Using a Healthcare Process Modeling Approach to Understand Electronic Health Records-based Pressure Injury Data and to Support Development of a Standardized Pressure Injury Phenotyping Pipeline
Presentation Time: 02:45 PM - 03:00 PM
Abstract Keywords: Nursing Informatics, Informatics Implementation, Healthcare Quality, Workflow, Data Mining
Working Group: Nursing Informatics Working Group
Primary Track: Applications
Programmatic Theme: Clinical Informatics
The complexity of health care processes present significant challenges for using Electronic Health Records (EHR) data to build high fidelity phenotypes. This study leverages a healthcare process modeling (HPM) approach to enable understanding of EHR-based pressure injury (PrI) data patterns needed for building a standardized PrI phenotyping pipeline. The PrI HPM was developed and validated using mixed methods, including exploratory sequential design, through interdisciplinary collaboration among clinical experts, data scientists, database analysts, and informaticians. The qualitative analysis identified the dynamics between PrI care and the associated clinical documentation processes. The quantitative analysis identified inherent challenges and limitations of the PrI data. The PrI HPM includes three moderating factors: system configuration, hospital policy, and nurse's individual workflow. We further incorporated the HPM into the PrI phenotype development process to address phenotyping challenges. Moreover, we suggested a set of standardizable recommendations to address PrI phenotyping challenges.
Speaker(s):
Luwei Liu, Master of Biomedical Informatics
Brigham and Women's Hospital
Author(s):
Luwei Liu, Master of Biomedical Informatics - Brigham and Women's Hospital; Min Jeoung Kang, PhD - Brigham and Women's Hospital/ Harvard Medical School; Michael Sainlaire - Brigham and Women's Health; Graham Lowenthal, BA - Brigham and Women's Hospital; Tanya Martel, DNP, FNP-BC. CWOCN - Center for Nursing Excellence, Brigham and Women’s Hospital; Sandy Cho, MPH IN-BC - Newton-Wellesley Hospital; Debra Furlong, MS, RN-BC - department of Nursing Services, Brigham and Women’s Hospital; Wadia Gilles-Fowler, BSN, RN, CWOCN - Center for Nursing Excellence, Brigham and Women’s Hospital; Luciana Goncalves, PhD - Brigham and Women’s Hospital; Lisa Herlihy, MSN, RN - Salem Hospital; Veysel Baris, RN, PHD - Brigham and Women’s Hospital; Jacqueline Massaro; Jacqueline Massaro, MSN, RN - Brigham and Women’s Hospital; Beth Melanson, MS, RN, ACNS-BC, CWOCN, CCRN - Brigham and Women’s Hospital; Lori Morrow, RN, CWOCN - Salem Hospital; Paula Wolski, MSN, RN, NI-BC - Brigham and Womens Faulkner Hospital; Wenyu Song, PhD - Brigham and Women's Hospital, Harvard Medical School; Patricia Dykes, PhD, RN - Brigham and Women’s Hospital, Harvard Medical School;
Presentation Time: 02:45 PM - 03:00 PM
Abstract Keywords: Nursing Informatics, Informatics Implementation, Healthcare Quality, Workflow, Data Mining
Working Group: Nursing Informatics Working Group
Primary Track: Applications
Programmatic Theme: Clinical Informatics
The complexity of health care processes present significant challenges for using Electronic Health Records (EHR) data to build high fidelity phenotypes. This study leverages a healthcare process modeling (HPM) approach to enable understanding of EHR-based pressure injury (PrI) data patterns needed for building a standardized PrI phenotyping pipeline. The PrI HPM was developed and validated using mixed methods, including exploratory sequential design, through interdisciplinary collaboration among clinical experts, data scientists, database analysts, and informaticians. The qualitative analysis identified the dynamics between PrI care and the associated clinical documentation processes. The quantitative analysis identified inherent challenges and limitations of the PrI data. The PrI HPM includes three moderating factors: system configuration, hospital policy, and nurse's individual workflow. We further incorporated the HPM into the PrI phenotype development process to address phenotyping challenges. Moreover, we suggested a set of standardizable recommendations to address PrI phenotyping challenges.
Speaker(s):
Luwei Liu, Master of Biomedical Informatics
Brigham and Women's Hospital
Author(s):
Luwei Liu, Master of Biomedical Informatics - Brigham and Women's Hospital; Min Jeoung Kang, PhD - Brigham and Women's Hospital/ Harvard Medical School; Michael Sainlaire - Brigham and Women's Health; Graham Lowenthal, BA - Brigham and Women's Hospital; Tanya Martel, DNP, FNP-BC. CWOCN - Center for Nursing Excellence, Brigham and Women’s Hospital; Sandy Cho, MPH IN-BC - Newton-Wellesley Hospital; Debra Furlong, MS, RN-BC - department of Nursing Services, Brigham and Women’s Hospital; Wadia Gilles-Fowler, BSN, RN, CWOCN - Center for Nursing Excellence, Brigham and Women’s Hospital; Luciana Goncalves, PhD - Brigham and Women’s Hospital; Lisa Herlihy, MSN, RN - Salem Hospital; Veysel Baris, RN, PHD - Brigham and Women’s Hospital; Jacqueline Massaro; Jacqueline Massaro, MSN, RN - Brigham and Women’s Hospital; Beth Melanson, MS, RN, ACNS-BC, CWOCN, CCRN - Brigham and Women’s Hospital; Lori Morrow, RN, CWOCN - Salem Hospital; Paula Wolski, MSN, RN, NI-BC - Brigham and Womens Faulkner Hospital; Wenyu Song, PhD - Brigham and Women's Hospital, Harvard Medical School; Patricia Dykes, PhD, RN - Brigham and Women’s Hospital, Harvard Medical School;
Using a Healthcare Process Modeling Approach to Understand Electronic Health Records-based Pressure Injury Data and to Support Development of a Standardized Pressure Injury Phenotyping Pipeline
Category
Paper - Regular