Transform Health Care Delivery Research Articles

Transforming Healthcare Delivery with Advanced Air Mobility: A Rural Study with GIS-Based Optimization

Transforming Healthcare Delivery with Advanced Air Mobility: A Rural Study with GIS-Based Optimization

Applications of vibration sensors in medicine: Enhancing healthcare through innovative monitoring

Recently, vibration sensors, initially confined to industrial use, have emerged as pivotal tools in medical practice. This article delves into their myriad applications within healthcare, underscoring their potential to reshape patient care paradigms. From wearable gadgets to cutting-edge medical equipment, the incorporation of vibration sensors holds promises to redefine patient monitoring, diagnostics, and therapeutic strategies. By integrating these sensors, healthcare professionals gain novel insights into physiological dynamics, ultimately improving patient outcomes. The integration of vibration sensors into medical practice not only enhances the accuracy and efficiency of health monitoring and diagnostics but also opens up new avenues for personalized medicine. As these technologies continue to evolve, they hold the promise of transforming healthcare delivery, making it more responsive, proactive, and patient-centric.

Telehealth-Based Information Retrieval and Extraction for Analysis of Clinical Characteristics and Symptom Patterns in Mild COVID-19 Patients

Clinical characteristics of COVID-19 patients have been mostly described in hospitalised patients, yet most are managed in an outpatient setting. The COVID-19 pandemic transformed healthcare delivery models and accelerated the implementation and adoption of telemedicine solutions. We employed a modular remote monitoring system with multi-modal data collection, aggregation, and analytics features to monitor mild COVID-19 patients and report their characteristics and symptoms. At enrolment, the patients were equipped with wearables, which were associated with their accounts, provided the respective in-system consents, and, in parallel, reported the demographics and patient characteristics. The patients monitored their vitals and symptoms daily during a 14-day monitoring period. Vital signs were entered either manually or automatically through wearables. We enrolled 162 patients from February to May 2022. The median age was 51 (42–60) years; 44% were male, 22% had at least one comorbidity, and 73.5% were fully vaccinated. The vitals of the patients were within normal range throughout the monitoring period. Thirteen patients were asymptomatic, while the rest had at least one symptom for a median of 11 (7–16) days. Fatigue was the most common symptom, followed by fever and cough. Loss of taste and smell was the longest-lasting symptom. Age positively correlated with the duration of fatigue, anorexia, and low-grade fever. Comorbidities, the number of administered doses, the days since the last dose, and the days since the positive test did not seem to affect the number of sick days or symptomatology. The i-COVID platform allowed us to provide remote monitoring and reporting of COVID-19 outpatients. We were able to report their clinical characteristics while simultaneously helping reduce the spread of the virus through hospitals by minimising hospital visits. The monitoring platform also offered advanced knowledge extraction and analytic capabilities to detect health condition deterioration and automatically trigger personalised support workflows.

Envisioning the Future of Personalized Medicine: Role and Realities of Digital Twins.

Digital twins have emerged as a groundbreaking concept in personalized medicine, offering immense potential to transform health care delivery and improve patient outcomes. It is important to highlight the impact of digital twins on personalized medicine across the understanding of patient health, risk assessment, clinical trials and drug development, and patient monitoring. By mirroring individual health profiles, digital twins offer unparalleled insights into patient-specific conditions, enabling more accurate risk assessments and tailored interventions. However, their application extends beyond clinical benefits, prompting significant ethical debates over data privacy, consent, and potential biases in health care. The rapid evolution of this technology necessitates a careful balancing act between innovation and ethical responsibility. As the field of personalized medicine continues to evolve, digital twins hold tremendous promise in transforming health care delivery and revolutionizing patient care. While challenges exist, the continued development and integration of digital twins hold the potential to revolutionize personalized medicine, ushering in an era of tailored treatments and improved patient well-being. Digital twins can assist in recognizing trends and indicators that might signal the presence of diseases or forecast the likelihood of developing specific medical conditions, along with the progression of such diseases. Nevertheless, the use of human digital twins gives rise to ethical dilemmas related to informed consent, data ownership, and the potential for discrimination based on health profiles. There is a critical need for robust guidelines and regulations to navigate these challenges, ensuring that the pursuit of advanced health care solutions does not compromise patient rights and well-being. This viewpoint aims to ignite a comprehensive dialogue on the responsible integration of digital twins in medicine, advocating for a future where technology serves as a cornerstone for personalized, ethical, and effective patient care.

Body Part Implant Dashboard for Real-Time Monitoring and Reporting

Our innovative platform is revolutionizing the field of medical implants, harnessing the power of 3D printing to deliver unparalleled levels of customization, accuracy, and accessibility. It functions as an all-in-one online ecosystem that simplifies the process of obtaining custom 3D-printed implants for patients and healthcare providers. At its core, the platform features a user-friendly interface, allowing users to explore a diverse selection of medical implants tailored to individual needs, including orthopedic devices and dental prosthetics. The ordering process is straightforward—users can select implant specifications, upload medical data, and place orders through a secure payment gateway for safe transactions. The platform’s integrated tracking system provides real-time updates, allowing users to monitor the progress of their orders from production to delivery. Healthcare professionals’ benefit from a dedicated portal where they can submit custom designs, track orders, and communicate with experts. The platform also offers comprehensive customer support and post-implantation care resources to ensure a seamless experience. By embracing 3D printing technology, our platform is transforming healthcare delivery, paving the way for personalized medicine, and reshaping the future of medical implants. Join us in this journey towards a more accessible and patient-focused healthcare system

Healhub Hospital Management Excellance

Healhub revolutionizes hospital management, offering seamless integration for administrators, doctors, and patients. Admins authenticate doctors, ensuring a secure platform. Verified doctors manage appointments and schedules, upload reports, and review patient feedback. Patients register and access departmental treatment options, browse doctor listings, and receive appointment updates. Healhub facilitates efficient communication and enhances patient-doctor interaction, improving healthcare delivery. One of Healhub's key features is its focus on enhancing communication and interaction between patients and doctors. Through the platform, patients can communicate with their healthcare providers, ask questions, and receive timely responses, leading to improved health outcomes and overall patient well-being with its intuitive functionalities and stringent security measures, Healhub sets a new standard for hospital operations. By fostering excellence in patient care and optimizing workflows, Healhub is at the forefront of transforming healthcare delivery. With intuitive functionalities and stringent security measures, Healhub streamlines hospital operations, fostering excellence in patient care.

A pioneering EMR-embedded digital health literacy tool reveals healthcare disparities for diverse older adults.

The COVID-19 pandemic transformed healthcare delivery with the rapid adoption of telehealth and digital technologies to access healthcare. Interventions are needed to ensure that older people in underserved communities do not face new technology-driven healthcare disparities. This article describes pioneering electronic medical record (EMR) embedded tools to assess and support each diverse patient's digital health literacy. We designed and validated a rapid EMR-embedded Digital Health Engagement Tool (DHET) to assess each patient's digital literacy in English and Spanish. We built a separate, EMR-generated auto-scoring function to assess patient use of telehealth and healthcare navigation as recorded within the EMR. Combined, the tools created a complete digital literacy assessment for each patient. We then deployed the tools to conduct a pilot study to elucidate disparities. A total of 112 ethnic/racial diverse older patients were enrolled (mean age was 78, ranging from 57 to 96) years (SD = 8.04). The female participants were 72.3%. Among the participants, non-Hispanic Whites were 47.3%; Hispanic 25.0%; non-Hispanic Asian 19.6%; non-Hispanic others (including multi-race and non-Hispanic Black/African Americans) 8.0%. Digital literacy disparities were revealed for older adults, particularly those over 70 years old, female gender, and those reporting relying on a helper. New EMR-embedded tools enable healthcare systems to assess the ability of patients to navigate and utilize EMR capabilities, such as video telehealth appointments, messaging providers, reviewing labs/radiology reports, and requesting prescriptions. The study identified significant challenges for older patients in navigating EMRs and calls for healthcare systems to better support patient learning.

Mapping the Landscape of Electronic Health Records and Health Information Exchange Through Bibliometric Analysis and Visualization.

The adoption of Electronic Health Records (EHRs) and the establishment of Health Information Exchange (HIE) systems have significantly transformed healthcare delivery and management. This study presents a comprehensive bibliometric analysis and visualization of the landscape surrounding EHRs and HIE to provide insights into the current state and emerging trends in this field. Leveraging advanced bibliometric methodologies, including co-citation analysis, keyword co-occurrence analysis, and network visualization techniques, we systematically map the scholarly literature spanning several decades. Our analysis reveals key thematic clusters, influential publications, prolific authors, and collaborative networks within the domain of EHRs and HIE. Furthermore, we identify significant research gaps and areas for future exploration, including interoperability challenges, privacy concerns, and the integration of emerging technologies such as artificial intelligence and blockchain. The findings of this study offer valuable insights for researchers, policymakers, and healthcare practitioners seeking to navigate and contribute to the ongoing evolution of EHRs and HIE systems, ultimately enhancing the quality, efficiency, and accessibility of healthcare services.

Transforming health care delivery: The role of primary health care nurses in rural and remote Australia.

This paper describes the policy context and approaches taken to improve access to primary health care in Australia by supporting nurses to deliver improved integrated care meeting community needs. In Primary Health Care (PHC), the nursing workforce are predominantly employed in the general practice sector. Despite evidence that nurse-led models of care can bridge traditional treatment silos in the provision of specialised and coordinated care, PHC nurses' scope of practice varies dramatically. Nurse-led models of care are imperative for rural and remote populations that experience workforce shortages and barriers to accessing health care. Existing barriers include policy constraints, limited organisational structures, education and financing models. The Australian Primary Health Care Nurses Association (APNA) received funding to implement nurse-led clinics as demonstration projects. The clinics enable PHC nurses to work to their full scope of practice, improve continuity of care and increase access to health care in under serviced locations. We reviewed a range of peer-reviewed literature, policy documents, grey literature and APNA provided sources, particularly those relevant to rural and remote populations. We argue more focus is needed on how to address variations in the scope of practice of the rural and remote PHC nursing workforce. Despite growing evidence for the effectiveness of nurse-led models of care, significant policy and financial barriers continue to inhibit PHC nurses working to their full scope of practice. If their potential to transform health care and increase access to health services is to be realised these barriers must be addressed.

The Potential Use of Digital Health in Iran: A Systematic Mapping Review

Introduction: Digital health technologies are transforming healthcare delivery globally. The purpose of the current study was to identify and map the current status of digital health applications in Iran through providing graphical/tabular classifications on the studies conducted in this field.Material and Methods: Following PRISMA guidelines, relevant English-language papers on digital health in Iran published from 2012 until 2023 in online scientific databases, including PubMed, Scopus, Web of Science and IEEE Xplore were screened. A total of 97 papers were selected for data extraction data including digital heath technologies, medical fields, application areas and users.Results: The number of publications has grown considerably since 2016. The most common digital health technologies were artificial intelligence including machine learning (34%), mobile health (25%) and telehealth (16%). These were mostly applied in infections (16%), nutrition/metabolism disorders (13%), mental health (20%) and cancers (12%). The key application areas were education (21%), therapy (16%) and diagnosis (15%). The primary users were patients (45%) and healthcare professionals (42%).Conclusion: Digital health studies in Iran are continuously evolving. The activities are focused on a few technologies like artificial intelligence, with applications in diverse medical subfields for objectives like education and diagnosis. These results help identify research gaps and future directions for advancing digital health in Iran.

Tanzania's and Germany's Digital Health Strategies and Their Consistency With the World Health Organization's Global Strategy on Digital Health 2020-2025: Comparative Policy Analysis.

In recent years, the fast-paced adoption of digital health (DH) technologies has transformed health care delivery. However, this rapid evolution has also led to challenges such as uncoordinated development and information silos, impeding effective health care integration. Recognizing these challenges, nations have developed digital health strategies (DHSs), aligning with their national health priorities and guidance from global frameworks. The World Health Organization (WHO)'s Global Strategy on Digital Health 2020-2025 (GSDH) guides national DHSs. This study analyzes the DHSs of Tanzania and Germany as case studies and assesses their alignment with the GSDH and identifies strengths, shortcomings, and areas for improvement. A comparative policy analysis was conducted, focusing on the DHSs of Tanzania and Germany as case studies, selected for their contrasting health care systems and cooperative history. The analysis involved a three-step process: (1) assessing consistency with the GSDH, (2) comparing similarities and differences, and (3) evaluating the incorporation of emergent technologies. Primary data sources included national eHealth policy documents and related legislation. Both Germany's and Tanzania's DHSs align significantly with the WHO's GSDH, incorporating most of its 35 elements, but each missing 5 distinct elements. Specifically, Tanzania's DHS lacks in areas such as knowledge management and capacity building for leaders, while Germany's strategy falls short in engaging health care service providers and beneficiaries in development phases and promoting health equity. Both countries, however, excel in other aspects like collaboration, knowledge transfer, and advancing national DHSs, reflecting their commitment to enhancing DH infrastructures. The high ratings of both countries on the Global Digital Health Monitor underscore their substantial progress in DH, although challenges persist in adopting the rapidly advancing technologies and in the need for more inclusive and comprehensive strategies. This study reveals that both Tanzania and Germany have made significant strides in aligning their DHSs with the WHO's GSDH. However, the rapid evolution of technologies like artificial intelligence and machine learning presents challenges in keeping strategies up-to-date. This study recommends the development of more comprehensive, inclusive strategies and regular revisions to align with emerging technologies and needs. The research underscores the importance of context-specific adaptations in DHSs and highlights the need for broader, strategic guidelines to direct the future development of the DH ecosystem. The WHO's GSDH serves as a crucial blueprint for national DHSs. This comparative analysis demonstrates the value and challenges of aligning national strategies with global guidelines. Both Tanzania and Germany offer valuable insights into developing and implementing effective DHSs, highlighting the importance of continuous adaptation and context-specific considerations. Future policy assessments require in-depth knowledge of the country's health care needs and structure, supplemented by stakeholder input for a comprehensive evaluation.

Telemedicine's role in transforming healthcare delivery in the pharmaceutical industry: A systematic review

Telemedicine has emerged as a pivotal technology in transforming healthcare delivery, particularly within the pharmaceutical industry. This systematic review aims to evaluate the extent of telemedicine's impact, its applications, and the challenges it faces in this sector. By synthesizing data from peer-reviewed articles, reports, and case studies published up to 2023, this study adopts a comprehensive methodology to assess telemedicine's role in pharmaceutical care, patient management, and drug delivery systems. Key findings indicate that telemedicine significantly enhances patient access to pharmaceutical care, especially in remote and underserved areas. It facilitates real-time patient-pharmacist consultations, remote monitoring, and personalized medication management, thereby improving medication adherence and patient outcomes. Moreover, telemedicine platforms have been instrumental in streamlining drug development processes and clinical trials through virtual patient engagement and remote data collection. However, the review also identifies several challenges, including regulatory hurdles, privacy concerns, and the need for technological standardization across the industry. Despite these obstacles, the potential of telemedicine to revolutionize healthcare delivery in the pharmaceutical industry is undeniable, offering a more patient-centered, efficient, and cost-effective model of care. Telemedicine represents a transformative force in the pharmaceutical industry, promising to reshape the landscape of healthcare delivery. Its continued integration and adoption hinge on addressing existing challenges and leveraging technological advancements to fully realize its potential benefits for patients and healthcare providers alike.

The role of mobile health applications in improving patient engagement and health outcomes: A critical review

Mobile health applications (apps) have revolutionized healthcare delivery by enhancing patient engagement and improving health outcomes. This critical review examines the role of mobile health apps in improving patient engagement and health outcomes. The review discusses the benefits of mobile health apps in empowering patients to manage their health, facilitating communication between patients and healthcare providers, and promoting healthy behaviors. Mobile health apps have transformed the way patients engage with their healthcare by providing them with convenient access to health information and resources. These apps enable patients to track their health metrics, such as physical activity, diet, and medication adherence, allowing for better self-management of chronic conditions. By empowering patients to take control of their health, mobile health apps can lead to improved health outcomes and reduced healthcare costs. Furthermore, mobile health apps facilitate communication between patients and healthcare providers, enabling remote monitoring and virtual consultations. This improved communication can lead to more timely interventions and better coordination of care, ultimately improving patient outcomes. Mobile health apps also promote healthy behaviors by providing patients with personalized recommendations and reminders to engage in preventive care activities. Despite their potential benefits, mobile health apps also face challenges, such as ensuring data privacy and security, and addressing disparities in access to technology. Future research should focus on evaluating the effectiveness of mobile health apps in improving patient engagement and health outcomes, and on developing strategies to overcome these challenges. In conclusion, mobile health apps have the potential to significantly improve patient engagement and health outcomes. By empowering patients to manage their health, facilitating communication with healthcare providers, and promoting healthy behaviors, mobile health apps are transforming healthcare delivery and improving patient care.

Use of Artificial Intelligence in Improving Outcomes in Heart Disease: A Scientific Statement From the American Heart Association.

A major focus of academia, industry, and global governmental agencies is to develop and apply artificial intelligence and other advanced analytical tools to transform health care delivery. The American Heart Association supports the creation of tools and services that would further the science and practice of precision medicine by enabling more precise approaches to cardiovascular and stroke research, prevention, and care of individuals and populations. Nevertheless, several challenges exist, and few artificial intelligence tools have been shown to improve cardiovascular and stroke care sufficiently to be widely adopted. This scientific statement outlines the current state of the art on the use of artificial intelligence algorithms and data science in the diagnosis, classification, and treatment of cardiovascular disease. It also sets out to advance this mission, focusing on how digital tools and, in particular, artificial intelligence may provide clinical and mechanistic insights, address bias in clinical studies, and facilitate education and implementation science to improve cardiovascular and stroke outcomes. Last, a key objective of this scientific statement is to further the field by identifying best practices, gaps, and challenges for interested stakeholders.

Unlocking the Potential: Investigating Dental Practitioners' Willingness to Embrace Artificial Intelligence in Dental Practice.

Artificial intelligence (AI) holds significant promise for transforming healthcare delivery, including dentistry. However, the successful integration of AI into dental practice necessitates an understanding of dental professionals' perspectives, attitudes, and readiness to adopt AI technology. This study aimed to explore dental professionals' perceptions, attitudes, and practices regarding AI adoption in dentistry. This cross-sectional study was conducted among 256 dental professionals using an online questionnaire. Participants were assessed for familiarity with AI technology, perceived barriers to adoption, attitudes towards AI, current usage patterns, and factors influencing adoption decisions. Data are analysed using descriptive statistics, including frequencies, percentages, means, and standard deviations. Inferential statistics, such as chi-square tests and regression analysis, were employed to examine associations between variables and identify predictors of AI adoption in dentistry. The study surveyed 256 dental professionals from various regions across India, primarily aged 30 to 50 years (mean age: 42.6), with a nearly equal gender split (male: 48.4%, female: 51.6%) and high educational attainment (67.8% with master's or doctoral degrees). Private practices were predominant (56.3%). The diagnostic algorithms and treatment planning software were well known (77.3% and 70.3% familiarity, respectively). Technical concerns (average score: 3.82 ± 0.68) were the main barriers to AI adoption, followed by financial considerations (average score: 3.45 ± 0.72), ethical and legal issues (average score: 3.21 ± 0.65), and organizational factors (average score: 3.67 ± 0.71). Despite these concerns, most participants had positive attitudes towards AI (70.3% agreed). Current usage varied, with diagnostic support and administrative tasks being the most common (44.5% and 82.8% usage, respectively). Perceived utility (average score: 4.12 ± 0.75) and ease of use (average score: 3.98 ± 0.69) significantly influenced adoption, as identified by regression analysis (perceived utility: β = 0.342, p < 0.001; ease of use: β = 0.267, p = 0.005). This study provides valuable insights into AI adoption in dentistry, highlighting the multifaceted nature of barriers and facilitators that influence dental professionals' adoption decisions. Strategies to promote AI adoption should address practical considerations, ethical concerns, and educational needs to facilitate the integration of AI technology into dental practices.

Strengthening Healthcare Delivery in the Democratic Republic of Congo through Adequate Nursing Workforce

The Democratic Republic of Congo (DRC) grapples with a critical shortage of nurses, exacerbating disparities in healthcare access and outcomes. This mini-review examines the factors impacting the nursing workforce in the DRC and presents potential solutions to strengthen it. Decades-long regional conflicts have endangered the nursing workforce, resulting in an imbalanced distribution that disproportionately favors urban areas over rural regions. Inadequate healthcare funding, compounded by mismanagement, has led to resource scarcity and inequitable distribution, further hampering nursing efforts. Additionally, stagnant policy reforms and ineffective advocacy have hindered improvements in nurse employment, wages, education, and working conditions. Infrastructure deficiencies and medical supply shortages have also contributed to reduced incentives for nursing professionals. Therefore, we undertook a mini-review aimed at offering a succinct and targeted overview of nursing care in the DRC. This involved analyzing available literature and data concerning the nursing workforce with a particular focus on the DRC. We believe that addressing these interlinked challenges necessitates comprehensive strategies that prioritize establishing regional stability, responsibly allocating and increasing healthcare funding, incentivizing nurse recruitment and retention through policy adjustments, enhancing healthcare infrastructure and nursing education, and fostering both local and global collaboration. Investing in nursing is paramount for transforming healthcare delivery in the DRC, particularly considering nurses' pivotal roles in delivering preventive, therapeutic, and palliative care services. Strengthening nursing capacity and addressing systemic challenges are essential steps toward mitigating healthcare disparities and enhancing population health, aligning with the objectives outlined in the United Nations Sustainable Development Goals.

Revolutionizing Medical Practice: The Impact of Artificial Intelligence (AI) on Healthcare

The twenty-first century has witnessed significant advancements in informatics, reshaping our understanding of data processing and accessibility. Artificial intelligence (AI), encompassing techniques such as machine learning (ML), deep learning (DP), and neural networks (NN), is poised to revolutionize medicine. AI holds the capability of analyzing vast amounts of data, extracting meaningful insights, and making accurate predictions, thereby empowering industries to make informed decisions, drive innovation, and enhance efficiency. The landscape of medical AI has evolved significantly, demonstrating expert-level disease detection from medical images and promising breakthroughs across various industries. AI revolutionizes medical practice by leveraging advanced algorithms and machine learning capabilities to improve diagnostics, treatment planning, and overall patient care. However, the deployment of medical AI systems in regular clinical practice still needs to be tapped, presenting complex ethical, technical, and human-centered challenges that must be addressed for successful implementation. While AI algorithms have shown efficacy in retrospective medical investigations, their translation into practical medical settings has been limited, raising concerns about their usability and interaction with healthcare professionals. Moreover, the representativeness of retrospective datasets in real-world medical practice is subject to filtering and cleaning biases. Integrating AI into clinical medicine holds great promise for transforming healthcare delivery, improving patient care, and revolutionizing aspects such as diagnosis, treatment planning, drug discovery, personalized treatment, and medical imaging. With advanced algorithms and machine learning capabilities, AI and robotics in Healthcare can analyze large volumes of medical data, extract meaningful insights, and provide accurate predictions, empowering healthcare professionals to make informed decisions and optimize resource allocation. The availability of extensive clinical, genomics, and digital imaging data, coupled with investments from healthcare institutions and technology giants, underscores the potential of AI in healthcare. This review article explores AI's powerful potential to revolutionize healthcare delivery across multiple domains, emphasizing the need to overcome challenges and harness its transformative capabilities in clinical practice.

Primary Care as a Protective Factor: A Vision to Transform Health Care Delivery and Overcome Disparities in Health.

Primary Care as a Protective Factor: A Vision to Transform Health Care Delivery and Overcome Disparities in Health.

Overcoming Electronic Medical Records Adoption Challenges in Saudi Arabia.

In the digital era, the seamless integration of electronic medical records (EMR) stands as a pivotal milestone in transforming healthcare delivery, with Saudi Arabia at the forefront of this revolution in the Middle East. This literature review comprehensively explores the challenges and opportunities associated with adopting EMRin the Kingdom of Saudi Arabia (KSA) in alignment with the nation's Vision 2030 healthcare objectives. The review synthesizes research from various scholarly sources, utilizing databases such as PubMed, Scopus, Google Scholar, and regional databases, and focuses on literature published between 2010 and 2023. Our methodology included a strategic combination of keywords and a stringent selection criterion to ensure a focus on relevant EMR adoption studies within KSA. The review addresses key aspects of EMR adoption, including technical challenges, financial constraints, human factors, cultural and organizational barriers, privacy and security concerns, and policy and regulatory challenges. It also explores the integration of EMR with other digital health initiatives like telehealth, personal health records, and community pharmacy services. The findings reveal a complex interplay of factors influencing EMR adoption, highlighting the need for comprehensive strategies that address technical, financial, cultural, and policy-related barriers. The review concludes that while significant challenges exist, strategic approaches and solutions tailored to the specific context of Saudi Arabia can effectively facilitate EMR integration, thereby enhancing healthcare quality and efficiency in line with the nation's Vision 2030 goals.

The Ayushman Bharat Health Account: A New Frontier for Smart Healthcare Delivery in India

The ever-changing healthcare landscape in India, focusing particularly on the ABHA and the broader Ayushman Bharat Digital Health Mission. Despite significant progress made in the last decade to mitigate disparities in healthcare access between rural and urban regions, challenges persist in providing healthcare services to underprivileged groups. Telehealth, combining video conferencing and mobile health apps, is essential for distant healthcare and overcomes geography. Telehealth services like consultations and education have grown in prominence, notably during the COVID-19 epidemic. It has helped to modernise healthcare delivery and lead to better results. Statistical assessments of the establishment of ABHA, categorised by state, gender, and age group, uncover distribution patterns and geographical inequalities. The report highlights the increasing influence of digitization in healthcare, specifically emphasising the Ayushman Bharat Digital Health Mission’s objective of establishing a complete digital health ecosystem to enhance the accessibility, efficacy, efficiency, and transparency of healthcare delivery. Ultimately, India’s healthcare industry is poised to enter a period of significant change, propelled by breakthroughs in technology, regulatory changes, and comprehensive efforts. In order to achieve sustainable and equitable healthcare results, it is imperative to address obstacles and allocate resources towards new solutions as the country advances. The integration of artificial intelligence (AI) with health data shows potential for transforming healthcare delivery, providing customised treatments, and enhancing overall health outcomes for India’s varied population.