How AI has Affected Quality Control and Decision-Making in the Healthcare Sector

Research Project Final Document Assignment
Student's Name
Institutional Affiliation
Instructor's Name
Date
Introduction
Due to the rapid advancement of artificial intelligence, the healthcare sector is on the verge of a revolution (AI). Healthcare personnel will be able to make more educated and precise decisions thanks to AI, which has the potential to drastically improve patient outcomes, save costs, and boost productivity (Choudhury et al., 2019). The process of assessing the caliber of treatment delivered, as well as supervising and regulating the output of healthcare organizations and personnel, is known as quality management. Similarly, AI-driven decision support is a technology that empowers medical personnel to make knowledgeable and precise treatment decisions. AI greatly impacts quality management and decision-making in the healthcare sector. It can drastically lower costs, enhance patient outcomes, and increase efficiency. This essay will review how AI has affected quality control and decision-making in the healthcare sector and why it is crucial for the facility to continue utilizing it to stay competitive.
Research Questions
1 What ethical considerations should be taken into account when using AI within the healthcare industry?
2 How can AI reduce costs and improve efficiency within the healthcare system?
3 How can healthcare facilities ensure AI-based decision support systems are secure and reliable?
4 How can AI be employed to boost healthcare quality and patient outcomes?
Background Information
In Artificial Intelligence, machines are programmed to learn and operate independently in the computer science subject. AI has been used in the healthcare industry since the 1950s and has been increasingly adopted in recent years to improve healthcare delivery and patient outcomes. AI has been used to diagnose diseases, deliver personalized treatments, and provide physician decision support. AI systems can evaluate extensive data quickly and accurately, leading to improved patient outcomes. AI can also automate mundane tasks, such as data entry and claims processing, allowing physicians to focus on patient care.
Ideally, AI has significantly impacted healthcare policies, particularly in cost-effectiveness and patient safety. AI systems can process large amounts of statistical data and identify patterns to make more cost-effective decisions that could potentially reduce costs associated with healthcare delivery. AI can also identify potential safety issues and alert healthcare providers to prevent patient harm. In addition, it can improve the accuracy and speed of medication administration, reducing the risk of medical errors.
The use of AI in healthcare requires careful consideration of regulatory and ethical implications. As AI systems become increasingly sophisticated, there is a need to ensure they are safe and effective. Regulatory agencies, including the Food and Drug Administration (FDA), must ensure AI systems meet safety and efficacy standards before they can be used in healthcare delivery. In addition, ethical considerations must be considered when using AI, such as privacy issues, data security, and patient autonomy.
The use of AI in healthcare is rapidly evolving, and ...