Ignite Creation Date:
2024-05-06 @ 3:34 PM
Last Modification Date:
2024-10-26 @ 1:51 PM
Study NCT ID:
NCT04670744
Status:
RECRUITING
Last Update Posted:
2020-12-23
First Post:
2020-12-10
Brief Title:
Identification of Outcome Relevant Indicators in Routine Data
Sponsor:
Charite University Berlin Germany
Organization:
Charite University Berlin Germany
Study Overview
Official Title:
Retrospective Analysis for the Identification of Outcome Relevant Indicators Patterns in Routine Data and Investigation of the Influence on Patient-centered Outcome for a Data-driven Improvement of Quality-based Treatment of Perioperative and Intensive Care Patients
Status:
RECRUITING
Status Verified Date:
2024-10
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
The availability of electronic documentation systems in patient care means that large amounts of clinical routine data are available from which conclusions can be drawn for improving patient care Compared to conventional research approaches a data science-oriented approach offers the possibility of identifying patterns in routine data pattern recognition that are relevant for patient-centered outcomes
Numerous projects and sub-projects can be evaluated from this data set
Numerous projects and sub-projects can be evaluated from this data set
Detailed Description:
The patterns that are relevant for patient-centered outcomes can be combinations of different parameters eg vital signs laboratory values previous illnesses which in themselves do not necessarily have a pathogenic effect but in a specific combination may have a high relevance for the patient-centered outcome
This project pursues as research goal the anesthesiological and intensive care risk reduction To this end the existing data sets of routine care are to be used to identify outcome-relevant patterns in order to derive recommendations for improving treatment in line with the patients wishes Standard Operating Procedures SOPs and Quality Indicators QIs in combination with the data of routine clinical care will be used as a basis The approach outlined is closely linked to the development of quality-based treatment structures In order to be able to offer medical treatment at a high level associated processes must be known and operationalized ie measurable QIs quality indicators are an established instrument for measuring individual dimensions of treatment quality and our clinic is a leading participant in this process at both national and international level see Spies et al Guidelines for Delirium Analgesia and Sedation The mapping of quality-based treatment structures as SOPs Standard Operating Procedures is also essential in this context see Spies et al SOPs in Anesthesiology and Pain Therapy Thieme Verlag By applying data science-based methods this study pursues the overall goal of supporting the transfer of evidence-based findings in the form of QIs and SOPs into patient care
Numerous projects and sub-projects can be evaluated from this data set
This project pursues as research goal the anesthesiological and intensive care risk reduction To this end the existing data sets of routine care are to be used to identify outcome-relevant patterns in order to derive recommendations for improving treatment in line with the patients wishes Standard Operating Procedures SOPs and Quality Indicators QIs in combination with the data of routine clinical care will be used as a basis The approach outlined is closely linked to the development of quality-based treatment structures In order to be able to offer medical treatment at a high level associated processes must be known and operationalized ie measurable QIs quality indicators are an established instrument for measuring individual dimensions of treatment quality and our clinic is a leading participant in this process at both national and international level see Spies et al Guidelines for Delirium Analgesia and Sedation The mapping of quality-based treatment structures as SOPs Standard Operating Procedures is also essential in this context see Spies et al SOPs in Anesthesiology and Pain Therapy Thieme Verlag By applying data science-based methods this study pursues the overall goal of supporting the transfer of evidence-based findings in the form of QIs and SOPs into patient care
Numerous projects and sub-projects can be evaluated from this data set
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None