[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100413988":3},{"organization":4,"outcomesModule":7,"designInfo":30,"detailedDescription":33,"studyPopulation":34,"armGroups":29,"interventions":29,"overallOfficials":35,"centralContacts":39,"locations":45,"responsibleParty":69,"collaborators":29,"id":72,"slug":29,"hasResults":73,"nctId":74,"briefTitle":75,"officialTitle":76,"acronym":29,"eligibilityCriteria":77,"healthyVolunteers":73,"sex":78,"minAge":29,"maxAge":79,"enrollmentInfo":80,"targetDuration":29,"studyType":83,"phases":29,"briefSummary":84,"conditions":85,"keywords":29,"overallStatus":48,"whyStopped":29,"lastUpdateSubmitDate":88,"lastUpdatePostDateStruct":89,"startDateStruct":92,"completionDateStruct":94,"leadSponsor":96,"locationsCount":97},{"fullName":5,"class":6},"Charite University, Berlin, Germany","OTHER",{"primaryOutcomes":8,"secondaryOutcomes":16,"otherOutcomes":29},[9,13],{"measure":10,"description":11,"timeFrame":12},"Mortality I","Mortality is measured by inhouse mortality.","01.01.2016-30.04.2026",{"measure":14,"description":15,"timeFrame":12},"Mortality II","Mortality is measured by long-term mortality (1 year)",[17,20,23,26],{"measure":18,"description":19,"timeFrame":12},"Morbidity","Morbidity is evaluated by International Classification of Diseases (ICD) (10th version). \u002FOperation codes (OPS)",{"measure":21,"description":22,"timeFrame":12},"Accounting data","Accounting data are providid by the controlling department",{"measure":24,"description":25,"timeFrame":12},"Functional status","The functional status of the patient is measured by routine score data. The scores, which measure physical, role, and social functioning, and mobility reflect worse\u002Fbetter outcome depending on the score construction.",{"measure":27,"description":28,"timeFrame":12},"Post Intensive Care Syndrome (PICS)","The composite outcome measure \"PICS\" of the patient is measured according to Needham et al 2012: New or worsening physical, cognitive, and\u002For mental impairments that are collectively called PICS measured by Patient Health Questionnaires (PHQ-4), MiniCog, Animal Naming Test Timed Up-and-Go (TUG), Handgrip strength. The measurements will be performed, when patients present to the outpatient clinic for follow-up examinations.",null,{"allocation":29,"interventionModel":29,"interventionModelDescription":29,"primaryPurpose":29,"observationalModel":31,"timePerspective":32,"maskingInfo":29},"COHORT","RETROSPECTIVE","The patterns that are relevant for patient-centered outcomes (e.g. mortality) can be combinations of different parameters (e.g. 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.\n\nThis 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 patient's 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, i.e. 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.\n\nNumerous projects and sub-projects can be evaluated from this data set.","At the department for anesthesiology with a focus on operative intensive care medicine, approximately 60,000 anaesthesias are performed annually. The data sets of documentation systems used in this context date back approximately to the year 2016 and are to be considered for the development of data science-based models depending on selected QI or SOPs.",[36],{"name":37,"affiliation":5,"role":38},"Claudia Spies, MD Prof.","STUDY_DIRECTOR",[40],{"name":41,"role":42,"phone":43,"phoneExt":29,"email":44},"Claudia Spies, MD, Prof.","CONTACT","+49 30 450 55 11 02","claudia.spies@charite.de",[46],{"facility":47,"status":48,"city":49,"state":50,"zip":51,"country":52,"countryCode":53,"cosmosGeoPoint":54,"geoPoint":59,"contacts":60},"Department of Anesthesiology and Intensive Care Medicine (CCM\u002FCVK), Charité - Universitaetsmedizin Berlin","RECRUITING","Berlin","State of Berlin","10117","Germany","DE",{"type":55,"coordinates":56},"Point",[57,58],13.41053,52.52437,{"lat":58,"lon":57},[61,63,66],{"name":41,"role":42,"phone":62,"phoneExt":29,"email":44},"+4930 450 55 11 02",{"name":64,"role":65,"phone":29,"phoneExt":29,"email":29},"Claudia Spies, MD","PRINCIPAL_INVESTIGATOR",{"name":67,"role":68,"phone":29,"phoneExt":29,"email":29},"Laerson Hoff, MD","SUB_INVESTIGATOR",{"type":65,"investigatorFullName":70,"investigatorTitle":71,"investigatorAffiliation":5,"oldNameTitle":29,"oldOrganization":29},"Claudia Spies","Head of the Department of Anesthesiology and Operative Intensive Care Medicine (CCM\u002FCVK)","100413988",false,"NCT04670744","Identification of Outcome Relevant Indicators in Routine Data","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","Inclusion Criteria:\n\n* Age: 0 to 120 years\n* Gender: female, male, diverse\n* Electronically documented anesthesiological or intensive care treatment in the HIS (Hospital Information System) and PDMS (Patient Data Management System) of the Charité (Department of Anesthesiology and Intensive Care Medicine, CCM\u002FCVK\u002FCBF) since 2016\n\nExclusion Criteria:\n\n-none","ALL","120 Years",{"count":81,"type":82},1000000,"ESTIMATED","OBSERVATIONAL","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.\n\nNumerous projects and sub-projects can be evaluated from this data set.",[86,87],"Anesthesiological Risk Reduction","Intensive Care Risk Reduction","2026-06-03",{"date":90,"type":91},"2026-06-05","ACTUAL",{"date":93,"type":91},"2020-12-03",{"date":95,"type":82},"2030-12-31",{"name":5,"class":6},1]