Victor Rwandarwacu

Federated modular clinical decision support networks for collaborative learning in resource-limited settings

Cécile Trottet, Jonathan Doenz, Pierrette M. Mastel, Victor Rwandarwacu et autres

Abstract Imperfect interoperability (IIO), where health facilities record different, often sparse subsets of clinical variables, remains a major barrier to deploying models trained with Federated Learning (FL) in global health settings. We introduce FedMoDN, a novel federated modular neural network architecture for …

ch, us, ie, Tanzanie (code pays fourni par la source)

Effectiveness of a digital clinical decision support algorithm for guiding antibiotic prescribing in pediatric outpatient care in Rwanda: A pragmatic cluster non-randomized controlled trial

Alexandra V. Kulinkina, Victor Rwandarwacu, Joseph Habakurama, Ludovico Cobuccio et autres

BACKGROUND: Poor adherence to clinical guidelines and diagnostic uncertainty are key contributors to antibiotic overprescription, accelerating antimicrobial resistance. We developed ePOCT+, a digital clinical decision support algorithm (previously published) that integrated oxygen saturation, hemoglobin measurements, and C-reactive protein testing to assist primary …

ch, Rwanda (code pays fourni par la source)

Federated Modular Clinical Decision Support Networks for Collaborative Learning in Resource-Limited Settings

Cécile Trottet, Jonathan Doenz, Pierrette M. Mastel, Victor Rwandarwacu et autres

ch, Tanzanie, us (code pays fourni par la source)

Clinical acceptance of a digital health clinical decision support algorithm for children in Tanzania and Rwanda: A mixed-method and before-after analysis from the DYNAMIC study

Aymeric Poitiers, Haykel Karoui, Margaret Jorram, Godfrey Kavishe et autres

ch, Tanzanie (code pays fourni par la source)

Effectiveness of a digital clinical decision support algorithm for guiding antibiotic prescribing in pediatric outpatient care in Rwanda: A pragmatic cluster non-randomized controlled trial

Alexandra V. Kulinkina, Victor Rwandarwacu, Joseph Habakurama, Ludovico Cobuccio et autres

Abstract Background Poor adherence to clinical guidelines and diagnostic uncertainty are key contributors to antibiotic overprescription, accelerating antimicrobial resistance—a major global health threat. We developed ePOCT+, a digital clinical decision support algorithm designed to assist primary care clinicians in the diagnostic process …

ch, Tanzanie, Rwanda (code pays fourni par la source)

Identifying clinical skill gaps of healthcare workers using a digital clinical decision support algorithm during outpatient pediatric consultations in primary health centers in Rwanda

Haykel Karoui, Victor Rwandarwacu, Antoinette Makuza, John Baptist Nkuranga et autres

Digital clinical decision support algorithms (CDSAs) that guide healthcare workers during consultations can enhance adherence to guidelines and the resulting quality of care. However, this improvement depends on the accuracy of inputs (symptoms and signs) entered by healthcare workers into the digital …

ch (code pays fourni par la source)

ePOCT+ Rwanda: A Clinical Decision Support Algorithm For Managing Sick Children Below 15 Years of Age in Primary Healthcare Settings

Vera von Kalckreuth, Victor Rwandarwacu, Ludovico Cobuccio, Théophile Dusengumuremyi et autres

Primary health systems in resource-constrained settings suffer from human resource shortages, low quality care, and diagnostic uncertainty, resulting in over-reliance on antibiotics, increasing risks of antimicrobial resistance. Digital clinical decision support algorithms (CDSAs) help healthcare workers adhere to clinical guidelines and improve …

ch, Rwanda (code pays fourni par la source)

Identifying clinical skill gaps of healthcare workers using a digital clinical decision support algorithm during outpatient pediatric consultations in primary health centers in Rwanda

Haykel Karoui, Victor Rwandarwacu, Antoinette Makuza, John Baptist Nkuranga et autres

Abstract Digital clinical decision support algorithms (CDSAs) that guide healthcare workers during consultations can enhance adherence to guidelines and the resulting quality of care. However, this improvement depends on the accuracy of inputs (symptoms and signs) entered by healthcare workers into the …

ch, sa (code pays fourni par la source)

ePOCT+ and the medAL-suite: Development of an electronic clinical decision support algorithm and digital platform for pediatric outpatients in low- and middle-income countries

Rainer Tan, Ludovico Cobuccio, Fenella Beynon, Gillian A. Levine et autres

Electronic clinical decision support algorithms (CDSAs) have been developed to address high childhood mortality and inappropriate antibiotic prescription by helping clinicians adhere to guidelines. Previously identified challenges of CDSAs include their limited scope, usability, and outdated clinical content. To address these challenges …

Tanzanie, ch, Kenya, Sénégal, in, nl, Rwanda (code pays fourni par la source)

ePOCT+ and the medAL-suite: Development of an electronic clinical decision support algorithm and digital platform for pediatric outpatients in low- and middle-income countries

Rainer Tan, Ludovico Cobuccio, Fenella Beynon, Gillian A. Levine et autres

ABSTRACT Electronic clinical decision support algorithms (CDSAs) have been developed to address high childhood mortality and inappropriate antibiotic prescription by helping clinicians adhere to guidelines. Previously identified challenges of CDSAs include its limited scope, usability, and outdated clinical algorithms. To address these …

Tanzanie, ch, Kenya, Sénégal, in, nl, Rwanda (code pays fourni par la source)