Integration Of Tools Research Articles

Analyzing knowledge integration in convergence research

A pragmatic concern guides this perspective piece: How might researchers charged with leading convergence research better plan, design, implement, and evaluate the integrative processes and products of their research? We use a self-evaluation approach to assess the integrative processes and products of the first two years of a five-year National Science Foundation Growing Convergence Research project on addressing inland freshwater salinization. To examine the linkages between integration approaches and products, we analyzed the integrative qualities of fifteen research products and the collaborative processes used to generate these products. We found that large, heterogeneous teams with a broad mix of disciplines and professional expertise produced more interdisciplinary research products, but they relied on skilled integration by the leader, more intensive forms of collaboration, and inclusive problem framing. Teams that relied on deliberation by experts and used more consultative or cooperative mechanisms for engagement produced research that was more uni- or multi-disciplinary. We consider the efficacy of the various knowledge integration approaches used in this research and share empirically derived recommendations for designing, implementing, and evaluating convergence research. Our findings and lessons provide researchers at the helm of large-scale convergence and transdisciplinary research projects that address complex socio-environmental problems guidance on: (1) the planning and designing of projects with the explicit goal of knowledge integration; (2) the selection and implementation of appropriate knowledge integration approaches and tools; and (3) how knowledge integration can be conceptualized and evaluated for socio-environmental problems.

The Digitally Enabled Care Framework: Leveraging Technology to Enhance the Physician–Patient Relationship

Clinical medicine is transitioning from in-person care to digitally enabled care (DEC), a framework in which consumer-behavior research and technology are used to fully support patients in their care journey. The Covid-19 pandemic saw a rapid transformation from in-person to virtual care models, including televisiting and email messaging, but the urgency of the pandemic response limited the full development of these care models. The result has been a workflow crisis for physicians, who are juggling packed schedules with increased electronic documentation and an abundance of messages from patients in their inboxes. In this paper, the authors describe the features necessary for the successful implementation of a fully realized DEC framework. This framework has the potential to improve the value of health services for patients through DEC and extends beyond virtual visits, envisioning a comprehensive set of patient-directed services that are enabled by technology. The DEC framework considers the previsit, visit, and postvisit periods as having discrete sets of objectives and opportunities for the development and integration of new digital tools and strategies to help patients achieve their goals. In the previsit period, there are opportunities to foster active preparation, to improve condition-specific health literacy, and to reduce stress. During visits, there are opportunities to build engagement, reach agreement on care plans, and coordinate care in partnership with the patient. In the postvisit period, there are opportunities to reinforce the decisions reached during a visit, build patient engagement and activation, and facilitate the logistics of care. The authors discuss how the payment model for clinical services must evolve to support this new care paradigm.

Enhancing Urban Sustainability: Developing an Open-Source AI Framework for Smart Cities

To address the growing need for advanced tools that enable urban policymakers to conduct comprehensive cost-benefit analyses of traffic management changes, the Urbanite H2020 project has developed innovative artificial intelligence methods. Among them is a robust decision support system that assists policymakers in evaluating and selecting optimal urban mobility planning modifications by combining objective and subjective criteria. Utilising open-source microscopic traffic simulation tools, accurate digital models (or “digital twins”) of four pilot cities—Bilbao, Amsterdam, Helsinki, and Messina—were created, each addressing unique mobility challenges. These challenges include reducing private vehicle access in Bilbao’s city center, analysing the impact of increased bicycle traffic and population growth in Amsterdam, constructing a mobility-enhancing tunnel in Helsinki, and improving public transport connectivity in Messina. The research introduces five key innovations: the application of a consistent open-source simulation platform across diverse urban environments, addressing integration and consistency challenges; the pioneering use of Dexi for advanced decision support in smart cities; the implementation of advanced visualisations; and the integration of the machine learning tool, Orange, with a user-friendly GUI interface. These innovations collectively make complex data analysis accessible to non-technical users. By applying multi-label machine learning techniques, the decision-making process is accelerated by three orders of magnitude, significantly enhancing urban planning efficiency. The Urbanite project’s findings offer valuable insights into both anticipated and unexpected outcomes of mobility interventions, presenting a scalable, open-source AI-based framework for urban decision-makers worldwide.

Past, Present, and Future Perspectives on the Integration of AI Into Walkability Assessment Tools: A Systematic Review

This study employs a systematic literature review (PRISMA methodology) to investigate the integration of Artificial Intelligence (AI) in walkability assessments conducted between 2012 and 2022. Analyzing 34 articles exploring data types, factors, and AI tools, the review emphasizes the value of utilizing diverse datasets, particularly street view images, to train supersized AI models. This approach fosters efficient, unbiased assessments and offers deep insights into pedestrian environment interactions. Furthermore, AI tools empower walkability assessment by facilitating mapping, scoring, designing pedestrian routes, and uncovering previously unconsidered factors. The current shift from large-scale spatial data analysis (allocentric perspective) to a ground-level view (egocentric perspective) and physical and perceptual features of walking introduces a subjective lens into current walkability assessment tools. However, the efficacy of current methods in addressing non-visual aspects of human perception and their applicability across diverse demographics remains debatable. Finally, the lack of integration of emerging technologies like virtual/augmented reality and digital twin leaves a significant gap in research, inviting further study to determine their efficacy in enhancing the current methods and, in general, understanding the interaction of humans and cities.

The user-centered design and development of a childhood and adolescent obesity Electronic Health Record tool, a mixed-methods study.

Childhood and adolescent obesity are persistent public health issues in the United States. Childhood obesity Electronic Health Record (EHR) tools strengthen provider-patient relationships and improve outcomes, but there are currently limited EHR tools that are linked to adolescent mHealth apps. This study is part of a larger study entitled, CommitFit, which features both an adolescent-targeted mobile health application (mHealth app) and an ambulatory EHR tool. The CommitFit mHealth app was designed to be paired with the CommitFit EHR tool for integration into clinical spaces for shared decision-making with patients and clinicians. The objective of this sub-study was to identify the functional and design needs and preferences of healthcare clinicians and professionals for the development of the CommitFit EHR tool, specifically as it relates to childhood and adolescent obesity management. We utilized a user-centered design process with a mixed-method approach. Focus groups were used to assess current in-clinic practices, deficits, and general beliefs and preferences regarding the management of childhood and adolescent obesity. A pre- and post-focus group survey helped assess the perception of the design and functionality of the CommitFit EHR tool and other obesity clinic needs. Iterative design development of the CommitFit EHR tool occurred throughout the process. A total of 12 healthcare providers participated throughout the three focus group sessions. Two themes emerged regarding EHR design: (1) Functional Needs, including Enhancing Clinical Practices and Workflow, and (2) Visualization, including Colors and Graphs. Responses from the surveys (n = 52) further reflect the need for Functionality and User-Interface Design by clinicians. Clinicians want the CommitFit EHR tool to enhance in-clinic adolescent lifestyle counseling, be easy to use, and presentable to adolescent patients and their caregivers. Additionally, we found that clinicians preferred colors and graphs that improved readability and usability. During each step of feedback from focus group sessions and the survey, the design of the CommitFit EHR tool was updated and co-developed by clinicians in an iterative user-centered design process. More research is needed to explore clinician actual user analytics for the CommitFit EHR tool to evaluate real-time workflow, design, and function needs. The effectiveness of the CommitFit mHealth and EHR tool as a weight management intervention needs to be evaluated in the future.

Old Wine in New Bottles, or Novel Challenges? A Labour History Perspective on Digital Labour

Abstract A growing body of literature is challenging techno-fetishistic perspectives on digital capitalism, as well as claims of the start of a new era characterized by total automation. This article contributes to the ongoing debate on the implications of digital technology for the future of labour by reading Moritz Altenried's The Digital Factory (2022) through the lens of labour history. The use of digital factory and digital Taylorism as integrative tools significantly improves empirical evaluations of different digital labour environments. However, because of their high degree of abstraction, there are a number of limitations when applying these concepts to describe wildly disparate work environments. To illustrate these limits, I use examples from twentieth-century debates on technology and work autonomy, and (1) argue that a labour history perspective warns us against overgeneralizing the effects of technology on labour control and worker autonomy, and (2) broaden the discussion to larger issues of labour control before and during digitalization, incorporating new theoretical questions such as our understanding of classical Taylorism and, by extension, capitalism.

Integrating Classical Yoga and Modern Psychology: Insights from Neuroimaging and AI on Mind Transformation

Yoga is traditionally understood as a holistic practice that integrates physical, mental, and spiritual development. This paper explores how classical yoga concepts align with modern psychological research, emphasizing insights gained through neuroimaging and artificial intelligence (AI). By analyzing the stages of the mind, its modifications, and psychological afflictions from both traditional and contemporary perspectives, this study provides a comprehensive understanding of yoga’s impact on mental and emotional transformation. The integration of neuroimaging techniques and AI tools offers new ways to examine and enhance the efficacy of yoga practices in promoting mental clarity and emotional well-being.

An innovative distance learning platform for mathematics education in secondary schools: Design, development and preliminary studies

AbstractThis study addresses the emerging challenges in mathematics education, emphasizing the integration of innovative teaching strategies and tools amidst the evolving educational landscape. The study begins with an analysis of prevalent e-learning and communication systems in distance education, pinpointing their limitations and identifying the gaps in effective remote mathematics instruction. In response, we introduce a novel educational platform designed to facilitate real-time mathematics teaching over the Internet, aiming to replicate the interactive essence of traditional classroom settings within a digital domain. The system features a suite of tools including a mathematical editor, a virtual whiteboard, audio-video communication capabilities, a virtual library, and an evaluation support module, all accessible via a standard web browser. The platform’s effectiveness was assessed through its application in regular mathematics classes at two secondary schools in Romania, as well as in a private tutoring scenario. The paper presents the findings of these preliminary studies, offering insights into the usefulness and usability of the platform and its potential to seamlessly integrate into existing educational frameworks without compromising the quality of instruction.

Digital transformation of reading behaviors among allied health students: insights from medical libraries in Pakistan

Purpose The purpose of this paper is to assess the digital transformation of students' reading preferences and behaviors, considering the significant impact of digital resources accessible through the internet among allied health students. Design/methodology/approach The researchers used a structured questionnaire to collect data. The study focused on undergraduate allied health students from medical universities in Pakistan. The researchers used a convenient sampling technique. Data analysis was performed using statistical software packages R and SPSS. Findings The results indicate that allied health students frequently use databases, e-books and e-journals to fulfil their academics and research needs, aiding in the acquisition of up-to-date information and supporting various academic research pursuits. The study emphasizes the positive effects on the reading habits of allied health students, attributing these improvements to factors such as enhanced online databases, a broader array of materials and the integration of digital tools. However, challenges arise from the limited availability of relevant e-resources and the dispersion of information across various library sources. Originality/value This study provides valuable insights into the availability and utilization of e-resources among allied health students in Pakistan. It highlights the crucial role that digital resources play in shaping reading behaviors within the educational landscape. This study holds significance as it contributes to educational enhancement, proves beneficial for the improvement of university library resources and services and aids in the development of policies in health-care education.

Procedimento come principio inespresso. Proceeding as an Unexpressed Principle

This paper discusses the possibility pertaining to the field of a new principle of law theorised, according to the communion ecclesiology issued by the Second Vatican Council. By considering the accurate proceeding disposition, the author accepts that a new principle constitutes necessary rules for the correct functioning of the canon law system and, as such, are inducted from the legal reasoning of those entitled to take legal decisions in the process of applying the law, especially the judiciary. Furthermore, it could constitute an integrative tool of the entire legal system. Such a new principle is understood to be of great value, because of the significant role assigned to principles in the theory of law in general. In every case, a new principle evokes by, and alludes to, values that govern the entire canon law science.

Epigenetic Regulation for Heat Stress Adaptation in Plants: New Horizons for Crop Improvement under Climate Change

Global warming poses a significant threat to plant ecosystems and agricultural productivity, primarily through heat stress (HS), which disrupts photosynthesis, respiration, and overall plant metabolism. Epigenetic modifications, including DNA methylation, histone modifications, and RNA modifications, enable plants to dynamically and heritably adjust gene expression in response to environmental stressors. These mechanisms not only help plants survive immediate stress but also confer stress memory, enhancing their resilience to future HS events. This review explores the mechanisms underlying plant thermotolerance, emphasizing the critical role of epigenetic regulation in adapting to HS. It also highlights how DNA methylation modulates stress-responsive genes, histone modifications facilitate transcriptional memory, and RNA modifications influence mRNA stability and translation. Recent advancements in genome editing technologies, such as CRISPR-Cas9, have enabled precise modifications of epigenetic traits, offering new avenues for breeding climate-resilient crops. The integration of these modern tools with traditional breeding methods holds significant promise for developing crops with enhanced thermotolerance. Despite the potential, challenges such as the stability and heritability of epigenetic marks and the complex interplay between different epigenetic modifications need to be addressed. Future research should focus on elucidating these interactions and identifying reliable epigenetic markers for selection. By leveraging the insights gained from epigenetic studies, we can develop innovative breeding strategies to improve crop resilience and ensure sustainable agricultural productivity in the face of global warming. This review underscores the importance of epigenetic regulation in plant adaptation to heat stress and its potential to revolutionize crop breeding, offering a pathway to secure food production and sustainability under changing climatic conditions.

Measuring the Impact of Technological Evolutions on Fine Arts Competence Development

Technological evaluations have significantly enhanced college students’ fine arts competence development by providing advanced tools and platforms that foster creativity, improve technical skills, and enable innovative artistic expression. In this study 500 college students were mentioned as participators. The variables Technological Tools, Technical Proficiency, Advanced Technologies, Creativity and Innovation, Online Platforms, Skill Development, and Collaborative Competencies are built to evaluate various aspects of technological and creative capabilities in educational and professional settings. Fine arts competitions like the (Artificial Intelligence) AI art contest, digital choreography competition, and speech AI innovation challenge are held for the students to improve their skill development. The questionnaires are taken to measure the student's technological skills development based on before and after competitions. The SPSS software version 28 is used to statistically analyze the data with multiple regression analysis and pearson correlation analysis. The results showed that the integration of technological tools and platforms significantly improved college student's technical proficiency, creativity, and collaborative skills in fine arts. Students exhibited notable enhancements in skill development and engagement with advanced technologies post-competition. Technology significantly enhances fine arts education by improving students' artistic skills and collaboration. Embracing digital tools offers valuable opportunities to enrich curricula and foster innovation.

Real-time attending trauma surgeon assessment of direct-to-operating room trauma resuscitations: Results from a prospective observational study.

Direct-to-operating room (DOR) resuscitation expedites interventions for trauma patients. Perceived benefit from the surgeon's perspective is not well known. This study assesses the integration of a real-time surgeon assessment tool into a DOR protocol. Surgeon assessment tool results from a prospective study of DOR cases were analyzed. Analysis assessed patient factors and surgeon perception for appropriateness and benefit of DOR. Multivariate analysis identified independent factors associated with perceived DOR benefit. A total of 104 trauma patients underwent DOR resuscitation; 84% were perceived as appropriate triage, and 48% as beneficial. Patients with Injury Severity Score of >15 (50% vs. 28%), systolic blood pressure of <90 mm Hg (24% vs. 9%), and severe abdominal injury (28% vs. 9%) had higher perceived DOR benefits (all p < 0.05). Patients deemed to benefit from DOR underwent more emergent interventions or truncal surgery (44% vs. 92%, p < 0.01). No difference in benefit was seen based on age, sex, Glasgow Coma Scale score of <9, or injury mechanism. Forty-four percent had perceived benefit from DOR resuscitation despite requiring imaging after initial evaluation. Patients with perceived benefit had a higher rate of unplanned return to the operating room (16% vs. 2%, p < 0.05), but no differences in complication rates, Glasgow Outcome Score, or mortality. Injury Severity Score of >15 was the only independently associated variable with a perceived benefit on surgeon assessment tool (odds ratio, 3.5; p < 0.05). The majority of DOR resuscitations were deemed as appropriately triaged, and approximately half had a perceived benefit. Benefit was associated with higher injury severity and the need for urgent interventions but was not predicted by injury mechanism or other triage variables. Prognostic and Epidemiological; Level IV.

Perceptions of ChatGPT in healthcare: usefulness, trust, and risk.

This study explores the perceptions of ChatGPT in healthcare settings in Taiwan, focusing on its usefulness, trust, and associated risks. As AI technologies like ChatGPT increasingly influence various sectors, their potential in public health education, promotion, medical education, and clinical practice is significant but not without challenges. The study aims to assess how individuals with and without healthcare-related education perceive and adopt ChatGPT, contributing to a deeper understanding of AI's role in enhancing public health outcomes. An online survey was conducted among 659 university and graduate students, all of whom had prior experience using ChatGPT. The survey measured perceptions of ChatGPT's ease of use, novelty, usefulness, trust, and risk, particularly within clinical practice, medical education, and research settings. Multiple linear regression models were used to analyze how these factors influence perception in healthcare applications, comparing responses between healthcare majors and non-healthcare majors. The study revealed that both healthcare and non-healthcare majors find ChatGPT more useful in medical education and research than in clinical practice. Regression analysis revealed that for healthcare majors, general trust is crucial for ChatGPT's adoption in clinical practice and influences its use in medical education and research. For non-healthcare majors, novelty, perceived general usefulness, and trust are key predictors. Interestingly, while healthcare majors were cautious about ease of use, fearing it might increase risk, non-healthcare majors associated increased complexity with greater trust. This study highlights the varying expectations between healthcare and non-healthcare majors regarding ChatGPT's role in healthcare. The findings suggest the need for AI applications to be tailored to address specific user needs, particularly in clinical practice, where trust and reliability are paramount. Additionally, the potential of AI tools like ChatGPT to contribute to public health education and promotion is significant, as these technologies can enhance health literacy and encourage behavior change. These insights can inform future healthcare practices and policies by guiding the thoughtful and effective integration of AI tools like ChatGPT, ensuring they complement clinical judgment, enhance educational outcomes, support research integrity, and ultimately contribute to improved public health outcomes.

Artificial Intelligence in Pain Management: Advancing Translational Science in Digital Health Research from Bench to Bedside

Artificial Intelligence (AI) is rapidly transforming the landscape of healthcare, with particularly profound implications in the field of pain management. This chapter delves into the integration of AI-driven tools that revolutionize the way pain is assessed, monitored, and treated. Through the use of predictive modeling, real-time monitoring, and personalized treatment plans, AI significantly enhances the precision, efficiency, and effectiveness of pain management strategies. The discussion extends to various AI applications, shedding light on the ethical considerations that accompany these technological advancements, as well as outlining future research directions. Collectively, these insights underscore the immense potential of AI to not only improve pain management practices but also to significantly elevate patient outcomes. Central to this transformation is the role of translational science in bridging the gap between theoretical AI models and their practical, clinical applications. This "bench to bedside" approach ensures that innovations in AI are not merely confined to research environments but are actively integrated into real-world patient care. For instance, AI-powered predictive analytics in pain management, driven by sophisticated machine learning algorithms, have progressed from computational experiments to clinical trials, and ultimately, to widespread implementation in healthcare settings. These AI models are now being utilized in hospitals to assess patient pain levels in real-time, predict opioid requirements, and optimize pain management protocols. This progression exemplifies how translational science is facilitating a paradigm shift in healthcare, positioning AI as an indispensable tool in modern pain management.

Enhancing Fiqh learning outcomes through artificial intelligence applications at Sekolah Indonesia Johor Bahru

Artificial Intelligence (AI) has rapidly emerged as a transformative force in education, offering innovative solutions to enhance learning and teaching processes. This technology is revolutionising traditional educational methods by enabling more efficient, accessible, and engaging learning environments. This study aims to evaluate the impact of AI on Fiqh education at Sekolah Indonesia Johor Bahru (SIJB), reflecting the technological advancements of the Fourth Industrial Revolution. The research employs a quantitative quasi-experimental design, involving 73 students, to assess the effectiveness of AI tools in enhancing Fiqh learning outcomes. Pre-test and post-test data were analysed using the Wilcoxon Signed-Rank Test to measure the effect of AI-based interventions on student performance. The results indicate positive effects of AI-based learning methods on students in Fiqh education. Additionally, a four-point Likert scale questionnaire was used to assess students' perceptions of the ease of use of AI tools, their understanding, and the impact of these tools on learning. The study concludes that the integration of AI tools in Fiqh education at Sekolah Indonesia Johor Bahru significantly enhances students' knowledge and learning outcomes. The implications of these findings suggest that AI can be effectively integrated into Fiqh learning to foster a more engaging and efficient learning environment, ultimately improving student performance and understanding.

Integrating Precision Training for Building a Sustainable National Data Infrastructure in Wales: A Datacise Open Learning (DOL) Based Case Study

ObjectiveConstruct an innovative open-learning solution that provides comprehensive training specific to Trusted Research Environments (TRE) and the broader research community of administrative data users, irrespective of their proficiency levels. DOL offers training opportunities tailored to meet each user's unique learning needs, enabling them to utilise complex, linked administrative datasets confidently and effectively for meaningful research outcomes, thereby building capacity for sustainable national data infrastructure. ApproachDOL’s innovative open-learning solution offers two learning formats: adaptive and experiential. Adaptive learning provides registered users with bitesize self-paced training based on Administrative Data Research UK's priorities. Experiential learning involves online workgroups with real-world context and practical application. They meet twice a year and are designed around specific topics with frequent guest speakers who are experts in their fields. ConclusionDOL’s innovative open-learning solution empowers TREs, such as SAIL Databank, to provide well-rounded learning that fosters community support, knowledge-sharing, and networking opportunities for its users, while gathering valuable user feedback. Users can personalise learning and test their knowledge in a flexible training environment, allowing them to take charge of their learning journey. ImplicationIn response to the increasing demand for training services from novice to advanced users, SAIL Databank adopted DOL's dual learning approach by (1) developing training courses that cover access, process, methodology, integration, and analytical tools for SAIL TRE users, (2) engaging users in a series of workgroups focused on themed datasets including Justice, Environmental, Maternal, Education, and Core Health.

Mobilizing DevOps: exploration of DevOps adoption in mobile software development

PurposeThe purpose of this study is to investigate the factors facilitating and influencing the adoption of DevOps practices specifically tailored to mobile software development, with a focus on understanding the influence of mobile-specific requirements on DevOps integration.Design/methodology/approachThe study employs a qualitative methodology, including a literature review, exploratory case research and partial quantitative assessments through DORA metrics and survey applications. This approach, guided by the Technology-Organization-Environment (TOE) framework, prioritizes in-depth insights into the adoption of DevOps practices and explores strategies for integrating DevOps in mobile software development.FindingsThe research identifies several key themes specific to Mobile DevOps adoption, including tool integration issues, testing complexities, deployment challenges and security concerns. These findings underscore the necessity for tailored DevOps solutions that can effectively address the unique demands of mobile software development. The study also proposes actionable strategies to overcome these challenges, thereby enhancing the efficiency, quality and security of mobile applications.Practical implicationsThe insights gained from this study provide valuable guidance for practitioners in the mobile software development sector. By understanding and addressing the specific challenges of Mobile DevOps, organizations can improve their DevOps practices and achieve better outcomes in terms of project delivery speed, quality and security. For example, implementing robust testing strategies, investing in compatible tools and developing well-defined rollback procedures can significantly enhance Mobile DevOps effectiveness. Furthermore, incorporating continuous security measures and improving cross-functional collaboration can lead to more secure and efficient mobile application deployments.Social implicationsThis study offers valuable starting points for researching Mobile DevOps in real-world settings, based on insights from practical DevOps implementations in a single-case organization. Organizations can use this information to compare their own DevOps approaches with those of the studied organization, and can facilitate self-assessment and improvement.Originality/valueThis study contributes to the limited literature on Mobile DevOps adoption and proposing actionable strategies. By incorporating the TOE framework, it provides a comprehensive guide that enhances understanding and management of DevOps practices throughout the mobile application development lifecycle and offers significant value to practitioners and researchers alike.

Exploring the Influence of Family Cultural Capital, School Environment, and Peer Relationships on the Scientific Literacy of Primary School Students: A Conceptual Analysis in Chengdu City, China

This paper explores the impact of blended education on the quality of college student learning in Southwest China during the post-epidemic era. The study highlights the potential of blended learning to enhance student engagement, adaptability, and learning outcomes through the integration of digital tools with traditional teaching methods. It identifies critical factors such as institutional support, technological infrastructure, and faculty training as essential for maximizing the benefits of blended education. Additionally, the paper examines the unique socio-cultural context of Southwest China, emphasizing the need to address regional disparities in digital access to ensure educational equity. The findings suggest that blended education can serve as a transformative model for higher education in the region, fostering essential 21st-century skills and reducing educational inequalities. The paper concludes with recommendations for policymakers and educators to support the sustainable implementation of blended education, contributing to a more resilient and inclusive higher education system.

Healthcare provider’s perspective on the implementation & adoption of digitalized antenatal care services in Bangladesh

ABSTRACT The rise of mHealth has transformed maternal healthcare in low- and middle-income countries, enhancing care and women’s access to quality services. The “Kapasia Model,” launched in 2017 in Bangladesh, aims to connect beneficiaries with healthcare providers, improve antenatal care (ANC) and reduce maternal mortality. This study aimed to explore healthcare providers’ perspective on digitalized ANC services within the Kapasia model. Conducted from January to July 2022, it involved 30 in-depth interviews with community-level healthcare providers across 17 facilities in Kapasia Upazila, Gazipur. A thematic analysis was performed to analyze data. The findings revealed that healthcare providers emphasized the Kapasia Model’s role in raising awareness and knowledge of pregnancy care and increasing antenatal care attendance. They viewed digitalized service as means of improving connectivity and access to healthcare for pregnant women. However, providers also discussed challenges such as women’s limited access to mobile phones and the time-consuming nature of completing information forms. Overall, healthcare providers supported integration of digital tools and endorsed digitalization in their workflow. Addressing these challenges is essential for optimizing ANC delivery and improving quality of services. Insights from this study will inform evidence-based decisions for future scaling-up and replication by policymakers and stakeholders in similar settings.