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      Impact of Provider Prior Use of HIE on System Complexity, Performance, Patient Care, Quality and System Concerns

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          Abstract

          To date, most HIE studies have investigated user perceptions of value prior to use. Few studies have assessed factors associated with the value of HIE through its actual use. This study investigates provider perceptions on HIE comparing those who had prior experience vs those who had no experience with it. In so doing, we identify six constructs: prior use, system complexity, system concerns, public/population health, care delivery, and provider performance. This study uses a mixed methods approach to data collection. From 15 interviews of medical community leaders, a survey was constructed and administered to 263 clinicians. Descriptive statistics and analysis of variance was used, along with Tukey HSD tests for multiple comparisons. Results indicated providers whom previously used HIE had more positive perceptions about its benefits in terms of system complexity ( p = .001), care delivery ( p = .000), population health ( p = .003), and provider performance ( p = .005); women providers were more positive in terms of system concerns ( p = .000); patient care ( p = .031), and population health ( p = .009); providers age 44–55 were more positive than older and younger groups in terms of patient care ( p = .032), population health ( p = .021), and provider performance ( p = .014); while differences also existed across professional license groups (physician, nurse, other license, admin (no license)) for all five constructs ( p < .05); and type of organization setting (hospital, ambulatory clinic, medical office, other) for three constructs including system concerns ( p = .017), population health ( p = .018), and provider performance (p = .018). There were no statistically significant differences found between groups based on a provider’s role in an organization (patient care, administration, teaching/research, other). Different provider perspectives about the value derived from HIE use exist depending on prior experience with HIE, age, gender, license (physician, nurse, other license, admin (no license)), and type of organization setting (hospital, ambulatory clinic, medical office, other). This study draws from the theory of planned behavior to understand factors related to physicians’ perceptions about HIE value, serving as a departure point for more detailed investigations of provider perceptions and behavior in regard to future HIE use and promoting interoperability.

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          Are Individual Differences Germane to the Acceptance of New Information Technologies?

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                Author and article information

                Contributors
                suefeldman1009@gmail.com
                Journal
                Inf Syst Front
                Inf Syst Front
                Information Systems Frontiers
                Springer US (New York )
                1387-3326
                1572-9419
                23 September 2020
                : 1-11
                Affiliations
                [1 ]GRID grid.265892.2, ISNI 0000000106344187, University of Alabama at Birmingham, ; 1716 9th Avenue So. SHPB 590K, Birmingham, AL 35294 USA
                [2 ]GRID grid.254567.7, ISNI 0000 0000 9075 106X, University of South Carolina, ; 550 Assembly Street, #1300, Columbia, SC 29208 USA
                Author information
                http://orcid.org/0000-0002-1173-3993
                Article
                10064
                10.1007/s10796-020-10064-x
                7508630
                2051e31d-38b7-43a8-8131-40b91592a4c7
                © Springer Science+Business Media, LLC, part of Springer Nature 2020

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 9 September 2020
                Categories
                Article

                health information exchange,medical informatics,clinical informatics

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