Erica
Team
April 2017
Erica
Team
University of Minnesota School of Nursing
Minneapolis
,
MN
United States
This nomination for the DAISY Award, Commitment to the Understanding of Social Determinants in Health, is in recognition of the exemplary work of the interprofessional faculty/staff team that is actively involving students and community in disseminating the understanding that the social determinants of health goes beyond the biomedical model of disease. The team has worked tirelessly for the past two years to advance the use of big data to support student learning about the social and behavioral determinants of health (SBDH) Including class, race, gender, and other factors. This work began in collaboration with the Minnesota Department of Health in a practicum for the Population Health Informatics Class, in which faculty mentored students as they evaluated electronic health records for documentation of SBDH data.
Together, the faculty and students have disseminated the findings broadly and received awards for the attention to important issues that were raised from this work. Team members built on this success to evaluate the use of the Omaha System to capture SBDH information in EHRs. These efforts led to further faculty involvement with large datasets to test proof of concept within the Omaha System Data Collaborative through the Center for Nursing Informatics. A manuscript was developed collaboratively with community partners and was published in JOGNN in January 2017. Another manuscript is under review. Our work together continues to extend to reach more faculty, students, and the scientific community as we will be presenting this work at national and international conferences in 2017 and incorporate these opportunities within our classes. Building on this work we are extending learning opportunities to more doctoral and masters students through research practicum classes and are currently studying the relationships between SBDH and frailty among older adults.
The SBDH Team members are:
Chih-Lin Chi, PhD
Melissa Horning, PhD, RN
Michelle Mathiason Moore, MS
Siobhan McMahon, PhD, MPH, RN, GNP-BC
Karen A. Monsen, PhD, RN, FAAN
Erica Schorr, PhD, BSBA, RN
We request that our newest ‘big data’ investigator, Dr. Erica Schorr, receive this DAISY Award on behalf of the team. Every team member has contributed substantively to this work which we believe aligns with the DAISY Award criteria, both through teaching and through scholarship. The team has established a powerful trajectory to advance the understanding of social and behavioral determinants of health using big data science techniques.
Together, the faculty and students have disseminated the findings broadly and received awards for the attention to important issues that were raised from this work. Team members built on this success to evaluate the use of the Omaha System to capture SBDH information in EHRs. These efforts led to further faculty involvement with large datasets to test proof of concept within the Omaha System Data Collaborative through the Center for Nursing Informatics. A manuscript was developed collaboratively with community partners and was published in JOGNN in January 2017. Another manuscript is under review. Our work together continues to extend to reach more faculty, students, and the scientific community as we will be presenting this work at national and international conferences in 2017 and incorporate these opportunities within our classes. Building on this work we are extending learning opportunities to more doctoral and masters students through research practicum classes and are currently studying the relationships between SBDH and frailty among older adults.
The SBDH Team members are:
Chih-Lin Chi, PhD
Melissa Horning, PhD, RN
Michelle Mathiason Moore, MS
Siobhan McMahon, PhD, MPH, RN, GNP-BC
Karen A. Monsen, PhD, RN, FAAN
Erica Schorr, PhD, BSBA, RN
We request that our newest ‘big data’ investigator, Dr. Erica Schorr, receive this DAISY Award on behalf of the team. Every team member has contributed substantively to this work which we believe aligns with the DAISY Award criteria, both through teaching and through scholarship. The team has established a powerful trajectory to advance the understanding of social and behavioral determinants of health using big data science techniques.