2007
DOI: 10.1097/acm.0b013e31802d8f68
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Academic Health Center Management of Chronic Diseases through Knowledge Networks: Project ECHO

Abstract: The authors describe an innovative academic health center (AHC)-led program of health care delivery and clinical education for the management of complex, common, and chronic diseases in underserved areas, using hepatitis C virus (HCV) as a model. The program, based at the University of New Mexico School of Medicine, represents a paradigm shift in thinking and funding for the threefold mission of AHCs, moving from traditional fee-for-service models to public health funding of knowledge networks. This program, P… Show more

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Cited by 205 publications
(184 citation statements)
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“…The VHA is implementing a new model of telemedicine care, based on New Mexico's Project ECHO (Extension for Community Healthcare Outcomes) telemedicine program that would consolidate liver telemedicine care into one provider to provider visit [42][43][44]. The model is based on case-based learning like a tumor board conference whereby primary care providers dialing in from multiple outpatient clinics present a patient's case to the specialists and discuss options for management.…”
Section: Case Study: Application Of the Hybrid Conceptual Framework Cmentioning
confidence: 99%
See 1 more Smart Citation
“…The VHA is implementing a new model of telemedicine care, based on New Mexico's Project ECHO (Extension for Community Healthcare Outcomes) telemedicine program that would consolidate liver telemedicine care into one provider to provider visit [42][43][44]. The model is based on case-based learning like a tumor board conference whereby primary care providers dialing in from multiple outpatient clinics present a patient's case to the specialists and discuss options for management.…”
Section: Case Study: Application Of the Hybrid Conceptual Framework Cmentioning
confidence: 99%
“…As the Project SCAN-ECHO requires collaboration between primary and specialty care, in which the specialist is "mentoring" primary care physicians on HCV management, context exploration could determine important characteristics of the mentoring specialist which facilitated a collaborative and team-based approach. Borrowing lessons learned from the contextual elements of the New Mexico-based Project SCAN-ECHO could include terming specialty and primary care coordinated care as "learning loops" or "collaborative groups" to reinforce the team-based, dialectical approach to care [43,44]. Contextual assessment would strongly influence the early processes of implementation by simultaneously developing the optimal organizational and clinical environment for the intervention and tailoring the intervention with the contextual environment.…”
Section: Contextmentioning
confidence: 99%
“…The heart of the ECHO model is "hub and spoke" knowledge sharing network linking expert interdisciplinary specialist teams located at academic medical centres (hub) with PCPs in rural and underserved areas (spokes) virtually through tele-ECHO clinics, where experts mentor and share their expertise via case-based learning, enabling PCPs to develop the ability to treat patients with complex conditions in their own communities (Fig. 3&4) [4].…”
Section: Methodsmentioning
confidence: 99%
“…One model, The Extension for Community Healthcare Outcomes (ECHO) Model was developed by the University of N e w M e x i c o H e a l t h S c i e n c e s C e n t e r t o d e liver complex specialty medical care to underserved populations (Arora et al, 2007;Arora et al, 2010). The ECHO model was first developed for the management of HCV.…”
Section: Current Researchmentioning
confidence: 99%
“…The ECHO model was first developed for the management of HCV. ECHO provides health care delivery and clinical education to rural primary care practitioners via video conferencing (Arora et al 2007). The ECHO model uses "telehealth technology, best practice protocols, and case-based learning" to train and support primary care providers in the development of their knowledge and selfefficacy for managing chronic diseases (Arora et al, 2010).…”
Section: Current Researchmentioning
confidence: 99%