Scaling and Spreading Electronic Capture of Patient-Reported Outcomes Leveraging a National Surgical Quality Improvement Program
This project will evaluate the feasibility of implementing a quality improvement-driven, health information technology-enabled method for capturing patient-reported outcomes (PROs) after ambulatory surgical procedures.
The research team developed and tested algorithms that can predict postoperative adverse outcomes with a high degree of accuracy.
Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation
This research applied machine learning to develop a model predicting surgical cancellations among pediatric patients, and found the feasibility in using these algorithms as a cost-effective quality-improvement measure.
Preventing Perioperative Medication Errors and Adverse Drug Events Through the Use of Clinical Decision Support
This project will develop a clinical decision support tool for the perioperative setting.
This project evaluated the impact of an inpatient portal used by cardiac patients and found that patients using the portal had a lower 30-day hospital readmission rate.
Improving the Quality and Safety of Regional Surgical Patient Care through the Creation of a Multi-institutional Partnership for the Implementation and Support of Perioperative Informatics Tools
Developed a detailed plan for the implementation and support of informatics tools in regional health centers including the creation of informatics tools to manage institutional surgical care information, creation of a multi-institutional partnership to manage both the informatics and surgical quality improvement programs, and the development of an economic model related to the business and safety benefits.