Artificial Intelligence (AI) in Healthcare Courses
Artificial intelligence is a collection of technologies that use machine learning algorithms to make predictions, determine recommendations and carry out tasks. Artificial intelligence is used in a variety of industries, from retail and manufacturing to financial investing and social media management. It’s also becoming increasingly prevalent in healthcare.
If you’re interested in both healthcare and technology, you might consider taking an artificial intelligence in healthcare course to expand your knowledge. Learn about how artificial intelligence affects the healthcare industry and why this type of course may benefit you.
University of Cape Town
Occupational Health and Safety Online Short Course
The University of Cape Town (UCT) Occupational Health and Safety online short course provides you with the theoretical knowledge and practical skills needed to address and promote good standards of OHS within your organisation. Over the course of 10 weeks, you’ll learn to define a health and safety policy, and outline an effective workplace risk assessment that meets South Africa’s legislative framework for OHS.
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What Is the Role of Artificial Intelligence in Healthcare?
As AI technologies become more sophisticated and reliable, the role of artificial intelligence in healthcare continues to expand. AI in healthcare may be used in a variety of settings from surgery centers, emergency rooms and hospitals to primary care doctors’ offices.
In today’s healthcare settings, artificial intelligence supports physicians and other medical professionals in decision-making and administrative tasks. Healthcare professionals may use AI to improve diagnoses and streamline office work like payment processing. In the future, healthcare professionals might rely more on AI to guide their recommendations and treatment plans.
Applications of Artificial Intelligence in Healthcare
Currently, AI can be used for a variety of healthcare functions. Some examples of the application of artificial intelligence in healthcare include the following:
- Predicting which treatment procedures may be most effective for patients and supporting clinical decisions.
- Analyzing clinical notes on patients to provide insights into recommended patient care methods.
- Organizing electronic health record systems and interpreting medical data.
- Executing administrative applications, including claims processing, payment administration and revenue cycle management.
Wherever healthcare data is collected and analyzed, AI in healthcare may make processes more efficient and accurate. AI in healthcare courses help students understand how AI might be used to benefit a variety of healthcare practices.
What Is an Artificial Intelligence in Healthcare Course?
An AI in healthcare course teaches students how AI affects various spheres in healthcare, its potential to serve patient populations and how to implement it in diverse healthcare settings. This type of course typically covers the following topics:
- The types of AI technologies healthcare professionals use today.
- How AI interacts with healthcare providers and treatments.
- Predictions for how the future of AI may transform healthcare services.
- Challenges for using AI in patient care.
- Ways healthcare professionals could learn to work with AI effectively.
An artificial intelligence in healthcare course can differ from a general AI course because the focus of the course will likely be on healthcare applications. This means the course is a fit for healthcare professionals and information technology professionals who work in healthcare, rather than general IT pros. Short courses in public health and AI in healthcare may help healthcare professionals expand their knowledge and innovate in their workplaces to provide more efficient patient care.
Artificial Intelligence in Healthcare Course Description
Artificial intelligence in healthcare courses may cover different topics, depending on the focus on the course. If you’re taking a general artificial intelligence in healthcare course, a typical syllabus might cover topics like:
- Definitions of AI technologies.
- Healthcare applications and foundations of AI and machine learning.
- How to use AI to diagnose disease and monitor patients.
- Data analytics and natural language processing in healthcare.
- Ethics and consent when using AI in healthcare.
- Specific examples of AI applications in healthcare, such as radiology, patient risk or disease diagnosis.
- How AI in healthcare supports administrative tasks and augments clinical workflows.
- How AI in healthcare may be used in various healthcare settings, including emergency care, hospital care, surgery centers and primary care physician offices.
Students in an AI in healthcare course might examine real AI use cases in healthcare, analyze AI opportunities and learn about challenges to AI implementation. Instructors may be healthcare and/or IT professionals who apply a healthcare lens to the AI subject matter.
Artificial Intelligence in Healthcare Course Admission Requirements
AI in healthcare course requirements may vary, but they typically require either a basic understanding of healthcare procedures or technology fundamentals. Some courses are designed for beginners with no prior experience required. Others list math, data analytics or healthcare services skills as suggested prerequisites.
Courses may be offered for free or may require payment. Some programs enable anyone to take the course for free, but to get a certificate, you may need to pay a fee. Other courses have a cost comparable to a graduate program course. Those courses may be applicable to a graduate degree, if students decide to pursue a full graduate program.
Depending on your goals, you might want a more in-depth course that relates to your overall field of study, for example, or you might be more interested in a free beginner course that expands your AI in healthcare knowledge. It helps to compare AI in healthcare course options.
Benefits of Taking AI in Healthcare Courses Online
There are several benefits of taking an AI in healthcare course online. First is flexibility. You may be a full-time working professional with a busy schedule. An online course gives you the option to take the course on your own device, wherever it’s convenient to you. You may learn the modules on a self-paced or flexible schedule that fits in with your work life.
Another potential benefit is that some courses are completely self-paced, which means you can complete the course in as little or as much time as you like.
Online short courses in AI in healthcare give you the opportunity to network with other healthcare professionals around the globe. Many courses feature online forums where you might join in discussions with classmates or ask questions. An online course also gives you the opportunity to study with the education provider you prefer, without having to relocate.
Upon completion, you may get a certificate from the course that you can add to your resume and LinkedIn profile to boost your credentials. You may be able to use your knowledge and your certificate to advance your career in healthcare.
Should I Pursue an Artificial Intelligence in Healthcare Course?
Whether or not you decide to pursue an AI in healthcare course might depend on your personal interests and goals. Since healthcare technology is constantly evolving, if you plan to work in healthcare for your entire career, you might benefit from learning about the potential and current state of AI in healthcare. It could help to look at job descriptions of roles you’re interested in or explore how expanding your AI in healthcare knowledge could benefit you in your career.
AI in healthcare courses could help you if you’re a healthcare professional, if you work in IT and want to work in healthcare settings, or if you’re a healthcare leader or administration executive. Mastering current AI in healthcare trends and technologies might help you grow your career in one of these fields.
Artificial Intelligence in Healthcare FAQs
The following are some frequently asked questions regarding artificial intelligence and AI courses in healthcare.
Some AI in healthcare examples include using machine learning to enhance diagnosis, understand disease prediction, improve patient treatment and assist with making healthcare administrative tasks more efficient. AI in healthcare may be used to help physicians better understand ideal patient care, make preventive recommendations and optimize treatment.
Whether or not an artificial intelligence in healthcare course is worth it can depend on your personal goals. AI in healthcare courses might benefit professionals who work in healthcare as patient providers, IT professionals who work in healthcare or healthcare leaders in roles like healthcare executive or healthcare administrator.
AI in healthcare courses vary in length. Some are completely self-paced and recommend a certain amount of time for completion, such as two hours a week for nine months. Others have a set schedule and take several weeks to several months to complete.
The weekly workload for an AI in healthcare course may vary, but typically these courses are designed to accommodate full-time working professionals. Some courses recommend an average workload of a couple hours per week for study and task completions. Other AI in healthcare courses may be self-paced, so students can complete them in as little or as much time as needed.
Last updated in February 2022
University of Cape Town
Occupational Health and Safety Online Short Course
The University of Cape Town (UCT) Occupational Health and Safety online short course provides you with the theoretical knowledge and practical skills needed to address and promote good standards of OHS within your organisation. Over the course of 10 weeks, you’ll learn to define a health and safety policy, and outline an effective workplace risk assessment that meets South Africa’s legislative framework for OHS.
SPONSORED