The Independent Scholarly Project (ISP) is a requirement for all students at Georgetown University School of Medicine and must be completed prior to graduation. Each student pursues a scholarly project that answers (or seeks to answer) a research question under the supervision of a mentor. Students may identify their own research question/project and then find the appropriate mentor or develop a research question/project under the guidance of a mentor. A more detailed explanation of the ISP process can be accessed below.
Many students begin to explore ISP opportunities during their first two years at GUSOM. We encourage contacting the Student Research Advisory Committee if you are interested in research and ISP involvement during those years. The Resources page will also provide further information.
Wednesday, September 13, 2017 (M4) – Proposal
Wednesday, March 1, 2018 (M4) – Poster
Monday April 2, 2018 (M4) – ISP mentor evaluation
Monday April 16, 2018 (M4) – ISP completion form
Monday, April 23, 2018 (M4) – SOM Research Day Poster Presentations
Faculty Members in Search of Students:
Faculty members in need of students to assist with research projects may complete this form.
Hepatitis C screening, treatment, and risk management from Patients’ perspectives
We are looking for an enthusiastic, responsible and dependable medical student to assist in reviewing medical records to identify patients with Hepatitis C infection (HCV) and then enroll eligible HCV-infected patients to participate in a one-time survey interview via telephone. The survey is to understand patients’ behavioral adherence to recommended HCV screening and treatment, engagement in risky behaviors (e.g. alcohol and drug use), risk management, and relevant psychosocial factors. Each interview will take about 30-40 minutes. We anticipate to enroll 50 patients in the next 6 months. The student will receive training to conduct the interviews from members of the research team (below).
This can be a good fit for an ISP, and for students interested in primary care, GI or ID/Hepatitis content.
If Interested, please contact Judy Huei-yu Wang at firstname.lastname@example.org
(Posted October 23, 2017)
Create a Medical App
Interested in EBM or computer programming? Work with Georgetown’s Computer Science Department to design an EBM or iPhone/Android app of your choice. You can do as little or as much programming as you would like. Take a lead role in designing the app and evaluating how other students use it to learn. Supervisor Dr. Weinfeld with support from Prof Mahe Velauthapillai, CS Department.
If interested contact Dr. Jeff Weinfeld at Jeff.Weinfeld@georgetown.edu
(Posted July 12, 2017)
Patient and medication safety projects:
- ICU sedation guidelines and pathway: Help develop guidelines for ICU sedation that will ultimately be built into the EMR to guide practice. Work with a multi-disciplinary team of providers. Help collect post-implementation data to determine safety and efficacy of the guidelines and make changes as necessary.
- Liposomal bupivacaine (Exparel™) is an expensive agent used at the surgical site with limited indications. Use at MedStar has increased with little evidence of safety or cost-effectiveness. Student will help design a drug usage evaluation. This entails developing criteria for appropriate use, reviewing cases against the criteria and analyzing the results. This data will then be used to develop guidelines for usage across MedStar.
- Sugammadex is a selective relaxant binding drug indicated for the rapid reversal of rocuronium and vecuronium (neuromuscular blockade) in surgery. Due to its potential to bind to progesterone, administration may reduce efficacy of hormone-based contraceptives. Help perform a drug utilization review of indications for use, dosing guidelines, patient education and contraindications. This will identify safety and efficacy of sugammadex and identify opportunities to improve its use.
- Alert fatigue is a significant problem that all clinicians face when using EMRs. It occurs after exposure to frequent pop-ups and rules in the EMR and can lead to desensitization to important clinical data and clinician dissatisfaction. This study would review the most commonly overridden alerts, evaluate efficacy and alternatives, if needed, for implementation. Before and after analysis would identify changes in frequency of alerts and response to key clinical parameters they are designed to impact.
If interested in any of these projects contact Bonnie Levin at Bonnie.Levin@medstar.net
(Posted July 12, 2017)
Research opportunities for students can be found at: