Bonnie L. Westra, PhD, RN, FAAN, FACMI
westr006@umn.edu
Part of a panel presentation Nursing Knowledge Big Data Science: A National Collaborative to Achieve Sharable and Comparable Nurse-Sensitive Data.
August 28, 2019, Lyon France
Author(s): Bonnie Westra & Tristan Fin
A fake data set generated from 2 organizations, de-identified, duplicated to achieve 10,000 patients, massaged to calculate data elements i.e. age . This data set can be used for practicing data visualization skills.
Shannon Hulett DNP, RN, CNL
Gundersen Health System and Transforming Nursing Documentation WG co-chair
slhulett@gundersenhealth.org
A podium presentation in the Summer Institute for Nursing Informatics 2019 Documentation Burden Deep Dive Track - purpose to share the story of Gundersen Health System's nursing informatics approach to documentation burden reduction.
This is an resource for faculty and educators as they teach about the implications of social determinants of health data on informatics processes.
Contact for further information:
Marisa L. Wilson
mwilsoa@uab.edu
Lynn Choromanski, PhD, RN-BC
Clients diagnosed with pediatric asthma may experience an increased incidence of poorly controlled chronic disease management that lead to poor health and academic outcomes and might be influenced by social or behavioral factors.
OMAHA SYSTEM GUILDELINE METADATA: SDOH Unstable Housing
Name of guideline:
SDOH Acute or Chronic Unstable Housing
NKBDS Encoding-Modeling Part1 Orientation 2017-06-20
Susan Matney & Tess Settergren
Policy Recommendation
The NCSBN ID should be used by key stakeholders as a nurse identifier to help demonstrate the value of nurses through research, and enhance patient care and outcomes via more comprehensive documentation in the EHR, ERP, and other health IT systems.
Dr. Jennifer P. Lundblad
President & CEO, Stratis Health, Minnesota
Dr. Lisa Moon
June 6, 2019
Nursing Knowledge Big Data Science Conference
Cyrus Batheja, Ed.D., M.B.A, B.S.N., P.H.N., R.N.