This project held an invitation-only conference to examine methodological issues related to the identification and development of outcome measures and their accompanying risk-adjustment models in the electronic health record environment.
This study examined the relationships between the stage of electronic health record adoption, missed nursing care, and the nursing practice environment’s adverse effect on hospitalized patients’ outcomes and satisfaction.
Systematically assessed improvements in patient safety and experience of care associated with implementation of four decision support function embedded in an electronic health record: 1) the influence of weight based dosing on pediatric adverse drug events; 2) the influence of a test result tracking system on appropriate followup of ordered tests; 3) the influence of automated reminders on symptom monitoring and medications for children with asthma and attention deficit disorder.
The project successfully developed a set of medication safety measures relevant for primary care and incorporated these measures in quarterly performance reports sent to participating practices.
Implemented a computer decision-support system in a 23-county service area in both inpatient and outpatient settings, including several rural clinics; included a training component for physicians and other health care providers, as well as a hospital pharmacy component for adverse drug event management and prevention strategies.
Identified essential technological needs for accessing and sharing data and information between patients and health care providers; developed an implementation plan to expand the transmission of referral information electronically in a closed health system to an open system.
Assesses the value of health IT to clinicians through creation of CDSS tools integrated with clinical documentation workflow and physician performance feedback, its impact on clinical decision support and quality assessment, and its cost-effectiveness.
This project focused on developing and implementing CDS tools to support nurses in the development of care plans and involvement in quality improvement activities in the area of fall prevention in acute care.
This project implemented and examined the effectiveness of an electronic standing order process.
This project’s aim was to improve providers' ability to distinguish viral infections from bacterial infections by providing physicians and patients with timely, accessible information about the local incidence of common respiratory viruses through the use of a population health repository and decision support tools.