PubMed · 15493651
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Joseph E Scherger. 2004-09-17. E-mail "visits" can save you time.. https://pubmed.ncbi.nlm.nih.gov/15493651/
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BACKGROUND: Electronic mail (email) has the potential to improve communication between physicians and patients. METHODS: We conducted two research studies in a family practice setting: 1) a brief, anonymous patient survey of a convenience sample to determine the number of clinic patients receptive to communicating with their physician via email, and 2) a randomized, controlled pilot study to assess the feasibility of providing health education via email to family practice patients. RESULTS: Sixty-eight percent of patients used email, and the majority of those (80%) were interested in using email to communicate with the clinic. The majority also reported that their email address changed less frequently than their home address (65%, n = 173) or telephone number (68%, n = 181). Forty-two percent were willing to pay an out-of-pocket fee to have email access to their physicians. When evaluating email initiated by the clinic, 26% of otherwise eligible patients could not participate because they lacked email access; those people were more likely to be black and to be insured through Medicaid. Twenty-four subjects agreed to participate, but one-third failed to return the required consent form by mail. All participants who received the intervention emails said they would like to receive health education emails in the future. CONCLUSION: Our survey results show that patients are interested in email communication with the family practice clinic. Our feasibility study also illustrates important challenges in physician-initiated electronic communication. The 'digital divide' - decreased access to electronic technologies in lower income groups - is an ethical concern in the use of email for patient-physician communication.
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Social networks evolve over time, driven by the shared activities and affiliations of their members, by similarity of individuals' attributes, and by the closure of short network cycles. We analyzed a dynamic social network comprising 43,553 students, faculty, and staff at a large university, in which interactions between individuals are inferred from time-stamped e-mail headers recorded over one academic year and are matched with affiliations and attributes. We found that network evolution is dominated by a combination of effects arising from network topology itself and the organizational structure in which the network is embedded. In the absence of global perturbations, average network properties appear to approach an equilibrium state, whereas individual properties are unstable.