Health Informatics Services and Consulting

Advanced Health Data Science, Artificial Intelligence, Bioinformatics, Machine Learning and Analytics 

 Data Image Health Data Science

The University of Minnesota’s Institute for Health Informatics (IHI) offers advanced informatics innovation and expertise to companies, academic institutions, healthcare organizations and the informatics community through consulting, education, collaboration and partnerships to improve patient outcomes and population health, reduce healthcare costs and improve clinician experience. For over 50 years, the IHI has been a center of innovation in bioinformatics, clinical informatics and healthcare data science. 

IHI faculty and staff are well-respected, highly successful informaticists that have deep experience on the cutting edge of health informatics. The team differentiates itself by having significant expertise in healthcare focused data science and analytics, secondary use of electronic health record (EHR) data, translational bioinformatics, biomedical machine learning and natural language processing (NLP).  We also have access to University of Minnesota clinical translational scientists and clinicians in over 80 medical, nursing, pharmacy, dental and public health disciplines.  And we work closely with the University’s Data Science, Computer Science and other resources which can be mobilized to support projects.

Capabilities Data Graph

Advanced Health Data Science Consulting

  • Full-life cycle informatics consulting 
  • Data management infrastructure design
  • Study Design 
  • Predictive modeling and analytics 
  • Biomedical AI and machine learning 
  • Access to clinical translational scientists and clinician experts in over 80 disciplines 

Causal Discovery and Inference 

  • Causal model discovery 
  • Causal feature selection 
  • Improved model predictivity and interpretability 
  • Model optimization and implementation 

Secondary Use of EHR Data

  • Standardized information model, data augmentation, geocoding, linking and de-identification
  • NLP of notes and unstructured data
  • Significant experience with EHR data extraction, cleaning, standardization, terminologies and analytics
  • Custom data mart and healthcare analytics project support
  • Experience with national research networks such as TriNetX, CTSActs, MARCH

Clinical Trials ManagementColor data graph

  • Study planning and management
  • Data collection design
  • Financial budgeting and reporting
  • Integration and data management
  • Regulatory and standards compliance
  • Patient recruiting

Natural Language Processing

  • Advanced NLP tools and techniques to process and encode unstructured and textual data
  • Mapping of concepts to standard ontologies (UMLS) or custom ontologies
  • Named entity recognition negation
  • Family history detection
  • Custom terminologies and synonyms 
  • Acronym and abbreviation disambiguation
  • Clinical knowledge extraction from literature
  • Ontology based semantic similarity and semantic relatedness

Bioinformatics and GenomicsData Image

  • Analytics for genomic, transcriptomic, proteomic and epigenetic profiling and translational applications for personalized medicine
  • Next generation sequencing (NGS) informatics support from assay to genotype and phenotype association
  • Algorithm development and implementation
  • Single cell sequencing analytics
  • Pharmacogenomics

Industry Collaboration

  • Internships/Masters Projects 
  • Monthly Informatics Speaker Series/Webinars 
  • Advisory Board