Drivers of Electronic Medical Record Adoption Among Medical Groups

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

doi:10.1016/s1553-7250(05)31081-6

Cited by 33 publications

(25 citation statements)

References 17 publications

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“…Each of the three multivariate models included a constant set of independent control variables to account for physician demographic factors and practice characteristics that may influence adoption of IT and/or satisfaction (Audet et al, 2004;Carney et al, 2004;Simon, Rundall, & Shortell, 2005). Specifically, each model controlled for practice type, practice size, physician training, and physician age.…”

Section: Methodsmentioning

confidence: 99%

The role of information technology usage in physician practice satisfaction

Menachemi

Powers

Brooks

2009

Health Care Management Review

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Section: Methodsmentioning

confidence: 99%

The role of information technology usage in physician practice satisfaction

Menachemi

Powers

Brooks

2009

Health Care Management Review

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show abstract

“…One of the goals of broader HIT use in general is to make U.S. health care more affordable and sustainable (Taylor et al 2005) (Chen et al 2009) and VHA (remote patient monitoring and Vista EHR) (Byrne et al 2010). These large systems have the financial and human resources (Simon et al 2005), as well as the aligned financial incentives, to overcome challenges in the diffusion process. For some technologies, such as EHRs and remote patient monitoring, partnering with a provider is often necessary for the patient to be able to use the technology.…”

Section: Section II Diffusion Strategies: Important Actions For Collmentioning

confidence: 99%

The ADOPT Model: Accelerating Diffusion of Proven Technologies for Older Adults

Wang

Redington²,

Steinmetz³

et al. 2010

Ageing Int

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The growing older adult population faces unprecedented health challenges. Home and community-based technologies have proven to be an effective way of helping older adults improve health outcomes and maintain independence. However, such technologies are currently not widely used by older adults for health purposes. Nor have they been widely adopted by the providers serving older adults; to date, successful health technology diffusion has occurred mainly within capitated and integrated health systems, such as the Veterans Health Administration (VHA) and Kaiser Permanente (KP). This article presents a conceptual model of technology diffusion, ADOPT (Accelerating Diffusion of Proven Technologies), which discusses important considerations for diffusing health technologies in home and community-based settings for older adults. At the center of the ADOPT model is a framework that highlights factors that affect technology adoption and use relevant to older adults, their collaborators, and their context. The model then overlays seven important "diffusion strategies" that older adults' collaborators (including technology companies, aging services organizations, formal/informal caregivers, family members, medical providers, insurance companies, and others) can undertake to help facilitate technology diffusion. The goal of this article is to introduce the ADOPT model to guide older adults' collaborators in achieving greater technology diffusion, in order to create widespread health outcome improvements and promote independent living for this population.

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“…First are shared goals that exist in the group and staff model practices and use of teams that facilitate implementation of quality improvement practices (Shortell and Schmittdiel 2004;Wagner 2004). Second is the greater presence of clinical electronic information technology and related tools to improve care and track patients over time in group and staff models (Casalino et al 2003a;Miller, Hillman, and Given 2004a;Miller and Sim 2004b;Simon, Rundall, and Shortell 2005). These tools also increase the practice's ability to transfer knowledge from one care provider to another and increase the practice's learning capacity.…”

Section: Conceptual Frameworkmentioning

confidence: 99%

The Impact of Health Plan Delivery System Organization on Clinical Quality and Patient Satisfaction

Gillies¹,

Chenok²,

Shortell³

et al. 2006

Health Serv Res

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Objectives. The purpose of this study was to examine the extent to which measures of health plan clinical performance and measures of patient perceptions of care are associated with health plan organizational characteristics, including the percentage of care provided based on a group or staff model delivery system, for-profit (tax) status, and affiliation with a national managed care firm. Data Sources. Data describing health plans on region, age of health plan, for-profit status, affiliation with a national managed care firm, percentage of Medicare business, total enrollment, ratio of primary care physicians to specialists, HMO penetration, and form of health care delivery system (e.g., IPA, network, mixed, staff, group) were obtained from InterStudy. Clinical performance measures for women's health screening rates, child and adolescent immunization rates, heart disease screening rates, diabetes screening rates, and smoking cessation were developed from HEDIS s data. Measures of patient perceptions of care are obtained from CAHPS s survey data submitted as Healthplan Employer Data and Information Set, Consumer Assessment of Health Plans 2.0 H. Study Design. Multivariate regression cross-sectional analysis of 272 health plans was used to evaluate the relationship of health plan characteristics with measures of clinical performance and patient perceptions of care. Principal Findings. The form of delivery system, measured by percent of care delivered by staff and group model systems, is significantly related ( p .05) with four of the five clinical performance indices but none of the three satisfaction performance indices. Other variables significantly associated with performance were being geographically located in the Northeast, having nonprofit status, and for patient satisfaction, not being part of a larger insurance company. Conclusions. These comparative results provide evidence suggesting that the type of delivery system used by health plans is related to many clinical performance measures but is not related to patient perceptions of care. These findings underscore the importance of the form of the delivery system and the need for further inquiry that examines the relationship between organizational form and performance.

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Drivers of Electronic Medical Record Adoption Among Medical Groups

Cited by 33 publications

References 17 publications

The role of information technology usage in physician practice satisfaction

The role of information technology usage in physician practice satisfaction

The ADOPT Model: Accelerating Diffusion of Proven Technologies for Older Adults

The Impact of Health Plan Delivery System Organization on Clinical Quality and Patient Satisfaction

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