R. Aarhus, George Mason University
Development and Validation of Clinical Decision Support (CDS) Mobile App Framework: From What-to-Do Into What-to-Know
J. Park, Columbia University Medical Center; C. Sarabu, Stanford Children's Hospital
S31: Analysis of Medical Data and Implication for Value-based Care
Capturing Medical Complications Data for Inclusion in National Registries: A Needs Assessment
N. Sanchez, S. Chopra, M. Friedman, J. Revalee, Z. Yang, University of Cincinnati; A. France, K. Brown, K. Clarke-Myers, Cincinnati Children’s Hospital Medical Center; S. Hanke, Cincinnati Children’s Hospital Medical Center/University of Cincinnati; D. Wu, H. Jung, University of Cincinnati
A Clinical Informatics Consult Service to use Aggregate Patient Data at the Bedside
S. Gombar, A. Callahan, K. Jung, V. Polony, J. Banda, N. Shah, Stanford University
The Winning Health IT Engagement Model of an ACO in a Value-based Setting
D. Swieskowski, Mercy ACO, Iowa
2:00 p.m. – 3:00 p.m.
S32: Patient Portals: Challenges and Opportunities
Patient Portal Proxy Access for Adolescents: Preserving Confidential Care While Enhancing Parent Proxy Access
M. Punch, Michigan Medicine
Do Community Clinic Patients Have Internet Access for Patient Portal Use?
R. Bush, H. Barlow, A. Perez, B. Vazquez, J. Mack, C. Connelly, University of San Diego
Development of a Taxonomy of Secure Messages from an Inpatient Portal
C. Sieck, J. Hefner, D. Walker, T. Huerta, A. McAlearney, The Ohio State University College of Medicine
S34: Tool Based Analytics
Institution of a Pop-up Reminder Decreases Opioid Prescriptions for Pediatric Patients in the Emergency Department
M. Van Cain, A. Capraro, Boston Children's Hospital
Radiation Therapy Data Curation: Utilizing Interdisciplinary Expert Knowledge via an Iterative Tool-based Process
T. Schuler, Royal North Shore Hospital/Macquarie University; B. Gallego, Macquarie University; J. Kipritidis, M. Perez, K. Grimberg, K. Richardson, S. Evill, B. Evans, A. Kneebone, G. Hruby, T. Eade, Royal North Shore Hospital
Developing a Visual Annotation Tool to Rapidly Collect Expert-annotated Weight Errors in Pediatric Growth Charts
P. Van Camp, University of Cincinnati; M. Newcomb, E. Kirkendall, A. Spooner, Cincinnati Children's Hospital Medical Center; D. Wu, University of Cincinnati