The study will create, implement, and test a patient-centric web app to support older adults with chronic conditions in comprehending, managing, and acting upon their lab test results.
This research will evaluate the safety, usability, diagnostic, and triage accuracy of a popular symptom checker app and new diagnostic algorithms, and their ability to affect patients’ decisions to seek care, particularly for transient ischemic attacks and stroke.
This research will test and validate a machine learning predictive analytic intervention to optimize the timely and appropriate use of interpreters for hospitalized patients with language barriers and complex care needs.
This research will assess the impact of AHRQ’s 2016 clinical decision support (CDS) initiative, understand the current state of patient-centered CDS, and identify gaps for future research.
This study developed, implemented, and rigorously evaluated a clinically integrated remote symptom monitoring intervention for asthma patient-reported outcomes (PROs) in primary care, with findings revealing an improvement in patient quality of life and suggesting the intervention's potential to enhance the ability of clinicians and clinical staff to manage their patients.
This project identified patients’ needs, preferences, and responses when receiving abnormal test result notifications through an electronic patient portal, and developed a usable prototype to improving test result communication.
This project enhanced patient notification of test results for older adults by adding verbal, graphic, or visual enhancements to improve patient comprehension of risk.
The goal of this research was to document the ability of low-income, multiethnic older adults to use information technology applications for personal health information management.
This project piloted an embodied conversational agent to support shared decisionmaking for prostate cancer treatment and found that the tools was technically feasible however, many men preferred receiving information from their providers.
This project utilized input from patients and clinicians in order to develop three test versions of an after visit summary (AVS), and employed a randomized controlled trial to evaluate the various versions against a standard AVS.
