Prescription-writing with a PC

Allen, Scott I.; Johannes, Richard S.; Brown, Crawford S.; Kafonek, David M.; Plexico, Perry S.

doi:10.1016/0169-2607(86)90102-1

Cited by 9 publications

(3 citation statements)

References 4 publications

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“…26 Schroeder and Pierpaoli 27 state that "after 1 or 2 weeks of use, most physicians find that they can enter orders in the computer terminals faster than they could write them by hand." Finally, Allen et al 28 report that order times were 82 seconds for novice users and 18 seconds for expert users in an outpatient prescription writing system. Not only are physicians learning to use the program, they are usually also learning a vocabulary, discovering what the things they want to order are called in the system.…”

Section: Discussionmentioning

confidence: 99%

Controlled Trial of Direct Physician Order Entry: Effects on Physicians' Time Utilization in Ambulatory Primary Care Internal Medicine Practices

Overhage

Perkins

Tierney³

et al. 2001

Journal of the American Medical Informatics Association

176

118

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Section: Discussionmentioning

confidence: 99%

Controlled Trial of Direct Physician Order Entry: Effects on Physicians' Time Utilization in Ambulatory Primary Care Internal Medicine Practices

Overhage

Perkins

Tierney³

et al. 2001

Journal of the American Medical Informatics Association

176

118

View full text Add to dashboard Cite

show abstract

“…Назначения врачей передавались вспомогательным службам, врачи получали результаты анализов и протоколы рентгенологических исследований, планировались мероприятия по уходу за больными, велась документация [8]. Согласно официальному заключению, система TDS эффективно поддерживала обработку всей информации, необходимой для медицинских сестер, врачей и персонала вспомогательных служб, в том числе для служб лечебного питания, медицинской документации, аптеки, лаборатории, рентгенологии, респираторной терапии и канцелярии [9].…”

Section: стоматология 6 2015unclassified

The history of development of medical information systems

Seregin

2015

Stomat.

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История развития медицинских информационных систем а.а. КУлаКОВ, с.с. сеРегИН* центральный научно-исследовательский институт стоматологии и челюстно-лицевой хирургии минздрава России, москва, Россия The history of development of medical information systems a.a. KUlaKOV, s.s. seRegiN Central Research institute of dentistry and maxillofacial surgery, ministery of health of Russian Federation, moscow, Russia Ключевые слова: медицинская информационная система, история развития. Keywords: medical information system, history of evolution. 38. Warner HR, Olmsted CM, Rutherford BD. HELP-a program for medical decision making. Comput Biomed Res. 1972;5:65-74. 39. White KS, Lindsay A, Pryor TA, Brown WF, Walsh K. Application of a computerized medical decision-making process to the problem of digoxin intoxication. J Am Coll Cardiol. 1984;4:571-576.

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“…This methodology has been used previously to examine how HIT can both positively and negatively impact workflow [12,14,15]. Studies have consistently found that HIT use marginally impacts clinicians' workflow and efficiency [9,11,12,14,17]. This methodology has also been used to study pre-and post-implementation of computerized provider order entry (CPOE) in emergency departments [9,18].…”

Section: Introductionmentioning

confidence: 99%

Exploring Dental Providers’ Workflow in an Electronic Dental Record Environment

et al. 2016

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SummaryBackground: A workflow is defined as a predefined set of work steps and partial ordering of these steps in any environment to achieve the expected outcome. Few studies have investigated the workflow of providers in a dental office. It is important to understand the interaction of dental providers with the existing technologies at point of care to assess breakdown in the workflow which could contribute to better technology designs. Objective: The study objective was to assess electronic dental record (EDR) workflows using time and motion methodology in order to identify breakdowns and opportunities for process improvement. Methods: A time and motion methodology was used to study the human-computer interaction and workflow of dental providers with an EDR in four dental centers at a large healthcare organization. A data collection tool was developed to capture the workflow of dental providers and staff while they interacted with an EDR during initial, planned, and emergency patient visits, and at the front desk. Qualitative and quantitative analysis was conducted on the observational data. Results: Breakdowns in workflow were identified while posting charges, viewing radiographs, e-prescribing, and interacting with patient scheduler. EDR interaction time was significantly different between dentists and dental assistants (6:20 min vs. 10:57 min, p = 0.013) and between dentists and dental hygienists (6:20 min vs. 9:36 min, p = 0.003). Conclusions: On average, a dentist spent far less time than dental assistants and dental hygienists in data recording within the EDR.

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Prescription-writing with a PC

Cited by 9 publications

References 4 publications

Controlled Trial of Direct Physician Order Entry: Effects on Physicians' Time Utilization in Ambulatory Primary Care Internal Medicine Practices

Controlled Trial of Direct Physician Order Entry: Effects on Physicians' Time Utilization in Ambulatory Primary Care Internal Medicine Practices

The history of development of medical information systems

Exploring Dental Providers’ Workflow in an Electronic Dental Record Environment

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