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Haleem, A., Javaid, M., Singh, R. P., & Suman, R. (2021). Telemedicine for healthcare: Capabilities, features, barriers, and applications. Sensors International, 2(2), 100117. NCBI. https://doi.org/10.1016/j.sintl.2021.100117
This article examines telemedicine's merits, demerits, and healthcare applications are examined. Telemedicine uses cell phones and computers to connect doctors and patients. Telemedicine research includes dermatology, infectious disease, prescription tracking, and cost-effectiveness. Telemedicine could reduce healthcare costs, speed up procedures, and improve accessibility, especially in remote areas. The study also addresses data security, patient-provider communication, and state standards. Remote monitoring and patient care will be better integrated into healthcare systems as technology advances, increasing telemedicine utilization. The article states that telemedicine is transforming healthcare by improving access, outcomes, and prices.
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Write my essayThe study is relevant to the research topic of employing technology to improve healthcare. According to the article, telemedicine addresses healthcare challenges, including cost, access, and geography, using digital technology. Telemedicine could revolutionize medical care accessibility, efficiency, and quality. Telemedicine requires solid legal frameworks and trustworthy technology, which can be addressed by discussing data security and legislation. The article suggests that telemedicine might become standard in healthcare delivery with the correct regulations and technology, improving patient outcomes. Telemedicine is crucial to the changing healthcare services landscape created by technological innovation. This article shows how technology can solve healthcare delivery problems.
Vos, J. F. J., Boonstra, A., Kooistra, A., Seelen, M., & van Offenbeek, M. (2020). The influence of electronic health record use on collaboration among medical specialties. BMC Health Services Research, 20(1), 676. https://doi.org/10.1186/s12913-020-05542-6
According to this study, Electronic Health Records (EHRs) affect outpatient clinic interdisciplinary healthcare teamwork. It employs an "affordance lens" to examine how EHRs help or hinder healthcare professionals' collaboration. The six collaborative affordances are transportability, mutual awareness, co-location, shared overview, orchestrating, and communications. These affordances include EHR collaboration, communication, simultaneous access, and information integration. The article lists EHR benefits and drawbacks, including shared patient data, simplified communication, and better decision-making. These issues include differing perspectives on the system from different specializations, too much information in communications features, and a loss of face-to-face connection, essential for creating trust among healthcare workers. The lack of company-wide regulations and role authorizations hinders multidisciplinary teamwork. Real-world implementation shows the importance of hospital-wide activities' importance in standardizing EHR use across departments, engaging medical specialties into decision-making, and embracing role authorization limits. To maximize cooperation benefits, managers should steer affordance actualization.
As part of the leading research topic, the article examines outpatient clinic EHRs and suggests solutions. EHR benefits and limitations demonstrate how complex integrating technology into healthcare systems is. According to the study, EHRs can improve decision-making, process efficiency, and information sharing by making data more accessible. However, information overload, strict processes, and reduced human touch can lower care quality. Studies suggest that healthcare technology must be carefully controlled. EHRs maximize their benefits by using interdisciplinary input, collaborative decision-making, and company-wide policy. The efficiency of a lot of healthcare software depends on its features, how well it fits into practitioners' workflows, and how well it corresponds with corporate policies and goals.
Deo, N., & Anjankar, A. (2023). Artificial Intelligence With Robotics in Healthcare: A Narrative Review of Its Viability in India. Artificial Intelligence with Robotics in Healthcare: A Narrative Review of Its Viability in India, 15(5). https://doi.org/10.7759/cureus.39416
This article examines how India's healthcare business is adopting AI and robotics and how this may change things. In rural India, healthcare resources and access are limited. Fortunately, AI and robotics offer alternatives. AI and robotics can improve diagnosis, prognosis, and prevention by evaluating massive volumes of medical data with sophisticated algorithms. Indian urban and rural hospitals employ AI and robotics more. Operations support, hospital management, and regular exams can function more smoothly with this technology. The above technological advances are expected to change epidemic breakout prediction, remote patient monitoring, clinical trials, sickness diagnosis, and drug research. According to the article, AI improves diagnosis, clinical trial speed, and virtual consultations. Robots can improve patient care, reduce medical personnel dangers, and streamline administrative operations in healthcare institutions. The article acknowledges that high prices, limited technology, medico-legal issues, and staff training prevent wider use.
The article is significant regarding the topic of discussion because the research focuses on improving healthcare through technology. Healthcare firms can improve patient care, reduce administrative operations, and solve significant healthcare system issues, especially in poor countries like India, where healthcare is limited. AI and robotics could transform healthcare by improving patient monitoring, diagnosis, therapy, and surgery. Technological advances make labor-intensive or error-prone tasks easier and faster, enhancing resource use and patient outcomes. The article shows how AI and robotics might lessen healthcare access disparities between urban and rural areas by proposing suggestions for remote areas with poor infrastructure. Technological advances allow low-income people to afford medical care. The article shows how healthcare AI and robots improve healthcare accessibility, efficiency, and quality through technology.
Bekbolatova, M., Mayer, J., Ong, C. W., & Toma, M. (2024). Transformative Potential of AI in Healthcare: Definitions, Applications, and Navigating the Ethical Landscape and Public Perspectives. Healthcare, 12(2), 125–125. https://doi.org/10.3390/healthcare12020125
This study examines the medical systems that use AI to improve patient outcomes. Artificial Intelligence (AI) can evaluate complex medical data with machine learning algorithms and other technologies to help doctors, enhance population health, and tailor patient therapy. AI can potentially improve operational efficiency, treatment personalization, and diagnostic accuracy, but the article notes that several obstacles must be solved before AI can be effectively integrated into healthcare systems. AI specialists, healthcare practitioners, lawmakers, and patients must work together to address ethical and societal issues, including algorithmic prejudice and data privacy. Findings imply AI should complement human healthcare providers rather than replace them. AMA guidelines for ethical and acceptable AI use in healthcare are also included. According to the article, AI in healthcare needs more research, collaboration, and communication to overcome obstacles and reap its benefits.
The article focuses on technical advances to improve healthcare delivery, which is significant to the main research topic. AI is changing healthcare delivery using computer vision, natural language processing, and machine learning algorithms. AI can improve patient outcomes, tailor drugs, and streamline healthcare delivery by analyzing complex medical data. This helps us achieve our goal of employing technology to enhance healthcare quality, efficiency, and effectiveness. The article also acknowledges the practical and ethical challenges of integrating AI into healthcare and emphasizes the need for collaboration between AI scientists, clinicians, lawmakers, and patients. These problems must be addressed to ensure ethical AI use and optimize healthcare advantages. It says that new tech is needed to improve healthcare operations, patient care, and global services, and AI might revolutionize healthcare.
Tapuria, A., Porat, T., Kalra, D., Dsouza, G., Xiaohui, S., & Curcin, V. (2021). Impact of patient access to their electronic health record: systematic review. Informatics for Health and Social Care, 46(2), 194–206. https://doi.org/10.1080/17538157.2021.1879810
This study examines the effects of encrypted EHR access. It uses many therapy studies to assess this technique's pros and cons. Results revealed improved blood pressure and glucose management, patient participation, understanding, and medication adherence. Patient privacy and security, as well as susceptible medical records, are raised. The study says that patients must have access to electronic health records to enhance medical openness, responsibility, and cooperation. Despite its many benefits, adopting it requires careful assessment of the dangers and challenges. The study recommends significant research on patient access to EHRs and healthcare outcomes to influence policy and practice.
This article is significant to the main topic being researched. It discusses how technology may enhance healthcare and how people can access their EHRs through protected websites to improve healthcare delivery and care. The study states that EHR access improves patient involvement, knowledge, and medication adherence. These findings empower individuals to manage their health, improving healthcare quality instantly. Second, the study examines patient concerns about privacy and security with this strategy. EHR access programs must address these concerns, underlining the need for robust technology and specific policies to secure patient data and confidentiality. The post explains patient record access, a crucial healthcare IT component. Legislators, technologists, and healthcare professionals should examine the pros and cons of this approach to better use technology to improve healthcare.
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- Bekbolatova, M., Mayer, J., Ong, C. W., & Toma, M. (2024). Transformative Potential of AI in Healthcare: Definitions, Applications, and Navigating the Ethical Landscape and Public Perspectives. Healthcare, 12(2), 125–125. https://doi.org/10.3390/healthcare12020125
- Deo, N., & Anjankar, A. (2023). Artificial Intelligence with Robotics in Healthcare: A Narrative Review of Its Viability in India. Artificial Intelligence with Robotics in Healthcare: A Narrative Review of Its Viability in India, 15(5). https://doi.org/10.7759/cureus.39416
- Haleem, A., Javaid, M., Singh, R. P., & Suman, R. (2021). Telemedicine for healthcare: Capabilities, features, barriers, and applications. Sensors International, 2(2), 100117. NCBI. https://doi.org/10.1016/j.sintl.2021.100117
- Tapuria, A., Porat, T., Kalra, D., Dsouza, G., Xiaohui, S., & Curcin, V. (2021). Impact of patient access to their electronic health record: systematic review. Informatics for Health and Social Care, 46(2), 194–206. https://doi.org/10.1080/17538157.2021.1879810
- Vos, J. F. J., Boonstra, A., Kooistra, A., Seelen, M., & van Offenbeek, M. (2020). The influence of electronic health record use on collaboration among medical specialties. BMC Health Services Research, 20(1), 676. https://doi.org/10.1186/s12913-020-05542-6