Measurement of Quality with Routine Data

被引:6
作者
Lang, Stefan J. [1 ]
Rilk, Robert [2 ]
Mueller, Alida Friederike [2 ]
Luebke, Jan [1 ]
Boehringer, Daniel [1 ]
Reinhard, Thomas [1 ]
机构
[1] Albert Ludwigs Univ Freiburg Breisgau, Univ Klinikum Freiburg, Klin Augenheilkunde, Fak Med, Killianstr 5, D-79106 Freiburg, Germany
[2] Univ Klinikum Freiburg Breisgau, Stabsstelle Zent Qualitatsmanagement Klinikumsvor, Freiburg, Germany
关键词
quality management; measurement of quality; routine data; waiting time; ADMINISTRATIVE DATA; INDICATORS;
D O I
10.1055/s-0043-106307
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
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.
引用
收藏
页码:891 / 893
页数:3
相关论文
共 12 条
  • [1] Five years of peer reviewing in the Quality Medicine Initiative
    Eberlein-Gonska, Maria
    Budic, Anita
    Winklmair, Claudia
    Petzold, Thomas
    [J]. ZEITSCHRIFT FUR EVIDENZ FORTBILDUNG UND QUALITAET IM GESUNDHEITSWESEN, 2015, 109 (9-10): : 450 - 459
  • [2] Current status and future development of the project "Quality Assurance using Administrative Data" (QSR)
    Heller, G.
    [J]. DEUTSCHE MEDIZINISCHE WOCHENSCHRIFT, 2009, 134 : S315 - S315
  • [3] Klinik fur Augenheilkunde Universitatsklinikum Freiburg. Jahresbericht, 2015, JAHR 2015
  • [4] Ophthalmic Patient Data Registries: Defining and Improving Quality and Outcomes
    Kohanim, Sahar
    Sternberg, Paul, Jr.
    [J]. OPHTHALMOLOGY, 2014, 121 (03) : 619 - 621
  • [5] Patient Safety Indicators for Judging Hospital Performance: Still Not Ready for Prime Time
    Kubasiak, John C.
    Francescatti, Amanda B.
    Behal, Raj
    Myers, Jonathan A.
    [J]. AMERICAN JOURNAL OF MEDICAL QUALITY, 2017, 32 (02) : 129 - 133
  • [6] Freiburger Keratoconus Register Example of the Usage of Smart Data for clinical Research and first Results
    Lang, S. J.
    Boehringer, D.
    Reinhard, T.
    [J]. OPHTHALMOLOGE, 2016, 113 (06): : 457 - +
  • [7] Are hospital administrative data suitable for external quality assurance? Comparison of quality indicators based on separate statutory data collections (BQS) and hospital administrative data
    Maass, C.
    Schleiz, W.
    Weyermann, M.
    Droesler, S. E.
    [J]. DEUTSCHE MEDIZINISCHE WOCHENSCHRIFT, 2011, 136 (09) : 409 - 414
  • [8] Hospital quality measurement - What matters?
    Mansky, Thomas
    Nimptsch, Ulrike
    [J]. ZEITSCHRIFT FUR EVIDENZ FORTBILDUNG UND QUALITAET IM GESUNDHEITSWESEN, 2014, 108 (8-9): : 487 - 494
  • [9] Disease-specific patterns of hospital care in Germany analyzed via the German Inpatient Quality Indicators (G-IQI)
    Nimptsch, U.
    Mansky, T.
    [J]. DEUTSCHE MEDIZINISCHE WOCHENSCHRIFT, 2012, 137 (28-29) : 1449 - 1457
  • [10] Perspektive Klakow-Franck R., 2014, Z EVID FORTBILD QUAL, V108, P456