The Emergence of AI-Driven Virtual Hospitals: Redefining Patient Care Beyond Physical Boundaries DOI Creative Commons

Ifrah Hameed,

Hafiz Muhammad Haseeb Khaliq

Pakistan Journal of Medicine and Dentistry, Год журнала: 2025, Номер 14(2)

Опубликована: Апрель 13, 2025

Artificial intelligence (AI) has been introduced in a transformational era where AI-driven virtual hospitals have led healthcare departments. When combined with advanced AI technologies, telemedicine, and remote monitoring, these platforms deliver comprehensive medical services, effectively surpassing physical boundaries. This development is revolutionizing patient care patterns by increasing accessibility diagnostic precision as well enabling continuous monitoring customized plans for treatment. Virtual that are powered shown remarkable enhancements the of services. Particularly residents or underserved regions. Patients help AI-powered assistants can now assess state their health receiving immediate information. They schedule appointments manage prescription medications online without visiting hospitals. technology strengthens to become more directly involved management health. autonomy provides an excellent opportunity patients take active approach towards wellness. For instance, proved themselves be instrumental addition reduction demand human customer service 60% lowering number phone calls agents 15%, thus optimizing engagement 1. The involvement transformed diagnostics clinical decision-making. Sophisticated algorithms started analyze complex types data such images, reports, histories. modified analysis type assists professionals making timely accurate diagnoses fruitful treatment 2. functionality not only increases intervention accuracy but also shortens timeline necessary identification issues. example, AI-based support systems offer data-driven insights improve outcomes transforming delivery 3. Additionally, better at looking after remotely. Because rigorous essential chronic diseases post-surgery care. With use Internet Things (IoT) technology, portable devices, analytics, patient’s vitals detection anomalies real-time easier. ensures early disorders followed interventions thereby enhancing safety. It reduces rate readmissions well. Predictive proven lower hospital 32% which beneficial cost savings 4. industry always faced problem being understaffed rise several regularly puts further pressure. AI- driven solved this automating routine tasks reduced workload on staff. similar reason, Apollo Hospitals India aimed double investment assistance alleviate staff simple like documentation. goal set free up two three hours daily from life so they focus crucial 5. As said earlier, engage provide information, eases appointment reminders medication. Such individualized interactions make caring well-being. These modifications will ultimately move adherence result improved outcomes. One example lies chatbots demonstrated 35% enhanced satisfaction potential fostering patient-centered 6. Despite apparent benefits, implementation faces challenges terms security privacy, cybersecurity risks, business risks due overfitting underfitting models. Critical considerations need taken include: ensuring equitable access solutions keeping humanized. nursing unions oppose it underestimates expertise nurses field compromises quality highlighted must careful avoid future conflicts enhance efficacy 7. Finally, run eliminating geographical constraints introducing innovative resolutions delivery. moving toward future, AI-induced destined key components worldwide. And solid efficient, accessible, personalized no matter located. However, overcome ethical concerns associated integration ensure factor remains core

Язык: Английский

Examining inclusivity: the use of AI and diverse populations in health and social care: a systematic review DOI Creative Commons

John Marko,

Ciprian Daniel Neagu,

P. B. Anand

и другие.

BMC Medical Informatics and Decision Making, Год журнала: 2025, Номер 25(1)

Опубликована: Фев. 5, 2025

Abstract Background Artificial intelligence (AI)-based systems are being rapidly integrated into the fields of health and social care. Although such can substantially improve provision care, diverse marginalized populations often incorrectly or insufficiently represented within these systems. This review aims to assess influence AI on care among populations, particularly with regard issues related inclusivity regulatory concerns. Methods We followed Preferred Reporting Items for Systematic Reviews Meta-Analyses guidelines. Six leading databases were searched, 129 articles selected this in line predefined eligibility criteria. Results research revealed disparities outcomes, accessibility, representation groups due biased data sources a lack training datasets, which potentially exacerbate inequalities delivery communities. Conclusion development practices, legal frameworks, policies must be reformulated ensure that is applied an equitable manner. A holistic approach used address disparities, enforce effective regulations, safeguard privacy, promote inclusion equity, emphasize rigorous validation.

Язык: Английский

Процитировано

0

Next-Generation Tools for Patient Care and Rehabilitation: A Review of Modern Innovations DOI Creative Commons
Faisal Mehmood, Narjis Mumtaz, Asif Mehmood

и другие.

Actuators, Год журнала: 2025, Номер 14(3), С. 133 - 133

Опубликована: Март 8, 2025

This review article explores the transformative impact of next-generation technologies on patient care and rehabilitation. The advent tools has revolutionized fields rehabilitation, providing modern solutions to improve scientific outcomes affected person studies. Powered through improvements in artificial intelligence, robotics, smart devices, these are reshaping healthcare with aid improving therapeutic approaches personalizing treatments. In world robotic devices assistive technology supplying essential help for people mobility impairments, promoting more independence healing. Additionally, wearable real-time tracking systems permit continuous fitness information monitoring, taking into consideration early analysis extra effective, tailored interventions. clinical settings, modern-day innovations have automated diagnostics, enabled remote patient-monitoring, brought virtual rehabilitation that expand reach experts. comprehensive delves evolution, cutting-edge programs, destiny potential equipment by examining their capability deliver progressed even while addressing growing needs efficient solutions. Furthermore, this challenges related adoption, including ethical considerations, accessibility barriers, need refined regulatory standards ensure safe widespread use.

Язык: Английский

Процитировано

0

Ethical Considerations and Bias in AI Applications in Healthcare DOI
Azamat Ali

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Reshaping the hierarchical medical system for rare diseases: a two-tier structure and one-stop referral network DOI Creative Commons

Chaoyu Lei,

Ying Zuo,

Fanyi Kong

и другие.

Journal of Global Health, Год журнала: 2025, Номер 15

Опубликована: Апрель 10, 2025

Язык: Английский

Процитировано

0

The Emergence of AI-Driven Virtual Hospitals: Redefining Patient Care Beyond Physical Boundaries DOI Creative Commons

Ifrah Hameed,

Hafiz Muhammad Haseeb Khaliq

Pakistan Journal of Medicine and Dentistry, Год журнала: 2025, Номер 14(2)

Опубликована: Апрель 13, 2025

Artificial intelligence (AI) has been introduced in a transformational era where AI-driven virtual hospitals have led healthcare departments. When combined with advanced AI technologies, telemedicine, and remote monitoring, these platforms deliver comprehensive medical services, effectively surpassing physical boundaries. This development is revolutionizing patient care patterns by increasing accessibility diagnostic precision as well enabling continuous monitoring customized plans for treatment. Virtual that are powered shown remarkable enhancements the of services. Particularly residents or underserved regions. Patients help AI-powered assistants can now assess state their health receiving immediate information. They schedule appointments manage prescription medications online without visiting hospitals. technology strengthens to become more directly involved management health. autonomy provides an excellent opportunity patients take active approach towards wellness. For instance, proved themselves be instrumental addition reduction demand human customer service 60% lowering number phone calls agents 15%, thus optimizing engagement 1. The involvement transformed diagnostics clinical decision-making. Sophisticated algorithms started analyze complex types data such images, reports, histories. modified analysis type assists professionals making timely accurate diagnoses fruitful treatment 2. functionality not only increases intervention accuracy but also shortens timeline necessary identification issues. example, AI-based support systems offer data-driven insights improve outcomes transforming delivery 3. Additionally, better at looking after remotely. Because rigorous essential chronic diseases post-surgery care. With use Internet Things (IoT) technology, portable devices, analytics, patient’s vitals detection anomalies real-time easier. ensures early disorders followed interventions thereby enhancing safety. It reduces rate readmissions well. Predictive proven lower hospital 32% which beneficial cost savings 4. industry always faced problem being understaffed rise several regularly puts further pressure. AI- driven solved this automating routine tasks reduced workload on staff. similar reason, Apollo Hospitals India aimed double investment assistance alleviate staff simple like documentation. goal set free up two three hours daily from life so they focus crucial 5. As said earlier, engage provide information, eases appointment reminders medication. Such individualized interactions make caring well-being. These modifications will ultimately move adherence result improved outcomes. One example lies chatbots demonstrated 35% enhanced satisfaction potential fostering patient-centered 6. Despite apparent benefits, implementation faces challenges terms security privacy, cybersecurity risks, business risks due overfitting underfitting models. Critical considerations need taken include: ensuring equitable access solutions keeping humanized. nursing unions oppose it underestimates expertise nurses field compromises quality highlighted must careful avoid future conflicts enhance efficacy 7. Finally, run eliminating geographical constraints introducing innovative resolutions delivery. moving toward future, AI-induced destined key components worldwide. And solid efficient, accessible, personalized no matter located. However, overcome ethical concerns associated integration ensure factor remains core

Язык: Английский

Процитировано

0