Publications by authors named "P W Dykes"
Objectives: The purpose of this study was to examine the impact of a contact-free continuous monitoring system on clinical outcomes including unplanned intensive care unit (ICU) transfer (primary), length of stay (LOS), code blue, and mortality. A secondary aim was to evaluate the return on investment associated with implementing the contact-free continuous monitoring program during the COVID public health emergency.
Methods: An interrupted time series evaluation was conducted to examine the association between the use of contact-free continuous monitoring and clinical outcomes.
Objectives: Conducting simulation testing with end-users is essential for facilitating successful implementation of new health information technologies. This study designed a standardized simulation testing process with a system prototype prior to implementation to help study teams identify the system's interpretability and feasibility from the end-user perspective and to effectively integrate new innovations into real-world clinical settings and workflows.
Materials And Methods: A clinical simulation model was developed to test a new Clinical Decision Support (CDS) system outside of the clinical environment while maintaining high fidelity.
Article Synopsis
- The American Medical Informatics Association (AMIA) established a Task Force on Diversity, Equity, and Inclusion (DEI) to combat systemic racism and health disparities highlighted by events like police brutality and COVID-19's impact on Black communities.
- The Task Force, with 20 core members and additional volunteers, developed a series of DEI recommendations over nine months, including creating a logic model and conducting a review of DEI initiatives from other organizations.
- The Task Force's efforts aim to support marginalized groups, expand the research focus on equity issues, and position AMIA as a leader in DEI, emphasizing the need for continuous transformation within the field of informatics.*
Background: Accurate identification of incident venous thromboembolism (VTE) for quality improvement and health services research is challenging. The purpose of this study was to evaluate the performance of a novel incident VTE phenotyping algorithm defined using standard terminologies, requiring three key indicators documented in the electronic health record (EHR): VTE diagnostic code, VTE-related imaging procedure code, and anticoagulant medication code.
Methods: Retrospective chart reviews were conducted to assess the performance of the algorithm using a random sample of phenotype(+) and phenotype(-) diagnostic encounters from primary care practices and acute care sites affiliated with five hospitals across a large integrated care delivery system in Massachusetts.