Research Informatics Request
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Please select the Research Informatics Tool or Resource you are interested in. * must provide value
Data Collection, Cohort Discovery & Recruitment Tools Which resources are you interested in?
* must provide value
HERON The Healthcare Enterprise Repository for Ontological Narration ( HERON ) is a query and analysis tool for researchers to use a simple, drag-and drop interface to query an integrated clinical data repository of the electronic health record (EHR) as well as research participant registry, socioeconomic data, death data, and clinical notes. Researchers can build a study cohort with HERON using the i2b2 (Informatics for Integrating Biology and the Bedside) software and request de-identified and identified data. Existing data sets from research studies with a similar population can be utilized to identify cohort attributes and occurrence, conduct sample size calculations, and determine other factors that may impact enrollment feasibility This is a valuable resource for clinical and translational research. Click here for
HERON Access and Sponsorship
HERON Data Request Process (kumc.edu)
Visit our Website HERON (kumc.edu)
To view our workflow process see the attachment.
REDCap REDCap (Research Electronic Data Capture) enables rapid project development and provides users with advanced functionality, complete autonomy and control of a project and direct exports to common statistical packages. REDCap surveys and databases are HIPAA compliant and include audit trials. Requirements for access: REDCap is connected to the CAS System (Central Authentication System) to allow users to bypass multiple logins. All KU Medical Center faculty, staff and students can access REDCap using their username and password. Any questions related to KUMC usernames/passwords should be directed to the KU Medical Center Information Technology Help Desk at 913-945-9999. Shared KU Medical Center user accounts (e.g. ocriosupport@kumc.edu ) cannot be used to log into REDCap. REDCap Workflow coming soon C3OD Data used to determine patient eligibility for cancer clinical trials often come from disparate sources that are typically maintained by different groups within an institution, use differing technologies and are stored in different formats. Collecting data and resolving inconsistencies across sources to increase the time it takes to screen eligible patients, potentially delaying study completion. To address these challenges, the Biostatistics and Informatics Shared Resource at The University of Kansas Cancer Center developed the Curated Cancer Clinical Outcomes Database (C3OD). C3OD merges data from the electronic medical record, tumor registry, bio-specimen and data registry, and allows querying through a single unified platform. By centralizing access and maintaining appropriate controls, C3OD allows researchers to more rapidly obtain detailed information about each patient in order to accelerate eligibility screening. This case report describes the design of this informatics platform as well as initial assessments of its reliability and usability. Next Steps For instructions on how to use visit C3OD User Manual To view our workflow process see the attachment.
PCORNET PCORnet® is a PCORI-funded initiative to enable patient-centered clinical research to be conducted faster, more easily, and more efficiently. It does so by offering reusable resources and tapping into rich sources of real-world data, which are collected during routine care through electronic health records (EHRs), patient-reported outcomes, health claims, and other sources. By leveraging health information collected in everyday healthcare situations and settings, PCORnet generates real-world evidence about the comparative clinical effectiveness of therapies, diagnostics, and prevention strategies. PCORnet brings together researchers, patients, clinicians, and health systems to expedite research that can improve health care and patient outcomes. Patients and caregivers are engaged with health professionals and researchers as consultants and collaborators. Next Steps Complete the Request Details of this form to request assistance with PCORnet Greater Plains Collaborative (GPC) Greater Plains Collaborative (GPC) is a network of 13 leading medical centers in nine states committed to a shared vision of improving health care delivery through ongoing learning, adoption of evidence-based practices, and active research dissemination. The GPC builds on strong research programs at our sites, existing community engagement and informatics infrastructures and data warehouses developed through the NIH Clinical and Translational Science Award (CTSA) initiative at most of our sites, extensive expertise with commercial EHR systems and terminology standardization, and strong working relationships between investigators and healthcare system information technology departments. Our network brings together a diverse population of over 34 million patients across 1,550 miles covering nine states with a combined area of 758,325 square miles. Next Steps Submit the GPC Query and Data Request Form Interested in collaborating submit the GPC Research Opportunity Assessment Review the GPC Workflow here
Research Match Register with Research Match as a researcher for feasibility and recruitment access, this resource is a secure NIH sponsored volunteer registry that is available to all research team members. By registering as a researcher on ResearchMatch, researchers automatically obtain feasibility access and may view and search aggregate data within ResearchMatch. Researchers who go on to obtain IRB approval for recruitment access within ResearchMatch will be able to contact the many locally and nationally registered volunteers. Researchers should rely on the Institutional Liaison for help with writing the recruitment message that will be sent to ResearchMatch volunteers. Next Steps Click here to get started. Contact our Data Concierge to connect you with our liaison All of US The All of Us Research Program is inviting one million people across the U.S. to help build one of the most diverse health databases in history. We welcome participants from all backgrounds. Researchers will use the data to learn how our biology, lifestyle, and environment affect health. This may one day help them find ways to treat and prevent disease. Next Steps Click here to get started. Review the All of Us workflow
Our Practice Advisories Mychart Recruitment Reporting Workbench SlicerDicer Automated Pre-Screening for Cancer Clinical Trials Next Steps See the attachment for information about the EPIC O2 Process
Business Report from EPIC O2 Next Steps See the attachment for information about the EPIC O2 Process Quality Improvement for Research Not all requests for data are research related, therefore it is critical you have a solid understanding of what qualifies a project for Quality Improvement for Research or is it simply to improve processes within the hospital.
Next Steps Visit the IRB DECISION TREE Decision Tree video Determine whether regulations apply to a particular quality improvement activity, please complete the Quality Improvement Determination See the attachment for information about the EPIC O2 Process Data Analytics & Collaborations Which Research Informatics Resource are you interested in?
* must provide value
COSMOS To get access to Cosmos you will need EPIC O2 access first , if you don't have EPIC 02 access Once your form is submitted the Data Analytics team will reach out to you via email. Data Science Certification and Training Review the Cosmos Workflow below
Digital Research Platform Digital Research Platform (DRP) Designed by the Research Informatics Group. We make research more agile, efficient, collaborative, and secure, while helping us to provide higher quality data to researchers. Now it's easier to make scientific discoveries! Digital Research Platform (DRP) - is a virtual research platform where we can centralize enterprise research data in an environment that facilitates bringing analytics to data and that cuts down on the redundancy of enterprise data warehouses. It also allows us to provide industry standard data science tools to all our researchers, enables scaling of resources when needed, and allows for consistent security and governance. The DRP at KUMC is the collective name for our HIPAA-compliant, research cloud infrastructure, which includes a centralized research data lakehouse, built on Databricks, to enable big data handling with Apache Spark and robust performance with Delta Lake. High performance computing, including GPU clusters is available from Microsoft Azure and can be scaled on demand, and machine learning lifecycle management is available from MLFlow. Dedicated research data management staff are available to help ingest new data into the environment, who use a customized version of Data Basin to facilitate and speed complex data ingestion into the lakehouse. Analytics and model building can be performed in Databricks, in Azure, or in the user's on-prem environment.
To sign up please complete the request details
If you are interested in using the Learning Health Network please complete the Review the the Learning Health Network workflow below
GREEN HERON Frontiers Researchers are sponsored by a KU Medical Center faculty member. Next Steps Frontiers Affiliated Account Request (IR approves) A HERON team member will facilitate access to the Green HERON environment. See attachment for instructions on how to access Green Heron
SlicerDicer See the attachment for information about SlicerDicer (G.R.O.U.S.E) Greater Plains Collaboratice (G PC) R eusable O bservable U nified S tudy En vironment
Next Steps Ingenuity Pathways Analysis Ingenuity Pathways Analysis enables scientists (e.g., biologists, geneticists, bioinformaticians) to identify the most relevant biological mechanisms, pathways and functions to their experimental datasets or genes of interest. Organize Prioritize Trends to Inform KU Cancer Patients (OPTIK) An increasingly diversified demographic landscape in rural and urban America warrants the attention of The University of Kansas Cancer Center (KU Cancer Center) researchers, clinicians, outreach staff and administrators as the institution assesses ways to reach its expansive, bi-state catchment area. Within the counties of the KU Cancer Center catchment area, patient level and public health data are available and categorized by varying geographic regional boundaries. Multiple data sources and different data collection processes complicate summarizing catchment area data. A curated data warehouse that retrieves and structures the data, with a common denominator, can support meaningful use of the data in a standard and consistent format. The KU Cancer Center built a data warehouse to Organize and Prioritize Trends to Inform KU Cancer Center (OPTIK), which functions to streamline the process of synthesizing data regarding Kansas and Missouri demographics, cancer risk factors and incidence and mortality rates. OPTIK standardizes these diverse data sources to enable analyses of the cancer burden at local, regional and national levels while upholding a strict standard of patient privacy. The OPTIK database enables researchers to use available data and create heat maps and other visualizations to aid in funding proposals, presentations and research activities. Furthermore, using knowledge provided by OPTIK, the KU Cancer Center is able to prioritize action items for research and outreach and more effectively communicate the impact of those efforts. Reference: https://academic.oup.com/database/article/doi/10.1093/database/baaa054/5876850
View the application here OPTIK app
Accrual Monitoring App The Accrual Prediction Program provides accrual information, including the predicted completion date, predicted number of accrued subjects during the pre-specified accrual period, and the probability of achieving accrual targets for all KU Cancer Center clinical trials. View application, here . Clinical Trial Sample Size Tool Offered through the Department of Biostatistics & Data Science, the clinical trial sample size tool helps predict the time it will take to reach your study's desired sample size. Click here to use the Clinical trial sample size tool
National COVID Cohort Collaborative (N3C) The N3C is a partnership among the NCATS-supported Clinical Translational Science Awards (CTSA) Program hubs, the National Center for Data to Health (CD2H), and NIGMS-supported Institutional Development Award Networks for Clinical and Translational Research (IDeA-CTR), with overall stewardship by NCATS. As a partner, KU Medical Center is contributing COVID-19 clinical data to the N3C data enclave. KU Medical Center researchers can request access to the N3C data enclave to conduct studies for answering critical COVID-19 related research questions. Click here to visit
Consortium for Clinical Characterization of COVID-19 by EHR The 4CE is an international consortium for EHR data-driven studies of the COVID-19 pandemic. The goal of this effort is to inform doctors, epidemiologists, and the public about COVID-19 patients with data acquired through the health care process. 4CE is using a distributing learning framework where researchers post their queries through the coordinating center for participating sites to run the queries locally without raw EHR data leaving their institutions. Click here to visit Consultations Consultations can help researchers best use informatics tools such as HERON, REDCap or EPIC O2, C3OD and the Biostatistics and Informatics Shared Resource
Scheduling Consultations are available by appointment to begin discussions, please contact ocriosupport@kumc.edu
Cost Consultations are offered free up to one hour for Informatics from HERON, REDcap or EPIC O2 team,
Custom Project Design Which Research Informatics resources are you interested in?
Research Informatics Group here at The University of Kansas Medical Center and Health system will work with you to scope a custom data management application to precisely fit your needs. The scope and functionality of these custom solutions varies from project to project. Our staff of Software Engineers & Developers, Data Scientist, Data Analysts and our Data Concierge all have the expertise to assist you with custom research data capture systems and any informatics environment needed for your research.
Click here to request a custom project design
* must provide value
Free Self Service We offer free self-service tools Funded Custom Fee for Service We offer an hourly fee-for-service for all informatics services. We will provide you with pricing information when responding to your inquiry. For custom project designs, the informaticians and investigators will discuss the complexity of the project and set a fixed time/cost on certain open-ended questions or underspecified requirements. We place a high value on transparency and attempt to provide accurate effort forecasting and use a software project management system for defining milestones, tasks, and time-tracking. Research Collaboration Our personnel are included as co-investigators on your grant applications. Staff time spent on a grant should be representative of the actual effort required to meet deliverables Click here to request Funded Custom Data Extraction
Biostatistics and Informatics Shared Resource
Training & Education Which Research Informatics resource are you interested in?
* must provide value
Visit our Sharepoint for
HERON and REDCap
HERON Data Analysis using SQLite
For Project Assistance
EPIC O2 Training & Access Visit our Resource page for Documents
EPIC O2 ACCESS EPIC O2 TRAINING Complete the request form using the instructions provided, remembering to change the "Request for" field to your employee's name. Once submitted, the request will be reviewed as appropriate, and you will be notified within 48 hours of required O2 training instructions or asked to provide additional information. In order to attend a class, you must enroll through this process. After enrolling you will receive a confirmation e-mail from Remedy on Demand with the location of the class.
Our Data Concierge can assist you with the Data Management Sharing Plans, we also have resources to get you started, please visit our If you are interested in attending the Frontier Informatics Research and Innovation Seminar If you are interested in attending the Frontier Informatics Workforce Heterogeneity or giving a presentation please complete this
KU Scholar Works (KUSW) Electronic Lab Notebook Learn more here
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