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Interventional Diagnostic Procedure: A Practical Guide for the Assessment of Coronary Vascular Function
Published on: March 15, 2022
[Quality assurance in interventional cardiology]
1Herzzentrum, Universitätsklinikum Wuppertal. wuppertal-helios-kliniken.de
Insights
Quality assurance in interventional cardiology lacks external controls, relying on unverified data registers. Robust infrastructure and investment are crucial for reliable quality data to improve cardiovascular medicine standards.
Area of Science:
- Cardiovascular Medicine
- Medical Quality Assurance
Context:
- Pharmaceutical product approval involves stringent quality assurance, unlike interventional cardiology.
- Current quality assurance in interventional cardiology relies on basic, unverified data registers.
- Lack of comparative quality instruments hinders standardization in cardiovascular medicine.
Purpose:
- To highlight the deficiencies in quality assurance within interventional cardiology.
- To emphasize the need for externally controlled quality data.
- To underscore the necessity of infrastructure and investment for quality data collection.
Summary:
- Interventional cardiology lacks the rigorous quality assurance seen in pharmaceutical studies.
- Existing data registers are not externally controlled and may be flawed.
- Essential aspects affecting quality include decision-making, technical performance, and aftercare.
Impact:
- Flawed data prevents setting reliable standards for diagnostic and therapeutic strategies.
- The absence of infrastructure and investment impedes the collection of verifiable quality data.
- Without improvements, data registers cannot ensure or enhance quality in interventional cardiology.
Abstract:
Quality assurance in clinical studies aiming at approval of pharmaceutical products is submitted to strict rules, controls and auditing regulations. Comparative instruments to ensure quality in diagnostic and therapeutic procedures are not available in interventional cardiology, likewise in other fields of cardiovascular medicine. Quality assurance simply consists of "quality registers" with basic data not externally controlled. Based on the experiences of clinical studies and their long history of standardization it is assumed that these data may be severely flawed thus being inappropriate to set standards for diagnostic and therapeutic strategies. The precondition for quality assurance are quality data. In invasive coronary angiography and intervention medical indications, the decision making process interventional versus surgical revascularization, technical performance and after - care are essential aspects affecting quality of diagnostics and therapy. Quality data are externally controlled data. To collect quality data an appropriate infrastructure is a necessary precondition which is not existent. For an appropriate infrastructure investments have to be done both to build up as well as to sustain the necessary preconditions. As long as there are no infrastructure and no investments there will be no "quality data". There exist simply registers of data which are not proved to be a basis for significant assurance and enhancement in quality in interventional coronary cardiology.
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