2022 International Conference on Life, Health and Modern Medicine

LHMM001 AUTOMATED IDENTIFICATION AND QUANTIFICATION OF TRAUMATIC BRAIN INJURY FROM CT SCANS: ARE WE THERE YET? Atsuhiro Hibia, Majid Jaberipourb, Michael D. Cusimanoa,c, Alexander Bilbilyb,d, Rahul G. Krishnane,f, Richard I. Avivg, Pascal N. Tyrrella,b,h aInstitute of Medical Science, University of Toronto, Toronto, Ontario, Canada,bDepartment of Medical Imaging, University of Toronto, Toronto, Ontario, Canada,cDivision of Neurosurgery, St Michael’s Hospital, University of Toronto, Toronto, Canada,dSunnybrook Health Sciences Centre, Toronto, Canada,eDepartment of Computer Science, University of Toronto, Toronto, Ontario, Canada,fDepartment of Laboratory Medicine & Pathobiology, University of Toronto, Toronto, Ontario, Canada,gDepartment of Radiology, Radiation Oncology and Medical Physics, University of Ottawa, Ottawa, Ontario, Canada,hDepartment of Statistical Sciences, University of Toronto, Toronto, Ontario, Canada Objectives: The purpose of this study was to conduct a systematic review for understanding the availability and limitations of artificial intelligence (AI) approaches that could automatically identify and quantify CT findings in traumatic brain injury (TBI). Methods: Systematic review, in accordance with PRISMA 2020 and SPIRIT-AI extension guidelines, with a search of four databases (Medline, Embase, IEEE Xplore, and Web of Science) was performed to find AI studies that automated the clinical tasks for identifying and quantifying CT findings of TBI-related abnormalities. Results: A total of 531 unique publications were reviewed, which resulted in 66 articles that met our inclusion criteria. The following components for identification and quantification regarding TBI were covered and automated by existing AI studies: identification of TBI-related abnormalities; classification of intracranial hemorrhage types; slice-, pixel-, and voxel-level localization of hemorrhage; measurement of midline shift; and measurement of hematoma volume. Automated identification of obliterated basal cisterns was not investigated in the existing AI studies. Most of the AI algorithms were based on deep neural networks that were trained on two- or three-dimensional CT imaging datasets. Conclusions: We identified several TBI-related CT findings that can be automatically identified and quantified with AI. A combination of these techniques may provide useful tools to enhance reproducibility of TBI identification and quantification by supporting radiologists and clinicians in their TBI assessments and reducing subjective human factors. Acknowledgements This work was supported by a research grant from Nippon Steel Corporation (Fund Number 509533). LHMM002 ELECTRONIC PUBLIC HEALTH EMERGENCY MANAGEMENT (EPHEM): AN INNOVATIVE APPROACH FROM THE WHO EASTERN MEDITERRANEAN REGIONAL OFFICE Ali Abdullaha, Osman El Mahala, Huda Haidar Anana, Samar Hammouda, Dalia Samhouria aCountry Health Emergency Preparedness and International Health Regulations (CPI), World Health Organization Health Emergency Programme (WHE), World Health Organisation Regional Office for the Eastern Mediterranean (WHO EMRO), Cairo, Egypt. Background: Countries continue to establish and rely on Public Health Emergency Operation Centres (PHEOCs) to facilitate a well-coordinated, multi sectorial, all hazard public health emergency management process. An information management system is a core component of a functioning PHEOC. To that end, World Health Organization Eastern Mediterranean Regional Office (WHO EMRO) developed the electronic Public Health Emergency Management (ePHEM). In Phase 1, the Online Signals Module, within ePHEM, was piloted in the WHO regional office and at country level and proved its practicality and functionality where it enhanced Watch and Alert Modes operations within the PHEOC. Methods: A system analysis was conducted in order to identify the business requirements for the software through consultations with relevant technical experts in WHO and member states. A bi-regional meeting including both EMRO and African Regional Office (AFRO) with 34 countries participating resulted in building consensus and drafting the software’s business and functional requirements. The system prototype was developed (named ePHEM phase 1), modified and piloted in two settings, one at the regional office to support signal detection and management and one at PHEOC setting in Sudan to support the overall watch and alert functions of the PHEOC. Results: Through piloting ePHEM Phase 1, the signal management has improved significantly. Staff for the first time were able to remotely manage signals while working from home. Scope of information, signal management, triage process, verification process, division of labor, documentation, accountability, validation, communication, access to information, user experience, monitoring and evaluation and data analysis has all seen improvements using ePHEM. ePHEM Phase 2 is ready for piloting in countries, awaiting conclusion of Phase 1 pilots. Conclusions: Piloting ePHEM Phase 1 demonstrated the benefits of an online solution, enabling EMRO to remotely realize all Watch-Mode and Alert-Mode functions. Employing the software resulted in cleaner data, particularly when utilized by multiple users in addition to enforcing Standard Operational Procedures. Automated Dashboards assisted in decision making process. Available access to information improved overall awareness. A fitting tailored IT solution plays a key role in alertness, rapid decision making and response. LHMM003 COMMON TYPES OF UNREASONABLE MEDICAL ORDERS FOR INTRAVENOUS MEDICATION AND CONSTRUCTION OF INTERVENTION SYSTEM Xuan Lianga aThe 940th Hospital of Joint Logistic Support Force of Chinese People’s Liberation Army, Lanzhou, Gansu, 730000, China Background: This study aims to enhance pharmacists’ ability to review intravenous drug prescriptions or medical orders, standardize clinical intravenous medication, maximally avoid the safety risks in unreasonable intravenous drug prescriptions or medical orders, standardize drug allocation and delivery process, and improve the rationality in intravenous medication. Subjects and Methods: The unreasonable medical orders for intravenous medication in clinical practice were analyzed statistically, including drug concentration, dose, compatibility, inappropriate solvent, etc. Based on the workflow of “eight reviews and eight verifications,” the prescription was reviewed from 10 aspects of “drug concentration, dose, incompatibility, solvent, drug user, medication method, potential danger, whether skin test is needed, same drug with different drug name and drug name writing standard,” and verified from 10 aspects of “medical order, dispensing, drug division, warehouse entry, compatibility, warehouse exit, packaging, delivery, ward reception, and patient medication” to build the intervention system of “ten reviews and ten verifications.” Effort is needed to build information and feedback platform for intravenous clinical medication, strengthen the training of pharmacists’ professional ability to improve pharmacists’ intervention level and ability in clinical intravenous medication. Results: The level and quality of rational intravenous drug use in hospitals are significantly improved, and unreasonable medical orders and irrational prescriptions before drug use are maintained a level of less in Conclusions: The “ten reviews and ten intervention system for intravenous medication maximally irrational drug prescription or unreasonable medical orders, the patient safety in intravenous medication, and for the safety of intravenous medication in OF OF of Science, of & of & University of and to this Background: This study through on in and the and by which with it is to and the and health of and provide a for reducing through a of to the and not for a it a on it is to to Subjects and Methods: from a in China and by to the for and were from the of with and were and while that was the same in the two with two the and the and for an and the use to test the and the and the test Results: in are in and are in the level of and can which a role in the and of Conclusions: 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