Background: The global health system remains determined to leverage on every workable opportunity, including artificial intelligence (AI) to provide care that is consistent with patients' needs. Unfortunately, while AI models generally return high accuracy within the trials in which they are trained, their ability to predict and recommend the best course of care for prospective patients is left to chance.
Purpose: This review maps evidence between January 1, 2010 to December 31, 2023, on the perceived threats posed by the usage of AI tools in healthcare on patients' rights and safety.
Background: Telemedicine, which is the practice of medicine using technology to deliver health care remotely, has a low adoption rate in low- and middle-income countries (LMICs). However, the advent of coronavirus disease 2019 (COVID-19) has forced healthcare systems in these settings to begin implementing telemedicine programs. It is unknown how prepared health professionals and the healthcare system are to adopt this technology.
View Article and Find Full Text PDFBackground: The demand for quality maternal and child health (MCH) data is critical for tracking progress towards attainment of the Sustainable Development Goal 3. However, MCH cannot be adequately monitored where health data are inaccurate, incomplete, untimely, or inconsistent. Thus, this study assessed the level of MCH data quality.
View Article and Find Full Text PDFBackground: Electronic health records (EHRs) are useful tools in healthcare settings but implementation in low and middle-income countries (LMIC) face challenges.
Objective: To explore post-implementation challenges affecting the deployment of EHRs and their use in selected health facilities in Ghana.
Method: Using a qualitative research approach, 21 in-depth interviews were conducted with health workers in two hospitals in the study area in Ghana, in February and June 2020.