title: [Electronic drug prescription - auto pilot for drug therapy?].
abstract: In tertiary care, computerized physician order entries may improve performance, cross-linking, and documentation when prescribing drugs. A clinical decision support integrated in these systems is discussed to prevent additional medication errors. For an optimal performance, the implementation into the clinical information systems is required to gain access to patient data (e. g. from laboratory). In routine care, the question rises whether a benefit of the systems can be proven in clinical studies and whether there is a difference between the systems. To achieve optimal results, these systems should also consider specific requirements, i. e. the patient groups and prescribed drugs in the local setting. We performed a systematic literature evaluation searching for published data in the topic electronic prescribing to assess them in a structured analysis considering medical-pharmaceutical aspects. Additionally, we assessed three databases in German language and one in English language taking drug-drug-interactions as an example to compare the identification of drug-related problems. Medication data from our own patients in a paediatric intensive care unit of a university hospital were analysed by the systems. Our results revealed strengths but also limitations of electronic prescribing.
authors.forename: Sten
authors.initials: S
authors.lastname: Schubert
authors.forename: Martina Patrizia
authors.initials: MP
authors.lastname: Neininger
authors.forename: Stefan
authors.initials: S
authors.lastname: Smers
authors.forename: Alfred
authors.initials: A
authors.lastname: Winter
authors.forename: Roberto
authors.initials: R
authors.lastname: Frontini
authors.forename: Astrid
authors.initials: A
authors.lastname: Bertsche
authors.forename: Thilo
authors.initials: T
authors.lastname: Bertsche
mesh_terms: D002648:Child; D004282:Documentation; D004358:Drug Therapy / Q000639:trends*; D055695:Electronic Prescribing; D006801:Humans; D050316:Medical Order Entry Systems / Q000639:trends*; D008508:Medication Errors / Q000517:prevention & control