Biomedical, Clinical and Translational Science Interdisciplinary Specialization: Program Description and Course Options
Biomedical, Clinical and Translational Science Interdisciplinary Specialization: Program Description and Course Options
The goal of the Biomedical, Clinical and Translational Science Interdisciplinary Specialization (BIOMCLT-IS) is to prepare graduate and professional students to be actively engaged in the field of clinical and translational science through academic training and research. As defined by The Ohio State University Graduate School, a graduate interdisciplinary specialization (GIS) involves two or more graduate programs outside the student's home program. Completion of a GIS is noted on the student's transcript. The core course in this program focuses on the basic components of clinical and translational science, while the electives allow students to pursue topics across the other health sciences colleges for an interdisciplinary experience.
As a result of participation in the program, it is expected that students will:
- Develop skills in designing clinical and translational research studies;
- Apply statistical procedures to clinical and translational research problems;
- Develop skills for the communication of the scientific concepts and research questions in one’s own discipline to experts in other disciplines and to the public at large;
- Understand how to involve the community in clinical and translational research; and
- Build interdisciplinary/intradisciplinary/multidisciplinary teams to study clinical and translational
research issues.
Application deadline: Applications will be accepted on a rolling basis.
Curriculum Requirements
- The BIOMCLT-IS requires a minimum of five courses.
- All students enrolled in the BIOMCLT-IS must take PUBHEPI 6412 Conducting and Communicating Research in Clinical and Translational Science. This is a 2-credit hour course offered each autumn semester by the College of Public Health. It is recommended, but not required, that this course be taken first.
- Students must take at least one course from each of the four Core Competency Clusters. The Competency Clusters are based on the National Center for Research Resources (NCRR) Core Competencies for Clinical and Translational Research. There are a total of 14 competencies that have been grouped together to form four clusters.
- Most of the participating colleges have internal procedures that are required to enroll in their courses, such as contacting the instructor. For most of these courses you will need to talk to the instructor before enrolling. All these courses have been approved by their department and/or college for inclusion in the BIOMCLT-IS.
Specialization Guidelines
- Per graduate school guidelines, the BIOMCLT-IS require a minimum of 10 and no more than 20 semester credit hours of graduate level coursework.
- A graduate interdisciplinary specialization involves two or more graduate programs outside the student's home program. Nine credit hours must be taken outside of the student's home program in at least three courses and at least two other programs. Thus, if you are a BSGP student, you must select at least three courses from the BIOMCLT-IS course menu that come from outside that curriculum. These courses can come from other programs in the College of Medicine or from other colleges.
- Credit hours can include work already required as part of the student's degree program.
- If there is a course that fits the competencies but is not listed here, it is possible to substitute it for a listed course. Contact the BIOMCLT-IS program administrator for more information.
- When the student has completed the GIS program, the student must complete the GIS transcript designation form in GRADFORMS for final review. Once reviewed and approved by the GIS program and the Graduate School, the designation will be posted to the student’s academic record. See the above link for more information.
Questions? Contact the BIOMCLT-IS program manager at Stuart.Hobbs@osumc.edu or 614-685-5972
The Core Competencies
In 2008, The National Center for Research Resources and the Clinical and Translational Science Award (CTSA) Education and Career Development Steering Committee developed national standards for core credentialing competencies for clinical and translational science. The overall goal was to create a competency-based education for training clinician-scientists that will define the discipline of Clinical and Translational Science.
The Ohio State University Clinical and Translational Science Institute (CTSI) uses these Core Competencies to develop its foundation courses as well as evaluate trainees. There are a total of 14 competencies that have been grouped together to form four clusters.
Research Methods
- Identify major clinical/public health problems and relevant translational research questions
- Identify, interpret and critique literature and assess the state of knowledge regarding a problem
- Know how to design a study protocol for clinical and translational research
- Understand study methods, design and implementation
- Use appropriate laboratory, clinical and population research methods
- Understand the principles of the conduct of responsible research
Analysis, Statistics and Informatics - Be able to use appropriate statistical methods and conduct relevant analysis
- Describe and make use of best practices for managing, protecting and analyzing biomedical and health information
Community and Communications
- Understand the principles of community engagement in clinical and translational research
- Navigate competently among divers populations and cultures
- Be able to communicate scientific findings to your peers and to disseminate scientific knowledge to those outside your field, including other scientists, university administrators, policy makers and the public
Leadership and Training
- Participate in cross-disciplinary training and mentoring
- Demonstrate leadership and professionalism
- Engage in translational teamwork
Research Methods | Analysis, Statistics, and Informatics | Community & Communication | Leadership & Training |
BSGP 8050: Research Techniques & Resources (4 credits) | PUBHBIO 6210 - Applied Biostatistics I (3 credits) DL | BSGP 7070:Fundamentals of Grant Writing I (4 credits) | EEOB 5510: Interdisciplinary Team Science (3 credits) |
MCR 7782: Clinical Research Designand Methods. (3 credits) DL | PUBHBIO 6211 - Applied Biostatistics II (3 credits) DL | BSGP 7080:Fundamentals of Grant Writing II (2 credits) | HTHRHSC 7300:Management & Leadership in Health Sciences (3 credits) |
PUBHEPI 7412: Principles & Procedures for Human Clinical Trials (3 credits) | PSYCH 6810:Statistical Methods in Psychology I (4 credits) | Nursing 6110:Health Literacy (2 credits) | HTHRHSC 7350: Issues& Policy in HealthSciences (3 credits) |
PUBHHBP 7534: Research Methods in Health Behavior & Health Promotion (3 credits) | PSYCH6811: Statistical Methods in Psychology II (4 credits) | PUBHHBP 7520: Community Health Assessment (2 credits) | MCR 7404: Project Management for Healthcare and Clinical Research (3 credits) DL |
HTHRHSC 7574: Mixed Methods Approaches for Policy-Related Research (3 credits) | STAT 5301:Intermediate Data Analysis I (4 credits) | PUBHHBP 6535: Community Engagement and Collaborative Community Problem-Solving (3 credits) DL | PHR 5560: Success & Leadership in Pharmacy (1.5 credits) |
SOCWORK 8406: Mixed Methods Research in Social and Health Sciences (3 credits) DE | STAT 5302:Intermediate Data Analysis II (3 credits) | PUBHEPI 6413: Conducting & Communicating Research in Clinical &Translational Science (2 credits) | PUBHHBP 6558: Policy as a Prevention Strategy (2 credits) |
PUBHBIO 7215: Design and Analysis of Clinical Trials (2 credits) DL | VETCLIN 8783:Experimental Design & Data Analysis in Veterinary & Comparative Medicine I (1 credit) | VETCLIN 8781 Research Methods and Grantsmanship (1 credit) | PUBHHMP 7617: Health Services Leadership & Organ- izational Change (3 credits) |
PUBHHBP 7522: Program Planning &Implementation (3 credits) | VETCLIN 8784:Experimental Design & Data Analysis in Veterinary & Comparative Medicine II (1 credit) | VISSCI 7940: OralPresentation of Scientific Research (1-3 credits) | PUBAFRS 6000: PublicPolicy Formulation & Implemen-tation (4 credits) DL |
PUBHHMP 8671:Health Care Outcomes Measurement (2 credits) | PUBHBIO 5280: Introduction to Genomic Data Analysis (3 credits) | VISSCI 7970: Grantsmanship (2 credits) | PUBAFRS 7572: Policy Simulation and Modeling (3 credits) |
HTHRHSC 7883: Responsible Conduct of Research (3 credits) | BMI 5710: Introduction to Biomedical Informatics (3 credits) DL | ||
PHR 8520: Research Ethics (1 credit) | BMI 5750: Methods in Biomedical Informatics (3 credits) DL | ||
VISSCI 7960: Ethicsin Biomedical Research (2 credits) | Research Methods, cont. | ||
GRADSCH 8000: Responsible Conduct of Research (1 credit) | |||
NURSING 7781: Responsible Conduct of Research. (3 credits) DL | BMI 8150: Rigorous and Reproducible Design and Data Analysis (3 credits) Can be used either for Methods or Analysis |