Biomedical Informatics at UConn & UCHC

1. Biomedical Informatics at UConn & UCHC Prof. Steven A. Demurjian Professor, Director of Graduate Studies Co-Director for Research, Biomedical Informatics Division Computer Science & Engineering Department The University of Connecticut 371 Fairfield Road, Box U-255 Storrs, CT 06269-2155 steve@engr.uconn.edu http://www.engr.uconn.edu/~steve (860) 486 - 4818

2. Biomedical Informatics • Created as a Entity Across both Campuses to Promote Research Related to: • Medical and Clinical Informatics • Bio and Genome Informatics • Support of Application to NIH’s Clinical and Translational Science Award Program • Composed of: • Faculty and Staff Across both Campuses • New Faculty Hires: 3 in CS&E, 3 at UCHC • Infrastructure Includes: • HIT Test Bed with EMRs (Vista and Centricity) • Harvard Profiles Research Software Installation • Support for CICATS (http://cicats.uchc.edu/)

3. Biomedical Informatics Faculty • UConn Storrs • Steven Demurjian, PhD, Prof. of CS&E & BMI co-Director • S. Rajasekaran, PhD., Prof. and UTC Chair, CS&E • Jinbo Bi, PhD: Assoc. Prof. of CS&E • Maifi Khan, PhD : Asst. Prof. of CS&E • Nasos Bamis, PhD : Asst. Prof. of CS&E • UCHC • Thomas Agresta, MD: Prof. of Family Medicine and BMI co-Director • Michael Blechner, MD, Assoc. Prof. of Pathology • Xiaoyan Wang, PhD, Asst. Prof. of Family Medicine • Minakshi Tikoo, PhD, Asst. Prof. of Comm. Medicine

4. S. Demurjian BMI Research Interests • Collaborative Extensions to NIST RBAC • Model When and How Interactions Occur • Support PCMH and Collaborative Care • Security for XML • Medical Standards (HL7 CDA, CCR, etc.) • Customize XML Instances Delivered to Users • Health Information Exchange • Architectural Solutions for Interoperability • NIST Prop. on Secure and Privacy Enhanced Identification • Medication Management & Reconciliation • Android/IOS Apps Linked to MS Health Vault • Reconciliation via Harvard’s Smart Platform • Working with openMhealth.org

5. S. Rajasekaran BMI Research Interests Data Integration from Multiple Datasets Integration of data from multiple datasets is vital in many areas of BMI. For example, there could be multiple records for the same individual with many providers. Integrating these could result in great cost savings. Prior algorithms can handle only two datasets at a time. We have developed an efficient algorithm that can integrate data from any number of sources. Responsible Data Releases Data releases to the public should ensure the privacy of individuals. Several privacy mechanisms, such as anonymization, have been proposed in the literature. Synthetic datasets are an example. We have introduced a natural notion of privacy and employed it in the analysis of synthetic datasets.

6. J. Bi BMI Research Efforts • Phenotypicalsubtyping of complex disease for association studies • Intelligent online counseling systems to monitor and regulate problematic human behaviors (eg. college drinking) • Clinical decision support systems • Asthma – Computerizing previously paper-based asthma management program (http://www.labhealthinfo.uconn.edu/EasyBreathing) • Perinatal care – nursing informatics platform ( http://www.labhealthinfo.uconn.edu/NursingInformaticsPlatform) More accurate diagnosis standard Diagnosis Disease phenotypicalsubtyping Treatment Personalized treatment subtyping association OUR SYSTEM Survey Problematic behavior

7. M. Khan BMI Research Interests Real-time Monitoring and Preventative Healthcare Real-time Access of Patients’ Sensor Data Cloud-based Storage Architecture Identification of “Early” Symptoms Reliability and Troubleshooting of Edge Clients Troubleshooting Low-power Sensor Devices Real-time Failure Diagnosis Software Architecture for Self-powered Devices Fail-safe Energy Management Algorithms Energy Harvesting Algorithms

8. A. Bamis BMI Research Interests Assisted Living and Smart Environments Human sensing Asset tracking and environmental condition monitoring using active RFID and Zigbee sensors High-level languages and user interfaces for event detection, and data-driven actuation Modeling Human Biological Rhythms Modeling and detection of deviations in human biological rhythms Android platform for physiological data collection from wearable Bluetooth sensors Human Activity Recognition Rule-based human activity detection Unsupervised detection of deviations and anomalies in human behavior

9. Thomas Agresta, MD, MBI - Research Interests Optimal HIT Solutions for Primary Care Clinical Decision Support, Patient engagement, medication reconciliation. Health Information Exchange for Care Transitions Organizational structures for supporting Primary Care Informatics Clinical Informatics Education Informatics Educational Methods and Strategies Use of Simulation in Primary Care Education Virtual patients, families & EMR use in clinical care High- Tech, High-Touch Primary Care Informatics Tools for Collaboration in Clinical Research Informatics Secondary Use of Healthcare data for analysis and research 9 9

10. M. Blechner BMI Research Interests Health Information Exchange “Leveraging An HIE Infrastructure To Build A Clinical Research Data Warehouse” CICATS pilot grant for system development to capture clinical data from a Health Information Exchange (HIE) into a research data warehouse. Intelligent Tutoring System Development Collaborative e-learning environment leveraging natural language processing and medical ontologies (UMLS) to facilitate concept relationship discovery Clinical Pathology Data warehousing for business and clinical intelligence in the clinical laboratory 10 10

11. X. Wang BMI Research Interests Patient Safety Medication safety Monitoring adverse drug events from electronic health records(EHRs) Fall predication i.e. identifying predicators for falls among seniors Quality control Evaluating new and existing therapies in clinical settings i.e.  Cost-effective analysis of hepatic resection among patients with colorectal liver metastasis Knowledge discovery using EHRs Drug repurposing Diabetes medications (i.e. Metformin) for cancer prevention and therapy

12. M. Tikoo BMI Research Interests Evaluation HIE Evaluation studies EHR Implementation studies Surveys research Qualitative research Performance Metrics and Quality improvement Developing middleware to calculate and display performance measures Use of analytics to assist in the implementation of quality improvement programs Newly Appointed Position at Dept. Public Health Health Information Technology (HIT) Coordinator for Health Information Exchange (HIE) agreement between the Dept. of Public Health and the Office of the National Coordinator