SESSION 243: <br/>Information and knowledge management
Track 4
| Sunday, July 9, 2023 |
| 1:15 PM - 2:45 PM |
| C4.4 |
Overview
C4.4
Panels
Panels
Details
This session contains two 40 minute panels.
Panel: Learning from experts on the evolution of decision support systems: A career progression panelThe development and evaluation of decision support systems is an area of increasing importance for researchers in nursing informatics. In this panel, we invite individuals with a range of expertise to discuss their perspectives, experiences and advice on developing research focusing on decision support systems and career opportunities for students and emerging professionals.
Panel: The potential for and limitations of computable phenotypes in chronic disease
Electronic health records (EHRs), particularly those with computerized clinical decision support (CDS) that delivers evidence-based recommendations at the point of care, have been shown to improve quality of care and clinical out-comes.1 A computable phenotype is a clinical condition, characteristic, or set of clinical features that can be determined solely from data in EHRs and does not require chart review by a clinician.2 Computable phenotypes are disease definitions or algorithms that allow curation of disease populations using EHR data.3,4 Computable phenotypes are increasingly used as preliminary data to determine feasibility of clinical trial enrollment.5 Computable phenotypes have been employed in the development of clinical decision sup-port (CDS). However, local validation and subsequent modification limit generalizability and add cost. Computable phenotypes have the potential to allow for interoperable reusable CDS, but there are significant limitations of the current state that must be overcome.
Speaker
Tricia Liebke
General Manager Clinical Engagement
Telstra Health
Session chair
Biography
A driven and energetic Registered nurse with a comprehensive background in clinical leadership, I have a desire to lead transformational change throughout healthcare by ensuring a seamless integration of technology and high clinical adoption that will improve patient safety, quality of care and business efficiencies. I have a well established reputation for achieving goals by engaging staff, being an influential leader, understanding legal requirements and standards, maintaining a solution focussed attitude and delivering high quality results.
Hanna von Gerich
Doctoral Researcher
University of Turku
Panel: Learning from experts on the evolution of decision support systems: A career progression panel
1:15 PM - 1:55 PMBiography
Hanna von Gerich, MNSc, RN, PHN, is a doctoral researcher in the Department of Nursing Science in University of Turku and a project researcher for Turku University Hospital in Finland. She is the current chair of the Nursing Informatics Working Group within the IMIA SEP group.
Dr Dawn Dowding
Professor in Clinical Decision Making
University of Manchester
Panel: Learning from experts on the evolution of decision support systems: A career progression panel
1:15 PM - 1:55 PMBiography
I am Professor in Clinical Decision Making, School of Health Sciences, University of Manchester, UK. I am a health services researcher and nurse with expertise in the field of health care decision-making and nursing informatics. My research interests include the development and evaluation of decision support tools, and the application of Health Information Technology for assisting decision making in practice. Prior to my appointment at Manchester, I was Professor of Nursing at Columbia University School of Nursing and the Visiting Nurse Service of New York. I am currently co-Chair of the eHealth forum at the Royal College of Nursing, and am a Fellow of the Faculty of Clinical Informatics (UK) and an elected fellow of the American Academy of Nursing.
Mollie Hobensack
PhD Candidate
Columbia University
Panel: Learning from experts on the evolution of decision support systems: A career progression panel
1:15 PM - 1:55 PMBiography
Mollie Hobensack is PhD candidate at Columbia University School of Nursing. She previously worked as a nurse on a geriatric medical surgical unit. Her dissertation work focuses on exploring social determinants of health documented in home healthcare narrative notes and examining their influence on risk models.
Dr Laura-Maria Peltonen
Research Group Leader
University of Turku
Panel: Learning from experts on the evolution of decision support systems: A career progression panel
1:15 PM - 1:55 PMBiography
Dr Peltonen works at the Department of Nursing Science at the University of Turku in Finland. Her research covers information management to support decision-making on different levels in health service provision. Her work spans from development of user tailored intuitive solutions to applications of intelligent technologies. Dr Peltonen earned her PhD at the University of Turku in 2018 and was granted the title of Docent in 2021. She is a Fellow of the European Academy of Nursing Science and the International Academy of Health Sciences Informatics. She is board member of the European Federation for Medical Informatics Nursing Informatics Working Group and she chairs the Governance Advisory Panel of the Nursing Informatics Group of the International Medical Informatics Association. She has authored over seventy peer-reviewed articles and fifty articles intended for the professional community, ten book chapters and twenty texts targeted at the general public.
Dr Jennifer Withall
Postdoctoral Research Fellow
Columbia University
Panel: Learning from experts on the evolution of decision support systems: A career progression panel
1:15 PM - 1:55 PMBiography
Jennifer Withall, PhD, RN is a postdoctoral research fellow appointed to the Reducing Health Disparities through Informatics training grant (T32NR007969) at the Columbia University School of Nursing. Throughout her postdoctoral tenure, she has worked closely with The Communication Narrative Concerns Entered by RNs (R01NR016941) study team during the implementation of an early-warning system clinical decision support SMARTApp that calculates patient risk for clinical deterioration.
Lipika Samal
Associate Professor
Brigham and Women's Hospital
Panel: The potential for and limitations of computable phenotypes in chronic disease
2:05 PM - 2:45 PMBiography
Dr Lipika Samal is an investigator and primary care physician who has developed and evaluated clinical decision support for chronic kidney disease. Her team has studied the impact of technology on care coordination for patients with multiple chronic conditions, and disparities in access to digital health technology for self-management.
Prof David Dorr
Chief Research Information Officer
Oregon Health & Science University
Panel: The potential for and limitations of computable phenotypes in chronic disease
2:05 PM - 2:45 PMBiography
Dr David A. Dorr, an internal medicine doctor, is OHSU’s Chief Research Information Officer. He focuses on improving capabilities and use of innovations to manage data, information and knowledge in research and in translating it to health care.
His interests lie in collaborative care, chronic disease management, quality and what clinical information systems need to support these areas. He also is interested in patient safety. Dr Dorr wants to provide the best care for older adults and people with chronic diseases. He has worked on longitudinal care management systems, which are holistic, patient-centered plans. They help keep better track of patients’ needs and goals, help them manage their conditions better, and make them feel like a valued member of the team.
