What Am I Giving Tonight? Information Needs of Nurses Related To Patient Medications Administration While Using a Clinical Information System

par Cato, Kenrick D., Bakken, Suzanne
Publié 2012

Data Elements and Validation Methods Used for Electronic Surveillance of Healthcare-Associated Infections: A Systematic Review

par Cato, Kenrick D, Cohen, Bevin, Larson, Elaine
Publié dans Am J Infect Control (2015)

Did I Tell You That? Ethical Issues Related to Using Computational Methods to Discover Non-Disclosed Patient Characteristics

par Cato, Kenrick D, Bockting, Walter, Larson, Elaine
Publié dans J Empir Res Hum Res Ethics (2016)

Electronic Surveillance of Surgical Site Infections

par Cato, Kenrick D., Liu, Jianfang, Cohen, Bevin, Larson, Elaine
Publié dans Surg Infect (Larchmt) (2017)

Transforming clinical data into wisdom

par Cato, Kenrick D., McGrow, Kathleen, Rossetti, Sarah Collins
Publié dans Nurs Manage (2020)

Visualization of Data Regarding Infections Using Eye Tracking Techniques

par Yoon, Sunmoo, Cohen, Bevin, Cato, Kenrick D., Liu, Jianfang, Larson, Elaine L.
Publié dans J Nurs Scholarsh (2016)

Concurrent Detection of Bacterial Pathogens in Hospital Roommates

par Cohen, Bevin, Spirito, Christopher M., Liu, Jianfang, Cato, Kenrick D., Larson, Elaine
Publié dans Nurs Res (2019)

Engagement among psychiatric nurses: Is it different? How and why?

par Curran, Mary-Jo, Rivera, Reynaldo R., Knaplund, Claire, Espinosa, Linda, Cato, Kenrick D.
Publié dans Nurs Manage (2020)

A scoping review of sexual minority women’s health in Latin America and the Caribbean

par Caceres, Billy A., Jackman, Kasey B., Ferrer, Lilian, Cato, Kenrick D., Hughes, Tonda L.
Publié dans Int J Nurs Stud (2019)

Clinician involvement in research on machine learning–based predictive clinical decision support for the hospital setting: A scoping review

par Schwartz, Jessica M, Moy, Amanda J, Rossetti, Sarah C, Elhadad, Noémie, Cato, Kenrick D
Publié dans J Am Med Inform Assoc (2021)

Characterizing and Visualizing Display and Task Fragmentation in the Electronic Health Record: Mixed Methods Design

par Senathirajah, Yalini, Kaufman, David R, Cato, Kenrick D, Borycki, Elizabeth M, Fawcett, Jaime Allen, Kushniruk, Andre W
Publié dans JMIR Hum Factors (2020)

Time-motion examination of electronic health record utilization and clinician workflows indicate frequent task switching and documentation burden

par Moy, Amanda J., Schwartz, Jessica M., Elias, Jonathan, Imran, Seemab, Lucas, Eugene, Cato, Kenrick D., Rossetti, Sarah Collins
Publié dans AMIA Annu Symp Proc (2021)

Measurement of clinical documentation burden among physicians and nurses using electronic health records: a scoping review

par Moy, Amanda J, Schwartz, Jessica M, Chen, RuiJun, Sadri, Shirin, Lucas, Eugene, Cato, Kenrick D, Rossetti, Sarah Collins
Publié dans J Am Med Inform Assoc (2021)

CONCERN Factorial Design Survey (FDS) Methods Test: Using REDCap as a Survey Platform

par Garcia, Jose P., Collins, Sarah A., Cato, Kenrick D., Bakken, Suzanne, Jia, Haomiao, Kang, Min J., Knaplund, Christopher, Schnock, Kumiko O., Dykes, Patricia C.
Publié dans Stud Health Technol Inform (2019)

Mining clinical phrases from nursing notes to discover risk factors of patient deterioration

par Korach, Zfania Tom, Yang, Jie, Rossetti, Sarah Collins, Cato, Kenrick D., Kang, Min-Jeoung, Knaplund, Christopher, Schnock, Kumiko O., Garcia, Jose P., Jia, Haomiao, Schwartz, Jessica M., Zhou, Li
Publié dans Int J Med Inform (2019)

Identifying Nurses’ Concern Concepts about Patient Deterioration Using a Standard Nursing Terminology

par Kang, Min-Jeoung, Dykes, Patricia C., Korach, Tom Z., Zhou, Li, Schnock, Kumiko O., Thate, Jennifer, Whalen, Kimberly, Jia, Haomiao, Schwartz, Jessica, Garcia, Jose P., Knaplund, Christopher, Cato, Kenrick D., Rossetti, Sarah Collins
Publié dans Int J Med Inform (2019)

Unsupervised Machine Learning of Topics Documented by Nurses about Hospitalized Patients Prior to a Rapid-Response Event

par Korach, Zfania Tom, Cato, Kenrick D., Collins, Sarah A., Kang, Min Jeoung, Knaplund, Christopher, Dykes, Patricia C., Wang, Liqin, Schnock, Kumiko O., Garcia, Jose P., Jia, Haomiao, Chang, Frank, Schwartz, Jessica M., Zhou, Li
Publié dans Appl Clin Inform (2019)