Telehealth: the need for evaluation.
Author(s): Masys, D R
DOI: 10.1136/jamia.1997.0040069
Author(s): Masys, D R
DOI: 10.1136/jamia.1997.0040069
A national survey conducted for the Office of Rural Health Policy in 1995 identified 558 participants in rural telemedicine; 499 (89%) responded to a detailed follow-up survey to describe type of use. While 84% of respondents reported using interactive video, only 25% reported access to e-mail for exchange of data. The challenge to medical informatics is to connect dispersed providers, not just with videoconferencing, but also with other information-sharing methods.
Author(s): Hassol, A, Gaumer, G, Irvin, C, Grigsby, J, Mintzer, C, Puskin, D
DOI: 10.1136/jamia.1997.0040036
The growing public interest in health and wellness information stems from many sources, including social changes related to consumers' rights and women's health movements, and economic changes brought about by the managed health care revolution. Public, hospital, and medical center libraries have been ill-equipped to meet the increasing need for consumer-oriented materials, even though a few notable programs have been established. The "Information Superhighway" could be an effective tool for [...]
Author(s): Morris, T A, Guard, J R, Marine, S A, Schick, L, Haag, D, Tsipis, G, Kaya, B, Shoemaker, S
DOI: 10.1136/jamia.1997.0040006
Data in computer-based patient records (CPRs) have many uses beyond their primary role in patient care, including research and health-system management. Although the accuracy of CPR data directly affects these applications, there has been only sporadic interest in, and no previous review of, data accuracy in CPRs. This paper reviews the published studies of data accuracy in CPRs. These studies report highly variable levels of accuracy. This variability stems from [...]
Author(s): Hogan, W R, Wagner, M M
DOI: 10.1136/jamia.1997.0040342
Develop the methodological foundation for interactive use of Markov process decision models by patients and physicians at the bedside.
Author(s): Cher, D J, Lenert, L A
DOI: 10.1136/jamia.1997.0040301
Clinical decision making is driven by information in the form of patient data and clinical knowledge. Currently prevalent systems used to store and retrieve this information have high failure rates, which can be traced to well-established system constraints. The authors use an industrial process model of clinical decision making to expose the role of these constraints in increasing variability in the delivery of relevant clinical knowledge and patient data to [...]
Author(s): Elson, R B, Faughnan, J G, Connelly, D P
DOI: 10.1136/jamia.1997.0040266
United States health care is engaged in an ambitious project to make its clinical and administrative records "100% electronic." Substantial benefits are expected in both clinical care delivery and medical research (especially for public health surveillance and outcomes/effectiveness studies). Substantial costs also potentially accrue, beyond the large outlays for an expanded computer and telecommunications infrastructure. Privacy and confidentiality are obviously at risk if such systems cannot be made secure. Limited [...]
Author(s): Cushman, R
DOI: 10.1136/jamia.1997.0040259
To compare three potential sources of controlled clinical terminology (READ codes version 3.1, SNOMED International, and Unified Medical Language System (UMLS) version 1.6) relative to attributes of completeness, clinical taxonomy, administrative mapping, term definitions and clarity (duplicate coding rate).
Author(s): Campbell, J R, Carpenter, P, Sneiderman, C, Cohn, S, Chute, C G, Warren, J
DOI: 10.1136/jamia.1997.0040238
Our premise is that from the perspective of maximum flexibility of data usage by computer-based record (CPR) systems, existing nursing classification systems are necessary, but not sufficient, for representing important aspects of "what nurses do." In particular, we have focused our attention on those classification systems that represent nurses' clinical activities through the abstraction of activities into categories of nursing interventions. In this theoretical paper, we argue that taxonomic, combinatorial [...]
Author(s): Henry, S B, Mead, C N
DOI: 10.1136/jamia.1997.0040222
Information contained in medical images differs considerably from that residing in alphanumeric format. The difference can be attributed to four characteristics: (1) the semantics of medical knowledge extractable from images is imprecise; (2) image information contains form and spatial data, which are not expressible in conventional language; (3) a large part of image information is geometric; (4) diagnostic inferences derived from images rest on an incomplete, continuously evolving model of [...]
Author(s): Tagare, H D, Jaffe, C C, Duncan, J
DOI: 10.1136/jamia.1997.0040184