This research study implemented a sociotechnical systems approach to the development of a health information technology-supported process for preventing and diagnosing venous thromboembolism.
This research demonstrated the feasibility of a web-based clinical decision support platform that is electronic health record-agnostic and supports evidence-based medicine at the point of care.
This research will adapt an existing interoperable clinical decision support (CDS) tool for prevention of venous thromboembolism (VTE) to those with traumatic brain injury, scale it using an implementation strategy called SCALED (Scaling AcceptabLE cDs), and evaluate that approach to ensure that CDS tools are based on the most current evidence.
This research will create clinical decision support artifacts for three patient-centered outcomes research guidelines around advanced diagnostic imaging using standards to allow them to be shareable, interoperable, and scalable; and implement them in different workflows and settings measuring their impact.
This research will implement, evaluate, and disseminate DDInteract, a shared decision making clinical decision support tool that aims to reduce harm from oral anticoagulant drug-drug interactions.
