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Optimizing Care Delivery and Outcomes DIGH 7300

Digital Health Course

Course details

This course focuses on decision-support principles, standards and best practices to optimize quality-driven care and outcomes. Learners evaluate frameworks for continuous improvement and innovation in health care (e.g., learning health system). The course covers methods of workflow analysis, and the principles of workflow re-engineering. Learners explore data associated with workflow processes and clinical context and the development of data flow diagrams. Learners examine person-facing health information applications (e.g., patient portals, mobile health apps and devices, disease management, patient education, behaviour modification). Learners also examine methods (e.g., portals, apps, strategies for patient engagement, education and outreach) to connect health information systems to patients. Learners examine the use of clinical data registries for quality improvement and decision-making. Learners explore how specialized and emerging data sources can be used to enhance clinical decision-making for improved health outcomes. The course discusses how better use of health data through specialized and emerging data sources, data quality, and standards compliance can help improve outcomes. The course explores the importance and implications of perception and cognition related to data visualization in optimizing care delivery and outcomes. Learners study collaborative change and principles and practices of quality improvement (e.g., Six Sigma, Lean, the Plan-Do Study-Act (PDSA) cycle, root cause analysis) and their use in digital health projects and implementations to optimize care outcomes.

Prerequisite(s)

Credits

3.0

Cost

$913.57

Course offerings

Fall 2023

Below is one offering of DIGH 7300 for the Fall 2023 term.

CRN 50392

Duration

Tue Sep 05 - Fri Nov 24 (12 weeks)

  • 12 weeks
  • CRN 50392
  • $913.57
Class meeting times
Dates Days Times Locations
Sep 05 - Nov 24 N/A N/A Online
Instructor

Evelyne Liu

Course outline

View

Cost

$913.57

Important information
  1. Internet delivery format.
  2. Important course information will be sent to you prior to your course start date. Check your myBCIT email account to access this information.
Status

In Progress

This course offering is in progress. Please check back next term or subscribe to receive email updates.

Learning Outcomes

Upon successful completion of this course, the student will be able to:

  • Describe clinical decision-support principles and practices to optimize care delivery and outcomes.
  • Apply workflow processes, techniques, and tools and the principles of workflow re-engineering.
  • Provide examples of methods, including portals and apps, and strategies for patient engagement, education, and outreach, to connect health information systems to patients.
  • Explain how data registry information can be used for quality improvement and decision-making.
  • Analyze how specialized and emerging data sources can be used to enhance clinical decision-making for improved health outcomes.
  • Summarize the importance of perception and cognition related to data visualization.
  • Apply principles and practices of collaborative change and quality-improvement to implementation of digital health projects.

Effective as of Fall 2023

Related Programs

Optimizing Care Delivery and Outcomes (DIGH 7300) is offered as a part of the following programs:

School of Health Sciences

  1. Digital Health
    Advanced Certificate Part-time

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