Informed by patients, caregivers, and an advisory panel of researchers and clinicians, this research developed, implemented, and evaluated an online patient portal tutorial for patients with chronic conditions.
In this study, researchers assessed the feasibility of using commercial off-the-shelf mobile technology, including phones and fitness trackers, to collect and report patient-generated health data and patient-reported outcomes from diverse, disadvantaged patients in an urban safety net health care system.
This project will develop and test a personalized motivational text messaging intervention to improve management of diabetes and depression in low-income populations.
This project will develop and evaluate an an electronic dashboard to display patient reported outcomes for patients with rheumatoid arthritis that will facilitate clinician and patient conversations about their care.
This research developed and evaluated ConnectCare, a depression intervention combining patient portal features and the ability to communicate with providers.
This research is adapting and scaling a previously piloted mobile application for asthma symptom tracking that has been enhanced with functionality relevant to the COVID-19 pandemic to assist primary care clinicians in better managing their patients with asthma.
This project will evaluate the effects of a technology-based patient-reported outcomes system on patient management of type 2 diabetes in primary care practices.
This research will develop an information technology and implementation strategy for using patient-reported outcomes in primary care settings caring for diverse patients with multiple chronic conditions.
This research will apply innovative health information technology strategies to improve methods for systematic collection and use of patient-reported outcomes in clinical care for those with multiple chronic conditions using person-specific patient-reported outcomes.
This research will validate a shared decision making tool integrated with patient-reported outcomes and clinical data from electronic health records for enabling decision support in patients with knee osteoarthritis considering total knee replacement.
