Title |
Towards successful coordination of electronic health record based-referrals: a qualitative analysis
|
---|---|
Published in |
Implementation Science, July 2011
|
DOI | 10.1186/1748-5908-6-84 |
Pubmed ID | |
Authors |
Sylvia J Hysong, Adol Esquivel, Dean F Sittig, Lindsey A Paul, Donna Espadas, Simran Singh, Hardeep Singh |
Abstract |
Successful subspecialty referrals require considerable coordination and interactive communication among the primary care provider (PCP), the subspecialist, and the patient, which may be challenging in the outpatient setting. Even when referrals are facilitated by electronic health records (EHRs) (i.e., e-referrals), lapses in patient follow-up might occur. Although compelling reasons exist why referral coordination should be improved, little is known about which elements of the complex referral coordination process should be targeted for improvement. Using Okhuysen & Bechky's coordination framework, this paper aims to understand the barriers, facilitators, and suggestions for improving communication and coordination of EHR-based referrals in an integrated healthcare system. |
Twitter Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 2% |
Malaysia | 1 | <1% |
Ireland | 1 | <1% |
Indonesia | 1 | <1% |
Canada | 1 | <1% |
Sierra Leone | 1 | <1% |
Unknown | 160 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 39 | 23% |
Researcher | 34 | 20% |
Student > Ph. D. Student | 23 | 14% |
Student > Postgraduate | 10 | 6% |
Student > Doctoral Student | 9 | 5% |
Other | 26 | 15% |
Unknown | 28 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 64 | 38% |
Social Sciences | 20 | 12% |
Computer Science | 13 | 8% |
Nursing and Health Professions | 12 | 7% |
Psychology | 7 | 4% |
Other | 22 | 13% |
Unknown | 31 | 18% |