Fr611 Diagnostic accuracy of artificial intelligence system in detecting colon polyps: Multicenter, international computer aided polyp detection (C3PO) trial
Abstract:
Fr590 CANNABIS HYPEREMESIS SYNDROME CAN CAUSE SIGNIFICANT FINANCIAL BURDEN ON PATIENTS AND THE HEALTHCARE SYSTEM Mobashshir Alam, Muhammad Z. Ashfaq, Mohammed Qasswal, Yazan Addasi, Ryan W. Walters, Sandeep Mukherjee Background: Cannabis hyperemesis syndrome (CHS) is an increasingly recognized cause of morbidity due to the widespread use of cannabis in the general population. Prior studies have explored the characteristics of patients with CHS but its impact on healthcare utilization has yet to be evaluated. We initiated a descriptive case series exploring the common character-istics and evaluation of patients diagnosed with CHS and the cost burden at our institution. Methods: A recursive review of our institution’ s electronic medical record was performed using ICD-9 and ICD-10 codes for CHS from January 2014 to July 2020. Eligibility criteria included …
Año de publicación:
2021
Keywords:
Fuente:

Tipo de documento:
Other
Estado:
Acceso abierto
Áreas de conocimiento:
- Inteligencia artificial
- Ciencias de la computación
Áreas temáticas:
- Medicina y salud
- Ciencias de la computación
- Física aplicada