The institute collaborates with other organizations on several projects described below.
The Center For Sudep Research (CSR), Informatics And Data Analytics Core (IDAC)
NIH 7U01NS090408-03; PI: GQ Zhang
The NIH funded Center for SUDEP Research leads a team of researchers from 14 institutions in the US and Europe to find the causes and mechanisms of Sudden Unexpected Death in Epilepsy Patients (SUDEP). The Institute leads the Informatics and Data Analytics Core (IDAC) element of this project.
Co-Investigators: Licong Cui, Radhakrishnan Nagarajan
National Sleep Research Resource (NSRR)
NIH 5R24HL114473-03; PIs: Susan S Redline, GQ Zhang
The NIH funds the National Sleep Research Resource to provide open access to large-scale integrated and deidentified cohort study datasets and analytic tools related to sleeping. This data includes physiologic signals from overnight sleep studies.
From Syntactic Relations to Semantic Predications: Porting Open Information Extraction to Biomedicine
NIH 1R21LM012274-01; PI: Ramakanth Kavuluru
This NIH funded effort seeks to improve National Library of Medicine's SemRep system to extract information from biomedical texts including electronic health records. Semantic predications are binary relations extracted from biomedical text by the SemRep program and connect biomedical entities with a ﬁxed set of relation types. Although SemRep extractions have reasonable precision, their recall is very low. We propose to build a supervised predication extraction framework whose results will complement SemRep's extractions in terms of improved performance in both direct gold standard evaluation and application oriented evaluation in the context of information retrieval and literature based discovery.
Information Extraction from Diagnostic Narratives to Improve Patient Recruitment Efforts for Lung Cancer Clinical Trials
PO2 415 1400004000 1; PI: Ramakanth Kavuluru
This Kentucky Lung Cancer Research Fund project focuses on automatic extraction of positive lung cancer diagnoses and the associated details of disease progression and observed metastases from radiological reports. It will develop a prototype that uses this data and data from other sources to rank potential eligible cases for clinical trials.
Toward Personalized Pressure Ulcer Care Planning: Development of a Bioinformatics System for Individualized Prioritization of Clinical Practice Guideline
DOD BOGIE-UK-DOD002; PI: GQ Zhang
This DOD funded project identifies and validates best practices to prevent pressure ulcers (PU) and deep tissue injuries (DTI). It will develop resources to help clinicians develop personalized PU/DTI care plans.
Oncology Nurse Impact: Improving Communication With Patients About Clinical Trials
NIH funds IMPACT - Improving Communication with Patients About Clinical Trials to provide a web-based system to teach oncology nurses about clinical trials which are necessary to develop new ways to prevent and treat cancer; however, very few cancer patients take part in these research studies. Oncology nurses play an important role in patient education and help patients to make informed treatment decisions. This program uses a web-based application (Oncology Nurse Impact) to deliver video information about clinical trials to oncology nurses to help them become more comfortable discussing clinical trials as an option with their patients.
Trial Prospector: An Automated Clinical Trial Matching Program
PI: GQ Zhang
Trial Prospector provides physicians with a web interface to help them match patients to available cancer treatment clinical trials. It uses AI techniques to match patients with clinical trial eligibility requirements using patient's data from multiple sources. This project expands the prototype and tailors it to lung cancers.
The Institute collaborates with several University of Kentucky organizations to further the common goal of improving patient outcomes and healthcare quality and reducing costs.
The Institute partners with the Center for Clinical and Translational Science (CCTS) to provide hardware, software and data support for biomedical informatics applications including improving the web interface to some applications.
The Institute provides web application support for efforts in conjunction with the Center for Health Services Research to improve patient outcomes and healthcare quality measures.
The Institute is using its expertise with the Trial Prospector project to improve patient recruitment for clinical trials at the Markey Cancer Center's Cancer Research Informatics Shared Resource Facility.