Postgraduate Certificate in Artificial Intelligence in Medicine
Our Postgraduate Certificate in AI in Medicine is designed to prepare healthcare professionals to maximise opportunities from AI in Healthcare. Artificial Intelligence (AI) continues to revolutionise several fields, including healthcare, by providing innovative solutions that can enhance patient outcomes, reduce medical errors and lower healthcare costs (Bishen, 2023).
As AI technology advances, healthcare professionals have an opportunity to adopt Artificial Intelligence and its applications to enhance and augment processes, allowing them to extend and accelerate current systems and processes. Our AI in Medicine course offers the opportunity to for healthcare professionals to successfully implement AI into their practice, allowing for noticeable advancements to healthcare services and improved patient outcomes.
A relevant undergraduate healthcare degree is a requirement for medical professionals applying for this Postgraduate Certificate in AI Medicine
Subject to validation
Next intake: September 2024Key Facts
AI technologies such as machine learning, natural language processing and computer vision are increasingly being used for disease diagnosis, drug discovery and medical image analysis. It is crucial for healthcare professionals to stay abreast of the latest developments and utilise them in their work, which is made possible through education with AI in Healthcare courses.
Our part-time AI in Medicine course takes just 6 months to complete, and is delivered fully online, presenting a valuable opportunity for medical professionals internationally to further their education and knowledge of AI in medicine.
On completion of this PGCert AI in Medicine course, students will be able to:
- Develop a systematic understanding and critical knowledge of the use of artificial intelligence in healthcare settings.
- Critically evaluate the evidence base and develop advanced problem-solving skills that apply to practise in healthcare settings involving the application of artificial intelligence.
- Critically analyse the ethical, legal and social implications of the use of AI in healthcare.
Subject To Validation
This programme has not yet been validated by a University partner. We are accepting applications for this course on the basis that it will shortly be validated. Please note that all applications are subject to this validation being approved.
Subject to validation
Next intake: September 2024 Key Facts
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Why Study an AI in Medicine Postgraduate Certificate with Learna
We have over 10 years’ experience delivering online courses, giving you access to flexible, affordable distance learning in partnership with world-leading educators.
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Our courses are 100% online. No fixed study times mean you can log in and learn whenever and wherever.
Multidisciplinary - study in a group of doctors, nurses, pharmacists and other healthcare professionals.
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All of our programmes are authored and developed by world leading experts in their field.
Our faculty are selected due to their subject expertise, experience and teaching abilities to ensure the highest standards of educational excellence.
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Get a University Validated postgraduate qualification in just 1 calendar year instead of 2 academic years.
40% of our alumni reported an increase in salary 2 years after studying with us.
Who is this course for?
This AI medicine course is aimed at all healthcare professionals with a related undergraduate degree who have an interest in the use of artificial intelligence in healthcare, including:
- GPs
- Nurses
- Pharmacists
- Radiographers
- Pharmacologists
- and other medical professionals.
How Will I Learn?
You will be supported throughout your studies by a committed team of internationally recognised educational experts.
Our courses are conducted through our interactive online learning platform, log in daily whenever and wherever you want. No fixed timetable empowers you to study when it suits you
These usually occur within groups of 10-20 students, allowing you to clearly communicate with both your tutor and fellow students.
Curriculum
Our online AI in Medicine Postgraduate Certificate allows you to study for just six months and is a part-time, distance-learning course. The course is worth 60 credits and comprises three modules of 20 credits, each running over a period of six weeks.Module aims:
To introduce students to the fundamentals of Artificial Intelligence (AI) and its applications in medicine. Students will gain an understanding of AI technologies that can be leveraged to enhance diagnostic accuracy, treatment planning, and patient outcomes within healthcare settings.
Content summary:
Indicative content to include topics outlined below and/or any other relevant current topics to fulfil the module aims and learning outcomes:
- Introduction to AI in Healthcare
- Core AI technologies in Healthcare
- Managing Medical Data
- AI in Clinical Decision Making
- AI in Medical Research
- Challenges in AI for Healthcare
Learning outcomes:
- Critically analyse evidence-based research, methods and challenges associated with applying artificial intelligence technologies in healthcare settings.
- Develop a systematic understanding of evidence-based solutions and recommendations that leverage AI to improve patient outcomes, maximise the value of medical research, and address ethical challenges surrounding the implementation of artificial intelligence technology and principles in healthcare.
Module aims:
To develop students' knowledge and understanding of current and emerging applications of artificial intelligence across a variety of medical contexts, enhancing their critical analysis skills and striving to improve patient outcomes.
Content summary:
Indicative content to include topics outlined below and/or any other relevant current topics to fulfil the module aims and learning outcomes:
- AI in Diagnostic Imaging
- Personalised Medicine through AI
- AI-Enhanced Surgery
- Wearables and Remote Health Monitoring
- AI in Mental Health Treatment
- Exploring the Future of AI in Medicine
Learning outcomes:
- Critically evaluate current and emerging AI technologies for a range of healthcare applications, analysing the potential benefits and limitations of these tools in medical practice.
- Develop a systematic understanding of current requirements, challenges and solutions in implementing AI technologies adopting a multidisciplinary approach and for a variety of healthcare settings.
Module aims:
To develop students' knowledge and capabilities when assessing multifaceted ethical, legal and societal challenges surrounding the integration of AI in healthcare.
Content summary:
Indicative content to include topics outlined below and/or any other relevant current topics to fulfil the module aims and learning outcomes:
- Ethical Frameworks in Medical AI
- Ensuring Data Privacy and Security
- Addressing Bias and Equity
- Legal and Accountability Issues
- Social Impact and Patient Engagement
- Navigating Future Challenges
Learning outcomes:
- Exhibit an in-depth knowledge of the ethical, legal and societal challenges associated with artificial intelligence in a variety of medical contexts.
- Develop evidence-based policy recommendations that incorporate the latest research and take into account ethical frameworks and legal issues related to the application of AI in medicine.
Assessment Methods
The Postgraduate Certificate in AI in Medicine places assessments at the heart of the learning process through the employment of real life scenarios to enhance problem-solving, critical analysis and evidence-based practice. Since the scenarios act as a focus for learning and assessment, the two are intrinsically linked.
The three modules on the course have the same assessment format and for all modules, you will be assigned a dedicated expert tutor. Your tutor will then facilitate case discussions with the group, whilst monitoring, assessing and marking your work throughout. You will also participate in a combination of module activities that may be group and/or individual based, dependent on the module.
These innovative teaching methods enable you to envisage the translation of your studies into your every day work and practice. Due to the online nature of the course, you will be expected to regularly login and participate in the course - ideally on a daily basis. Students are recommended to spend around two hours per day on their studies. Our dedicated Student Support Team are also available to help with any problems you may face. From navigating our online platform to advising you on deadlines, our team can assist with any questions or challenges you may have along the way.
Students are required to critically analyse clinically focused case-based scenarios, discussion threads and weekly questions posed by their tutors via the Academic Forum (an online discussion board) and designed to meet the module learning outcomes. Here, students make their own researched and referenced contributions and interact with the tutor and their fellow students. There is no didactic teaching, instead, students are posed questions and prompted to search the literature, read it critically and respond. Engagement is encouraged by the tutor prompting students to respond and the use of automated activity monitoring software.
At the end of each module, the tutor allocates marks to each student based on a marking rubric. The rubric takes into account the following elements:
· Promptness and initiative
· Delivery of post (spelling and grammar)
· The relevance of post and referencing
· Expression within the post
The group activity is designed to stimulate and test the students’ ability to work as a team in taking the subject area forward. A group task is set, the group elects a leader using the online forum (designed to put leadership skills into practice) and the leader allocates tasks to group members.
The leader is responsible for managing, collating and submitting the activity (online) at the end of the module. The tutor provides formative guidance part way through the module and marks the assessment at the end.
Examples of individual activities might include either a written assignment, poster, blog or social media project.
All students must complete the same assignment for each module that is predetermined by the programme Leader before the modules commence. Students are not provided with an option to choose.
Case problems in the form of a one-hour timed examination with multiple-choice ‘single best answer’ questions directly test the reasoning and knowledge objectives of the module. The online examination is marked automatically. The examination tests Anti-Ageing Medicine related theory and problem-solving skills.
The online reflective journal is a learning portfolio that requires the students to record and critically reflect on their learning. Reflection is an important aspect of the programme as the professionals will be able to spend time considering how their practice compares to the themes being discussed in the module. The tutor provides regular feedback to the student and marks it at the end of the module.
Reflective practice is a requirement for healthcare professionals for both professional re-validation and professional development.
Entry requirements
Since our artificial intelligence course for doctors, nurses and other healthcare professionals is conducted entirely online, it is accessible to both UK and international registered healthcare professionals.
Applicants will typically hold a first degree or equivalent (including international qualifications) in a relevant professional healthcare or management field.
Registered healthcare professionals working in the healthcare field without these recognised qualifications will be considered on an individual basis and a wide range of prior experience may be taken into account. In some cases, applicants may be asked to submit a piece of work for assessment in order to confirm that they are able to work comfortably at postgraduate level, and demonstrate the requisite clinical and professional knowledge.
Documents Required
- A copy of your updated CV including your address and date of birth.
- A copy of your undergraduate degree certificate.
- The name and email address of someone who is able to provide a reference, this can be a work colleague, employer or former tutor.
- A detailed personal statement explaining why you would like to undertake the course.
- A copy of your proof of English competency (see below).
English Language Requirements
Proficiency in the English language is also essential to completing our courses. If English is NOT your first language, we ask for proof of competency during the application process. We are able to accept an IELTS overall score of 6.0 (with a minimum of 5.5 for each band) or an equivalent qualification.
If you do not meet these requirements, please don’t worry. The University of South Wales run a number of English Language Programmes at the Centre for International English to prepare you for your academic studies. You can also contact our admissions team on admissions@diploma-msc.com for more information on the qualifications we accept.
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