How AI has Affected Quality Control and Decision-Making in the Healthcare Sector
RESEARCH PROJECT: FINAL DOCUMENT ASSIGNMENT INSTRUCTIONS
Using your Annotated Bibliography and Outline of the Research Project, you will work on a 5-page paper complying with the formatting and content instructions below.
You will be using the same topic as the Annotated Bibliography and Outline.
Format
• Minimum of 5 pages, double-spaced not including title and reference pages
• Current APA format
• Numbered pages
• Minimum of 5 scholarly articles from peer-reviewed journals. Must be less than 10 years old
• Show block quotations for more than 40 words:
o Single spaced with double space separating quotes
o Indented 5 spaces from left hand margin
o No quotation marks
• Reference page in current APA format including active URL links (not included in page total)
• Single-space between references and double space within the reference
Content
• A title page that includes:
o Running head: and page number (right aligned)
o Course number and name
o Case name
o All group member names
o Date submitted
o Respectfully submitted to: (Instructor’s Name)
• Abstract (block formatted)
• Content of your topic and/or paper
o Concepts from the textbook that are related to your topic, including page numbers where the concepts may be found. Credit will only be earned for concepts supported by text page numbers (Essentially, this is accomplished through integration of the relevant course content, using properly formatted APA citations)
o Use current APA format for “in text” citatations to credit sources listed in the reference list as appropriate
• Conclusion
• References
Note: Your assignment will be checked for originality via the Turnitin plagiarism tool
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 several future trends will shape the industry in the coming years. As AI systems become more sophisticated, they can make more accurate and personalized decisions, improving patient outcomes. Additionally, AI will be increasingly used to develop predictive analytics, enabling healthcare providers to anticipate patient needs and develop more effective treatments. AI will improve patient access to care by providing better access to healthcare services in remote areas and helping reduce wait times.
Literature Review
In the modern, digitalized world, using artificial intelligence (AI) in healthcare is becoming increasingly important. AI can revolutionize how healthcare is delivered and decisions are made, enabling better quality control and decision assistance. This literature review analyzes the effects of AI on quality control and decision-making in the healthcare sector using five primary sources.
AI has grown significantly in healthcare to enhance quality management and decision-making. It can enhance patient outcomes, save costs, and boost healthcare delivery efficiency (Haldorai & Ramu, 2021). Intelligent healthcare systems are being developed using AI technologies, including computer vision, natural language processing, and machine learning (Nasseef et al., 2022).
AI supports healthcare decision-making, from diagnosis and treatment to resource management and quality control. It has been discovered that AI-based decision support systems can decrease medical errors, enhance patient outcomes, and boost the effectiveness of healthcare services (Contreras & Vehi, 2018). AI can also improve the quality of healthcare services by providing data-driven insights into patient care, optimizing workflow, and automating administrative tasks (Sardar et al., 2019).
AI is being applied to public healthcare systems to enhance decision-making. AI-based systems can facilitate knowledge-based Government-to-Government (G2G) exchanges, improving decision-making related to public health initiatives (Nasseef et al., 2022). AI-enabled technologies can also support clinical decision-making by providing clin...