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1.
Int J Med Inform ; 93: 14-25, 2016 09.
Artigo em Inglês | MEDLINE | ID: mdl-27435943

RESUMO

BACKGROUND: Recent studies show that many patients are harmed due to missing or erroneous information on prescribed and taken medication. Many countries are thus introducing eHealth solutions to improve the availability of this medication information on a national scale (often called "e-medication"). The objective of this study is to analyse and compare the national e-medication solutions just being introduced in Germany, Switzerland and Austria. METHODS: Information on the situation in the three countries was collected within an expert group and complemented by an analysis of recent literature and legislation in each country. RESULTS: All three countries formulate comparable goals for the national eHealth solutions, focusing on improving medication safety. All three countries do not have a national e-prescription system. In all three countries, the implementation process was slower than expected and e-medication is not yet fully available. Differences of the three countries exist regarding chosen architectures, used standards, offered functionalities, and degree of voluntariness of participation. CONCLUSION: Nationwide e-medication systems and cross-border harmonization are acknowledged as important goals towards medication safety, but they develop slowly mainly due to privacy and security requirements, the need for law amendments and last but not least political interests.


Assuntos
Prescrição Eletrônica/normas , Conhecimentos, Atitudes e Prática em Saúde , Erros de Medicação/prevenção & controle , Sistemas de Medicação/organização & administração , Áustria , Alemanha , Humanos , Farmacêuticos , Médicos , Inquéritos e Questionários , Suíça
2.
Br J Clin Pharmacol ; 76 Suppl 1: 69-77, 2013 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-23586589

RESUMO

AIMS: Computer-assisted signal generation is an important issue for the prevention of adverse drug reactions (ADRs). However, due to poor standardization of patients' medical data and a lack of computable medical drug knowledge the specificity of computerized decision support systems for early ADR detection is too low and thus those systems are not yet implemented in daily clinical practice. We report on a method to formalize knowledge about ADRs based on the Summary of Product Characteristics (SmPCs) and linking them with structured patient data to generate safety signals automatically and with high sensitivity and specificity. METHODS: A computable ADR knowledge base (ADR-KB) that inherently contains standardized concepts for ADRs (WHO-ART), drugs (ATC) and laboratory test results (LOINC) was built. The system was evaluated in study populations of paediatric and internal medicine inpatients. RESULTS: A total of 262 different ADR concepts related to laboratory findings were linked to 212 LOINC terms. The ADR knowledge base was retrospectively applied to a study population of 970 admissions (474 internal and 496 paediatric patients), who underwent intensive ADR surveillance. The specificity increased from 7% without ADR-KB up to 73% in internal patients and from 19.6% up to 91% in paediatric inpatients, respectively. CONCLUSIONS: This study shows that contextual linkage of patients' medication data with laboratory test results is a useful and reasonable instrument for computer-assisted ADR detection and a valuable step towards a systematic drug safety process. The system enables automated detection of ADRs during clinical practice with a quality close to intensive chart review.


Assuntos
Efeitos Colaterais e Reações Adversas Relacionados a Medicamentos/diagnóstico , Bases de Conhecimento , Farmacovigilância , Diagnóstico Precoce , Humanos
3.
Stud Health Technol Inform ; 169: 325-9, 2011.
Artigo em Inglês | MEDLINE | ID: mdl-21893766

RESUMO

We describe reorganization steps and the required technical infrastructure to support a multidisciplinary research project aimed at improving the safety of drug therapy in an emergency department (ED) of a community hospital. Assessment of drug safety required consolidation of data from various sources in a single source approach. We solved this by transferring digital data from the hospital information system (HIS) and attached clinical systems into a pseudonymized study database (secuTrial), which is also used as a web based data capturing tool to rate drug associated risk situations, extended by a technical extension for dynamic upload of further data. Paper-based documentation in the ED was digitized using a digital pen technology.


Assuntos
Tratamento Farmacológico/métodos , Erros de Medicação/prevenção & controle , Sistemas de Informação em Farmácia Clínica , Coleta de Dados , Serviço Hospitalar de Emergência/organização & administração , Alemanha , Sistemas de Informação Hospitalar , Hospitais Comunitários/organização & administração , Hospitais Gerais , Humanos , Sistemas Computadorizados de Registros Médicos , Segurança do Paciente
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