OBJECTIVES: To describe health information exchange (HIE) use and providers' perceptions of value in a public healthcare system using a commercial electronic health record (EHR). STUDY DESIGN: Observational study of HIE implementation and cross-sectional provider survey. METHODS: We identified characteristics (age, gender, race/ethnicity, insurance type, comorbid conditions) and the care setting (primary care; emergency department [ED] or inpatient care; or specialty care) for patients with and without HIE. Associations between patient characteristics and HIE were examined using a multivariate logistic regression. Provider perceptions were assessed via confidential survey. RESULTS: During its first 14 months, 11,960 HIEs occurred among 9399 patients. Rates of HIE use were 13/1000 visits overall (20/1000 in primary care, 36/1000 in the ED/inpatient setting, and 5/1000 in specialty settings [P <.001]). Patients with HIE were older, more often female, African American, had more chronic conditions, and more often had Medicaid or Medicare insurance (P <.001). HIE was used least among commercially insured (odds ratio, 0.78, 95% confidence interval,0.73-0.83, compared with uninsured). Among the 18% (74/412) of survey respondents, 93% "disagreed/strongly disagreed" that obtaining consent was difficult and 97% reported no patient refusals. Respondents "agreed/strongly agreed" that HIE fostered more efficient care (93%), saved time (85%), decreased laboratory (84%) and imaging (74%) use, and 15% stated that HIE prevented an unnecessary admission. CONCLUSION: Early HIE use varied by care setting, patient characteristics, and insurance. Providers perceived HIE acceptable to patients, and helpful in avoiding redundant testing and unnecessary hospitalizations. Lower HIE use among commercially insured patients reinforces concerns that financial incentives may inhibit adoption.
OBJECTIVES: To describe health information exchange (HIE) use and providers' perceptions of value in a public healthcare system using a commercial electronic health record (EHR). STUDY DESIGN: Observational study of HIE implementation and cross-sectional provider survey. METHODS: We identified characteristics (age, gender, race/ethnicity, insurance type, comorbid conditions) and the care setting (primary care; emergency department [ED] or inpatient care; or specialty care) for patients with and without HIE. Associations between patient characteristics and HIE were examined using a multivariate logistic regression. Provider perceptions were assessed via confidential survey. RESULTS: During its first 14 months, 11,960 HIEs occurred among 9399 patients. Rates of HIE use were 13/1000 visits overall (20/1000 in primary care, 36/1000 in the ED/inpatient setting, and 5/1000 in specialty settings [P <.001]). Patients with HIE were older, more often female, African American, had more chronic conditions, and more often had Medicaid or Medicare insurance (P <.001). HIE was used least among commercially insured (odds ratio, 0.78, 95% confidence interval,0.73-0.83, compared with uninsured). Among the 18% (74/412) of survey respondents, 93% "disagreed/strongly disagreed" that obtaining consent was difficult and 97% reported no patient refusals. Respondents "agreed/strongly agreed" that HIE fostered more efficient care (93%), saved time (85%), decreased laboratory (84%) and imaging (74%) use, and 15% stated that HIE prevented an unnecessary admission. CONCLUSION: Early HIE use varied by care setting, patient characteristics, and insurance. Providers perceived HIE acceptable to patients, and helpful in avoiding redundant testing and unnecessary hospitalizations. Lower HIE use among commercially insured patients reinforces concerns that financial incentives may inhibit adoption.
Authors: Emily Beth Devine; Annette M Totten; Paul Gorman; Karen B Eden; Steven Kassakian; Susan Woods; Monica Daeges; Miranda Pappas; Marian McDonagh; William R Hersh Journal: EGEMS (Wash DC) Date: 2017-12-07
Authors: N Lance Downing; Julia Adler-Milstein; Jonathan P Palma; Steven Lane; Matthew Eisenberg; Christopher Sharp; Christopher A Longhurst Journal: J Am Med Inform Assoc Date: 2016-06-14 Impact factor: 4.497
Authors: Yasir Tarabichi; Adam Frees; Steven Honeywell; Courtney Huang; Andrew M Naidech; Jason H Moore; David C Kaelber Journal: ACI open Date: 2021-01