Lane-Fall, Meghan B.
University of Pennsylvania
5 papers on CoChatORCID 0000-0001-7050-0017
Most cited papers
- Verified
Promises and pitfalls in implementation science from the perspective of US-based researchers: learning from a pre-mortem
Beidas, R. S., Dorsey, S., Lewis, C. C., Lyon, A. R., Powell, B. J., Purtle, J., Saldana, L., Shelton, R. C., Stirman, S. W., & Lane-Fall, M. B. (2022) · Implementation Science
Health Policy Implementation ScienceHealth Sciences Research and Education
Cited by 230
- Verified
Characteristics, Outcomes, and Trends of Patients With COVID-19–Related Critical Illness at a Learning Health System in the United States
Anesi, G. L., Jablonski, J., Harhay, M. O., Atkins, J. H., Bajaj, J., Baston, C., Brennan, P. J., Candeloro, C. L., Catalano, L. M., Cereda, M. F., et al. (2021) · Annals of Internal Medicine
COVID-19 Clinical Research StudiesRespiratory Support and Mechanisms
Cited by 115
- Verified
Clinician Perception of the Effectiveness of an Automated Early Warning and Response System for Sepsis in an Academic Medical Center
Guidi, J. L., Clark, K., Upton, M. T., Faust, H., Umscheid, C. A., Lane-Fall, M. B., Mikkelsen, M. E., Schweickert, W. D., Vanzandbergen, C. A., Betesh, J., et al. (2015) · Annals of the American Thoracic Society
Sepsis Diagnosis and TreatmentHealthcare Technology and Patient Monitoring
Cited by 43
- Verified
Artificial Intelligence in Anesthetic Care: A Survey of Physician Anesthesiologists
Estrada Alamo, C. E., Diatta, F., Monsell, S. E., & Lane-Fall, M. B. (2024) · Anesthesia & Analgesia
Artificial Intelligence in Healthcare and EducationArtificial Intelligence Applications
Cited by 36
- Verified
So Many Ways to Be Wrong: Completeness and Accuracy in a Prospective Study of OR-to-ICU Handoff Standardization
Conn Busch, J., Wu, J., Anglade, E., Peifer, H. G., & Lane-Fall, M. B. (2023) · The Joint Commission Journal on Quality and Patient Safety
Hospital Admissions and OutcomesPatient Safety and Medication Errors
Cited by 5
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