Cato, Kenrick

What is the economic evidence for mHealth? A systematic review of economic evaluations of mHealth solutions.

Iribarren, S. J., Cato, K., Falzon, L., & Stone, P. W. (2017) · PLOS ONE

Mobile Health and mHealth ApplicationsHealth Systems, Economic Evaluations, Quality of Life

Cited by 519

Artificial intelligence in nursing: Priorities and opportunities from an international invitational think‐tank of the Nursing and Artificial Intelligence Leadership Collaborative

Ronquillo, C. E., Peltonen, L., Pruinelli, L., Chu, C. H., Bakken, S., Beduschi, A., Cato, K., Hardiker, N., Junger, A., Michalowski, M., et al. (2021) · Journal of Advanced Nursing

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 453

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

Moy, A. J., Schwartz, J. M., Chen, R., Sadri, S., Lucas, E., Cato, K. D., & Rossetti, S. C. (2021) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsNursing Diagnosis and Documentation

Cited by 284

Relationship Between Nursing Documentation and Patients' Mortality

Collins, S. A., Cato, K., Albers, D., Scott, K., Stetson, P. D., Bakken, S., & Vawdrey, D. K. (2013) · American Journal of Critical Care

Nursing Diagnosis and DocumentationMachine Learning in Healthcare

Cited by 157

Development and validation of early warning score system: A systematic literature review

Fu, L.-H., Schwartz, J., Moy, A., Knaplund, C., Kang, M.-J., Schnock, K. O., Garcia, J. P., Jia, H., Dykes, P. C., Cato, K., et al. (2020) · Journal of Biomedical Informatics

Healthcare Technology and Patient MonitoringSepsis Diagnosis and Treatment

Cited by 102

Understanding the perceived role of electronic health records and workflow fragmentation on clinician documentation burden in emergency departments

Moy, A. J., Hobensack, M., Marshall, K., Vawdrey, D. K., Kim, E. Y., Cato, K. D., & Rossetti, S. C. (2023) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsNursing Diagnosis and Documentation

Cited by 98

Factors influencing clinician trust in predictive clinical decision support systems for in-hospital deterioration: qualitative descriptive study

Schwartz, J. M., George, M., Rossetti, S. C., Dykes, P. C., Minshall, S. R., Lucas, E., & Cato, K. D. (2022) · JMIR Human Factors

Artificial Intelligence in Healthcare and EducationElectronic Health Records Systems

Cited by 88

Real-time surveillance system for patient deterioration: a pragmatic cluster-randomized controlled trial

Rossetti, S. C., Dykes, P. C., Knaplund, C., Cho, S., Withall, J., Lowenthal, G., Albers, D., Lee, R. Y., Jia, H., Bakken, S., et al. (2025) · Nature Medicine

Healthcare Technology and Patient MonitoringMachine Learning in Healthcare

Cited by 54

Transforming clinical data into wisdom: Artificial intelligence implications for nurse leaders

Cato, K. D., McGrow, K., & Rossetti, S. C. (2020) · Nursing Management

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 49

Healthcare Process Modeling to Phenotype Clinician Behaviors for Exploiting the Signal Gain of Clinical Expertise (HPM-ExpertSignals): Development and evaluation of a conceptual framework

Rossetti, S. C., Knaplund, C., Albers, D., Dykes, P. C., Kang, M. J., Korach, T. Z., Zhou, L., Schnock, K., Garcia, J., Schwartz, J., et al. (2021) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 42

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

Korach, Z. T., Yang, J., Rossetti, S. C., Cato, K. D., Kang, M.-J., Knaplund, C., Schnock, K. O., Garcia, J. P., Jia, H., Schwartz, J. M., et al. (2020) · International Journal of Medical Informatics

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 40

25 × 5 Symposium to reduce documentation burden: report-out and call for action

Hobensack, M., Levy, D. R., Cato, K., Detmer, D. E., Johnson, K. B., Williamson, J., Murphy, J., Moy, A., Withall, J., Lee, R., et al. (2022) · Applied Clinical Informatics

Electronic Health Records SystemsNursing Diagnosis and Documentation

Cited by 37

Write It Like You See It: Detectable Differences in Clinical Notes by Race Lead to Differential Model Recommendations

Adam, H., Yang, M. Y., Cato, K., Baldini, I., Senteio, C., Celi, L. A., Zeng, J., Singh, M., & Ghassemi, M. (2022) · Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIMachine Learning in Healthcare

Cited by 33

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

Korach, Z. T., Cato, K. D., Collins, S. A., Kang, M. J., Knaplund, C., Dykes, P. C., Wang, L., Schnock, K. O., Garcia, J. P., Jia, H., et al. (2019) · Applied Clinical Informatics

Machine Learning in HealthcareNursing Diagnosis and Documentation

Cited by 32

Identifying nurses’ concern concepts about patient deterioration using a standard nursing terminology

Kang, M.-J., Dykes, P. C., Korach, T. Z., Zhou, L., Schnock, K. O., Thate, J., Whalen, K., Jia, H., Schwartz, J., Garcia, J. P., et al. (2020) · International Journal of Medical Informatics

Nursing Diagnosis and DocumentationMachine Learning in Healthcare

Cited by 24

Utilizing timestamps of longitudinal electronic health record data to classify clinical deterioration events

Fu, L.-H., Knaplund, C., Cato, K., Perotte, A., Kang, M.-J., Dykes, P. C., Albers, D., & Collins Rossetti, S. (2021) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareHealthcare Technology and Patient Monitoring

Cited by 14

Nursing Documentation Variation Across Different Medical Facilities Within an Integrated Healthcare System

Kang, M.-J., Rossetti, S. C., Knaplund, C., Chang, F. Y., Schnock, K. O., Whalen, K., Gesner, E. J., Garcia, J. P., Cato, K. D., & Dykes, P. C. (2021) · CIN: Computers, Informatics, Nursing

Nursing Diagnosis and DocumentationElectronic Health Records Systems

Cited by 13

Identifying Barriers to The Implementation of Communicating Narrative Concerns Entered by Registered Nurses, An Early Warning System SmartApp

Hobensack, M., Withall, J., Douthit, B., Cato, K., Dykes, P., Cho, S., Lowenthal, G., Ivory, C., Yen, P.-Y., & Rossetti, S. (2024) · Applied Clinical Informatics

Health Policy Implementation ScienceElectronic Health Records Systems

Cited by 3