Informatics Research Seminar: Development of Hypertrophic Cardiomyopathy (HCM) Care Application

Speaker: Andrew Wang, MD
Presented from Duke University

Broadcast Link: Seminar

The Informatics Research Seminar Series is sponsored by Duke University and a collaboration with UNC-Chapel Hill, NCCU, UNC-Charlotte, and ECU. This series explores key areas in Health Informatics and include research results, overview of programs of research, basic, applied, and evaluative projects, as well as research from varied epistemological stances.

Informatics Research Seminar: Advanced Analytics Adoption at UNC Health Care System — A Case Study

Speaker: Polly Mitchell-Guthrie, MBA
Presented from UNC-CH

Broadcast Link: Seminar

The Informatics Research Seminar Series is sponsored by Duke University and a collaboration with UNC-Chapel Hill, NCCU, UNC-Charlotte, and ECU. This series explores key areas in Health Informatics and include research results, overview of programs of research, basic, applied, and evaluative projects, as well as research from varied epistemological stances.

Informatics Research Seminar: Weighing the Odds — Problem List Omissions and Patient Portal Utility among Obese Patients

Speaker: Juhee Kim, ScD & Akshat Kapoor, PhD
Presented from ECU

Broadcast Link: Seminar

The Informatics Research Seminar Series is sponsored by Duke University and a collaboration with UNC-Chapel Hill, NCCU, UNC-Charlotte, and ECU. This series explores key areas in Health Informatics and include research results, overview of programs of research, basic, applied, and evaluative projects, as well as research from varied epistemological stances.

Informatics Research Seminar: Using EMR Data for Clinical Research– Experience and Practical Implications

Speaker: Alexander Turchin, MD, MS
Presented from Duke University

Broadcast Link: Seminar

The Informatics Research Seminar Series is sponsored by Duke University and a collaboration with UNC-Chapel Hill, NCCU, UNC-Charlotte, and ECU. This series explores key areas in Health Informatics and include research results, overview of programs of research, basic, applied, and evaluative projects, as well as research from varied epistemological stances.

Informatics Research Seminar: Evidence Based Data Study on Weight Loss Programs

 

Speaker: Nia S. Mitchell, MD, MPH
Presented from NCCU

Broadcast Link: Seminar

The Informatics Research Seminar Series is sponsored by Duke University and a collaboration with UNC-Chapel Hill, NCCU, UNC-Charlotte, and ECU. This series explores key areas in Health Informatics and include research results, overview of programs of research, basic, applied, and evaluative projects, as well as research from varied epistemological stances.

Informatics Research Seminar: Statin Study from NHANES

Speaker: Michael Pencina, PhD
Presented from Duke University

Broadcast Link: Seminar

The Informatics Research Seminar Series is sponsored by Duke University and a collaboration with UNC-Chapel Hill, NCCU, UNC-Charlotte, and ECU. This series explores key areas in Health Informatics and include research results, overview of programs of research, basic, applied, and evaluative projects, as well as research from varied epistemological stances.

Informatics Research Seminar: Data Collection: Precision Medicine and Learning Health Systems

Speaker: Stephanie Bryant, MS
Presented from NCCU

Broadcast Link: Seminar

The Informatics Research Seminar Series is sponsored by Duke University and a collaboration with UNC-Chapel Hill, NCCU, UNC-Charlotte, and ECU. This series explores key areas in Health Informatics and include research results, overview of programs of research, basic, applied, and evaluative projects, as well as research from varied epistemological stances.

Abstract:
The presentation on “Data Collection: Precision Medicine and Learning Health Systems”  will describe how data networks store, display and transmit health related information in various forms encompassing paper, digital communication systems, and mobile computing systems. Large scale data collection efforts acquire health related data from multiple sources via health data networks and systems. Issues and challenges of large scale data collection efforts in gathering high quality health data will be discussed. Technologies that address some of the challenges of large scale health data collection systems will be introduced.

Precision medicine and learning health systems are current initiatives in large scale health data collection. These initiatives extend the concepts of health data networks to include complex analysis and dissemination of multisource health related information. The aims and challenges of these initiatives will be discussed. The presenter will share aspects of her doctoral research focusing on technologies and progress toward a nationwide learning health system.

Biosketch:
Stephanie Bryant, MS,  is currently a doctoral candidate at Indiana State University in the Technology Management program, specializing in Digital Communication Systems. Her background includes Bachelor and Master of Science degrees in Computer Engineering, consisting of topics in Computer Science and Electrical Engineering. Ms. Bryant has more than 20 years of experience researching and developing integrated software solutions that may contain hardware components for research and production environments. Her qualification and skills encompass technology research, software system development, and technical management. Ms. Bryant has authorship in more than 15 journal articles, presentations, and technical reports. Her doctoral research focuses on exploring technology trends and progress in realizing a nationwide Learning Health System (LHS), a large scale system of systems for collecting, analyzing, and sharing knowledge and insights derived from health related information.

Informatics Research Seminar: Medication Reconciliation– Two Halves of the Story

Speaker: David Michael, MD
Presented from ECU

Broadcast Link: Seminar

The Informatics Research Seminar Series is sponsored by Duke University and a collaboration with UNC-Chapel Hill, NCCU, UNC-Charlotte, and ECU. This series explores key areas in Health Informatics and include research results, overview of programs of research, basic, applied, and evaluative projects, as well as research from varied epistemological stances.

Abstract: 
Medication reconciliation is defined by the Institute for Health as the process of creating the most accurate list possible of a patient’s medications.  Even though this sounds simple, up to 67% of patients admitted to the hospital have unintended medication discrepancies.  These discrepancies often persist at discharge and can lead to patient harm.   Medication reconciliation is too often used to describe both halves, the medication history and the clinical decisions of what medications the patient should take.   Upon analysis, we discovered disparate processes for each from hospital to hospital.  Standardization of the process with ongoing feedback through clinical decision support through our EHR has led to significant improvements, decreasing the number of patients at risk by as much as 80% on some services.   What we learned and what strategies we’re putting into place will be discussed.

Biosketch:
David Michael, MD is a general internist with over 20 years as a primary care physician.  As a primary care physician, he became interested in informatics when using a predictive analytics tool to change behavior and modifiable risk.  Dr. Michael became the first Chief Medical Informatics Officer at Vidant Health in 2011 and board certified in the new specialty of Clinical Informatics in 2014.  The new Vidant Health Clinical Informatics Team has continued to grow under his leadership.  The team continues to impact the optimization and usability of the Epic EHR, Population Health initiatives and analytics. Dr. Michael completed medical school at The Ohio State University and his residency in internal medicine at The Brody School of Medicine at ECU.  He is board certified in internal medicine and clinical informatics.  He is a member of ACP, AMIA, AAPL, and AMDIS.  He serves on the national physician committee for HIMSS.

Informatics Research Seminar: Reduction of Re-Admissions to Hospitals Based on Actionable Knowledge Discovery and Personalization

Speaker: Zbigniew W. Ras, PhD, DSc
Presented from UNC-C

Broadcast Link: Seminar

The Informatics Research Seminar Series is sponsored by Duke University and a collaboration with UNC-Chapel Hill, NCCU, UNC-Charlotte, and ECU. This series explores key areas in Health Informatics and include research results, overview of programs of research, basic, applied, and evaluative projects, as well as research from varied epistemological stances.

Abstract:
The concept of procedure paths as a sequence of procedures that a given patient undertakes to reach a desired treatment will be introduced. By clustering patients into subgroups that exhibit similar properties, the predictability of their procedure paths is improved, which is evaluated by calculating the entropy to measure the level of predictability of following procedures. The clustering approach is used essentially as a way to personalize patients according to their properties. The results presented are based on Florida HCUP datasets.

Biosketch:
Zbigniew Ras, PhD, DSc is a professor of computer science at the University of North Carolina, Charlotte. He holds a professorship position in the Institute of Computer Science at Warsaw University of Technology as well as at the Polish-Japanese Academy of Information Technology, both in Poland. His PhD degree is from University of Warsaw and his DSc Degree from the Polish Academy of Sciences. In 2012, he was awarded a National Professorship Title by the President of Poland. Dr. Ras’ areas of specialization includes Knowledge Discovery and Data Mining, Recommender Systems, Music Information Retrieval, Flexible Query Answering, and Health Informatics. He is Editor-in-Chief of the Journal of Intelligent Information Systems (Springer), Editor-in Chief of the International Journal of Social Network Mining (IJSNM), and he served as the Deputy Editor-in-Chief of Fundamenta Informaticae Journal (IOS Press), till 2010. He is the author of more than 350 publications and the editor of more than 45 books published by Springer and North Holland. He has received many awards including the Harshini V. de Silva Graduate Mentor Award, UNC-Charlotte, 2009; Finalist for the Bank of America Award for Teaching Excellence, UNC-Charlotte, 2008; the COIT Graduate Faculty Excellence in Teaching Award, UNC-Charlotte, 2003; and the Alcoa Foundation Outstanding Faculty Award, UNC Charlotte, 1999-2000. He received competitive grants and contracts from NSF, DOD/ARO, SAS, ONR, ORNL, DOE, IBM, Committee for Scientific Research (Poland), and AMVIS (Czech Republic).

For a complete seminar schedule, visit the DCHI website:

http://dukeinformatics.org/education/informatics-seminars/

 

CEU Credit:

In support of improving patient care, the Duke University Health System Department of Clinical Education and Professional Development is accredited by the American Nurses Credentialing Center (ANCC), the Accreditation Council for Pharmacy Education (ACPE), and the Accreditation Council for Continuing Medical Education (ACCME), to provide continuing education for the health care team.

Duke University Health System Department of Clinical Education and Professional Development designates this live activity for 1 Credit.

Locations:          

Duke:  Hock Auditorium – Hock Plaza 2424 Erwin Road, Durham, NC 27705
UNC-Chapel Hill:  Health Science Library, Room 227
NCCU-Durham:  Room 364, James E. Shepard Memorial Library
UNC-Charlotte:  Fretwell 126
ECU-Greenville:  Health Sciences Building, Room 1355

Parking at Duke:

A printed, bar coded parking pass is required for entry to and exit from the garage. Parking passes must be requested at least 48 hours in advance of the seminar.  Email healthinformatics@duke.edu  to request a parking pass. The pass will be emailed to you in PDF format and must be printed for scanning at the gate. The system will not scan bar codes from smartphones.

After parking, proceed to the 4th Floor of the parking garage and exit across the driveway to enter the building lobby.  Sign in at the desk; take the elevator down to the ground floor to Hock Auditorium.  (Exit left off the elevator and walk down the hall, the auditorium will be on your right.)

Questions: healthinformatics@duke.edu

Interested in keeping up with timely news from Duke Center for Health Informatics?

Visit our website often!

Informatics Research Seminar: Machine Learning: For Robust and Redefined Data-Driven Decision Making

Speaker: Michael Kosorok, PhD
Presented from UNC-CH

Broadcast Link: Seminar

The Informatics Research Seminar Series is sponsored by Duke University and a collaboration with UNC-Chapel Hill, NCCU, UNC-Charlotte, and ECU. This series explores key areas in Health Informatics and include research results, overview of programs of research, basic, applied, and evaluative projects, as well as research from varied epistemological stances.

 Abstract: 
An overview of how data science and big data have become relevant to biomedical research will be presented, including the roles of machine learning and statistics in data-driven decision making and precision medicine and the potential pitfalls of “big data hubris.” Several ongoing projects using machine learning for precision medicine will be described, including work on patient-derived xenograft mouse models for cancer, type 1 diabetes, and alcohol dependency. Sequential multiple assignment randomized trials (SMARTs) for precision medicine research will also be introduced.

Biosketch:,
Michael R. Kosorok, PhD, MS is the W.R. Kenan, Jr. Distinguished Professor and Chair of Biostatistics, Professor of Statistics and Operations Research, and Member of the Lineberger Comprehensive Cancer Center at the University of North Carolina at Chapel Hill. His research interests are in biostatistics, data science, machine learning, and precision medicine. He has authored over 130 peer-reviewed journal publications and two books, one on the theoretical foundations of biostatistics (Introduction to Empirical Processes and Semiparametric Inference, 2008, Springer) and one, co-authored with Erica E.M. Moodie, on current data science methods in precision medicine (Adaptive Treatment Strategies in Practice: Planning Trials and Analyzing Data for Personalized Medicine, 2016, ASA-SIAM). He is an honorary fellow of the American Statistical Association, the Institute of Mathematical Statistics, and the American Association for the Advancement of Science.

For a complete seminar schedule, visit the DCHI website:

http://dukeinformatics.org/education/informatics-seminars/

 

CEU Credit:

In support of improving patient care, the Duke University Health System Department of Clinical Education and Professional Development is accredited by the American Nurses Credentialing Center (ANCC), the Accreditation Council for Pharmacy Education (ACPE), and the Accreditation Council for Continuing Medical Education (ACCME), to provide continuing education for the health care team.

Duke University Health System Department of Clinical Education and Professional Development designates this live activity for 1 Credit.

Locations:          

Duke:  Hock Auditorium – Hock Plaza 2424 Erwin Road, Durham, NC 27705
UNC-Chapel Hill:  Health Science Library, Room 227
NCCU-Durham:  Room 364, James E. Shepard Memorial Library
UNC-Charlotte:  Fretwell 126
ECU-Greenville:  Health Sciences Building, Room 1355

Parking at Duke:

A printed, bar coded parking pass is required for entry to and exit from the garage. Parking passes must be requested at least 48 hours in advance of the seminar.  Email healthinformatics@duke.edu  to request a parking pass. The pass will be emailed to you in PDF format and must be printed for scanning at the gate. The system will not scan bar codes from smartphones.

After parking, proceed to the 4th Floor of the parking garage and exit across the driveway to enter the building lobby.  Sign in at the desk; take the elevator down to the ground floor to Hock Auditorium.  (Exit left off the elevator and walk down the hall, the auditorium will be on your right.)

Questions: healthinformatics@duke.edu

 

Interested in keeping up with timely news from Duke Center for Health Informatics?

Visit our website often!