||5U24CA204863-04 Interpret this number
||University Of Michigan At Ann Arbor
||Advanced Development and Dissemination of Emerse for Cancer Phenotyping From Medical Records
The increasing use of electronic health records (EHRs) by cancer centers nationwide has led to the
tremendous growth of repositories containing unstructured, free text notes. These notes include clinical
concepts that cannot be found anywhere else in the EHR, and these concepts are needed to characterize a
patient’s specific ‘phenotype’. Having so much data available in electronic format provides unprecedented
opportunities for advancing clinical and translational cancer research, yet many researchers do not have
access to practical tools to assist with identifying and extracting the concepts from these notes. To address this
problem, the University of Michigan Comprehensive Cancer Center Informatics Core developed the information
retrieval tool EMERSE—electronic medical record search engine—which has achieved widespread local
success in supporting hundreds of cancer studies and has led to over 120 peer-reviewed publications.
EMERSE provides innovative features that enable research including visualization of results, reusable patient
lists, and shareable sets of search terms (“Bundles”) that promote more reproducible searches. This project
proposes to develop innovative capabilities within EMERSE and develop the infrastructure to widely
disseminate EMERSE to cancer centers nationwide. The software innovations in this proposal include (1)
securely networking the EMERSE instances to enable searches across cancer centers, which is important for
rare cancers and is in alignment with growing national data sharing initiatives; (2) leveraging the networked
EMERSE instances to share search knowledge between institutions in the form of stored search term Bundles,
promoting the reproducibility of searches across sites as well as within studies; (3) supporting search with
either fully identified or de-identified clinical notes, depending on the users’ credentials and intended use,
which is needed for cross-institutional searching; (4) supporting the inclusion of localized custom dictionaries or
ontologies to be used for query expansion. The technical and collaborative infrastructure to support the
widespread dissemination of EMERSE will be developed, including formation of the EMERSE Research
Informatics Network (ERIN). Five cancer centers, each with varying health information technology
environments, will join ERIN for this project and locally implement EMERSE, making it available to their
researchers. Implementations will be staggered so that lessons learned from implementing at one site can be
used to improve the documentation and be applied to future sites. Implementation details will include how to
address regulatory, institutional review board, security, and compliance issues. The collective knowledge from
these initial implementers will be integrated into a ‘roadmap’ guide to help future cancer centers and other
institutions implement EMERSE with ease. EMERSE will be promoted to other cancer centers through various
mechanisms. The impact and effectiveness of this work will be evaluated across multiple dimensions including
information retrieval metrics, usability, implementation, adoption, satisfaction, and utility.
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