Full course description
This course will give you an overview of informatics and its applications in numerous health-related professions. Topics covered in the on-demand modules will provide you with a high-level understanding of data systems and usage.
Modules that will be covered:
- What is Health Data – Introduces the concepts of health data including where data is entered, how it is collected, and where data flows.
- Introduction to Health Data Standards – Provides an understanding of how health data is organized including terminologies and data standards.
- Introduction to Data Governance – Reviews the guidance around health data privacy, security and patient consent grounded in the ethics of data sharing.
- Ways to Use Health Data – Introduces the Data Information Knowledge and Wisdom (DIKW) Pyramid to help explore ways health data can be used including population health, quality improvement or value-based reimbursement.
- Health Data Representation – Shares examples and exemplars of health data visualization along with basic concepts in human-centered design to explore the best practices in data visualization. Representation of data with considerations to health equity and vulnerable populations will be introduced.
Each module comprises a 15–20-minute presentation followed by learning activity and assessment with course evaluation.
Upon completion, learners will have the capacity to:
- Identify the health system infrastructure where enter, collected and flows
- Recognize the opportunities and challenges of the current health data infrastructure in healthcare
- Describe the importance and intent of health data standards
- Explore codes through a variety of data standards including ICD-10, PHI, USCDI, FHIR
- Examine the ethics of data sharing related to privacy, security and consent
- Understand how and when health data is used across the healthcare system
- Determine how health data should be utilized
- Convey important considerations when visualizing health data
- Compare and contrast health data visualizations
Designed for: Physicians, physician assistants, nurse practitioners, nurses, pharmacists, and other interested health care professionals
Education Credit
Category 1
Creighton University Health Sciences Continuing Education designates this enduring activity for a maximum of 8.0 AMA PRA Category 1 Credit(s)TM. Physicians should claim only credit commensurate with the extent of their participation in the activity.
AAPA accepts AMA category 1 credit for the PRA from organizations accredited by ACCME.
Nurses CE
Creighton University Health Sciences Continuing Education designates this activity for 8.0 contact hours for nurses. Nurses should claim only credit commensurate with the extent of their participation in the activity.
Pharmacy
Creighton University Health Sciences Continuing Education (HSCE) is accredited by the Accreditation Council for Pharmacy Education (ACPE) as a provider of continuing pharmacy education (CPE). Introduction to Health Data & Informatics is accredited for 8.0 hour(s) for completion of all CE Sessions. Introduction to Health Data & Informatics is a knowledge-based activity.
Accreditation Statement
In support of improving patient care, Creighton University Health Sciences Continuing Education is accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.
