Text Messaging to Improve Hypertension Medication Adherence in African Americans
This project developed and tested a text message system to improve medication adherence for African Americans with uncontrolled hypertension.
This project developed and tested a text message system to improve medication adherence for African Americans with uncontrolled hypertension.
This project pilot tested and evaluated a smoking cessation clinical decision support system, finding it was feasible to implement, easy to use and helpful for patient care, and led to an increase in patient quit attempts.
This project sought to identify existing, and create new, clinical quality of care metrics able to be reliably retrieved from electronic systems, such as electronic health records and health information exchanges.
Utilized existing health IT standards to integrate the current stand-alone databases and information systems of a consortium of three rural health care systems as the basis for creating a comprehensive electronic health record for patient care.
This project developed and pilot tested a screening module and clinical decision support system for adolescents’ behavioral health.
Implemented a series of new health information technologies in carefully staged processes over 2 years to include an Inpatient Pharmacy System, Electronic Medication Administration Record, Bar Coding System, and a CPOE System; evaluated the impact of these systems on safety, quality, and efficiency.
Assessed the impact of Medical Imaging Informatics on health care costs and quality and developed a business case related to the acquisition and implementation of automated radiology systems; developed a financial model to demonstrate the impact of these systems on provider systems and health care quality.
The goal of this study was to develop and evaluate electronic health record-based tools to improve diagnosis and treatment of overweight and obesity in primary care.
The findings of this study demonstrated that electronic health record-based trigger methods can enable more meaningful measurement and surveillance of diagnostic errors in primary care.
This project used clinical decision support tools to alert clinicians when prescribing unsafe medications, and to prompt them to counsel women in the use of contraception.