Uncovering the Latest Findings
The Human Systems Interaction lab is a multi-disciplinary research lab that focuses on various disciplines including human-centered design, human factors engineering, health informatics, human-computer interaction, patient safety, and health system engineering. We apply evidence-based theories to transform the socio-technical change in healthcare by studying health technologies (patient-facing technologies, consumer informatics, interactive technologies), user-centered Artificial Intelligence systems, care coordination, and innovative socio-technical interventions.
Ongoing Research Projects
Humanized AI systems: Designing User Centered, Trustworthy AI systems in Healthcare
We study design requirements of user-centered Artificial Intelligence (AI) systems in healthcare to improve clinicians-AI interaction. We specifically explore how trust is formed in this interaction, and design requirements to enable optimum trust between users and AI systems to improve the quality of decision making and related patient safety outcomes in a clinical environment.
Completed Research Projects
Enhancing Prematurity Decision Making for Parents
We developed a collaborative tool to be used for parents and providers in Neonatal ICU for critical decision-making regarding the premature delivery decision. We used the user-centered design approach to finalize the product. We currently work on how this technology impact outcomes including shared decision making.
Sponsors: National Institute of Children Health Development/NIH, AMAG Pharmaceuticals
Ethnographic field studies in healthcare
In collaboration with Enid Montague’s Human-Computer Interaction Lab at UW-Madison, later the WHEEL Lab at Northwestern, projects related to consumer health IT, trust in smart medical devices, and electronic health record workflow during primary care visits and the care delivery process were conducted.
A Statewide RCT to Reduce Use of Ineffective or Unproven Breast Cancer Care
We designed a collaborative technology to be used during the encounter between oncology doctors and breast cancer patients to improve the shared decision-making process regarding the treatment
Sponsors: NIH Cancer Institute (R01)
Creating Virtual Surgery Targets to Improve Outcomes of Nasal Airway Surgery
We used the Technology Acceptance Model to develop decision aids technology for surgeons to improve outcomes of nasal airway surgery.
Sponsors: National Institute of Biomedical Imaging and Bioengineering (R01)