Sarah Collins Rossetti
Orcid: 0000-0003-2632-8867
According to our database1,
Sarah Collins Rossetti
authored at least 48 papers
between 2019 and 2024.
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Bibliography
2024
Defining Documentation Burden (DocBurden) and Excessive DocBurden for All Health Professionals: A Scoping Review.
Appl. Clin. Inform., 2024
Dissemination of Strategies for Reducing Excessive Documentation Burden: 25x5 Task Force Activities Relevant to Nursing.
Proceedings of the Innovation in Applied Nursing Informatics, 2024
2023
Predicting emergency department visits and hospitalizations for patients with heart failure in home healthcare using a time series risk model.
J. Am. Medical Informatics Assoc., September, 2023
Understanding the perceived role of electronic health records and workflow fragmentation on clinician documentation burden in emergency departments.
J. Am. Medical Informatics Assoc., April, 2023
Understanding the Technical Implementation of a Clinical Decision Support SmartApp: A Qualitative Analysis.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023
2022
Clinical notes: An untapped opportunity for improving risk prediction for hospitalization and emergency department visit during home health care.
J. Biomed. Informatics, 2022
Documentation of hospitalization risk factors in electronic health records (EHRs): a qualitative study with home healthcare clinicians.
J. Am. Medical Informatics Assoc., 2022
Proceedings of the AMIA 2022, 2022
Proceedings of the AMIA 2022, 2022
Using Topic Modeling to Elicit Insights from the 25x5 Symposium to Reduce Documentation Burden Chat Logs.
Proceedings of the AMIA 2022, 2022
Using Time Series Clustering to Segment and Infer Emergency Department Nursing Shifts from Electronic Health Record Log Files.
Proceedings of the AMIA 2022, 2022
Differences in Frequencies of Nursing Flowsheet Documentation by Patients' Primary Language.
Proceedings of the AMIA 2022, 2022
Informatics Research and Implementation During COVID: Challenges, Opportunities and Recommendations for Building a Sustainable Infrastructure.
Proceedings of the AMIA 2022, 2022
Clinical Staff EHR Usability and Satisfaction: Preliminary Results of A Multi-Site, Pre-Post Implementation Evaluation.
Proceedings of the AMIA 2022, 2022
Heart Failure Patient Characteristics and Symptoms Documented in Home Health Care Clinical Notes are Associated with Emergency Department Visits and Hospitalizations.
Proceedings of the AMIA 2022, 2022
2021
Corrigendum to: Clinician involvement in research on machine learning-based predictive clinical decision support for the hospital setting: A scoping review.
J. Am. Medical Informatics Assoc., 2021
Response to: Looking for clinician involvement under the wrong lamp post: the need for collaboration measures.
J. Am. Medical Informatics Assoc., 2021
Clinician involvement in research on machine learning-based predictive clinical decision support for the hospital setting: A scoping review.
J. Am. Medical Informatics Assoc., 2021
Healthcare Process Modeling to Phenotype Clinician Behaviors for Exploiting the Signal Gain of Clinical Expertise (HPM-ExpertSignals): Development and evaluation of a conceptual framework.
J. Am. Medical Informatics Assoc., 2021
Measurement of clinical documentation burden among physicians and nurses using electronic health records: a scoping review.
J. Am. Medical Informatics Assoc., 2021
Utilizing timestamps of longitudinal electronic health record data to classify clinical deterioration events.
J. Am. Medical Informatics Assoc., 2021
J. Am. Medical Informatics Assoc., 2021
Identifying nursing documentation patterns associated with patient deterioration and recovery from deterioration in critical and acute care settings.
Int. J. Medical Informatics, 2021
Clinician and Health Care Leaders' Experiences with - and Perceptions of - COVID-19 Documentation Reduction Policies and Practices.
Appl. Clin. Inform., 2021
Characterizing Multitasking and Workflow Fragmentation in Electronic Health Records among Emergency Department Clinicians: Using Time-Motion Data to Understand Documentation Burden.
Appl. Clin. Inform., 2021
Supervised Machine Learning of Nursing Flowsheet Data to Identify a Signal of Racial Bias.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Natural Language Processing Algorithm to Detect Terms Representing Risk of Hospitalization or Emergency Department Visits during Home Health Care.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Pre- and Intra-COVID-19 Comparison of Nursing Flowsheet Documentation Burden in Acute and Critical Care Units.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Assessing CONCERN: Analysis of Application Log Files to Investigate the Utilization of a Clinical Decision Support Tool for Identifying Risky Patients.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Assessing Clinical Staff Usability & Satisfaction Before and After an Electronic Health Records Implementation Using Health-ITUES.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
Development and validation of early warning score system: A systematic literature review.
J. Biomed. Informatics, 2020
A refined methodology for validation of information models derived from flowsheet data and applied to a genitourinary case.
J. Am. Medical Informatics Assoc., 2020
Lessons learned implementing a complex and innovative patient safety learning laboratory project in a large academic medical center.
J. Am. Medical Informatics Assoc., 2020
Mining clinical phrases from nursing notes to discover risk factors of patient deterioration.
Int. J. Medical Informatics, 2020
Identifying nurses' concern concepts about patient deterioration using a standard nursing terminology.
Int. J. Medical Informatics, 2020
Clinician Involvement in Research on Machine-Learning-Based Clinical Decision Support for the Hospital Setting: A Scoping Review.
Proceedings of the AMIA 2020, 2020
Mixed-Methods Approaches to Understanding, Measuring, and Reducing Clinical Documentation Burden.
Proceedings of the AMIA 2020, 2020
Time-motion examination of electronic health record utilization and clinician workflows indicate frequent task switching and documentation burden.
Proceedings of the AMIA 2020, 2020
Utilizing Timestamps of Longitudinal Data from Electronic Health Record to Predict Clinical Deterioration Events.
Proceedings of the AMIA 2020, 2020
Assessing Clinical Staff Usability & Satisfaction with Documentation & Information Retrieval Prior to an Electronic Health Record Implementation.
Proceedings of the AMIA 2020, 2020
2019
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
An Interprofessional Approach to Workflow Evaluation Focused on the Electronic Health Record Using Time Motion Study Methods.
Proceedings of the AMIA 2019, 2019
Leveraging Clinical Expertise as a Feature - not an Outcome - of Predictive Models: Evaluation of an Early Warning System Use Case.
Proceedings of the AMIA 2019, 2019
Proceedings of the AMIA 2019, 2019
Proceedings of the AMIA 2019, 2019
Proceedings of the AMIA 2019, 2019