2022 Research Stories
Automated Retract-and-Reorder Measures to Improve Medication Safety
New measures to identify near-miss medication errors are a major advancement in patient safety and can help healthcare systems make ordering even safer.
Decision Precision+: Increasing Lung Cancer Screening for At-Risk Patients
A shared decision-making tool to support the appropriate use of low-dose computed tomography screening has the potential to prevent 10,000 or more lung cancer deaths annually in the United States.
Making Evidence-Based Clinical Decision Support Implementable in Different Electronic Health Records
Clinical decision support that can be implemented in different types of electronic health records has the potential to scale evidence-based practice across healthcare systems.
Spreading and Scaling Use of Patient-Reported Outcomes for People with Rheumatoid Arthritis
Development of a toolkit to facilitate the scale and spread of using patient-reported outcomes among rheumatoid arthritis patients fills an existing gap in national resources to provide support to rheumatologists.
Previous Research Stories
Guidelines For Meaningful and Effective Electronic Patient-Reported Outcomes Use in Clinical Settings
Governance, integration, and reporting are key systems-level principles that support incorporation of electronic patient-reported outcomes into clinical practice.
Improving Medication Safety with Accurate e-Prescribing Tool
Successful implementation of CancelRx, an e-prescribing functionality to electronically communicate medication discontinuation orders between electronic health records and pharmacies, can improve medication safety and reduce adverse drug events.
The Anesthesiology Control Tower: Like Air Traffic Control for Operating Rooms
Using algorithms can predict postoperative adverse outcomes with a high degree of accuracy leading to better outcomes for the highest risk patients.
User-Friendly Apps to Advance the Use of Standardized Patient-Reported Outcomes
The coordination of human and technical processes using a systems approach is crucial to ensure the successful use of PRO data.
Using Natural Language Processing to Improve Autism Spectrum Disorder Research and Care
Applying algorithms on free text in electronic health records can identify criteria for autism spectrum disorder (ASD), which improves earlier detection and treatment as well as research with large-scale data.
Virtual Pharmacy Improves Medication Use and Patient Safety in Palliative Care
Including virtual pharmacists in palliative care teams can reduce adverse drug interactions and increase the quality of life for people who are very ill.