Interprofessional Big Data

 

Interprofessional Big Data: Harnessing the power and opportunity to support interprofessional solutions

A New Models of Care Require New Models of Learning Institute

 

April 4-5, 2018

Location: Doubletree by Hilton Minneapolis-University, Minneapolis, MN

Register Now

Interprofessional Big Data

 

Interprofessional Big Data: Harnessing the power and opportunity to support interprofessional solutions

A New Models of Care Require New Models of Learning Institute

 

April 4-5, 2018

Location: Doubletree by Hilton Minneapolis-University, Minneapolis, MN

Register Now


Program Goal

Build awareness and understanding of the national interprofessional research context for large data science, including the power and limitations of predictive and visualization analytics to ascertain patterns, trends, and evidence that will guide patient care, care management, risk management, patient satisfaction, and decision support


Program Objectives
  • Describe regional and national context, initiatives, resources, and challenges for interprofessional big data & data science.

  • Examine interprofessional big data and its core relationship to data science.

  • Discuss interprofessional data science exemplars.

  • Examine development strategies to build interprofessional big data/data science capacity.

  • Discuss potential interprofessional big data/data science partnerships to enhance next steps to promote interprofessional practice and education research.

  • Discuss opportunities and challenges of leveraging big data to support solutions for interprofessional practice,education and scholarship

  • Discuss the National Center Data Repository and how you can be involved.


Who should attend

Increasingly, the delivery of health care is relying on big data to understand trends to optimize care and improve health outcomes. Anyone with an interest in interprofessional health informatics would benefit from this introductory level-course designed to build awareness and understanding of the national interprofessional research context for large data science and how it will guide everything from patient care, care management, risk management, patient satisfaction and decision support.

This course may be of particular interest to:

  • Members of Nexus teams (health care and education collaborations) exploring how to leverage big data to support solutions for interprofessional practice, education and scholarship
  • Health care administrators and clinical professionals desiring to understand basic principles of big data science and how it can guide decisions around care.
  • Health IT professionals seeking information about current trends in big data science.
  • Individuals with an interest in learning more about interprofeessional big data science and its role in advancing interprofessional practice and education.

Acknowledgements

The National Center for Interprofessional Practice and Education is supported by a Health Resources and Services Administration Cooperative Agreement Award No. UE5HP25067. The National Center is also funded in part by the Josiah Macy Jr. Foundation, the Robert Wood Johnson Foundation, the Gordon and Betty Moore Foundation, The John A. Hartford Foundation and the University of Minnesota.

A special thank you to the University of Minnesota School of Nursing for its leadership in nursing and interprofessional informatics research to improve health and health care through local, national and international engagement.