Informatics Research Seminar: TRANSFORM-HF Study

Speaker: Eric Eisenstein, DBA
Presented from Duke

Broadcast Link: Seminar

At Duke, all seminars live or broadcast will be held in Hock Auditorium from 4-5 pm.

Abstract:

Coming Soon

Biosketch:

Coming Soon

Informatics Research Seminar: Clinical Data Quality for Secondary Use in the Learning Healthcare System

Speaker: Franck Diaz, PhD
Presented from UNC-C

Broadcast Link: Seminar

At Duke, all seminars live or broadcast will be held in Hock Auditorium from 4-5 pm.

Abstract:

Electronic Health Record data is a fundamental to the development of learning healthcare systems, yet they present severe limitations for their reliable secondary analysis. Though clinical data often presents a high enough quality level for patient care and billing, their quality is often questioned for research applications. For example, clinical data are often found to contain inaccurate values, incomplete records, inaccessible information within clinical notes or just be recorded at an unusable level of granularity for specific analyses (e.g., yearly glucose level readings for research questions involving investigating daily changes). This seminar will describe some of these data quality limitations, introduce DataGauge: a practical process for systematically designing and implementing quality assessments of re-purposed clinical data, present data showing the impact of clinical workflows on the quality of clinical data sets and discuss the heterogeneity of such workflows that complicates the secondary use of clinical data.

Biosketch:

Franck Diaz, PhD is an Assistant Professor of Health Analytics and Informatics at the Department of Public Health Science in the College of Health and Human Sciences at University of North Carolina at Charlotte (UNCC). He joined UNCC in August of 2019 after completing a K-12 PRIME fellowship program for the National Institute for General Medical Science at Wake Forest School of Medicine and being part of WakeHealth’s Clinical and Translational Science Institute. His research focuses on developing methods for the reliable reuse of clinical data and carrying out secondary analyses to uncover modes of failure in clinical data sets. Dr. Diaz holds a PhD in Health Informatics from the University of Texas Health Science Center at Houston’s School of Biomedical informatics. He also holds a specialized Biomedical Engineering degree from Polytech’Marseille in France.

Informatics Research Seminar: Data Challenges with Real-Time Safety Event Detection & Clinical Decision Support

Speaker: Eric Kirkendall, MD
Presented from Wake Forest

Broadcast Link: Seminar

At Duke, all seminars live or broadcast will be held in Hock Auditorium from 4-5 pm.

Abstract:

The Decision Support Analytics Workgroup (DSAW) at Cinncinati Children’s Hospital Medical Center (CCHMC) was founded by Dr. Eric Kirkendall. The collaborative continues to investigate the links between the effectiveness of clinical decision support (CDS), patient safety, and user efficiency. Many of the research projects have also incorporated artificial intelligence techniques (e.g., natural language processing) and other innovative methods to detect adverse events/harm across multiple hospital environments. The results have shown vast improvements in detecting and mitigating errors compared to traditional methods. This seminar will focus on how Decision Support Analytics and Healthcare Innovation are utilized to solve problems such as data challenges and real-time safety event detection when being used as part of clinical decision support.

Biosketch:

Dr. Eric Kirkendall is a pediatrician that uses health information technology to maximize patient safety and quality in clinical care delivery, data management, and novel application/software development. He is the former Associate Chief Medical Information Officer in Cincinnati Children’s, overseeing the design, implementation, and optimization of the electronic health record and other associated technologies. Dr. Kirkendall was recruited to Wake Forest Baptist Health, to help lead NNGN™ (“engine”) – the Wake Forest Center for Healthcare Innovation. In that role Eric utilizes informatics tools and technologies to accomplish NNGN’s mission of rapidly translating innovation and discoveries into our clinical enterprise, promoting increased care quality, safety, and cost-effectiveness.

 

Informatics Research Seminar: From the Bedside to Home- Applying Informatics Methods to Improve Health Outcomes

Speaker: Saif Khairat, PhD, FAMIA
Presented from UNC-CH

WebEx Link: Join (up to 5 minutes before 4)

Meeting number (access code): 733 505 426

Meeting Password: DUH8K3jz

Join by phone: 1-650-479-3207 Call-in toll number (US/Canada)

Join from a video system or application

Dial 733505426@dukemed.webex.com

You can also dial 173 243 2 68 and enter your meeting number

Need help?  Go to http://help.webex.com

Abstract:

Major healthcare challenges include information overload and accessibility to adequate care. In the EHR era, we face large, complex data that demand time-sensitive decisions by providers. The challenge of finding information in the EHR results in poor patient outcomes, provider dissatisfaction, and increased healthcare-related costs. By improving EHR interface designs, providers can navigate the EHR more efficiently and effectively. On the other hand, the growing demands for healthcare combined with shortage in providers create a difficulty in providing care, especially for patients in rural areas. Telemedicine, the interaction between providers and patients remotely through information technologies, provides a promising solution to improve access. This talk discusses the impact of innovative informatics methods to improve Provider-EHR relationship, and to improve health equity and bridge health disparities.

Biosketch:

With over a decade of experiences, Dr. Saif Khairat, PhD, FAMIA has lead national and international projects to enhance healthcare services and research, specifically within the informatics world. His research agenda comprises two main areas: (1) health IT usability and visualization, (2) telemedicine in health services research. He is site PI of the NIH funded project titled “Overcoming the Barriers to Clinical Trial Recruitment through Teleconsent”. Dr. Khairat was Co-Principal Investigator of the Great Plains Telehealth Resource and Assistance Center, funded by Health Resources and Services Administration (HRSA), a three-year federally funded center that is responsible for increasing Telehealth awareness and providing consultation to healthcare providers and vendors in six states.

Informatics Research Seminar: Applications of Predictive Computer Modeling and Data Analytics in Precision Medicine

Speaker: Ali Vahdati, PhD
Presented from ECU

WebEx Link: Join (up to 5 minutes before 4)

Meeting number (access code): 733 505 426

Meeting Password: DUH8K3jz

Join by phone: 1-650-479-3207 Call-in toll number (US/Canada)

Join from a video system or application

Dial 733505426@dukemed.webex.com

You can also dial 173 243 2 68 and enter your meeting number

Need help?  Go to http://help.webex.com

Abstract:

Organs, tissues and cells of the human body experience multi-directional and complex mechanical loads in their natural environment. Consequently, mechanical forces play an important role in pathogenesis of many connective tissue diseases and in the outcome of various surgeries. This talk will cover how
computational modeling and experimental techniques can be utilized to better understand the interaction of both native tissue and implants with their mechanical environment. Furthermore, examples will be presented from past and present research dealing with predictive modeling of connective tissue pathologies and surgical outcomes with the overarching goal of making various surgical techniques safer and more effective.

Biosketch:

Dr. Vahdati is an Assistant Professor in the Department of Engineering atEast Carolina University. His research is focused in the areas of multi-physics computational modeling and multi-scale biomechanical testing of natural and synthetic biomaterials for applications in precision medicine. He utilizes computer
modeling (virtual experiments) and experimental techniques to study the interaction of implants with native tissue, to predict the outcome of subject-specific surgical techniques and to prevent and diagnose mechanically-induced pathologies of soft and calcified tissues. Dr. Vahdati joined ECU after working for a Fortune 500 medical device company and the Cleveland Clinic, Ohio.