The IHDR is a collaborative project with three goals:  

  • Improve understanding & availability of health data on campus. 

  • Build transformative data sets for health science research.  

  • Establish a data enclave and other technologies to enable big data and AI approaches to health and biomedical science  

Enterprise Data Warehouse for Research (EDW4R)

The backbone infrastructure for real-world data in clinical and translational science, the EDW4R contains data from electronic health record systems and other sources.  Best practices for EDW4R’s continue to evolve.  Benefits of EDW4R include more effective and efficient clinical and translational science support through access to EHR data curated by informatics experts to facilitate research. 

Data Enclave

This computational resource provides storage appropriate for use with campus tools Argon (HPC) and Interactive Data Analytics Service (IDAS) when using University of Iowa Health Care clinical data.

Electronic Medical Record Search Engine (EMERSE)

EMERSE (Electronic Medical Record Search Engine) is software that helps researchers accurately find important patient details like diagnoses, medications, procedures, and complications from clinical notes. 

 

ICTS-BMI can use this tool to identify computable phenotypes built on these unstructured data elements. EMERSE is an information retrieval tool. 

Data Liaison Directory

View Directory

Name 

Role  

College 

Keywords 

IHDR Co-Director 

CCOM 

 

IHDR Co-Director 

CCOM 

 

Asher Hoberg 

Co-Lead Data Access Team  

ICTS 

 

Tara Carr 

Staff Data Liaison 

ICTS 

 

Diva Perez 

Transformative Dataset Lead 

ICTS 

 

Chris Ortman 

Lead Data Architect 

CCOM 

 

Faculty Data Liaison 

CCOM 

 

Brian Gryzlak 

Staff Data Liaison 

COPH 

 

Faculty Data Liaison 

COPH 

 

Faculty Data Liaison 

CCOM 

 

Scott Egerton 

Staff Data Liaison 

COP  

 

Faculty Data Liaison 

COD 

 

Faculty Data Liaison 

CCOM  

 

Faculty Data Liaison 

CON  

 

Faculty Data Liaison 

COP  

 

Faculty Data Liaison 

COD  

 

Rhonda DeCook 

PCORNET Query Engineer 

COPH  

 

Faculty Data Liaison 

CCOM 

 

Jennie Embree* 

Staff Data liaison 

CON 

 

Jessica Wolf 

Staff Data Liaison 

CON  

 

William Keating 

Ad Hoc Staff Data Liaison 

COD 

 

Ad-Hoc Faculty Data Liaison 

COM 

 

Justin Perez 

Data Engineer 

ICTS 

 

Elaine Dettner 

Staff Data liaison 

CON 

 

An Gie Cech 

Data Engineer 

ICTS 

 

Lucas Van Tol 

Systems Engineer 

HCIS 

 

Staff Data Liaison 

CCOM 

 

Laura Jacobus* 

Ad Hoc Staff Data Liaison 

CCOM 

 

Ad-Hoc Faculty Data Liaison 

CON  

 

Ad-Hoc Faculty Data Liaison 

CON  

 

Faculty Data Liaison 

CCOM 

 

Faculty Data Liaison 

CCOM 

 

Faculty Data Liaison 

CCOM 

 

Ad-Hoc Faculty Data Liaison 

CON 

 

Gi-Yung Ryu 

Data Architect 

ICTS 

 

Manny Olutunde 

Data Engineer 

ICTS 

 

Joe Spring 

REDCap Lead 

ICTS 

 

Robert Holmes 

Staff Data Liaison 

ICTS 

 

Ad Hoc Staff Data Liaison 

CON 

 

Ad-Hoc Faculty Data Liaison 

CCOM 

 

Jordan Gunti 

Data Engineer 

ICTS 

 

Ad-Hoc Faculty Data Liaison 

COE 

 

Ad-Hoc Faculty Data Liaison 

CON 

 

Elizabeth Verhage 

Ad Hoc Staff Data Liaison 

COPH 

 

Melissa Curry 

Ad Hoc Staff Data Liaison 

CCOM 

 

Ad Hoc Staff Data Liaison 

COPH 

 

Ad-Hoc Faculty Data Liaison 

CCOM 

 

Faculty Data Liaison 

COB 

 

Faculty Data Liaison 

COB 

 

Ad-Hoc Faculty Data Liaison 

CON 

 

Faculty Data Liaison 

COPH 

 

Faculty Data Liaison 

COE 

 

Kelsey Steckly 

Ad-Hoc Staff Data Liaison 

HCCC 

 

Staff Data Liaison 

COB 

 

Ad-Hoc Staff Data Liaison 

COPH 

 

Faculty Data Liaison 

COE 

 

Data Request

This service provides access to clinical data for scientific research from our electronic health record (EHR) and Enterprise Data Warehouse or Research (EDW4R).  

TriNetX Self Service Tool

TriNetX with University of Iowa Health Care provides researchers with the ability to securely explore limited, de-identified data from the Electronic Health Record. This is a web-based platform that allows the user to specify inclusion and exclusion criteria to find populations of interest. This tool is most useful for identification of patient cohorts for preparation to research. 

ICTS provides TriNetX at no cost to University of Iowa Faculty, Staff and Students 

Self Service Tool

 

TriNetX 

SlicerDicer 

Who can access? 

Any University of Iowa faculty, staff, or student who is doing clinical research 

Anyone with access to Epic 

Date Range of the data 

1/1/2010 to present 

0 

Refresh cycle 

Weekly 

Nightly 

Types of data 

Demographics, diagnoses, procedures, medications, labs, vitals, visits, dental, oncology 

Many different data models and data types 

Ability to access identifiable data 

Yes, with assistance from the ICTS Biomedical Informatics Core 

For clinical access, you can see data for your patients 

For research: 

  • If there is an Epic research study, you can look at PHI for data related to that study. 

  • If there is not an Epic research study, you can still get access to the line level patient data, but you will need help from the ICTS Biomedical Informatics Core 

Transformative Datasets

View Data Sets

Transformative Data Sets  

Description 

Status  

Lead & Champion 

Intergenerational Health Knowledgebase (IHK)  

This datamart is a collaboration between Neonatal, Epidemiology, and OB-GYN research groups to come up with a core set of mother/baby/pregnancy information that would be across these groups for research 

Live  

D Santillan  

Neurodevelopmental Registry (NDVR)  

Provides a comprehensive set of data and information on UIHC patients who are at increased risk for mental illness and to understand outcomes for this population 

Live  

J Michaelson  

Dental Medical Data Mart (DMDM)  

Integration of UI dental data captured in axiUm with UI clinical data (Epic) – accessible via TriNetX. This datamart is also integrated with NAACCR and SSDMF data sources. 

Live  

E Zeng / C McBrearty 

Nursing Care Dataset (NCD)  

Will provide a comprehensive set of data and information on nursing delivered care and care outcomes mapped to NIC, NOC, and NANDA concepts 

Piloting 

Dunn Lopez  

Cochlear Implant Knowledgebase (CIP50)  

A collaboration between Otolaryngology, Psychological and Brain Sciences to integrate data across multiple research projects into a single data resource. This data mart will contain integrated information regarding research study details, research design, comprehensive information on research participants, demographics 

Piloting  

B McMurray / C Dunn Johnson// J Oleson 

SDOH Knowledgebase  

 

In development   

Carvour/Madlock/Santillan 

Oncology Knowledge Base  

 

Planning  

K Nepple 

SDOH Knowledgebase  

 

Planning  

Carvour/Madlock/Santillan 

Data Tiers

View Tiers

Data Tier 

Tier 0 

Tier 2 

Tier 3 

Tier 4 

Tier 5 

Description 

Self Service Tool 

 

Self Service informed data pull 

 

 

Self Service informed data pull 

 

 

 

Custom tailored 

Collaboratively developed data resource 

Data Includes 

Counts Only 

Retrospective coded data, limited data set 

(Dates identified) 

 

Identified 

Demographics 

 

Data Mapped to a Data Model 

Built to specification. 

Data Architect Resources 

None 

$ 

$ 

$$$$ 

$$$$$ 

Time to get data 

None 

O 

O 

OOOO 

OOOOO 

Use case 

Feasibility 

Retrospective analysis 

Chart review, study recruitment 

Complex analysis 

 

Data Tier Data Dictionary - Coming Soon

Data Dictionaries

Explore database objects, data lineage, profiling, and documentation. 

Research Networks

Research Collaborative Networks 

Research Collaborative Networks 

Data Model 

Lead /Champion 

Greater Plains Collaborative (GPC) PCORNET  

PCORNet 

Chrischilles 

TriNetX Research  

TriNetX 

Davis 

National COVID Cohort Collaborative (N3C)  

OMOP  

Davis  

Data Collaborative Research Network (DCRN)  

TriNetX 

Davis  

ORIEN  

ORIEN  

Weiner  

Cosmos  

Epic   

Blum / Hamilton 

All of Us Research Hub 

OMOP  

Comellas/Madlock/ Davis 

Big Mouth  

 i2b2 

McBrearty 

External Data Sharing

A UI Health Care process to review projects that share Health Care data outside of the Health Care environment. This review process involves: 

  • Checking for consistent language regarding the sharing between contracting, IRB, and the external data sharing form

  • Ensuring appropriate documents have been routed to the appropriate UI contracting organizations 

  • Security review of third-party applications for data transfer or storage 

  • Confirming sharing is aligned with institutional and federal policies 

  • https://workflow.uiowa.edu/form/external_data_sharing 

Data Attestation

The Attestation Data Access Agreement is a legal document between the researcher and the University of Iowa for the secondary use of UI Health Care clinical data for research. 

The primary use of UI Health Care clinical data is for clinical care. To be able to use UIHC clinical data for research purposes, researchers must attest and complete the requirements outlined in the Attestation Data Access Agreement.