Artificial Intelligence in Healthcare Management and its Role in Supporting General Medicine and Allied Medical Services
الإصدار الرابع والثلاثون من المجلة العلمية لنشر البحوث
تم نشر الإصدار الرابع والثلاثون من المجلة العمية لنشر البحوث في: 1-12 -2024م. يحتوي الإصدار على بعض الأبحاث في مختلف التخصصات، كما أن الإصدار قد تناول العديد من المشاكل البحثية المهمه التي تشكل أهمية وفائدة كبيرة للمجتمع العلمي والمعرفي. جميع الأبحاث متاحة للتحميل والتعقيب والاستشهاد المرجعي لكافة الباحثين والأكاديميين.
الأبحاث والأوراق العلمية:
Name: ALI MOHAMMED ALSAEDI
Family physician
CEO of Iben Sena hospital
Name: Zaid Ahmad Alzahrani
Medical director
Iben Sena hospita
Name: Saeed Khamis Alzahrani
Psychiatry consultant
Hera general hospital
Name: Khalid Ali Alharbi
Health Services management
Iben Sena hospital
Name: Nawaf Abdulaziz Alharbi
Health Services management
Iben Sena hospital
Name: Mohammad Talal Alsaaidi
Head Nurse
Hera general hospital
Name: Marwan Mosleh Alharbi
Staff Nurse
Hera general hospital
Name: Faisal Fahad Alsaedi
Staff Nurse
Hera general hospital
Artificial Intelligence in Healthcare Management and its Role in Supporting General Medicine and Allied Medical Services
Abstract:
Artificial Intelligence (AI) is progressively acknowledged as a revolutionary influence in healthcare administration, especially in improving the efficiency and quality of general medicine and related medical services. This study investigates the role of AI in strengthening healthcare delivery by optimizing administrative procedures, improving diagnostic accuracy, and increasing access to treatment, especially via telemedicine and remote monitoring. The research used a descriptive technique to evaluate current literature, case studies, and expert perspectives about the integration of AI technology in several healthcare sectors. The research delineates critical domains where AI has substantial influence, encompassing chronic illness management, individualized treatment strategies, and decision support frameworks. Moreover, the report underscores problems like data privacy issues, substantial implementation expenses, and reluctance to change among healthcare professionals. This study highlights the necessity for robust legal frameworks, standardized data procedures, and intensive professional training to facilitate the efficient adoption and integration of AI in healthcare, despite its potential to enhance results. This study’s findings intend to offer significant insights for healthcare providers, governments, and technology developers to properly leverage AI’s promise, guaranteeing fair and accessible healthcare for everyone.
Keywords: Artificial Intelligence, Healthcare Management, General Medicine, Allied Medical Services, Telemedicine, Diagnostics, Personalized Treatment.