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  1. Article ; Online: Positive Effekte eines Einarbeitungs- und Weiterbildungscurriculums am Beispiel der interdisziplinären Intensivstation.

    Spacek, M / Prautzsch, C / Mehrholz, J / Eberlein-Gonska, M

    Medizinische Klinik, Intensivmedizin und Notfallmedizin

    2022  Volume 118, Issue 4, Page(s) 277–282

    Abstract: The training of new medical colleagues in hospitals is due to various aspects such as for instance staff shortages and time pressure often very challenging for everyone involved. Using the example of the interdisciplinary intensive care unit, the ... ...

    Title translation Positive effects of training curriculum using the example of the interdisciplinary intensive care unit.
    Abstract The training of new medical colleagues in hospitals is due to various aspects such as for instance staff shortages and time pressure often very challenging for everyone involved. Using the example of the interdisciplinary intensive care unit, the positive effects of a structured training curriculum have been scientifically proven in regular employee surveys. There was a statistically significant increase in satisfaction in the quality of induction (p < 0.0001), quality of training (p < 0.0001),  preparation for night shifts in the intensive care unit (p < 0.0001) and an improvement in general satisfaction in the clinic (p < 0.003) can also be shown. For these reasons, such curriculum contributes to increasing the quality of care and patient safety as well as the safety of medical staff in the medical work.
    MeSH term(s) Humans ; Curriculum ; Intensive Care Units ; Surveys and Questionnaires
    Language German
    Publishing date 2022-07-09
    Publishing country Germany
    Document type English Abstract ; Journal Article
    ZDB-ID 2636018-4
    ISSN 2193-6226 ; 1435-1420 ; 0723-5003 ; 2193-6218 ; 0175-3851
    ISSN (online) 2193-6226 ; 1435-1420
    ISSN 0723-5003 ; 2193-6218 ; 0175-3851
    DOI 10.1007/s00063-022-00938-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Conference proceedings: Leitliniengerechte "Rauchfrei Strategie 2023" – Erfahrungen aus dem Arbeitskreis "Rauchfreies Krankenhaus" Universitätsklinikum Carl Gustav Carus Dresden (UKD)

    Krause, F / Rustler, C / Petzold, J / Kuitunen-Paul, S / Eberlein-Gonska, M / Koschel, D

    Pneumologie

    2024  Volume 78, Issue S 01

    Event/congress 64. Kongress der Deutschen Gesellschaft für Pneumologie und Beatmungsmedizin e. V., Mannheim, 2024-03-20
    Language German
    Publishing date 2024-03-01
    Publisher Georg Thieme Verlag
    Publishing place Stuttgart ; New York
    Document type Article ; Conference proceedings
    ZDB-ID 607630-0
    ISSN 1438-8790 ; 0934-8387
    ISSN (online) 1438-8790
    ISSN 0934-8387
    DOI 10.1055/s-0044-1778974
    Database Thieme publisher's database

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  3. Article ; Online: Systematisches Risikomanagement für eine geplante Gasabschaltung im High-Care-Bereich eines Universitätsklinikums.

    Heller, Axel R / Eberlein-Gonska, Maria / Held, Hanns C / Koch, Thea

    Die Anaesthesiologie

    2023  Volume 72, Issue 4, Page(s) 282–292

    Abstract: Background: In the course of building extension works at Dresden University Hospital, it was necessary to shut down the central medical gas supply in a building with 3 intensive care wards with 22 beds, an operating theater tract with 5 operating rooms ... ...

    Title translation Systematic risk management for a planned gas shutdown in the high-care facility of a university hospital.
    Abstract Background: In the course of building extension works at Dresden University Hospital, it was necessary to shut down the central medical gas supply in a building with 3 intensive care wards with 22 beds, an operating theater tract with 5 operating rooms and 6 normal wards each with 28 beds during ongoing services. Thus, for the construction phase there was a need to establish an interim decentralized gas supply with zero failure tolerance for the affected functional units .
    Methods: Following established procedures for possible risk and failure analysis, a project group was set up by the hospital's emergency and disaster management officer to develop a project plan, a needs assessment and a communication plan.
    Results: A variety of risk factors were systematically identified for which appropriate countermeasures needed to be designed. The needs assessment over 4 h based on physiological parameters for the maximum available 22 ventilator beds resulted in 26,000 l of oxygen and 26,000 l of compressed air. A total of 7 supply points were each equipped with two 50l cylinders for both oxygen and compressed air, with a total availability of 175,000 l of each of the 2 gases. Another eight cylinders each were held in reserve. The project was carried out on a Saturday without an elective surgery program, so that the operating rooms concerned could be closed. The timing was chosen so that double staffing of intensive care personnel was available during the afternoon shift change. In advance, as many of the patients on mechanical ventilation as possible were transferred within the hospital; however, nine of the mechanically ventilated patients had to remain. The technical intervention in the gas supply lasted only 2 h without affecting the patient's condition. During the 2‑h interim supply, 16,500 l of compressed air and 8000 l of oxygen were consumed on the high-care wards. The calculated hourly consumption per ventilated patient was 917 l of air (15 l/min) and 444 l of oxygen (7 l/min). The quantity framework based on empirical values from intensive care medicine was significantly lower. This was more than compensated for by the 10-fold stocking of gas and the predictably lower number of ventilated patients than the maximum occupancy used as a basis.
    Conclusion: For technical interventions in high-risk areas, careful planning and execution in an effective team is required. Established procedures of project management and risk assessment help to avoid errors.
    MeSH term(s) Humans ; Critical Care ; Hospitals, University ; Oxygen ; Respiration, Artificial ; Risk Management
    Chemical Substances Oxygen (S88TT14065)
    Language German
    Publishing date 2023-02-08
    Publishing country Germany
    Document type English Abstract ; Journal Article ; Review
    ISSN 2731-6866
    ISSN (online) 2731-6866
    DOI 10.1007/s00101-023-01254-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Conference proceedings: Integration von evidenzbasierten Rauchentwöhnungsangeboten in den Klinikprozess – Erfahrungen des Arbeitskreises „Rauchfreies Krankenhaus“ des Universitätsklinikums Dresden

    Krause, F / Rustler, C / Petzold, J / Kuitunen-Paul, S / Eberlein-Gonska, M / Koschel, D

    Pneumologie

    2023  Volume 77, Issue 12

    Event/congress 25. Herbsttagung der Mitteldeutschen Gesellschaft für Pneumologie und Thoraxchirurgie, Suhl, 2023-11-03
    Language German
    Publishing date 2023-12-01
    Publisher Georg Thieme Verlag
    Publishing place Stuttgart ; New York
    Document type Article ; Conference proceedings
    ZDB-ID 607630-0
    ISSN 1438-8790 ; 0934-8387
    ISSN (online) 1438-8790
    ISSN 0934-8387
    DOI 10.1055/s-0043-1776932
    Database Thieme publisher's database

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  5. Article: Measuring appropriateness of diagnostic imaging: a scoping review.

    Walther, Felix / Eberlein-Gonska, Maria / Hoffmann, Ralf-Thorsten / Schmitt, Jochen / Blum, Sophia F U

    Insights into imaging

    2023  Volume 14, Issue 1, Page(s) 62

    Abstract: In radiology, the justification of diagnostic imaging is a key performance indicator. To date, specific recommendations on the measurement of appropriateness in diagnostic imaging are missing. To map the study literature concerning the definition, ... ...

    Abstract In radiology, the justification of diagnostic imaging is a key performance indicator. To date, specific recommendations on the measurement of appropriateness in diagnostic imaging are missing. To map the study literature concerning the definition, measures, methods and data used for analyses of appropriateness in research of diagnostic imaging. We conducted a scoping review in Medline, EMBASE, Scopus and the Cochrane Central Register of Controlled Trials. Two independent reviewers undertook screening and data extraction. After screening 6021 records, we included 50 studies. National guidelines (n = 22/50) or American College of Radiology Appropriateness Criteria (n = 23/50) were used to define and rate appropriateness. 22/50 studies did not provide methodological details about the appropriateness assessment. The included studies varied concerning modality, amount of reviewed examinations (88-13,941) and body regions. Computed tomography (27 studies, 27,168 examinations) was the most frequently analyzed modality, followed by magnetic resonance imaging (17 studies, 6559 examinations) and radiography (10 studies, 7095 examinations). Heterogeneous appropriateness rates throughout single studies (0-100%), modalities, and body regions (17-95%) were found. Research on pediatric and outpatient imaging was sparse. Multicentric, methodologically robust and indication-oriented studies would strengthen appropriateness research in diagnostic imaging and help to develop reliable key performance indicators.
    Language English
    Publishing date 2023-04-13
    Publishing country Germany
    Document type Journal Article ; Review
    ZDB-ID 2543323-4
    ISSN 1869-4101
    ISSN 1869-4101
    DOI 10.1186/s13244-023-01409-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Structured Reporting of Whole-Body Trauma CT Scans: Friend, not Foe.

    Blum, Sophia Freya Ulrike / Eberlein-Gonska, Maria / Hoffmann, Ralf-Thorsten

    RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin

    2022  Volume 194, Issue 7, Page(s) 777–778

    MeSH term(s) Friends ; Humans ; Retrospective Studies ; Tomography, X-Ray Computed ; Whole Body Imaging
    Language English
    Publishing date 2022-07-11
    Publishing country Germany
    Document type Letter ; Comment
    ZDB-ID 554830-5
    ISSN 1438-9010 ; 0340-1618 ; 0936-6652 ; 1433-5972 ; 1438-9029
    ISSN (online) 1438-9010
    ISSN 0340-1618 ; 0936-6652 ; 1433-5972 ; 1438-9029
    DOI 10.1055/a-1847-4069
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Qualitätsmanagement. Vom Papierordner zur digitalen Prozesssteuerung. 20 Jahre Beschwerdemanagement am UKD

    Hertzschuch, D. / Hannemann, F. / Hanel, A. / Riefenstein, K. / Eberlein-Gonska, M.

    KU-Gesundheitsmanagement

    2022  Volume 91, Issue 12, Page(s) 17

    Language German
    Document type Article
    ZDB-ID 2420760-3
    ISSN 1867-9269
    Database Current Contents Medicine

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  8. Article ; Online: Was ist an Qualitätsmanagement evidenzbasiert? Reflexionen über eine scheinbar einfache Frage.

    Eberlein-Gonska, M

    Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz

    2011  Volume 54, Issue 2, Page(s) 148–153

    Abstract: Quality management has become more important due to the growing pressure for change within the healthcare sector. Responsible for this are driving forces that include not only competition and legislation, but also society. Therefore, quality management ... ...

    Title translation What is evidence-based concerning quality management? Thoughts about an apparently simple question.
    Abstract Quality management has become more important due to the growing pressure for change within the healthcare sector. Responsible for this are driving forces that include not only competition and legislation, but also society. Therefore, quality management has developed especially in the direction of structural organization, process orientation, and professionalism. However, there is a lack of information concerning the scientific, evidence-based evaluation of activities, measures, and projects. Current studies and data are not able to answer questions concerning a strong correlation between quality management activities and treatment effects, and the influence on the whole system remains open. The reason for this is the complexity of the different dynamic factors influencing the benefit assessment. Single investigations can only indicate specific aspects of the multifaceted term quality analysis. There is a high demand for scientific and proven methods as well as for the understanding that scientifically established answers can only be given to well-defined and specific questions.
    MeSH term(s) Delivery of Health Care/organization & administration ; Evidence-Based Medicine/organization & administration ; Germany ; Total Quality Management/organization & administration
    Language German
    Publishing date 2011-02
    Publishing country Germany
    Document type English Abstract ; Journal Article
    ZDB-ID 1461973-8
    ISSN 1437-1588 ; 1436-9990
    ISSN (online) 1437-1588
    ISSN 1436-9990
    DOI 10.1007/s00103-010-1204-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Prediction of inpatient pressure ulcers based on routine healthcare data using machine learning methodology.

    Walther, Felix / Heinrich, Luise / Schmitt, Jochen / Eberlein-Gonska, Maria / Roessler, Martin

    Scientific reports

    2022  Volume 12, Issue 1, Page(s) 5044

    Abstract: Despite the relevance of pressure ulcers (PU) in inpatient care, the predictive power and role of care-related risk factors (e.g. anesthesia) remain unclear. We investigated the predictability of PU incidence and its association with multiple care ... ...

    Abstract Despite the relevance of pressure ulcers (PU) in inpatient care, the predictive power and role of care-related risk factors (e.g. anesthesia) remain unclear. We investigated the predictability of PU incidence and its association with multiple care variables. We included all somatic cases between 2014 and 2018 with length of stay ≥ 2d in a German university hospital. For regression analyses and prediction we used Bayesian Additive Regression Trees (BART) as nonparametric modeling approach. To assess predictive accuracy, we compared BART, random forest, logistic regression (LR) and least absolute shrinkage and selection operator (LASSO) using area under the curve (AUC), confusion matrices and multiple indicators of predictive performance (e.g. sensitivity, specificity, F1, positive/ negative predictive value) in the full dataset and subgroups. Analysing 149,006 cases revealed high predictive variable importance and associations between incident PU and ventilation, age, anesthesia (≥ 1 h) and number of care-involved wards. Despite high AUCs (range 0.89-0.90), many false negative predictions led to low sensitivity (range 0.04-0.10). Ventilation, age, anesthesia and number of care-involved wards were associated with incident PU. Using anesthesia as a proxy for immobility, an hourly repositioning is indicated. The low sensitivity indicates major challenges for correctly predicting PU based on routine data.
    MeSH term(s) Bayes Theorem ; Delivery of Health Care ; Humans ; Inpatients ; Machine Learning ; Pressure Ulcer/diagnosis ; Pressure Ulcer/epidemiology
    Language English
    Publishing date 2022-03-23
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-022-09050-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Structured Reporting of Whole-Body Trauma CT Scans: Friend, not Foe

    Blum, Sophia Freya Ulrike / Eberlein-Gonska, Maria / Hoffmann, Ralf-Thorsten

    RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren

    2022  Volume 194, Issue 07, Page(s) 777–778

    Language English
    Publishing date 2022-07-01
    Publisher Georg Thieme Verlag KG
    Publishing place Stuttgart ; New York
    Document type Article
    ZDB-ID 554830-5
    ISSN 1438-9010 ; 1438-9029 ; 0340-1618 ; 0936-6652 ; 1433-5972
    ISSN (online) 1438-9010
    ISSN 1438-9029 ; 0340-1618 ; 0936-6652 ; 1433-5972
    DOI 10.1055/a-1847-4069
    Database Thieme publisher's database

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