This research will develop and validate advanced statistical and machine learning methods to assess and improve representational semantic integrity of terminologies in large clinical databases.
This effort will convene a workshop entitled “Workshop to Inform Technology Innovation and Research for Medicaid Programs” to identify challenges faced by Medicaid beneficiaries and programs that are amenable to technology, ideate prototype solutions, and disseminate the findings.
This research will further scale clinical decision support aimed at preventing the prescription of inappropriate medications to older adults upon discharge from the emergency department.
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.
This project aims to refine and develop methods to address missing electronic health record data to improve data quality and research validity.
This project will develop and evaluate an electronic clinical decision support tool for care of patients with Acute Respiratory Distress Syndrome.
This project will identify orthopedic clinical outcome measures that are most important to patients, and study the impact on satisfaction and outcomes when this information is provided to patients and their doctors.
This project will enhance novel algorithms for matching patient health information across data sources, implement them, and evaluate their accuracy.
This research assessed the use of a health information exchange system in emergency department settings, finding that although overall usage is relatively low, additional functionalities such as single sign on add value to clinical decision making and enable faster retrieval of patient records from external sources compared to traditional methods when embedded into existing workflows.
The Electronic Data Methods Forum is charged with advancing the national dialogue on the infrastructure and methods of health research and quality improvement using electronic clinical data, with the goal of improving patient care and outcomes.
