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INST408D-0101: Special Topics in Information Science; Designing Patient-Centered Technologies (Spring 2021)

Tuesday 2:00pm–3:30pm 

Zoom meeting: Access via ELMS

Instructor: Yuhan Luo (she/her/hers), Ph.D. Candidate

Grader: Eden Rose Metzger, MS Candidate in Human-Computer Interaction

Course design credit:

Course Schedule 

Week Date Readings

Assignment Out

 Due Before Class
1 1/26

Course Overview, Intro to Design Thinking

Required Readings/Videos:

Optional Readings:

In-Class Activities:

  • Course Expectations & Discussion
  • Group Formation

R1

I1-Group Preferences Survey

2 2/2

Understanding People's Needs & Qualitative Data Analysis

Readings:

  • Braun, V & Clarke, V. (2012). Chap. 4, Thematic Analysis. 
  • Liu, L. S., Huh, J., Neogi, T., Inkpen, K., & Pratt, W. (2013, April).  In Proceedings of the SIGCHI conference on Human factors in computing systems (pp. 49-58). ACM.

In-Class Activities:

  • Thematic Analysis Exercise

R2

I2-Needs Analysis

G1-Problem Statement

I1-Group Preference Survey (1/28@12pm)

R1 (2/1@12pm)

3 2/9

Patient-Generated Data 1: Self-Monitoring

Readings:

  • Choe, E. K., Lee, N. B., Lee, B., Pratt, W., & Kientz, J. A. (2014). In Proceedings of the 32nd annual ACM conference on Human factors in computing systems. ACM.
  • Li, I., Dey, A., & Forlizzi, J. (2010).A stage-based model of personal informatics systems. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 557-566). ACM.

Optional Readings:

  • EK Choe, S Abdullah, M Rabbi, E Thomaz, DA Epstein, et. al. Semi-automated tracking: A balanced approach for self-monitoring applications. IEEE Pervasive Computing, 2017

R3

G2-Problem Statement, Plans, and Roles

R2 (2/8@12pm)

I2-Needs Analysis (2/9@2pm)

4 2/16

Patient-Generated Data 2: Sensing Health & Wellness

Readings:

  • Mohr, Zhang, and Schueller. Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning. In Annual Review of Clinical Psychology.

Optional Reading:

  • Kim, Y. H., Jeon, J. H., Lee, B., Choe, E. K., & Seo, J. (2017). OmniTrack: A flexible self-tracking approach leveraging semi-automated tracking. < Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies.
 R4

R3(2/15@12pm)

G1-Problem Statement(2/16@2pm)

5 2/23

Visualizing Health Information

Readings:

  • Eun Kyoung Choe, Bongshin Lee, m.c. schraefel.  Characterizing visualization insights from quantified selfers' personal data presentations. IEEE computer graphics and applications. V. 35.4 p. 28-37
  • Eun Kyoung Choe, Bongshin Lee, Sean Munson, Wanda Pratt, Julie A Kientz.  Persuasive performance feedback: The effect of framing on self-efficacy . AMIA Annual Symposium Proceedings 2013: 825-835
  • http://www.dear-data.com/

Optional Reading:

  • Choe, E.K. et al. (2019). Persuasive Data Videos: Investigating Persuasive Self-Tracking Feedback with Augmented Data Videos. AMIA 2019.

R5

G3-Target Population Research and Compentitve Analysis

 

R4 (2/22@12pm)

G2-Problem Statement, Plans, and Roles(2/23@2pm)

 
6 3/2

Health Literacy and Health Justice

* Guest Lecture* by Beth St. Jean, Associate Professor, College of Information Studies

Required Readings:

  • St. Jean, B., Jindal, G., & Liao, Y. (2017) Is Ignorance Really Bliss?: Exploring the Interrelationships Among Information Avoidance, Health Literacy and Health Justice. 80th Annual Meeting of the Association for Information Science & Technology. 

OR

  • St. Jean, B., Jindal, G., Liao, Y., & Jaeger, P. (2019). The central roles of information in health justice, Part 1: Toward a new field of Consumer Health Information Justice. International Journal of Information, Diversity, & Inclusion, 3(3), article 32961.

Optional Readings:

  • Siek, K., Veinot, T., & Mynatt, B. (2019). Research Opportunities in Sociotechnical Interventions for Health Disparity Reduction. Computing Community Consortium; 2019 Jun.
  • Brewer LC, Fortuna KL, Jones C, Walker R, Hayes SN, Patten CA, Cooper LA (2020)  Back to the Future: Achieving Health Equity Through Health Informatics and Digital Health. JMIR Mhealth Uhealth 2020;8(1):e14512

R6

I3-Individual Prototype Analysis

R5(3/1@12pm)

G3-Target Population Research and Compentitve Analysis(3/2@2pm)

7 3/9

Designing Technology for Vulnerable Population

* Guest Lecture* by Alisha Pradhan and Emma Dixon, Ph.D. Candidates, College of Information Studies

Required Readings:

  • Technology Design With Vulnerable Population
  • An 15-min interview recording with an old adult by Emma  
  • Emma Dixon, Amanda Lazar. The Role of Sensory Changes in Everyday Technology use by People with Mild to Moderate Dementia.

Optional Readings:

  • Stowell, E., Lyson, M. C., Saksono, H., Wurth, R. C., Jimison, H., Pavel, M., & Parker, A. G. (2018) Designing and evaluating mHealth interventions for vulnerable populations: A systematic review. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. Paper 15, p. 1–17.
  • Saksono, H., Castaneda-Sceppa, C., Hoffman, J., Seif El-Nasr, M., Morris, V., & Parker, A. G. (2019, May). Social reflections on fitness tracking data: A study with families in low-SES neighborhoods.
R7

 

I3-Individual Prototype Analysis(3/9@2pm)

R6 (3/8@12pm)

8 3/14-21 Spring Break

 

 
9 3/23

Project Check-in

Reading:

Online Design Critique Session

 G4-Prototype Ideation
10 3/30

Supporting Patient-Clinician Communication

Required Readings:

  • Zhu, H., Colgan, J., Reddy, M., & Choe, E. K. (2016). Sharing patient-generated data in clinical practices: an interview study. In AMIA Annual Symposium Proceedings (Vol. 2016, p. 1303). American Medical Informatics Association.
  • Ding, X., Gui, X., Ma, X., Ding, Z., & Chen, Y. (2020). Getting the Healthcare We Want: The Use of Online" Ask the Doctor" Platforms in Practice.
  • Open Notes Project

Optional Readings:

  • Impacts of a web-based educational program for veterans who read their mental health notes online (Links to an external site.)
    Denneson, L., et al., Journal of the American Medical Informatics Association, November 2018, ocy134
  • Rupa A Patel, Andrea Hartzler, Wanda Pratt, Anthony Back, Mary Czerwinski, Asta Roseway.  Visual feedback on nonverbal communication: a design exploration with healthcare professionals.  2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops. p. 105-112
  • West P, Giordano R, Van Kleek M, Shadbolt N. (2016). The quantified patient in the doctor’s office. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. New York:ACM, 3066-3078.

R8

G5-Prototype Draft #1

R7(3/29@12pm)
G4-Prototype Ideation(3/30@2pm)

11 4/6

Patient Engagement

Required Readings:

  • Hong, M. K., Lakshmi, U., Olson, T. A., & Wilcox, L. Visual ODLs: Co-designing patient-generated observations of daily living to support data-driven conversations in pediatric care.
  • Piras, E. M., & Miele, F. (2017). Clinical self-tracking and monitoring technologies: negotiations in the ICT-mediated patient–provider relationship.  Health Sociology Review, 26(1), 38-53. Read Abstract (pg 38), Findings & Discussions (pg 44-51)

Optional Readings:

  • Naslund, J. A., Aschbrenner, K. A., Kim, S. J., McHugo, G. J., Unützer, J., Bartels, S. J., & Marsch, L. A. (2017). Health behavior models for informing digital technology interventions for individuals with mental illness. Psychiatric rehabilitation journal, 40(3), 325.
  • Sawesi, S., Rashrash, M., Phalakornkule, K., Carpenter, J. S., & Jones, J. F. (2016). The impact of information technology on patient engagement and health behavior change: a systematic review of the literature. JMIR medical informatics, 4(1), e1.
  • Georgsson, M., & Staggers, N. (2017). Patients' perceptions and experiences of a mHealth diabetes self-management system. CIN: Computers, Informatics, Nursing, 35(3), 122-130.

 

R9

G6-Prototype Draft #2

R8(4/5@12pm)

G5-Prototype Draft #1(4/6@2pm)
12 4/13

Supporting Patient-Patient Communication

  • O'Leary, K., Schueller, S. M., Wobbrock, J. O., & Pratt, W. (2018, April). “Suddenly, we got to become therapists for each other”: Designing Peer Support Chats for Mental Health. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (p. 331). ACM.
 R10

R9(4/12@12pm)

G6-Prototype Draft #2
13 4/20

Health Information Sharing on Social Media

Required Readings:

  • Househ, M., Borycki, E., & Kushniruk, A. (2014). Empowering patients through social media: the benefits and challenges.
  • Newman, M. W., Lauterbach, D., Munson, S. A., Resnick, P., & Morris, M. E. (2011, March). It's not that I don't have problems, I'm just not putting them on facebook: challenges and opportunities in using online social networks for health.

Optional Readings:

  • Guntuku, S. C., Yaden, D. B., Kern, M. L., Ungar, L. H., & Eichstaedt, J. C. (2017). Detecting depression and mental illness on social media: an integrative review.
  • Gui, X., Chen, Y., Caldeira, C., Xiao, D., & Chen, Y. (2017, May). When fitness meets social networks: Investigating fitness tracking and social practices on Werun.

R11

I4-Group Participation Assessment

G7-Final Presentation

R10(4/19@12pm)
14 4/27

Evaluating Health Technologies

  • 10 Usability Heuristics for User Interface Design
  • Klasnja, P., Consolvo, S., & Pratt, W. (2011). How to evaluate technologies for health behavior change in HCI research. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 3063-3072). ACM.

R12

R11(4/26@12pm)

I4-Group Participation Assessment
15 5/4

Course Review & Final Presentation Prep

G8-Final Report + Interactive Prototype

R12(5/3@12pm)
16 5/11

Final Presentation

G7-Final Presentation(5/10@12pm)

G8-Final Report + Interactive Prototype(5/16@12pm)