Machine Learning and Artificial Intelligence Algorithms to Optimize the Performance and Delivery of Acute Dialysis
NCT07312929
Female Urogenital Diseases, Female Urogenital Diseases and Pregnancy Complications
View Trial DetailsNCT Number: NCT07157280
The study examines whether midwives and doctors are familiar with quality indicators in clinical obstetrics and whether these are used as a tool for continuous improvement process.
Trial opening soon.
Get Notified18 year and older
All sexes
Observational
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: 1 year
Number of measures taken based on the publication of quality assurance reports
Martin-Luther-Universität Halle-Wittenberg
Other
Quality Indicators as a Tool for Continuous Improvement Process in Clinical Obstetrics
Acronym: QUIG
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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