Adoption of Order Entry with Decision Support for Chronic Care by Physician Organizations

Simon, Jodi; Rundall, Thomas G.; Shortell, Stephen M.

doi:10.1197/jamia.m2271

Cited by 24 publications

(19 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Chart review is labor-intensive and is associated with significant costs, which may limit the use of these quality measures for general application. We think that, with the increasing adoption of electronic medical records, 47,48 standard data elements necessary to generate these measures could be incorporated into an electronic medical record, to collect data at the point of care and to decrease the burden associated with manual chart review.…”

Section: Discussionmentioning

confidence: 99%

Quality of Care for Children Hospitalized With Asthma

et al. 2008

View full text Add to dashboard Cite

show abstract

Section: Discussionmentioning

confidence: 99%

Quality of Care for Children Hospitalized With Asthma

et al. 2008

View full text Add to dashboard Cite

show abstract

“…Rewarding and financial incentives accelerate adoption of computerized physician order entry with clinical decision support systems [31]. Gagnon et al found that social norms are one of the significant predictors of physicians' intention toward medical technology usage [16].…”

Section: Literature Reviewmentioning

confidence: 99%

Exploring the success factors of health information service adoption

Topacan

Başoğlu

Daim

2008

PICMET '08 - 2008 Portland International Conference on Management of Engineering &Amp; Technology

View full text Add to dashboard Cite

Diffusion of electronic services in the medical industry has gather speed with the help of recent developments in the information and communication technologies. Health Information Service is one of these services that deal with repository, retrieval and make use of medical information in order to improve service quality and reduce cost. Usersincluding medical staff, administrative staff and patients -of these systems cannot benefit them in a full capacity unless using them comfortably. Behavior of these adopters is affected by various factors related to both of the technology characteristics, user characteristics, social environment and organizational environment in the adoption process. This research will evaluate determinants of Health Information Service adoption among users and analyze relationship of these determinants with the behavior of the user. Moreover, taxonomy about factors that affect technology usage in medical industry will be developed at the end of the study.

show abstract

“…Non-visit care, such as phone communication and electronic mail, is not generally reimbursed, so strong incentives exist for providers to delay EMR implementation. Rewarding practices for publishing performance reports and mandating specific quality improvement tactics or IT applications could hasten implementation (Miller & Sim, 2004; Simon, Rundall, & Shortell 2007). Financial resources need to be available for under-resourced settings to partner with local organizations, businesses, and government organizations to install EMRs, participate in regional HIEs, and use innovative health IT applications to improve patient outcomes (Goroll, Simon, Tripathi, Ascenzo, & Bates, 2009; McDonald et al, 2005; Mostashari, Tripathi, & Kendall, 2009).…”

Section: Discussionmentioning

confidence: 99%

Review Paper: The Use of Quality Improvement and Health Information Technology Approaches to Improve Diabetes Outcomes in African American and Hispanic Patients

et al. 2010

View full text Add to dashboard Cite

Differences in rates of diabetes-related lower extremity amputations represent one of the largest and most persistent health disparities found for African-Americans and Hispanics compared to whites in the United States. Since many minority patients receive care in under-resourced settings, quality improvement (QI) initiatives in these settings may offer a targeted approach to improve diabetes outcomes in these patient populations. Health information technology (health IT) is widely viewed as an essential component of health care QI and may be useful in decreasing diabetes disparities in under-resourced settings. This article reviews the effectiveness of health care interventions utilizing health IT to improve diabetes process of care and intermediate diabetes outcomes in African-American and Hispanic patients. Health IT interventions have addressed patient, provider, and system challenges in the provision of diabetes care but require further testing in minority patient populations to evaluate their effectiveness in improving diabetes outcomes and reducing diabetes-related complications.

show abstract

Adoption of Order Entry with Decision Support for Chronic Care by Physician Organizations

Cited by 24 publications

References 20 publications

Quality of Care for Children Hospitalized With Asthma

Quality of Care for Children Hospitalized With Asthma

Exploring the success factors of health information service adoption

Review Paper: The Use of Quality Improvement and Health Information Technology Approaches to Improve Diabetes Outcomes in African American and Hispanic Patients

Contact Info

Product

Resources

About