Informatics-week 3

Informatics - Week 3 Author’s Name The Institutional Affiliation Course Number and Name Instructor Name Assignment Due Date  Informatics AI tools and technologies have revolutionized every sector, including health care. It has transformed how healthcare providers and practitioners deliver care services, manage and monitor patients' data and health records, and improve their well-being. Several existing technologies can be adapted into new information systems to enhance healthcare services. Many medical facilities and healthcare centers worldwide have adopted AI tools to provide advanced technology medical services to patients and improve their operations (Petrella, 2024). Using a hospital’s emergency department as the clinical setting for implementing AI tools exhibits numerous benefits of AI technologies. AI predictive analytics can be one of the most efficient ways to assess the potential admissions in the emergency department or the expected severity of the complications. AI algorithms analyze the extensive data available and optimize the use of resources and their allocation, hospital management, and guide the staff to prioritize the patients and diseases (Walch, 2024). Wearable technologies are another technology that can be adapted to monitor, record, and update healthcare providers about patients' vital signs for immediate response and medical assistance. The ED staff can improve healthcare services through electronic health records received (EHR) through wearable technologies and offer emergency treatment to those in need. It also reduces the hospital visits and workload of the emergency department. Several modern hospitals use AI tools and technologies worldwide, but their implementation is still prevalent. Hospitals use automated supply chain systems for retail to restock medicines, medical supplies, and equipment in the ED department. It uses the usage pattern and the inventory stock updates. The current tools are used only in selected hospitals' ED departments for X-rays, CT scans, and MRIs of patients in critical condition (B...