The Multicenter Perioperative Outcomes Group (MPOG), a consortium of more than 60 hospitals across more than 22
states, is seeking applicants from active MPOG member centers for the 1-year MPOG Outcomes Research Fellowship.
As a leader in perioperative research, performance improvement, and digital innovation, MPOG offers applicants a unique
mentored education experience. Fellows can choose one of two pathways: onsite at the MPOG coordinating center
(University of Michigan, Ann Arbor, MI) or a hybrid experience while staying at their home institution, which must be a
member of MPOG. A minimum of 50% non-clinical time devoted to MPOG fellowship activities is required. Fellows will
participate in monthly didactics led by MPOG coordinating center and participating site faculty. The fellowship includes the
following learning objectives:
● Research informatics
o Gain experience working with different electronic health record ontologies (eg ICD, CPT)
o Understand various common data models (MPOG, OMOP) to store EHR data
o Understand the MPOG data onboarding process, including data extract infrastructure, clinical content
mapping, data validation, and data diagnostics
o Establish options for patient matching across data sources (eg MPOG, surgical registry, claims)
o Understand differential privacy risks and research limitations with different data types
o Develop computed research phenotypes based upon EHR data
● Large dataset analysis
o Identify research questions well-suited for observational data analysis
o Identify research questions that should not be addressed using observational data analysis
o Understand missing data significance and handling options
o Use physiological monitoring artifact reduction techniques
o Identify the strengths and weakness of other complementary perioperative large datasets
o Apply the appropriate research methods checklist (STROBE, RECORD, CONSORT)
o Identify specific statistical analysis technique advantages and disadvantages
● Performance measurement and improvement
o Understand the Delphi process for quality metric specification development and consensus building
across a national collaborative
o Gain understanding of SQUIRE guidelines for healthcare improvement reporting
The applicant may choose to emphasize one objective (Informatics, Large dataset analysis, or Performance
measurement). All fellows will engage in a Practicum Capstone Project, executing an MPOG- based clinical research
project or quality metric development feasible using solely MPOG Research Standard Data.
To achieve these learning objectives, MPOG fellows will actively participate in several MPOG activities, including but not
limited to: site onboarding, quality metric development and validation, research phenotype development and validation,
scientific facilitation, statistical analysis design, and manuscript preparation.
Required qualifications:
● Valid immigration status and work authorization at an MPOG center before fellow’s expected start date
● Completion of medical doctorate degree (MD, MBBS, MBChB, or equivalent)
● Minimum 50% protected non-clinical time devoted to fellowship (documentation by chair required)
● Identification and letter of support from a faculty mentor at the applicant’s local MPOG center
Preferred qualifications:
● Postgraduate training in anesthesiology or surgical residency
● Experience with observational dataset analysis for research or quality improvement
● Coursework in epidemiology or clinical research
Salary support and professional development funding sources will vary based upon hybrid vs onsite pathway. Fellows
may choose to apply concurrently to the University of Michigan NIH T32 Postdoctoral training program or to a relevant
T32 program at their home institution. Please email a cover letter, current CV, letters of support, 1-page research plan
(analogous to NIH-style Specific Aims page), and 1-page training plan (analogous to K/IARS/FAER Training Plan) as an
application packet to mpog-research@med.umich.edu by the deadline indicated on the MPOG website.