Problem/Domain Specific Projects

Clinician and Staff Well-being

This project aims to apply informatics techniques and develop informatics tools to help improve clinician and staff burnout and well-being.

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Funding

Publications (Annotations: *corresponding author, Wu mentee, ⁱEqual Contribution)

Wu DTY*, Xu C, Kim A, Bindhu S, Mah KE, Eckman MH. A Scoping Review of Health Information Technology in Clinician Burnout. Appl Clin Inform. 2021 May. PMID: 34233369.

Weight Error Entry Detection (WEED)

This project aims to develop a machine learning algorithm to detect abnormal pediatric weights both retrospectively and prospectively and further develop a decision support tool to prevent weight-based dosing errors.

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Funding

AAMI 2018 Mary K. Logan Research Award (PI: Danny Wu), 07/01/18 - 09/30/19.

Publications (Annotations: *corresponding author, Wu mentee, ⁱEqual Contribution)

Liu L*, Wu DTY, Spooner SA, Ni Y. Development and Evaluation of an Automated Approach to Detect Weight Abnormalities in Pediatric Weight Charts. AMIA Annu Symp Proc. 2021 Nov. In Press.
Wu DTY*, Van Camp PJ, Kim A, Parikh M, Liu Lei, Mahdi M, Ni Y, Spooner A. User-Centered Evaluation of a Visual Annotation Tool for Rapid Assessment of Pediatric Weight Entry Errors. Stud Health Technol Inform. 2021 Oct, In Press.
Van Camp PJ, Mahdi CM, Liu L, Ni Y, Spooner SA, Wu DTY*. Development and Preliminary Evaluation of a Visual Annotation Tool to Rapidly Collect Expert-Annotated Weight Errors in Pediatric Growth Charts. Stud Health Technol Inform. 2019 Aug. PMID: 31438045.
Wu DTY*, Meganathan K, Newcomb M, Ni Y, Dexheimer J, Kirkendall ES, Spooner SA. Comparison of Existing Methods to Detect Weight Data Errors in a Pediatric Academic Medical Center. AMIA Annu Symp Proc. 2018 Dec. PMID: 30815152.

Resident Dashboard

This project aims to use user-centered design and visual analytics principles to develop a resident dashboard for the Internal Medicine clinical competency committee to review and keep track of the residents' performance and milestones.

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Funding

Internal Medicine Residency Program Service Contract, University of Cincinnati College of Medicine (09/01/21 - present)

Publications (Annotations: *corresponding author, Wu mentee, ⁱEqual Contribution)

Vennemeyer S, Parikh M, Mu S, Kinnear B, Wu DTY*. Evaluation of a Data Dashboard to Support Resident Learning and Competency Assessment. The 11th Workshop on Visual Analytics in Healthcare (VAHC). 2020 Nov. DOI: 10.1109/VAHC53729.2020.00012.

Digital Scholarship

This project aims to develop human-centered artificial intelligent solutions to solve problems across disciplines. Through the collaborations with the UC Digital Scholarship Center (DSC), the lab and the DSC together play a role of technical catalyst using data-driven methods to create new research directions and learning outcomes. The lab received multiple catalyst awards from the DSC as part of the Mellon grants to sustain this collaboration.

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Funding

UC CoM COVID-19 Research Pilot Award (PI: Danny Wu, Co-I: James Lee), 04/13/20 - 04/14/21.
Mellon Fundation Grant Phase 2 (PIs: Xuemao Wang and James Lee, Co-I: Danny Wu), 10/01/20 - 09/30/23
Mellon Fundation Grant Phase 1 (PIs: Xuemao Wang and James Lee, Co-I: Danny Wu), 01/01/18 - 09/30/20

Publications (Annotations: *corresponding author, Wu mentee, ⁱEqual Contribution)

Wu DTY*, Zhou F, Su WC, Vu H, Sahu P, Harnett B, Chiu TP, Vogel G, Lee JJ. A User-Centered Evaluation of a COVID-19 Intelligent Query System (COVID-IQS). Stud Health Technol Inform. 2021 Oct, In Press.
ⁱPowers-Fletcher MV, ⁱMcCabe E, Luken S, Wu DTY, Hagedorn PA, Edgerton E, Koshoffer A, Washington D, Kannayyagari S, Lee J, Latessa J, Lee JJ*. Convergence in Viral Epidemic Research: Using Natural Language Processing to Define Network Bridges in the Bench-Bedside-Population Paradigm. Harvard Data Science Review. 2021 Mar. DOI: 10.1162/99608f92.cc479d52.
Pajor NM*, Nickels L, Edgerton E, Wu DTY, Benscoter DT, Lee JJ. Feature Extraction and Visualization of Respiratory Therapist Notes for Pediatric Long-Term Ventilator Dependent Patients. The 11th Workshop on Visual Analytics in Healthcare (VAHC). 2020 Nov. DOI: 10.1109/VAHC53729.2020.00011.
Wu DTY*, Su WC, Lee JJ. Retrieving Scientific Abstracts using Venue- and Concept-based Approaches: CincyMedIR at TREC 2019 Precision Medicine Track. Text REtrieval Conference. 2019 Nov. (abstract)

Congenital Heart Center / Pediatric Heart Institute

This project aims to apply informatics to serve dynamic data needs of a congenital heart center / pediatric heart institutes, where clinicians with multi-specialty work together to fight for congenital heart diseases. The project targets all aspects of pediatric cardiology and thoracic surgery to improve care delivery, clinical research, and medical education.

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Funding

CCHMC Heart Institute Service Contract (PI: Danny Wu), 07/01/2017 - present.
NSF SIBR Phase 1 # 2028008 (PI: Onu Technology, Inc, Co-I: Ken Mah and Danny Wu), 06/01/2020 - 11/30/2020.
Pediatric Heart Network Scholar Award (PI Garick Hill, Co-I: Danny Wu), 07/01/2018 - 06/30/2020.
Michigan Medicine Congenital Heart Center (PI: Kai Zheng, Tech Lead: Danny Wu). 09/01/2011 - 08/31/2014.

Publications (Annotations: *corresponding author, Wu mentee, ⁱEqual Contribution)

Wu DTY*, Vennemeyer S, Brown K, Revalee J, Murdock P, Salomone S, France A, Clarke-Myers K, Hanke S. Usability Testing of an Interactive Dashboard for Surgical Quality Improvement in a Large Congenital Heart Center. Appl Clin Inform. 2019 Nov. PMID: 31724143.
Wu DTY*, Zheng K, Bradley DJ. CHCi – A Dynamic Data Platform for Clinical Data Capture and Use. AMIA Jt Summits Transl Sci Proc. 2018 May. PMID: 29888081.
Bradley DJ*, Wu DTY, Goldberg CS, Serwer GS, Lowery RE, Donohue JE, et al. Out of Many, One: Integrating Data in the Paediatric Cardiovascular Environment. Cardiol Young. 2016 Sep. PMID: 27680300.

Methodology Related Projects

Clinical Workflow Analysis

This method aims to understand clinical processes and bottlenecks and measure workflow efficiency using multiple or mixed methods, including but not limited to semi-structured interviews, time and motion studies, electronic health records, and real-time locating systems. The lab has developed two online tools to help the workflow data collection and analysis: Time Motion Data Collector (TMDC) and Clinical Workflow Analysis Tool (CWAT).

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Funding

AHRQ Contract HHSA290201000019I (PD: Kai Zheng, RA: Danny Wu), 06/01/12 - 07/31/15.

Publications (Annotations: *corresponding author, Wu mentee, ⁱEqual Contribution)

Wu DTY*, Barrick L, Ozkaynak M, Blondon K, Zheng K. Special Section on Workflow Automation: Principles for Designing and Developing a Workflow Monitoring Tool to Enable and Enhance Clinical Workflow Automation. Appl Clin Inform. In Press.
Wu DTY*, Sachdeva R, Murduck P, Vennemeyer S, Mattucci-Hunter L, Lehman M. Perspectives of Certified Registered Nurse Anesthetists on Endoscopy Room Delays. Open J Nurs. 2021 Nov. DOI: 10.4236/ojn.2021.1111077.
Barrick L*, Overmann K, LaBare J, Wu DTY. Keep Your Distance! Measuring Staff Physical Distancing During the Sars-Cov-2 Pandemic using a Real-time Locating System. American Journal of Emergency Medicine. 2021 June. PMID: 34098329.
Overmann K*. Wu DTY, Xu C, Bindhu S, Barrick-Groskopf L. Real-time Locating Systems (RTLS) to Improve Healthcare Delivery: a Systematic Review. J Am Med Inform Assoc. 2021 Mar. PMID: 33682009.
Chapter 11: Computer-Based Tools for Recording Time and Motion Data for Assessing Clinical Workflow. Cognitive Informatics: Reengineering Clinical Workflow for Safer and More Efficient Care. 2019 June. ISBN:978-3-030-16915-2.
Wu DTY*, Deoghare S, Shan Z, Meganathan K, Blondon K. The Potential Role of Dashboard Use and Navigation in Reducing Medical Errors of an Electronic Health Record System: A Mixed-Method Simulation Handoff Study. Health Syst (Basingstoke). 2019 May. PMID: 31839932.
Wu DTY*, Smart N, Ciemins E, Lanham HJ, Lindberg C, Zheng K. Using EHR Audit Trail Logs to Analyze Clinical Workflow: A case study from community-based ambulatory clinics. AMIA Annu Symp Proc. 2018 Apr. PMID: 29854253.
Ozkaynak M*, Wu DTY, Hannah K, Dayan PS, Mistry RD. Examining Workflow in a Pediatric Emergency Department to Develop a Clinical Decision Support for an Antimicrobial Stewardship Program. Appl Clin Inform. 2018 Feb. PMID: 29642247.
Ehrler F*, Ducloux P, Wu DTY, Lovis C, Blondon K. Acceptance of a Mobile Application Supporting Nurses Workflow at Patient Bedside: Results from a Pilot Study. Stud Health Technol Inform. 2018 Apr. PMID: 29678012. (full-text)

Applied Machine Learning / Clinical Decision Support

This method follows a three-stage design to develop machine learning (ML)-based predictive models and evaluate the model effectiveness. The first stage focuses on technical performance using human-in-the-loop principles and standardized machine learning pipelines to train and test ML models. The second stage explores the workflow and usability aspects of the best-performed predictive model and implement the model as a clinical decision support (CDS) tool. The third stage conducts an experiment to evaluate the effectiveness of the CDS tool and demonstrate its positive impact on human health.

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Publications (Annotations: *corresponding author, Wu mentee, ⁱEqual Contribution)

Liu L*, Wu DTY, Spooner SA, Ni Y. Development and Evaluation of an Automated Approach to Detect Weight Abnormalities in Pediatric Weight Charts. AMIA Annu Symp Proc. 2021 Nov. In Press.
Wu DTY*, Van Camp PJ, Kim A, Parikh M, Liu Lei, Mahdi M, Ni Y, Spooner A. User-Centered Evaluation of a Visual Annotation Tool for Rapid Assessment of Pediatric Weight Entry Errors. Stud Health Technol Inform. 2021 Oct, In Press.
Van Camp PJ, Mahdi CM, Liu L, Ni Y, Spooner SA, Wu DTY*. Development and Preliminary Evaluation of a Visual Annotation Tool to Rapidly Collect Expert-Annotated Weight Errors in Pediatric Growth Charts. Stud Health Technol Inform. 2019 Aug. PMID: 31438045.
Wu DTY*, Meganathan K, Newcomb M, Ni Y, Dexheimer J, Kirkendall ES, Spooner SA. Comparison of Existing Methods to Detect Weight Data Errors in a Pediatric Academic Medical Center. AMIA Annu Symp Proc. 2018 Dec. PMID: 30815152.

Readability Assessment

The aims of this method are twofold. First, it aims to quantifies the readability of a document in the form of a grade level. The AMA and NIH have recommended that the readability scores of patient education materials should be no more than six grade level (PMID: 25147778). Readability assessment can help identify the mismatch between a document reading level and a readers' literacy. It can also extract language features of a document (e.g. sentence length, syllables, difficulty words) for further text analysis and mining. Second, the project goes beyond readability and improve the understandability and actionability of clinical notes as well as online health information. This project is focused on both methods and applications, and have studies in various medical specialties.

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Fundings

UC OoR Arts, Humanities and Social Sciences (AHSS) Program Award (PI: Danny Wu), 04/01 - 08/31/21
UC 2021 UHP Discover Project (co-PIs: Hexuan Liu and Danny Wu), 05/01/21 - 08/31/21.
UC 2020 UHP Discover Project (co-PIs: Hexuan Liu and Danny Wu), 05/01/20 - 08/31/20.

Publications (Annotations: *corresponding author, Wu mentee, ⁱEqual Contribution)

Su WC, Mehta K, Gill K, Yeh P, Chih MY, Wu DTY*. Assessing the Readability of App Descriptions and Investigating its Role in the Choice of mHealth Apps: Retrospective and Prospective Analyses. AMIA Annu Symp Proc. 2021 Nov. In Press.
Karthik N, Barekatain K, Vu H, Wu DTY*, Ehrlich JR. A Readability Comparison of Online Spanish and English Patient Education Materials about Vision Health. Ophthalmic Epidemiology. 2021 Apr. PMID: 33832394.
Su WC, Dufendach K, Wu DTY*. Assessing the Readability of Freely Available ICU Notes. AMIA Jt Summits Transl Sci Proc. 2019 May. PMID: 31259026. (full-text)
Wu DTY, Hanauer DA, Mei Q, Clark PM, An LC, Proulx J, Zeng QT, Vydiswaran VV, Collins-Thompson K, Zheng K*. Assessing the Readability of Clinicaltrials.gov. J Am Med Inform Assoc. 2015 Aug. PMID: 26269536. (full-text)urn
Wu DTY, Hanauer DA, Mei Q, Clark PM, An LC, Lei J, Proulx J, Zeng-Treitler Q, Zheng K*. Applying Multiple Methods to Assess the Readability of a Large Corpus of Medical Documents. Stud Health Technol Inform. 2013 Aug. PMID: 23920636. (full-text)

Medical Information Retrieval

This method aims to unlock information from unstructured, free text data, such as biomedical literature and clinical notes to provide information that would otherwise not be available to clinicians, administrators, and researchers. The project develops start-of-the-art and scalable information retrieval engine with machine learning and natural language processing techniques to retrieve highly relevant documents given a query. Moreover, the lab focuses on the design of the information retrieval engine to support collaborative information seeking.

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Funding

UC CoM COVID-19 Research Pilot Award (PI: Danny Wu, Co-I: James Lee), 04/13/20 - 04/14/21.
NIH/NLM UL1 HHSN276201000032C (PI: Kai Zheng, RA: Danny Wu), 09/01/11 - 03/31/13.

Publications (Annotations: *corresponding author, Wu mentee, ⁱEqual Contribution)

Vu H, Wu DTY*. Retrieving Trial Descriptions using Eligibility Filters and Negation Detector: CincyMedIR at TREC 2021 Clinical Trials Track. Text REtrieval Conference. 2021 Nov. (abstract, podium presentation)
Wu DTY*, Zhou F, Su WC, Vu H, Sahu P, Harnett B, Chiu TP, Vogel G, Lee JJ. A User-Centered Evaluation of a COVID-19 Intelligent Query System (COVID-IQS). Stud Health Technol Inform. 2021 Oct, In Press.
Sahu P, Vu H, Wu DTY*. Retrieving Scientific Abstracts using Medical Concepts and Learning to Rank: CincyMedIR at TREC 2020 Precision Medicine Track. Text REtrieval Conference. 2020 Nov. (abstract, podium presentation)
Wu DTY*, Su WC, Lee JJ. Retrieving Scientific Abstracts using Venue- and Concept-based Approaches: CincyMedIR at TREC 2019 Precision Medicine Track. Text REtrieval Conference. 2019 Nov. (abstract)
Liu J, Kronk C, Su WC, Wu DTY, Vydiswaran VGV*. Retrieving Scientific Abstracts: MedIER at TREC 2018 Precision Medicine Track. Text REtrieval Conference. 2018 Nov. (abstract, podium presentation)
Hanauer DA*, Wu DTY, Yang L, Mei Q, Steffy KM, Vydiswaran VG, Zheng K. Development and Empirical User-Centered Evaluation of Semantically-based Query Recommendation for an Electronic Health Record Search Engine. J Biomed Inform. 2017 Jan. PMID: 28131722.
Yin T, Wu DTY, Vydiswaran VG*. Retrieving Documents based on Gene Name Variations: MedIER at TREC 2017 Precision Medicine Track. Text REtrieval Conference. Nov 2017. (abstract, podium presentation)
Hu F, Wu DTY, Mei Q, Vydiswaran VG*. Learning from Medical Summaries: The University of Michigan at TREC 2015 Clinical Decision Support Track. Text REtrieval Conference. Nov 2015. (abstract)

Visual Analytics

This method aims to design and develop data-driven visualizations and interactive dashboards and evaluate them in a user-centered manner. The project has a wide-range of applications, and is interdisciplinary in nature. Lab members in design, tech, and research often work together in this project.

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Publications (Annotations: *corresponding author, Wu mentee, ⁱEqual Contribution)

Vennemeyer S, Parikh M, Mu S, Kinnear B, Wu DTY*. Evaluation of a Data Dashboard to Support Resident Learning and Competency Assessment. The 11th Workshop on Visual Analytics in Healthcare (VAHC). 2020 Nov. DOI: 10.1109/VAHC53729.2020.00012.
Fareed, N*, Swoboda, C, Chen, S, Potter, E, Wu DTY, Sieck, C. US COVID-19 State Government Public Dashboards: An Expert Review. 2021. Appl Clin Inform. 2021 Jan. PMID: 33853140.
Wu DTY*, Vennemeyer S, Brown K, Revalee J, Murdock P, Salomone S, France A, Clarke-Myers K, Hanke S. Usability Testing of an Interactive Dashboard for Surgical Quality Improvement in a Large Congenital Heart Center. Appl Clin Inform. 2019 Nov. PMID: 31724143.
Wu DTY, Chen AT, Manning JD, Levy-Fix G, Backonja U, Borland D, Caban JJ, Dowding DW, Hochheiser H, Kaganj V, Kandaswamy S, Kumar M, Nunez A, Pan E, Gotz D*. Evaluating Visual Analytics for Health Informatics Applications: A Systematic Review from the AMIA VIS Working Group Task Force on Evaluation. J Am Med Inform Assoc. 2019 Apr. PMID: 30840080. (full-text)

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