James Fackler

James Fackler

Johns Hopkins University

H-index: 38

North America-United States

About James Fackler

James Fackler, With an exceptional h-index of 38 and a recent h-index of 21 (since 2020), a distinguished researcher at Johns Hopkins University, specializes in the field of health care decision support.

His recent articles reflect a diverse array of research interests and contributions to the field:

Algorithms at the bedside: Moving past development and validation

1280: BLOODSTREAM INFECTION REDUCTION AFTER THE BRIGHT STAR PICU DIAGNOSTIC STEWARDSHIP COLLABORATIVE

Data, anomalies; a call to cease and desist

A machine‐learning approach for decision support and risk stratification of pediatric perioperative patients based on the APRICOT dataset

1132: MAKING PRISM EASY: DEVELOPMENT OF A STATA COMMAND FOR RISK-OF-MORTALITY CALCULATION

Predicting respiratory decompensation in mechanically ventilated adult ICU patients

60: PREDICTING CARDIAC ARREST IN THE PEDIATRIC INTENSIVE CARE UNIT USING MACHINE LEARNING

A pilot study to predict cardiac arrest in the pediatric intensive care unit

James Fackler Information

University

Position

The School of Medicine

Citations(all)

6177

Citations(since 2020)

1446

Cited By

5132

hIndex(all)

38

hIndex(since 2020)

21

i10Index(all)

81

i10Index(since 2020)

44

Email

University Profile Page

Johns Hopkins University

Google Scholar

View Google Scholar Profile

James Fackler Skills & Research Interests

health care decision support

Top articles of James Fackler

Title

Journal

Author(s)

Publication Date

Algorithms at the bedside: Moving past development and validation

Pediatric Critical Care Medicine

James Fackler

Kimia Ghobadi

Ayse P Gurses

2024/3/1

1280: BLOODSTREAM INFECTION REDUCTION AFTER THE BRIGHT STAR PICU DIAGNOSTIC STEWARDSHIP COLLABORATIVE

Critical Care Medicine

Charlotte Woods-Hill

Danielle Koontz

Elizabeth Colantuoni

Shaoming Xiao

Anping Xie

...

2024/1/1

Data, anomalies; a call to cease and desist

Pediatric Critical Care Medicine

Ellen Pittman

Meghan Bernier

James Fackler

2023/1/1

A machine‐learning approach for decision support and risk stratification of pediatric perioperative patients based on the APRICOT dataset

Pediatric Anesthesia

Geoffrey M Gray

Luis M Ahumada

Mohamed A Rehman

Anna Varughese

Allison M Fernandez

...

2023/9

1132: MAKING PRISM EASY: DEVELOPMENT OF A STATA COMMAND FOR RISK-OF-MORTALITY CALCULATION

Critical Care Medicine

Razvan Azamfirei

Colleen Mennie

Jim Fackler

Sapna Kudchadkar

2023/1/1

Predicting respiratory decompensation in mechanically ventilated adult ICU patients

Frontiers in Physiology

Yvette Tan

Michael Young

Akanksha Girish

Beini Hu

Zina Kurian

...

2023/4/14

60: PREDICTING CARDIAC ARREST IN THE PEDIATRIC INTENSIVE CARE UNIT USING MACHINE LEARNING

Critical Care Medicine

Adam Kenet

Rahul Pemmaraju

Sejal Ghate

Shreeya Raghunath

Yifan Zhang

...

2023/1/1

A pilot study to predict cardiac arrest in the pediatric intensive care unit

Resuscitation

Adam L Kenet

Rahul Pemmaraju

Sejal Ghate

Shreeya Raghunath

Yifan Zhang

...

2023/4/1

1050: REDUCING BLOOD CULTURE OVERUSE IN CRITICALLY ILL CHILDREN: SUSTAINABILITY OF THE BRIGHT STAR PROGRAM

Critical Care Medicine

Charlotte Woods-Hill

Elizabeth Colantuoni

Andy Kim

Shaoming Xiao

Anping Xie

...

2023/1/1

Large language models and the perils of their hallucinations

Critical Care

Razvan Azamfirei

Sapna R Kudchadkar

James Fackler

2023/3/21

Searching, again, for answers in all the wrong places

James Fackler

2023/11/1

Development of a Stata Command for Pediatric Risk of Mortality Calculation

Pediatric Critical Care Medicine

Razvan Azamfirei

Colleen Mennie

James Fackler

Sapna R Kudchadkar

2023/3/1

Application of participatory ergonomics to the dissemination of a quality improvement program for optimizing blood culture use

The Joint Commission Journal on Quality and Patient Safety

Anping Xie

Danielle W Koontz

Elizabeth A Colantuoni

Annie Voskertchian

Marlene R Miller

...

2023/10/1

Latent safety threats in the PICU: Finding the unseen

Pediatric Critical Care Medicine

Jessica M LaRosa

Anping Xie

James C Fackler

2022/3/1

Examining diurnal differences in multidisciplinary care teams at a pediatric trauma center using electronic health record data: social network analysis

Journal of Medical Internet Research

Ashimiyu Durojaiye

James Fackler

Nicolette McGeorge

Kristen Webster

Hadi Kharrazi

...

2022/2/4

57: DIAGNOSTIC STEWARDSHIP FOR BLOOD CULTURES IN CRITICALLY ILL CHILDREN: THE BRIGHT STAR COLLABORATIVE

Critical Care Medicine

Charlotte Woods-Hill

Elizabeth Colantuoni

Danielle Koontz

Annie Voskertchian

Anping Xie

...

2022/1/1

1306: CONTRIBUTORS TO PERCEIVED WORKLOAD STRAIN IN THE PEDIATRIC ICU

Critical Care Medicine

Amanda Levin

Jim Fackler

Michael Rosen

Salar Khaleghzadegan

Gayane Yenokyan

...

2022/1/1

A Research Agenda for Diagnostic Excellence in Critical Care Medicine

Christina L Cifra

Jason W Custer

James C Fackler

2022/1/1

Association of diagnostic stewardship for blood cultures in critically ill children with culture rates, antibiotic use, and patient outcomes: results of the bright STAR …

JAMA pediatrics

Charlotte Z Woods-Hill

Elizabeth A Colantuoni

Danielle W Koontz

Annie Voskertchian

Anping Xie

...

2022/7/1

Diagnostic errors in pediatric critical care: a systematic review

Christina L Cifra

Jason W Custer

Hardeep Singh

James C Fackler

2021/8/1

See List of Professors in James Fackler University(Johns Hopkins University)