Health IT Survey Compendium
The Health IT Survey Compendium provides a centralized resource of publically available health IT surveys, many of which were developed by AHRQ-funded projects. Surveys may be used as is, serve as templates to create new surveys, or questions pulled out and used on their own.
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- 9 results found
- x Intensive Care Unit
- x Nurse
- x Adults
- x Nurse Practitioner
- x Patient
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Description: Assesses the implementation of CPOE/ EHR systems in 4 intensive care units (ICUs) and evaluates the value and outcomes of patient safety involving medication errors; quality of care; end users' job tasks, perceptions, and attitudes; and financial impact.
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Description: Examines the effect of tele-ICU monitoring on mortality, complications, length of stay, cost-effectiveness, provider attitudes, and human factors issues in ICUs and 7 community hospitals.
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Description: Implemented an integrated electronic patient medical record, electronic medication administration record, computerized physician order entry (CPOE), and clinical decision support software that is accessible at all participating facilities which include an acute care hospital, home health care agency, ambulatory clinics, a rehab facility, and to the patient/resident from home.
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Description: This research will enhance an augmented reality headset used to provide real-time feedback on pediatric chest compressions. Researchers will evaluate the usability and user experience of the augmented reality cardiopulmonary resuscitation tool in an international multicenter randomized simulation study, with the aim of improving the quality of chest compressions and saving lives.
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Description: This research identified the data domains at greatest risk of communication errors during intensive care unit (ICU) patient rounds, developed the ability to conduct simulated ICU rounds for research and training, and found that there is a need for real-time simultaneous reviewing of data by all members of the rounding team to reduce communication errors.
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Description: This project evaluated the use of an in-room interactive monitor to improve patient-centered care and family engagement within a pediatric intensive care unit.
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Description: This research implemented a clinical decision support tool to identify patients at risk for a life-threatening, uncommon cardiac arrhythmia.
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Description: This research will develop, evaluate, and test the efficacy of Empower NICU – A Bridge to Resources for Adjusting and Coping with Emotions (EmBRACE), a mobile health application designed to screen and monitor psychological symptoms in parents of infants hospitalized in the neonatal intensive care unit, identify those at risk, and connect parents with services, information, support, and resources.
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Description: This research evaluates an artificial intelligence risk predictive tool called CoMET that uses visual outputs of patient data to serve as an early warning system for patients at risk of cardiac decompensation to allow for earlier intervention and reduction in morbidity and mortality.