Designing a prototype trauma registry framework for a tertiary health institution in a low- and middle-income country: A qualitative study.

Introduction: Low- and middle-income countries experience high injury-related mortality rates, with road traffic crashes being a significant contributor in Nigeria. Data from trauma registries are crucial for designing and advocating for trauma intervention programmes. However, there is limited research to inform the development of trauma registries in a Nigerian setting.

USE OF NATIONAL HEALTH MANAGEMENT INFORMATION SYSTEM (NHMIS) INFORMATION AT FACILITY AND LOCAL GOVERNMENT LEVEL IN OYO STATE: A CASE FOR ARTIFICIAL INTELLIGENCE (AI) TOOLS.

Introduction: The National Health Management Information System (NHMIS) is vital for healthcare decision-making in Nigeria. However, effectiveness requires optimal information use including at the facility and local government level.

Objective: We assessed the use of information derived from the NHMIS and factors associated with information use at selected facilities and Local Government Areas (LGAs) in Oyo State.

Smart and Sustainable 3D-Printed Nanocellulose-Based Sensors for Food Freshness Monitoring.

Annually, about one-third of the food produced around the world is wasted due to spoilage. Food contamination and spoilage, along with the use and disposal of nondegradable packaging materials, impact human health and have huge economic and sustainability implications. Achieving sustainability within the food system requires innovative solutions to reduce the environmental footprint.

High drug-pathogen mismatch in the management of invasive carbapenem-resistant infections at a tertiary hospital in Nigeria.

Objectives: This study aims to provide lacking data on antibiotics and treatment strategies used in the management of carbapenem-resistant (CRE) infections in Nigeria.

Methods: A cross-sectional study was carried out at the University College Hospital in Ibadan. CRE isolated from routine culture of specimens from hospitalized patients from December 2021 to September 2022 was identified.

A qualitative exploration of barriers to efficient and effective structured medication reviews in primary care: Findings from the DynAIRx study.

Introduction: Structured medication reviews (SMRs), introduced in the United Kingdom (UK) in 2020, aim to enhance shared decision-making in medication optimisation, particularly for patients with multimorbidity and polypharmacy. Despite its potential, there is limited empirical evidence on the implementation of SMRs, and the challenges faced in the process. This study is part of a larger DynAIRx (Artificial Intelligence for dynamic prescribing optimisation and care integration in multimorbidity) project which aims to introduce Artificial Intelligence (AI) to SMRs and develop machine learning models and visualisation tools for patients with multimorbidity.