1. [Measurement of Quality with Routine Data].
- Author
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Lang SJ, Rilk R, Müller AF, Luebke J, Böhringer D, and Reinhard T
- Subjects
- Delivery of Health Care legislation & jurisprudence, Germany, Hospital Records legislation & jurisprudence, Humans, International Classification of Diseases legislation & jurisprudence, International Classification of Diseases standards, Ophthalmology legislation & jurisprudence, Quality Assurance, Health Care legislation & jurisprudence, Quality Indicators, Health Care legislation & jurisprudence, Waiting Lists, Delivery of Health Care standards, Hospital Records standards, Ophthalmology standards, Quality Assurance, Health Care standards, Quality Indicators, Health Care standards
- Abstract
There is a growing interest in quality measurement in the healthcare sector. Hospitals in Germany are obligated to participate in measures for external quality assurance and they must establish an internal quality management system. In addition to the legal requirements, measurement of quality is also possible with routine data. Suitable sources are the ICD system or unstandardized information from treatment documentation. The selection of suitable quality indicators is necessary to interpret the data. Complications or achievement of surgical objectives can be suitable quality indicators. Analysis of procedures or the assessment of waiting time are also possible indicators. Our first data concerning waiting time show that with increasing use of an electronic patient guidance system, the waiting time decreased in our outpatient department. Assessment of quality indicators from routine data enables a continuous measurement of quality over a long period. Measures to increase quality can easily be checked. Routine data also provide the possibility to participate in a public reporting of quality indicators., Competing Interests: Interessenkonflikt: Die Autoren geben an, dass kein Interessenkonflikt besteht., (Georg Thieme Verlag KG Stuttgart · New York.)
- Published
- 2017
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