Oxford open digital health最新文献

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Experiences, challenges and lessons while implementing a clinical decision support system in Botswana. 在博茨瓦纳实施临床决策支持系统的经验、挑战和教训。
Oxford open digital health Pub Date : 2025-10-01 eCollection Date: 2025-01-01 DOI: 10.1093/oodh/oqaf014
Kagiso Ndlovu, Nate Stein, Ruth Gaopelo, Mosadikhumo Monkge, Laura Moen, Mmoloki C Molwantwa
{"title":"Experiences, challenges and lessons while implementing a clinical decision support system in Botswana.","authors":"Kagiso Ndlovu, Nate Stein, Ruth Gaopelo, Mosadikhumo Monkge, Laura Moen, Mmoloki C Molwantwa","doi":"10.1093/oodh/oqaf014","DOIUrl":"10.1093/oodh/oqaf014","url":null,"abstract":"<p><p>The use of information and communication technologies in healthcare has given rise to mobile health applications and services. For the developing world, mobile health has been hailed as being valuable for extending access to healthcare to underserved populations. More recently, mobile health applications support clinicians to quickly navigate decision making processes. An exemplar decision support system, VisualDx, was implemented in Botswana to provide reference materials at the point of care to support early diagnosis and management of complex dermatological conditions. This study shares experiences, challenges and lessons learnt while implementing VisualDx in Botswana. An explanatory sequential mixed methods feasibility study was conducted with 28 healthcare providers stationed at 20 clinics and hospital sites across Botswana. Nine recorded training sessions were conducted via Zoom and participants thereafter interacted with VisualDx on varying use cases. Quantitative and qualitative data were collected via surveys and a semi-structured interview per participant. Standard VisualDx App usage data was also collected. Descriptive statistics were generated and analyzed. Thematic analysis of interview transcripts was performed using Delve. Experiences, challenges and lessons learned throughout VisualDx implementation in Botswana cut across; Infrastructure, Data protection compliance, Image data quality, Continuous training support, artificial intelligence regulation, Participants' retention and Sustainable digital health funding. The implementation of VisualDx in Botswana illustrates both the value and the challenges of cross-sector and cross-border collaboration in driving adoption of eHealth tools. The lessons learned may inform future strategy for implementation of other eHealth platforms in Botswana and other similar developing countries.</p>","PeriodicalId":520498,"journal":{"name":"Oxford open digital health","volume":"3 ","pages":"oqaf014"},"PeriodicalIF":0.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12492074/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145234284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Leveraging geospatial technology for effective health planning for maternal and child health in Nigeria. 利用地理空间技术为尼日利亚孕产妇和儿童健康进行有效的保健规划。
Oxford open digital health Pub Date : 2025-09-13 eCollection Date: 2025-01-01 DOI: 10.1093/oodh/oqaf021
Amina Aminu Dorayi, Sakina Amin Bello, Hafiz Saidu Yaro, Hauwa Usman, Olufemi Ibitoye, Praise Agbe, Ayobami Afape, Ayuba Utsahyel Hildi, Liz Futrell, Masduk Abdulkarim, Marc Levy, Johanna Snell, Olena Borkovska, Nuradeen Maidoki, Fatima Tafoki, Folarin Akinsomi, Olubayo Adekanmbi, Chinazo Anebelundu
{"title":"Leveraging geospatial technology for effective health planning for maternal and child health in Nigeria.","authors":"Amina Aminu Dorayi, Sakina Amin Bello, Hafiz Saidu Yaro, Hauwa Usman, Olufemi Ibitoye, Praise Agbe, Ayobami Afape, Ayuba Utsahyel Hildi, Liz Futrell, Masduk Abdulkarim, Marc Levy, Johanna Snell, Olena Borkovska, Nuradeen Maidoki, Fatima Tafoki, Folarin Akinsomi, Olubayo Adekanmbi, Chinazo Anebelundu","doi":"10.1093/oodh/oqaf021","DOIUrl":"10.1093/oodh/oqaf021","url":null,"abstract":"<p><p>Nigeria faces persistent challenges in maternal and child health, with some of the highest mortality rates globally. Despite efforts to expand health care access, gaps remain due in part to inefficient data systems and reliance on paper-based microplanning. The GeoST4R project aimed to address these challenges by integrating geospatial technology into microplanning. In 2024, GeoST4R piloted the Geospatial Microplanning Toolkit (GMT)-a mobile application that enables health workers to visualize, update and analyze spatial data for targeted interventions-in Kano and Kaduna states. From harmonizing data sources (including health facilities, settlements and infrastructure) to building capacities of health workers to use the Toolkit, this article highlights the Toolkit development and implementation process, lessons learned and recommendations for scaling and sustaining digital microplanning solutions to improve health outcomes across Nigeria. GeoST4R trained 275 health workers and engaged stakeholders in hands-on sessions to update baseline data, map outreach sites and refine catchment areas. This led to significant improvements in health data, including the addition of 922 new settlements, updates to 616 settlement names and revisions of 73 facility names. For the first time, 1008 outreach sites were mapped, enhancing service coverage and data integration. The intervention also contributed to improve maternal and child health outcomes, boosting contraceptive uptake, skilled birth attendance and immunization coverage, demonstrating the value of geospatial tools for better health planning.</p>","PeriodicalId":520498,"journal":{"name":"Oxford open digital health","volume":"3 ","pages":"oqaf021"},"PeriodicalIF":0.0,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12448180/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145116049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An exploration of the successful scale-up of the electronic community health information system in Kenya. 肯尼亚成功扩大电子社区卫生信息系统规模的探索。
Oxford open digital health Pub Date : 2025-09-13 eCollection Date: 2025-01-01 DOI: 10.1093/oodh/oqaf020
Salome Ireri, Peter Waiganjo, Daniel Orwa Ochieng, Michael Kagiri, Michael Anindo, Maureen Adoyo, Rachael Wanjiru, Joan Kirui, Raphael Pundo, Maureen Kimani, John Wanyungu
{"title":"An exploration of the successful scale-up of the electronic community health information system in Kenya.","authors":"Salome Ireri, Peter Waiganjo, Daniel Orwa Ochieng, Michael Kagiri, Michael Anindo, Maureen Adoyo, Rachael Wanjiru, Joan Kirui, Raphael Pundo, Maureen Kimani, John Wanyungu","doi":"10.1093/oodh/oqaf020","DOIUrl":"10.1093/oodh/oqaf020","url":null,"abstract":"<p><p>Healthcare delivery is swiftly evolving, adopting digital solutions to significantly enhance efficiency and effectiveness. To improve community health service delivery and advance Universal Health Coverage in Kenya, a countrywide Electronic Community Health Information System (eCHIS) was implemented. This study investigated the approaches, enablers and barriers influencing its scale-up from pilot to national level. A qualitative evaluation of the eCHIS scale-up process was conducted, involving key informant interviews with policymakers at the Ministry of Health Kenya, implementing partners and county health teams and focus group discussions with County Health Focal Persons from selected counties at the subnational level. eCHIS has been implemented countrywide. The Ministry of Health at the national level employed a sequential approach, where a pilot informed version two, which was then deployed county by county. Counties at the subnational level, however, had autonomy to select either sequential, deploying eCHIS incrementally in one subcounty at a time, or non-sequential, deploying eCHIS in all subcounties simultaneously, methods tailored to their specific context and factors. Scale-up enablers included strong leadership, supportive policies, adequate financing and resources, partnerships, readiness assessments, stakeholder engagement, contextual adaptation, training, monitoring and evaluation of outputs, infrastructure and interoperability and centralized management. Barriers included funding and resource limitations, logistical and infrastructure challenges, communication challenges and partner capacity shortfalls. This study explored these aspects of scale-up in depth and provides insights for policymakers and implementers navigating the complex landscape of Health Information Systems scale-up. These findings can inform the development of guidelines for future HIS scale-up efforts.</p>","PeriodicalId":520498,"journal":{"name":"Oxford open digital health","volume":"3 ","pages":"oqaf020"},"PeriodicalIF":0.0,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12448183/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145116021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Empowering community health workers in rural Ethiopia with blended learning: an offline mobile application to enhance trainings and healthcare services. 通过混合学习增强埃塞俄比亚农村社区卫生工作者的权能:一种线下移动应用程序,以加强培训和医疗保健服务。
Oxford open digital health Pub Date : 2025-09-09 eCollection Date: 2025-01-01 DOI: 10.1093/oodh/oqaf022
Etsegent Arega Asmamaw, Mark Ryan Begley, Temesgen Ayehu Bele, Ruth Diriba Debar, Tamene Feyissa Egnuni, Julie Anne Krause, Abraham Zerihun Megenetta, Israel Ataro Otoro, Tibebu Benyam Sado, Netsanet Fetene Wendmagegn
{"title":"Empowering community health workers in rural Ethiopia with blended learning: an offline mobile application to enhance trainings and healthcare services.","authors":"Etsegent Arega Asmamaw, Mark Ryan Begley, Temesgen Ayehu Bele, Ruth Diriba Debar, Tamene Feyissa Egnuni, Julie Anne Krause, Abraham Zerihun Megenetta, Israel Ataro Otoro, Tibebu Benyam Sado, Netsanet Fetene Wendmagegn","doi":"10.1093/oodh/oqaf022","DOIUrl":"10.1093/oodh/oqaf022","url":null,"abstract":"<p><strong>Introduction: </strong>This study addresses challenges in delivering in-service Integrated Refresher Training to 40 000 Health Extension Workers (HEWs) in rural Ethiopia. Through an offline multilingual mobile application, Extension Essentials (EE), it aims to improve their knowledge and skills through a less costly blended learning approach combining in-person facilitation with offline digital self-learning.</p><p><strong>Methods: </strong>In a pilot study from November 2021 to May 2022, a mixed-methods evaluation assessed knowledge, skills, satisfaction and cost-effectiveness of training focused on Reproductive, Maternal, Newborn and Child Health. HEWs and their supervisors were allocated by district into two groups: one receiving only conventional in-person training (conventional Integrated Refresher Training [IRT] control group) and the other using the mobile application for blended training (blended IRT treatment group). The evaluation utilized a quasi-experimental before-after matched comparison group design with 20 districts in the blended IRT treatment group study arm and 20 districts in the conventional IRT control group study arm. The blended IRT treatment group and conventional IRT control group sites were selected in consultation with the Ministry of Health using convenience sampling and matched based on location, population size and health infrastructure.</p><p><strong>Findings: </strong>Data showed learners engaged with the mobile app for an average of 2.8 hours per day (more than expected 2 hours) during self-learning, with high completion rates for activities (95%) and quizzes (88%). Learner knowledge scores improved significantly more from pre- to post-training in the blended IRT treatment group as compared to the conventional IRT control group (adjusted difference-in-differences: 2.01 percentage points, <i>P</i> = 0.001; 95% CI: 0.8-3.2), though the difference was not programmatically meaningful, indicating that both training modalities were similarly effective at improving knowledge. Skills assessment scores improved significantly in the blended IRT treatment group from 60% pre-training to 90% post-training (<i>P</i> < 0.001). There was no skill assessment conducted for the conventional IRT control group. Additionally, the blended approach reduced recurring training costs by 39% as compared to the conventional training.</p><p><strong>Conclusion: </strong>Findings indicate that the EE effectively enhances training through a flexible, user-friendly platform that addresses connectivity barriers and costs less than traditional methods, while yielding similar knowledge outcomes. Blended learning solutions are vital for scaling healthcare training in remote settings, warranting research on long-term impacts and broader applicability.</p>","PeriodicalId":520498,"journal":{"name":"Oxford open digital health","volume":"3 ","pages":"oqaf022"},"PeriodicalIF":0.0,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12461708/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145188219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Leveraging innovative technology and health data to enhance access to emergency care and referral services in Kenya. 利用创新技术和卫生数据,在肯尼亚增加获得紧急护理和转诊服务的机会。
Oxford open digital health Pub Date : 2025-08-22 eCollection Date: 2025-01-01 DOI: 10.1093/oodh/oqaf019
Daniela Pugsley Reis, Pamela Nawaggi, Anna Fraenzel, Caitlin Dolkart
{"title":"Leveraging innovative technology and health data to enhance access to emergency care and referral services in Kenya.","authors":"Daniela Pugsley Reis, Pamela Nawaggi, Anna Fraenzel, Caitlin Dolkart","doi":"10.1093/oodh/oqaf019","DOIUrl":"10.1093/oodh/oqaf019","url":null,"abstract":"<p><strong>Background: </strong>Access to timely emergency medical services is a persistent challenge in low- and middle-income countries, where systems are often fragmented and under-resourced. In Kenya, gaps in centralized dispatch, ambulance coverage and coordination have led to prolonged emergency response times.</p><p><strong>Methods: </strong>Rescue.co's proprietary Flare platform and services were implemented in urban and rural Kenya, and expanded to Uganda and Tanzania. This case examined operational data, dispatch records and platform iterations in Kenya from 2017 to 2025.</p><p><strong>Implementation: </strong>Rescue.co uses a proprietary tech stack-including global positioning system (GPS), Android devices, Google Maps application programming interface, and telecom tools-to enable real-time fleet coordination and route optimization. A 24/7 dispatch center staffed by trained personnel manages end-to-end response, using dispatch data to refine system performance and scalability.</p><p><strong>Outcomes: </strong>Rescue.co reduced average response times from >160 minutes to 13 minutes in urban areas and <30 minutes in rural regions in Kenya. By 2025, 47 000+ emergency responses had been coordinated, 800+ ambulance providers had been connected to the network, and 2000 health facilities had been linked.</p><p><strong>Conclusion: </strong>Rescue.co illustrates how a locally developed, scalable digital solution has transformed emergency medical services delivery in Kenya, with the potential to be scaled to other low- and middle-income countries. Its experience offers practical insights for health system leaders and policymakers advancing digital emergency care.</p>","PeriodicalId":520498,"journal":{"name":"Oxford open digital health","volume":"3 ","pages":"oqaf019"},"PeriodicalIF":0.0,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12418930/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145042814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Exploring barriers to IVR surveys and the effectiveness of human follow-up calls: insights from a mixed methods study in Uganda. 探索IVR调查的障碍和人类后续呼叫的有效性:来自乌干达混合方法研究的见解。
Oxford open digital health Pub Date : 2025-08-16 eCollection Date: 2025-01-01 DOI: 10.1093/oodh/oqaf017
Raymond Tweheyo, Dustin Gibson, Helen Kuo, Joe Ali, Michelle Kaufman, Andres Vecino Ortiz, Elizeus Rutebemberwa
{"title":"Exploring barriers to IVR surveys and the effectiveness of human follow-up calls: insights from a mixed methods study in Uganda.","authors":"Raymond Tweheyo, Dustin Gibson, Helen Kuo, Joe Ali, Michelle Kaufman, Andres Vecino Ortiz, Elizeus Rutebemberwa","doi":"10.1093/oodh/oqaf017","DOIUrl":"10.1093/oodh/oqaf017","url":null,"abstract":"<p><strong>Background: </strong>This study explored reasons why respondents neither initiate nor complete an interactive voice response (IVR) survey and whether call-backs by a human can increase subsequent IVR survey participation.</p><p><strong>Methods: </strong>We conducted a mixed methods study. Using random digit dialing (RDD), participants were sent an IVR survey (IVR-RDD) to their mobile phone. Participants from the IVR-RDD who either did not pick the phone or terminated the survey within two questions were contacted for a computer-assisted telephone interview (CATI) survey to assess reasons for non-participation. Following CATI completion, a similar IVR survey was sent (post-CATI IVR). Descriptive statistics and adjusted logistic regression models were conducted to assess differences in survey outcomes between the IVR-RDD and the post-CATI IVR groups.</p><p><strong>Results: </strong>A total of 23 288 IVR-RDD, 9740 CATI and 1000 post CATI IVR calls were made to yield 1.9%, 11.8% and 44.9% response rates, respectively. The most common reasons for non-response or drop-off to the IVR-RDD were being busy, misunderstanding IVR instructions and mistrust of the IVR caller. Compared to the IVR-RDD, the post-CATI IVR increased both contact rate, from [(2.9%; 669/23062) to (7.74%; 1758/22704); adjusted odds ratio (AOR) 2.81, 95% confidence interval (95%CI) 2.56, 3.08, <i>P</i> < 0.001] and response rate, from [(2.25%; 518/23062) to 4.54% (1031/22704); AOR 2.07, 95%CI 1.86, 2.30, <i>P</i> < 0.001], but no impact on the cooperation rate.</p><p><strong>Conclusions: </strong>Understanding reasons for survey non-response can allow for interventions to improve survey response. Introducing a human interviewer to those who did not complete the IVR survey improves subsequent IVR survey participation rates.</p>","PeriodicalId":520498,"journal":{"name":"Oxford open digital health","volume":"3 ","pages":"oqaf017"},"PeriodicalIF":0.0,"publicationDate":"2025-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12413760/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145017148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Access to mobile phone, socio-economic equity and maternal and child healthcare utilization in Rwanda: analysis of demographic and health surveys. 卢旺达的移动电话使用、社会经济公平和妇幼保健利用:人口和健康调查分析。
Oxford open digital health Pub Date : 2025-08-14 eCollection Date: 2025-01-01 DOI: 10.1093/oodh/oqaf018
Amare Tariku, Betelhem Abebe Andargie, Tesfahun Melese Yilma, Abdulaziz Mohammed, Adams Abera, Diwakar Mohan, Shivani Pandya, Lena Kan, Hinda Ruton, Meredith Kimball, Patricia Mechael, Smisha Agarwal, Binyam Tilahun
{"title":"Access to mobile phone, socio-economic equity and maternal and child healthcare utilization in Rwanda: analysis of demographic and health surveys.","authors":"Amare Tariku, Betelhem Abebe Andargie, Tesfahun Melese Yilma, Abdulaziz Mohammed, Adams Abera, Diwakar Mohan, Shivani Pandya, Lena Kan, Hinda Ruton, Meredith Kimball, Patricia Mechael, Smisha Agarwal, Binyam Tilahun","doi":"10.1093/oodh/oqaf018","DOIUrl":"10.1093/oodh/oqaf018","url":null,"abstract":"<p><p>Rwanda is harnessing digital health as a key strategy to improve optimal access to quality maternal and child health services, aiming to reduce maternal and child mortality and attain sustainable development goals. Evidence is essential to guide Rwanda's effort to integrate digital health technologies with maternal and child health service delivery. This study analyzed data from 2010, 2014/15 and 2019/20 Rwanda demographic and health surveys to explore trends and socio-economic equity in mobile phone ownership and its influence on reproductive and maternal health service utilization. Results showed a marked increase in household mobile phone ownership from 40% in 2010 to 71% in 2019/20. Significant pro-rich inequities in household mobile phone ownership were observed in 2010 (concentration index = 0.46), 2014/15 (concentration index = 0.28) and 2019/20 (concentration index = 0.22). Mobile phone was also higher among the educated in 2010 (slope index = 0.63), 2014/15 (slope index = 0.59), and 2019/20 (slope index = 0.50). Mobile phones were inequitably distributed favoring better-off (concentration index = 0.29) and educated women (slope index = 0.47), respectively. Women with mobile phone had significantly higher odds of attending four or more antenatal care visits [adjusted odds ratio (AOR) = 1.42, confidence interval (CI): 95% 1.16, 1.72] and ensuring full immunization in children aged 12-23 months [AOR = 1.61, CI: 95% 1.02, 2.55]. Differences in mobile phone ownership accounted 58% of the observed disparity in antenatal care utilization. These findings underscore that while there has been a substantial increase in mobile phone ownership, it remains unevenly distributed in Rwanda. Addressing these is critical to increasing coverage and equitable access to reproductive and maternal health services in Rwanda.</p>","PeriodicalId":520498,"journal":{"name":"Oxford open digital health","volume":"3 ","pages":"oqaf018"},"PeriodicalIF":0.0,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12413759/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145017129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Bridging the gap: A program case study of the Regional Telemedicine Center of an apex medical center in Southwestern Mindanao, Philippines. 弥合差距:菲律宾棉兰老岛西南部一个顶级医疗中心的区域远程医疗中心的项目案例研究。
Oxford open digital health Pub Date : 2025-07-09 eCollection Date: 2025-01-01 DOI: 10.1093/oodh/oqaf015
Jaime Kristoffer Punzalan, Mary Germeyn Punzalan, Jessa Mayet Sumatra-Mabalot, Tristan Jay Amit, Louie Virgil Gallardo, Marichelle Valeros, Afdal Kunting
{"title":"Bridging the gap: A program case study of the Regional Telemedicine Center of an apex medical center in Southwestern Mindanao, Philippines.","authors":"Jaime Kristoffer Punzalan, Mary Germeyn Punzalan, Jessa Mayet Sumatra-Mabalot, Tristan Jay Amit, Louie Virgil Gallardo, Marichelle Valeros, Afdal Kunting","doi":"10.1093/oodh/oqaf015","DOIUrl":"10.1093/oodh/oqaf015","url":null,"abstract":"<p><p>Telemedicine is increasingly recognized as a strategic solution for enhancing healthcare access in isolated areas like the Zamboanga Peninsula, Philippines. This study examines the implementation and factors affecting the adoption and effectiveness of the Zamboanga City Medical Center Regional Telemedicine Center, which facilitates specialist care and real-time provider collaboration. Despite its benefits in reducing travel and enhancing patient outcomes, adoption is hindered by challenges such as unreliable network connectivity and complex user interfaces. Key contextual factors-technical, organizational, ethical, financial, political, legal, and socioeconomic-necessitate comprehensive policy improvements, training, and infrastructure upgrades. The study concludes that the success of telemedicine depends on comprehensive support systems and standardized practices to ensure consistent quality and advance regional health coverage.</p>","PeriodicalId":520498,"journal":{"name":"Oxford open digital health","volume":"3 ","pages":"oqaf015"},"PeriodicalIF":0.0,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12282111/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144693023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Global South-led responsible AI solutions to strengthen health systems: an emergent research landscape. 全球南方主导的负责任的人工智能解决方案,以加强卫生系统:一个新兴的研究前景。
Oxford open digital health Pub Date : 2025-07-08 eCollection Date: 2025-01-01 DOI: 10.1093/oodh/oqaf016
Chaitali Sinha
{"title":"Global South-led responsible AI solutions to strengthen health systems: an emergent research landscape.","authors":"Chaitali Sinha","doi":"10.1093/oodh/oqaf016","DOIUrl":"10.1093/oodh/oqaf016","url":null,"abstract":"<p><p>Artificial intelligence (AI) solutions are being adopted across the globe, including the Global South, to address health needs and strengthen health systems. The rapid adoption of AI solutions provides tremendous potential to redress health inequities and strengthen health systems. It also entails substantial risks of deepening inequities, creating new forms of exclusion and weakening fragile health systems. Drawing on field-based case studies and interdisciplinary consultations, this paper presents an emergent research landscape that prioritizes health equity, gender equality, ethical safeguards, inclusive governance and Global South leadership. Three entry points for implementation research are proposed, which are situated within five cross-cutting prerequisites.</p>","PeriodicalId":520498,"journal":{"name":"Oxford open digital health","volume":"3 ","pages":"oqaf016"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12282117/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144693024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
'A tough nut to crack': inconsistent standards as roadblocks to data interoperability of health information systems in public hospitals in the Gauteng Province of South Africa. “难啃的硬骨头”:标准不一致是南非豪登省公立医院卫生信息系统数据互操作性的障碍。
Oxford open digital health Pub Date : 2025-07-01 eCollection Date: 2025-01-01 DOI: 10.1093/oodh/oqaf013
Kabelo Given Chuma
{"title":"'A tough nut to crack': inconsistent standards as roadblocks to data interoperability of health information systems in public hospitals in the Gauteng Province of South Africa.","authors":"Kabelo Given Chuma","doi":"10.1093/oodh/oqaf013","DOIUrl":"10.1093/oodh/oqaf013","url":null,"abstract":"<p><p>Standards are pivotal in achieving significant levels of data interoperability in the healthcare industry. However, inconsistent data standards and ambiguous guidelines stifle data interoperability in healthcare. Public sector hospitals in South Africa, particularly in Gauteng Province, face challenges in attaining data interoperability due to discrepancies in standards. This study investigates inconsistent standards as roadblocks to data interoperability of health information systems in public hospitals in the Gauteng Province of South Africa. A convergent parallel mixed methods research design was adopted, using an online questionnaire with 144 clinical and administrative personnel and semi-structured interviews with 16 managers. A multi-level sampling was used to select participants possessing the necessary expertise and experience in data interoperability and health information systems. Quantitative data were analyzed using SPSS for descriptive statistics, while qualitative data were thematically analyzed using the ATLAS.ti. The results indicated that hospitals in Gauteng adhere to multiple, conflicting standards, complicating data interoperability. Key factors contributing to this issue included legacy health systems, disparate systems, insufficient knowledge and awareness, weak regulations, and limited stakeholder collaboration. Furthermore, there was a notable lack of compliance with interoperability standards among hospitals. The study underscores the pressing need for coordinated efforts from policymakers, regulatory bodies, and health stakeholders to establish and enforce policies and standardized frameworks mandating uniform standards for interoperability. In conclusion, the cohesive implementation of uniform standards for data interoperability requires a holistic approach, incorporating clear policies, ongoing compliance monitoring, stakeholder collaboration, and continuous training to ensure the efficient exchange of healthcare data.</p>","PeriodicalId":520498,"journal":{"name":"Oxford open digital health","volume":"3 ","pages":"oqaf013"},"PeriodicalIF":0.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12279051/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144683996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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