Biomedical Informatics Fellowship
Fellows in Anesthesia Biomedical Informatics will develop their knowledge and experience in the use of information technology, allowing them to optimize safety and quality for patients in the intraoperative environment, with an end goal of improving short- and long-term patient outcomes.
Fellows will work alongside faculty mentors in the Department of Anesthesia, Critical Care and Pain Medicine. Fellows will participate in a one or two year comprehensive program to prepare for roles in developing, implementing and studying clinical information systems. Fellows will gain experience in the field of health services research and biomedical informatics within the academic setting of the Massachusetts General Hospital and Harvard Medical School. The program will allow individuals to acquire essential research skills and an understanding of quality improvement methodology in order to improve patient care.
- An advanced degree in the health or biological sciences
- Demonstrated excellent computer science skills, leadership, and teaching abilities as well as the ability to make timely and effective decisions.
- Must be an accessible, calm, mature, and fair individual with strong interpersonal skills that permit him/her to work independently and establish credibility with individuals across disciplines.
- A background in basic and/or clinical investigation and demonstration of scholarly attributes in teaching are desirable.
- Must exhibit professionalism and commitment to learning.
OBJECTIVES OF THE FELLOWSHIP PROGRAM
- Produce a new generation of researchers, educators and leaders with the skills to translate advanced research in biomedical informatics into improved clinical practice.
- Utilize technology to transform the health care system by improving outcomes, patient experience and access to care.
- Enable fellows to acquire knowledge and skills in database management, computer science, decision support, and statistics.
- Provide a common core didactic curriculum united with a set of diverse practical research experiences.
- Acquire training in a variety of focus areas such as public health, clinical informatics, epidemiological research, and data repositories.
- Develop technological innovations that increase the quality of medical care and decrease the cost.
- Conduct novel research in the area of biomedical informatics and decision support. Join ongoing research projects in the Department. Present the research results to the biomedical community through written and verbal communications.
Fellows will be supervised by the two program directors and a faculty advisor from within the Department of Anesthesia, Critical Care and Pain Medicine. Our department consists of a diverse group of clinicians, scientists, IT professionals, biomedical engineers and researchers dedicated to ensuring a successful fellowship for the candidate. The department professionals and faculty have a wide range of expertise in the following areas:
- Clinical informatics
- Anesthesia information technology
- Information management systems
- Database management
- Auto-ID technology and applications
- Location tracking systems
- Perioperative process monitoring and control
- Perioperative systems design
- Computer programming
- Data modeling and algorithm design
- Perioperative quality and safety
- Medical device interoperability
- International medical device standardization
- Intelligent clinical monitoring systems
- Process control methodology
- Continuous quality improvement
Selection into the fellowship is highly competitive. Individuals with advanced degrees in the health or biological sciences and an avid interest in biomedical informatics are encouraged to apply. Applicants should submit (1) a letter of interest, (2) curriculum vitae, (3) three letters of recommendation, and (4) transcripts to be considered for the fellowship. For more information, please contact the fellowship coordinator.
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Massachusetts General Hospital provides a welcoming and supportive environment for employees of all ethnic backgrounds, cultures, ages, lifestyles and physical abilities.


