Introduction: the Growing Expertise in E-health Knowledge and Skills (GEEKS) program is an applied apprenticeship program that aims to improve informatics capacity at various levels of the national health system and create a sustainable informatics workforce. Nigeria adapted the GEEKS model in 2019 as a mechanism to strengthen data quality and use of routine immunization (RI) and vaccine-preventable disease (VPD) surveillance data among Expanded Programme on Immunization (EPI) staff. Since the start of the GEEKS-EPI program, there has not been a formal assessment conducted to measure the extent to which GEEKS-EPI has been able to build local informatics workforce capacity and strengthen RI and VPD surveillance (VPDS) data quality and use in Nigeria.
Methods: we conducted a qualitative assessment to inform the extent to which GEEKS-EPI has been able to build informatics skillsets to enhance local workforce capacity, foster collaboration across government agencies, and create a sustainable informatics workforce in Nigeria. In-Depth Interviews (IDIs) and Focus Group Discussions (FGDs) were held with GEEKS-EPI supervisors, mentors, and mentees from previous GEEKS-EPI cohorts.
Results: while there were challenges reported during early implementation of the GEEKS-EPI program in Nigeria, particularly early on in the COVID-19 pandemic, participants and supervisors reported that the fellowship provided a framework for building a sustainable RI and VPDS informatics workforce through regular mentorship, peer-to-peer exchanges and Subject Matter Expert (SME)-led trainings.
Conclusion: lessons learned from early implementation of GEEKS-EPI in Nigeria will help to inform its implementation in other countries, where strengthened national RI and VPDS informatics capacity is the primary objective.
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http://dx.doi.org/10.11604/pamj.2023.46.81.38588 | DOI Listing |
J Med Internet Res
January 2025
Department of Health Services Research Management, AI and Digital Health Lab (Centre for Healthcare Innovation Research), City St George's University, London, United Kingdom.
User trust is pivotal for the adoption of digital health systems interventions (DHI). In response, numerous trust-building guidelines have recently emerged targeting DHIs such as artificial intelligence. The common aim of these guidelines aimed at private sector actors and government policy makers is to build trustworthy DHI.
View Article and Find Full Text PDFCurr Cardiol Rep
January 2025
Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT, USA.
Purpose Of Review: Significant inequities persist in hypertension detection and control, with minoritized populations disproportionately experiencing organ damage and premature death due to uncontrolled hypertension. Remote blood pressure monitoring combined with telehealth visits (RBPM) is proving to be an effective strategy for controlling hypertension. Yet there are challenges related to technology adoption, patient engagement and social determinants of health (SDoH), contributing to disparities in patient outcomes.
View Article and Find Full Text PDFAge Ageing
January 2025
Centre for Research in Public Health and Community Care (CRIPACC), University of Hertfordshire, College Lane, Hatfield, UK.
Background: We developed a prototype minimum data set (MDS) for English care homes, assessing feasibility of extracting data directly from digital care records (DCRs) with linkage to health and social care data.
Methods: Through stakeholder development workshops, literature reviews, surveys and public consultation, we developed an aspirational MDS. We identified ways to extract this from existing sources, including DCRs and routine health and social care datasets.
Healthcare (Basel)
January 2025
Department of Clinical Data Management and Research, Clinical Research Center, National Hospital Organization Headquarters, 2-5-11 Higashigaoka, Meguro-ku, Tokyo 152-8621, Japan.
: Falls are common adverse events among hospitalized patients, affecting outcomes and placing a financial burden on patients and hospitals. This study investigated the relationship between nurse staffing/workload and patient falls during hospitalization. : The patients studied were hospitalized in the general wards (excluding pediatrics and obstetrics/gynecology) of 11 National Hospital Organization institutions between April 2019 and March 2020.
View Article and Find Full Text PDFInt J Environ Res Public Health
December 2024
Department of Surgery, John A. Burns School of Medicine, University of Hawai'i at Mānoa, Honolulu, HI 96813, USA.
As new artificial intelligence (AI) tools are being developed and as AI continues to revolutionize healthcare, its potential to advance health equity is increasingly recognized. The 2024 Research Centers in Minority Institutions (RCMI) Consortium National Conference session titled "Artificial Intelligence: Safely, Ethically, and Responsibly" brought together experts from diverse institutions to explore AI's role and challenges in advancing health equity. This report summarizes presentations and discussions from the conference focused on AI's potential and its challenges, particularly algorithmic bias, transparency, and the under-representation of minority groups in AI datasets.
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