Digital Health–Enabled Community-Centered Care: Scalable Model to Empower Future Community Health Workers Using Human-in-the-Loop Artificial Intelligence

Rodrigues, Sarah; Kanduri, Anil; Nyamathi, Adey; Dutt, Nikil; Khargonekar, Pramod P.; Rahmani, Amir M.

doi:10.2196/29535

Cited by 17 publications

(6 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Other studies have also reported the use of mobile technologies to support continuing education, supervision, service delivery and surveillance. 69,97,98 Nevertheless, to realize these advantages, careful attention must be given to the design and timing of technologically oriented support strategies. These strategies must be both user-friendly and su ciently adaptable, enabling participants to access them at their convenience.…”

Section: Discussionmentioning

confidence: 99%

Supervision and Support Interventions Targeted at Community Health Workers in Sub-Saharan Africa: A Systematic Review to Identify Characteristics Associated with Successful Outcomes

Ekpin,

Nwankwo,

Akwaowo

et al. 2024

Preprint

View full text Add to dashboard Cite

Background Community Health Workers (CHWs) are crucial in extending healthcare to underserved areas in sub-Saharan Africa (SSA), but they often face challenges like limited training, resources, and support. Effective supervision and support interventions are essential for enhancing CHW performance and improving health outcomes. This study therefore explores the characteristics of supervision and support interventions targeted at CHWs in SSA that contribute to successful outcomes. Methods A search of four electronic databases (MEDLINE, EMBASE, Web of Science and Global Index Medicus) and grey literature sites was done for studies published between January 2013 and January 2024. Eligible studies were those focusing on CHWs and interventions involving supervision and support in SSA. The methodological quality of the included studies was assessed, and data extracted were analyzed using thematic and content analyses. Results Of 4,169 articles identified, fifty-five were included in the synthesis. Four main intervention types were identified: supervision, job aids, incentives, and training. Successful outcomes were measured through service delivery, program, and staff metrics. Fifty-two studies were assessed to have successful outcomes, and these were marked by ten key characteristics. These included material resource allocation, training and continuing education, stakeholder engagement, integration into existing systems, proper administration and logistics, supportive supervision, quality management, digitization, incentivization, and the enhancement of existing modalities. Leadership, governance and environmental factors emerged as important contextual factors in intervention success. Conclusion This study highlights the multifaceted nature of supervision and support interventions, highlighting essential characteristics for successful outcomes. Considering these characteristics during program design can enhance success rates. Future research should prioritize the cost-effectiveness, long-term impact, and sustainability of CHW programs in SSA.

show abstract

Section: Discussionmentioning

confidence: 99%

Supervision and Support Interventions Targeted at Community Health Workers in Sub-Saharan Africa: A Systematic Review to Identify Characteristics Associated with Successful Outcomes

Ekpin,

Nwankwo,

Akwaowo

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…The Digital Health for the Future of Community-Centered Care (D-CCC) ( 32 ) research project aims to explore the integration of technology and community health workers in order to enhance healthcare delivery for underserved communities. Specifically focusing on the elderly population, the project seeks to develop a symbiotic relationship between humans and technology, enabling the design of new technologies that can assist community health workers in providing more effective support.…”

Section: Use Casesmentioning

confidence: 99%

ZotCare: a flexible, personalizable, and affordable mhealth service provider

Labbaf,

Abbasian,

Azimi

et al. 2023

Front. Digit. Health

Self Cite

View full text Add to dashboard Cite

The proliferation of Internet-connected health devices and the widespread availability of mobile connectivity have resulted in a wealth of reliable digital health data and the potential for delivering just-in-time interventions. However, leveraging these opportunities for health research requires the development and deployment of mobile health (mHealth) applications, which present significant technical challenges for researchers. While existing mHealth solutions have made progress in addressing some of these challenges, they often fall short in terms of time-to-use, affordability, and flexibility for personalization and adaptation. ZotCare aims to address these limitations by offering ready-to-use and flexible services, providing researchers with an accessible, cost-effective, and adaptable solution for their mHealth studies. This article focuses on ZotCare’s service orchestration and highlights its capabilities in creating a programmable environment for mHealth research. Additionally, we showcase several successful research use cases that have utilized ZotCare, both in the past and in ongoing projects. Furthermore, we provide resources and information for researchers who are considering ZotCare as their mHealth research solution.

show abstract

“…A implementação de IA acarreta alguns desafios, nomeadamente ter bancos de dados disponíveis e com qualidade para treinar os sistemas ou dificuldade na generalização do modelo a diferentes populações com diferentes características (Wartman & Combs, 2019). Rodrigues et al (2022) apresentaram um modelo de cuidados de saúde digital centrado na comunidade que visava apoiar e ampliar a pegada digital dos agentes comunitários de saúde, através de uma plataforma digital de circuito fechado potenciada por IA. Verificaram que as tecnologias digitais existentes carecem de integração.…”

Section: Inteligência Aumentadatecnologiaunclassified

Proposta De Um Modelo Digital De Reconciliação Terapêutica Com Recurso a Blockchain E Inteligência Artificial

Albuquerque¹,

Sardinha

Albuquerque³

et al. 2023

View full text Add to dashboard Cite

O Registo de Saúde Eletrónico (RSE) é o resultado da mudança do atual sistema de saúde, influenciado pela inovação, integração e partilha de dados clínicos. O RSE deve incluir sumário clínico dos pacientes, prescrições eletrónicas, registo eletrónico de dispensa de medicação, resultados laboratoriais, imagens e/ou relatórios médicos e notas de alta hospitalar. A prescrição médica e a administração de terapêutica são dos erros evitáveis mais comuns em Saúde, a sexta maior causa de morte nos EUA e uma prioridade para a Organização Mundial de Saúde desde que lançou a iniciativa “Medication Without Harm”. Os objetivos deste trabalho são: i) apresentar um modelo digital de reconciliação terapêutica; ii) propor uma solução interoperável e legalmente conforme; iii) integrar a tecnologia Blockchain e Inteligência Artificial no modelo apresentado. Através de uma revisão bibliográfica descritiva e exploratória, propôs-se a utilização dos “standards” HL7 FHIR e SNOMED-CT, modelo “client-CA” para a Blockchain e modelos de “machine learning” e “natural language processing” para a Inteligência Artificial. É complexo garantir a transmissão de dados clínicos de forma interoperável e segura, mas teoricamente exequível. As vantagens ao nível da reconciliação terapêutica serão mensuráveis com a contínua diminuição da morbimortalidade associada ao erro terapêutico.

show abstract

Digital Health–Enabled Community-Centered Care: Scalable Model to Empower Future Community Health Workers Using Human-in-the-Loop Artificial Intelligence

Cited by 17 publications

References 54 publications

Supervision and Support Interventions Targeted at Community Health Workers in Sub-Saharan Africa: A Systematic Review to Identify Characteristics Associated with Successful Outcomes

Supervision and Support Interventions Targeted at Community Health Workers in Sub-Saharan Africa: A Systematic Review to Identify Characteristics Associated with Successful Outcomes

ZotCare: a flexible, personalizable, and affordable mhealth service provider

Proposta De Um Modelo Digital De Reconciliação Terapêutica Com Recurso a Blockchain E Inteligência Artificial

Contact Info

Product

Resources

About