Research Team: Sen Hirano, Leslie Liu, Sunyoung Park, Natalie Rich, Sheba George (CDU), Dini Baker (EDAC/CHOC)

PIs: Gillian Hayes, Karen Cheng (CDU)

Premature birth is associated with long term health impairments including neurological and cognitive deficiencies, chronic lung disease, and altered growth patterns of lean, fat, and bone tissues. Furthermore, parents of premature infants may experience excessive stress, post-partum depression, and other challenges associated with the birth of and caring for their child.

We are designing, developing, and deploying an innovative and feasible mobile solution for collecting infant and caregiver ODLs, sharing these data with their providers, and visualizing and summarizing these data for both the parents and clinicians caring for these children. This system, FitBaby, has been shown to be helpful in preliminary pilot studies, and now we are expanding its capabilities. Candidate ODLs include length and weight of the baby, feeding and sleeping schedules, and self-reported data about infant well-being and caregiver stress.  We are using a participatory design approach that includes clinicians, parents, social workers, and other relevant stakeholders.  This work includes ongoing collaboration with the UCI Medical Center Department of Pediatrics and Information Services Department to overcome clinical and technical challenges in our design, development, and evaluation as well as in planning for long-term impacts to the clinical workflow.

Watch a talk Gillian gave at Microsoft Research that covers some of the autism and FitBaby work:  http://research.microsoft.com/apps/video/default.aspx?id=121512

Check out our posts on the Robert Wood Johnson Project HealthDesign Blog:

The relationship between ADLs and ODLs (this one is in Spanish too!)

Are there ODL’s in Diapers?

An introduction to our team

Gonzalez-Fraga, J., Tentori, M. and Martinez, F. (2010) “Artifacts’ Roaming Beats Recognition for the Estimation of Care Activities in a Nursing Home”, To be presented at  PervasiveHealth (2010), Munchen, Germany, March 22-25

Congratulations to Monica Tentori and co-authors on the acceptance of their paper to IEEE Intelligent Systems.

Tentori, M., Rodrigez, M.D and Favela, J. “An agent-based middleware for the design of activity-aware applications” Accepted to publication in IEEE Intelligent Systems

The STAR group will be busy at WISH this year with five posters!  We are really looking forward to an amazing event.

Attitudes and Readiness for Adoption of an Electronic Medical Records System: A Preliminary Case Study
- Jed Brubaker, Yunan Chen, Karen Cheng, Chris Combs, Sheba George, Sidney Harrison, Gillian Hayes, Sherrie Kaplan

Heuristic Evaluation of Personal Health Records Systems
– Leslie Liu and Gillian Hayes

Sentient displays to connect people with cognitive disabilities to the digital era of social interaction
- Monica Tentori, Raymundo Cornejo, Jesus Favel

FitBaby: Using Observations of Daily Living to Improve the Health of Preterm Infants and Their Caregivers
- Gillian Hayes, Karen Cheng, Sen Hirano, Sunyoung Park, Dana Gravem, Julia Rich, Dan Cooper

Use of a Wearable Recording Device in Therapeutic Interventions for Children with Autism
- Gabriela Marcu and Gillian Hayes

Student Researchers: Jed Brubaker, Leslie Liu, Sunyoung Park, Chris Combs, So young Li, Sidney Harrison

PIs: Gillian Hayes, Karen Cheng (CDU), Sheba George (CDU), Gene Spiritus (UCI MC), Sherrie Kaplan (UCI Public Health). Yunan Chen

Project: There is no doubt that improving health care in the United States is a major focus for politicians on both sides of the aisle, corporations, and patient advocates.  In many cases, information technology is hoped to be the solution to a variety of problems in health care, such as improving efficiency, patient safety, accountability, billing, and more.

However, development and implementation of large-scale information systems, like electronic medical records (EMR), often require expertise that hospitals and clinics may not have and substantial financial investments that would only be recouped after many years. To successfully implement large-scale health information systems, such as EMRs, we must understand the human processes underlying their implementation, rather than the technological aspects only. Because the evaluation of large-scale health information systems can be incredibly complicated, most evaluations, to date, have been limited in time and scope. Our research team has a unique opportunity to conduct a comprehensive evaluation of the implementation of a large-scale health information technology system in a major research and teaching medical center

This is focused on:

1)    understanding the human-centered and organizational issues of the records transition process;

2)    identifying and evaluating user-level facilitators and barriers to EMR adoption and acceptance; and

3)    identifying and evaluating the organizational factors in adoption and acceptance of EMR.