Rutgers, The State University of New Jersey
School of Health Professions
 
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Clinical Laboratory and Medical Imaging Sciences
Clinical and Preventive Nutrition Sciences
Health Informatics
Health Information Management, B.S., Undergraduate Certificate
Clinical Research Management - Biopharma Educational Initiative, M.S., Certificate
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Health Informatics, M.S.
Health Information Management, M.S.
Health Informatics, Doctorate
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Medical Coding, Certificate
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Camden Newark New Brunswick/Piscataway
Catalogs
  School of Health Professions 2021-2023 Catalog Health Informatics Clinical Research Management - Biopharma Educational Initiative, M.S., Certificate Program Learning Outcomes  

Program Learning Outcomes


The goals and objectives of the program vary depending on track selected.

For students in the clinical research management track, students will be able to:

1. Design a clinical and translational study incorporating sample size, placebo response, statistical significance, blinding, minimizing bias, randomization, safety management as well as concepts surrounding multiple analyses and multiple treatment arms and endpoints;

2. Apply an understanding of the history of ethical and cultural issues, informed consent, inclusion and exclusion criteria in regard to human subject protection and privacy as well as safety as it relates to the drug development process;

3. Summarize the specific processes in line with regulatory and legislative framework that ensures safety, efficacy, and quality for regulatory authority approval of the marketing authorization for a medical product;

4. Understand the framework of global clinical operations as it relates to good clinical practice, study conduct, and management; safety profile management and control and handling of investigational product;

5. Identify and explain the specific procedural, financial, documentation, and oversight requirements of PIs, sponsors, site personnel, contract research organizations, and regulatory authorities related to the conduct of a clinical trial;

6. Describe how data sets the stage as a critical role in a clinical trial including electronic data capture, the importance of information technology in data collection, capture, management, correction, and queries;

7. Identify and implement the practice of leadership and project management of the ethical and professional conflicts that are associated with the conduct of clinical research and project strategy; and

8. Discuss the various elements of communication between the site and sponsor, health authorities, and contract research organizations as well as within the site through the understanding of multidisciplinary teamwork skills necessary for conducting a clinical trial.

For those students in the drug safety and pharmacovigilance track, students will be able to:

1. Design a clinical and translational study incorporating sample size, placebo response, statistical significance, blinding, minimizing bias, randomization safety management as well as concepts surrounding multiple analyses and multiple treatment arms and endpoints;

2. Summarize the principles of pharmacoepidemiology, pharmacogenomics, and other drug safety science to analyze potential safety issues and understand the patient population and the risks in the drug development process;

3. Summarize the specific drug safety function and processes in line with regulatory and legislative frameworks that ensure safety and quality though the various phases that must be followed in order for the regulatory authority to approve the marketing authorization for a medical product;

4. Understand the framework of drug safety and pharmacovigilance operations as it relates to U.S. and EMA rules, regulations and initiatives governing both safety reporting (ICSR and aggregate reports) and processing data from clinical trials and postmarketing environments, including CIOMS and ICH guidelines;

5. Explain the development and maintenance of Pharmacovigilance System Master File, Safety Management Plans, and Safety Data Exchange Agreements across clinical study programs and postmarketing activities;

6. Identify the data sources, data capture, data assessment (seriousness; labeledness/ expectedness, and causality), data management practices, database tools, and MedDRA dictionary for narrative preparation and analysis of clinical and postmarketing safety data;

7. Perform risk identification (signal detection) and characterize identified risks, potential risks based on signal analysis to develop a risk management plan;

8. Identify the different risk management tools such as RMPS and REMS;

9. Identify and implement the practice of leadership and project management through the role of key drug safety professionals with the drug safety function associated with the conduct of clinical research, product strategy, and responding to regulatory authority inquiries; and

10. Discuss the various elements of communication for a cohesive quality management system including effectively preparing and conducting audits and inspections across the site and sponsor, health authorities, and contract research organizations as well as within the site through the understanding of multidisciplinary teamwork skills necessary for collecting and querying safety data in a clinical trial.
 
For additional information, contact RU-info at 848-445-info (4636) or colonelhenry.rutgers.edu.
Comments and corrections to: Campus Information Services.

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