2. THREE THEMES
• Data collection and analytics
• Patient-technology interaction
• Clinical and translational science
3. DATA COLLECTION & ANALYTICS 1
• Topic: Sensor-based data collection
• Presenter: Dr. Robert Furberg
• Affiliation: RTI International – Digital Health & Clinical Informatics
• Time: Sept. 7th, 2016
4. Consumer Wearables Research Wearables
• Wearable activity
trackers
• A systematic
review of validity
and reliability
(Fitbit vs.
Jawbone)
• Durham
policeman
wearable
biometric sensors
(i.e., E4 Sensors)
• Self-tracking data
impacts personal
decision making
• Helpful
recommendations
on how to use
wearable trackers
• Police officers’
physiological
symptoms
mapped to GPS
locations and
synchronized with
timeNote: the graph is downloaded from the Internet.
5. DATA COLLECTION & ANALYTICS 2
• Topic: Making medicine smarter through analytics and data sciences
• Presenter: Jason Burke
• Affiliation: UNC Health Care System
• Time: Sept. 28th, 2016
7. DATA COLLECTION & ANALYTICS 3
• Topic: Fixing the “Garbage in” dilemma through transformation of clinical workflows
• Presenter: James E. Tcheng
• Affiliation: Duke University Hospital
• Time: Oct. 5th, 2016
8. Structural Reporting
Note: the graphs are excerpted from the presentation slides
• What is Structure Reporting
• What is Needed for Structure Reporting
• Foundational Issue – data standards
and controlled vocabularies
9. PATIENT PORTAL USABILITY STUDY
• Topic: Looking beyond patient portals: Patient engagement via an online breast cancer
survivorship Tool
• Presenter: Akshat Kapoor
• Affiliation: East Carolina University
• Time: November 19th, 2016
10. ACESO Usability Study – Two Phases
Note: the graphs are excerpted from the presentation slides.
• Phase I: Usability and acceptability
testing
• Phase II: Impact of system use on
patient perceived quality of life
11. TELEREHABILITATION STUDY
• Topic: Telerehabilitation in occupational therapy
• Presenter: Jennifer Radloff & Yong Kim
• Affiliation: East Carolina University
• Time: Sept. 14, 2016
12. Use of telerehabilitation in research
(Kim et al, 2016)
• Method – WebEx video conference
• Instrument – Amazon Fire
• Challenges - low quality video; audio
and video lag; internet access; small
hiccups (i.e., volume, email, echo)
• Conclusion – an emerging area of
practice and great potential to grow
Note: the graphs are excerpted from the presentation slides
13. TRANSLATIONAL SCIENCE
• Topic: Development of an HIE for transitional housing residents in Charlotte, NC
• Presenter: Williams Saunders
• Affiliation: UNC Charlotte
• Time: November 9th, 2016
14. Health informatics to health care solution for people residing in transitional housing
Note: the graphs are excerpted from the presentation slides
• Phase I: Investigate, learn and build
foundations
• Phase II: Complete initial tasks,
collaborate across the community
• Data collection: Resident survey, HMIS
capabilities and usability, Residents’
medical data & current state data, and
UNC-Social good grant application
data
15. CONCLUSION
• Health informatics is a fast growing field.
• Health IT is the core of health informatics.
• The goal of health informatics is to improve the healthcare
quality and reduce the cost.
Editor's Notes
Bioinformatics – within one’s body; health informatics- everyhting outside of one’s body