Postgraduate Course: Digital Applications in Prosthodontics (PROS11003)
Course Outline
| School | Deanery of Clinical Sciences |
College | College of Medicine and Veterinary Medicine |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | The aim of this course is to explore scientific literature supporting the use of technology applications in the delivery of prosthodontics care. |
| Course description |
In recent years there has been a commercial transition towards the use of computer technologies in the delivery of dental care as a whole. Dental laboratories are now increasing their use of computer assisted design with computer assisted manufacturing (CADCAM) techniques. This has the potential make the science supporting traditional manufacturing techniques redundant as technology companies are now at the forefront of driving patient care.
Understanding the scientific evidence base behind these changes is essential for a prosthodontist to critically review their efficacy. This course will explore evidence and practical application of the following themes:
Optical scanning versus traditional impression systems
Accuracy of CADCAM restorations
Integrating traditional treatment pathways with CADCAM pathways for optimal outcomes
Current trends digital model fabrication
The concept of digital design and communicating with the dental laboratory.
The course will use a combination of seminars and student lead presentations of their own work. Students will also be asked to prepare material in advance and present some cases to discuss via short presentations. Emphasis will be placed on students taking responsibility of exploring broader areas around the course themes as applied to clinical care.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Information for Visiting Students
| Pre-requisites | None |
| High Demand Course? |
Yes |
Course Delivery Information
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| Academic year 2022/23, Available to all students (SV1)
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Quota: None |
| Course Start |
Flexible |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
98 )
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| Assessment (Further Info) |
Written Exam
100 %,
Coursework
0 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
100% written exam |
| Feedback |
Feedback is generally provided within three weeks of the exam date. |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Identify clinical problems and synthesise treatment plans in order to optimise them when using a CADCAM process.
- Critically evaluate the differences between traditional, hybrid and all digital approaches to patient care with respect to dental impressions and bite registrations.
- Critically evaluate the differences between traditional, hybrid and all digital approaches for CADCAM restorations.
- Demonstrate a critical scientific overview of additive and subtractive manufacturing techniques used in dentistry.
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Reading List
Reading lists will be provided via Learn VLE and Discovered.
Additional supporting resources will be provide via pre-recorded lectures and clinical demonstrations accessible from Media Hopper (accessed through Learn VLE). |
Additional Information
| Graduate Attributes and Skills |
1. Creatively integrate the use of CADCAM treatment pathways in prosthodontics.
2. Be able to communicate and advise patients at an appropriate level the use of CADCAM treatment pathways.
3. Having knowledge and understanding to manage the dental team in order to achieve optimal results when using CADCAM techniques in prosthodontic care. |
| Keywords | CADCAM,Digital,Prosthodontics,Scanning |
Contacts
| Course organiser | Dr Krishna Bhatia
Tel: (0131) 536 3976
Email: kbhatia@exseed.ed.ac.uk |
Course secretary | Ms Petra Hopert
Tel: 0131 536 3982
Email: Petra.Hopert@ed.ac.uk |
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