Search Results - "Pellathy, Tiffany"

A developmental trajectory supporting the evaluation and achievement of competencies: Articulating the Mastery Rubric for the nurse practitioner (MR-NP) program curriculum by Tractenberg, Rochelle E, Wilkinson, Melody R, Bull, Amy W, Pellathy, Tiffany P, Riley, Joan B

“…Advanced practice registered nursing (APRN) competencies exist, but there is no structure supporting the operationalization of the competencies by APRN…”
Get full text

A call to alarms: Current state and future directions in the battle against alarm fatigue by Hravnak, Marilyn, Pellathy, Tiffany, Chen, Lujie, Dubrawski, Artur, Wertz, Anthony, Clermont, Gilles, Pinsky, Michael R.

“…Research demonstrates that the majority of alarms derived from continuous bedside monitoring devices are non-actionable. This avalanche of unreliable alerts…”
Get full text

Accuracy of identifying hospital acquired venous thromboembolism by administrative coding: implications for big data and machine learning research by Pellathy, Tiffany, Saul, Melissa, Clermont, Gilles, Dubrawski, Artur W., Pinsky, Michael R., Hravnak, Marilyn

“…Big data analytics research using heterogeneous electronic health record (EHR) data requires accurate identification of disease phenotype cases and controls…”
Get full text

Strategies for success in a nursing PhD program and beyond by Fisher, Marlena C., Gray, Tamryn F., Uveges, Melissa K., Heinze, Katherine E., Pellathy, Tiffany P., Parrillo, Elaina, Hravnak, Marilyn, Nolan, Marie T.

“…The purpose of this article is to inform newly enrolled PhD students of program expectations, strategies for success, and next steps in the career of a nurse…”
Get full text

Shared Decision Making in High Risk Settings: Frail Patients’ Perceptions of Preoperative Goal Clarification Consultation By Palliative Care Specialists by Pellathy, Tiffany P., Rodriguez, Keri L., Hruska, Kristina L., Kennedy, Kayla A., Hall, Daniel E.

Get full text

1234: MEDICAL EMERGENCY TEAM CALLS TO WARD PATIENTS AFTER DOWN-TRANSFER FROM AN ICU by Hravnak, Marilyn, Clermont, Gilles, Helman, Stephanie, Pellathy, Tiffany, Lagattuta, Theodore, Saul, Melissa, George, Betsy, Pinsky, Michael, Al-Zaiti, Salah

Get full text

556: USER-ENGAGED DESIGN OF A GRAPHICAL USER INTERFACE FOR INSTABILITY DECISION SUPPORT IN THE ICU by Helman, Stephanie, Terry, Martha Ann, Hravnak, Marilyn, Tiffany, Pellathy, George, Betsy, Pinsky, Michael, Al-Zaiti, Salah, Clermont, Gilles

Get full text

Engaging clinicians early during the development of a graphical user display of an intelligent alerting system at the bedside by Helman, Stephanie, Terry, Martha Ann, Pellathy, Tiffany, Williams, Andrew, Dubrawski, Artur, Clermont, Gilles, Pinsky, Michael R., Al-Zaiti, Salah, Hravnak, Marilyn

“…Artificial Intelligence (AI) is increasingly used to support bedside clinical decisions, but information must be presented in usable ways within workflow…”
Get full text

Intensive Care Unit Scoring Systems by Pellathy, Tiffany Purcell, Pinsky, Michael R., Hravnak, Marilyn

“…BACKGROUNDIllness severity scoring systems are commonly used in critical care. When applied to the populations for whom they were developed and validated,…”
Get full text

ICU Scoring Systems by Pellathy, Tiffany Purcell, Pinsky, Michael R., Hravnak, Marilyn

Get full text

A developmental trajectory supporting the evaluation and achievement of competencies: Articulating the Mastery Rubric for the nurse practitioner by Tractenberg, Rochelle E, Wilkinson, Melody R, Bull, Amy W, Pellathy, Tiffany P, Riley, Joan B

“…Background Advanced practice registered nursing (APRN) competencies exist, but there is no structure supporting the operationalization of the competencies by…”
Get full text

Engaging Multidisciplinary Clinical Users in the Design of an Artificial Intelligence-Powered Graphical User Interface for Intensive Care Unit Instability Decision Support by Helman, Stephanie, Terry, Martha Ann, Pellathy, Tiffany, Hravnak, Marilyn, George, Elisabeth, Al-Zaiti, Salah, Clermont, Gilles

“…Critical instability forecast and treatment can be optimized by artificial intelligence (AI)-enabled clinical decision support. It is important that the…”
Get full text

58: IDENTIFYING TIME INTERVAL FEATURES PREDICTIVE OF HOSPITAL-ACQUIRED VENOUS THROMBOEMBOLISM by Pellathy, Tiffany, Chen, Lujie, Clermont, Gilles, Dubrawski, Artur, Pinsky, Michael, Hravnak, Marilyn

Get full text

38: SUFFICIENT SAMPLING FREQUENCY FOR MACHINE LEARNING TO SEPARATE MONITORING ARTIFACT FROM INSTABILITY by Wertz, Anthony, Hravnak, Marilyn, Dubrawski, Artur, Chen, Lujie, Pellathy, Tiffany, Clermont, Gilles, Pinsky, Michael

Get full text

205: ACCURACY OF IDENTIFYING VENOUS THROMBOEMBOLISM BY ADMINISTRATIVE CODING COMPARED TO MANUAL REVIEW by Pellathy, Tiffany, Saul, Melissa, Clermont, Gilles, Nagpal, Chirag, Dubrawski, Artur, Pinsky, Michael, Hravnak, Marilyn

Get full text

1257: BINARIZED SEVERITY LEVEL OF FUTURE INSTABILITY RISK IN CONTINUOUSLY MONITORED PATIENTS by Chen, Lujie, Dubrawski, Artur, Clermont, Gilles, Pellathy, Tiffany, Wertz, Anthony, Yoon, Joo Heung, Pinsky, Michael, Hravnak, Marilyn

Get full text

Predicting Dynamically Evolving New-Onset Venous Thromboembolic (VTE) Event Risk in Hospitalized Patients by Pellathy, Tiffany Purcell, Saul, Melissa, Pinsky, Michael R, Hravnak, Marilyn

“…Background. Hospital acquired (HA) venous thromboembolism (VTE) is the leading cause of preventable hospital death. VTE pathology and symptoms evolve slowly…”
Get full text

Semi-Supervised Prediction of Comorbid Rare Conditions Using Medical Claims Data by Nagpal, Chirag, Miller, Kyle, Pellathy, Tiffany, Hravnak, Marilyn, Clermont, Gilles, Pinsky, Michael, Dubrawski, Artur

“…Medical insurance claims data offer a coarse view of a patient's medical profile, including information about previous diagnoses and procedures performed…”
Get full text