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Health Data Management im Krankenhaus umsetzen

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Health Data Management

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Zusammenfassung

Das Gesundheitswesen hat in den letzten Jahrzehnten einen rasanten Digitalisierungsprozess durchlaufen, bei dem elektronische Gesundheitsakten (Electronic Health Records, EHR) und spezielle Verfahren wie elektronische Bildgebungssysteme die Grundlage für ein breites Spektrum von Ansätzen in der Medizin ermöglicht haben, darunter die Anwendung von Machine Learning (ML) und Präzisionsmedizin. In diesem Kontext ist das Health Data Management (HDM) zu einem essenziellen Bestandteil des Gesundheitssystems geworden. Die kombinierte Nutzung von Daten, nicht nur aus unterschiedlichen gängigen Quellen wie Krankenakten, Laborergebnissen und Bildgebungen, sondern auch von Mobilgeräten, leistet einen entscheidenden Beitrag, um hohe Qualitäts- und Sicherheitsstandards in der Patientenversorgung gewährleisten zu können.

Dieses Kapitel zeigt auf, welche Potenziale sich in verschiedenen klinischen Bereichen am Beispiel eines Universitätsklinikums durch HDM bieten. Dabei wird auf die besonderen Herausforderungen des HDM eingegangen, die sich durch die Integration neuer Datenquellen in bestehende Systeme ergeben. Welche Lösungen im Umgang mit diesen Herausforderungen gefunden werden, bestimmt im Wesentlichen, wie erfolgreich – gemessen an den erreichten Verbesserungen der Versorgungsqualität – HDM umgesetzt werden kann.

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Literatur

  • Althoff, T., Sosič, R., Hicks, J. L., King, A. C., Delp, S. L., & Leskovec, J. (2017). Large-scale physical activity data reveal worldwide activity inequality. Nature, 547(7663), 336–339.

    Article  Google Scholar 

  • Bentley, K. H., Zuromski, K. L., Fortgang, R. G., Madsen, E. M., Kessler, D., Lee, H., Nock, M. K., Reis, B. Y., Castro, V. M., & Smoller, J. W. (2022). Implementing machine learning models for suicide risk prediction in clinical practice: Focus group study with hospital providers. JMIR Formative Research, 6(3), e30946. https://doi.org/10.2196/30946

    Article  Google Scholar 

  • Black N. (2013). Patient reported outcome measures could help transform healthcare. BMJ (Clinical research ed.), 346, f167. https://doi.org/10.1136/bmj.f167

  • Braune, K., Lal, R. A., Petruželková, L., Scheiner, G., Winterdijk, P., Schmidt, S., Raimond, L., Hood, K. K., Riddell, M. C., Skinner, T. C., Raile, K., Hussain, S., & OPEN International Healthcare Professional Network and OPEN Legal Advisory Group. (2022). Open-source automated insulin delivery: International consensus statement and practical guidance for health-care professionals. The Lancet. Diabetes & Endocrinology, 10(1), 58–74. https://doi.org/10.1016/S2213-8587(21)00267-9

    Article  Google Scholar 

  • Cirillo, D., & Valencia, A. (2019). Big data analytics for personalized medicine. Current Opinion in Biotechnology, 58, 161–167. https://doi.org/10.1016/j.copbio.2019.03.004

    Article  Google Scholar 

  • Cleverly, W. O., & Cameron, A. E. (2007). Essentials of health care finance (6. Aufl., S. 123–142). Jones & Barlett Publishers.

    Google Scholar 

  • Eslami, S., de Keizer, N. F., Dongelmans, D. A., de Jonge, E., Schultz, M. J., & Abu-Hanna, A. (2012). Effects of two different levels of computerized decision support on blood glucose regulation in critically ill patients. International Journal of Medical Informatics, 81(1), 53–60. https://doi.org/10.1016/j.ijmedinf.2011.10.004

    Article  Google Scholar 

  • Geraci, A. (1991). IEEE standard computer dictionary: Compilation of IEEE standard computer glossaries. IEEE Press.

    Google Scholar 

  • Haggerty, E. (2018). Healthcare and digital transformation. Network Security, 8, 7–11. https://doi.org/10.1016/S1353-4858(17)30081-8

    Article  Google Scholar 

  • Institute of Medicine (US) Committee on Quality of Health Care in America (2000). In L. T. Kohn, J. M. Corrigan, & M. S. Donaldson (Hrsg.), To err is human: Building a safer health system. National Academies Press (US).

    Google Scholar 

  • Kongstvedt, P. R. (2013). Essentials of managed health care (6. Aufl., S. 243–254, 482-496). Jones & Barlett Learning.

    Google Scholar 

  • Ku, J. P., & Sim, I. (2021). Mobile Health: Making the leap to research and clinics. NPJ Digital Medicine, 4(1), 83.

    Article  Google Scholar 

  • Kwok, R., Dinh, M., Dinh, D., & Chu, M. (2009). Improving adherence to asthma clinical guidelines and discharge documentation from emergency departments: implementation of a dynamic and integrated electronic decision support system. Emergency medicine Australasia. EMA, 21(1), 31–37. https://doi.org/10.1111/j.1742-6723.2008.01149.x

  • Lehne, M., Sass, J., Essenwanger, A., Schepers, J., & Thun, S. (2019). Why digital medicine depends on interoperability. NPJ digital medicine, 2, 79. https://doi.org/10.1038/s41746-019-0158-1

  • Makri, A. (2019). Bridging the digital divide in health care. The Lancet Digital Health, 1(5), e204–e205.

    Article  Google Scholar 

  • Murdoch, T. B., & Detsky, A. S. (2013). The inevitable application of big data to health care. JAMA, 309(13), 1351–1352. https://doi.org/10.1001/jama.2013.393

    Article  Google Scholar 

  • Näher, A. F., Vorisek, C. N., Klopfenstein, S. A., Lehne, M., Thun, S., Alsalamah, S., & Grabenhenrich, L. (2023). Secondary data for global health digitalisation. The Lancet Digital Health, 5(2), e93–e101.

    Article  Google Scholar 

  • O'Donnell, S., Lewis, D., Marchante Fernández, M., Wäldchen, M., Cleal, B., Skinner, T., Raile, K., Tappe, A., Ubben, T., Willaing, I., Hauck, B., Wolf, S., & Braune, K. (2019). Evidence on user-led innovation in diabetes technology (The OPEN Project): Protocol for a mixed methods study. JMIR Research Protocols, 8(11), e15368. https://doi.org/10.2196/15368

    Article  Google Scholar 

  • Owusu-Obeng, A., Weitzel, K. W., Hatton, R. C., Staley, B. J., Ashton, J., Cooper-Dehoff, R. M., & Johnson, J. A. (2014). Emerging roles for pharmacists in clinical implementation of pharmacogenomics. Pharmacotherapy, 34(10), 1102–1112. https://doi.org/10.1002/phar.1481

    Article  Google Scholar 

  • Perez, M. V., Mahaffey, K. W., Hedlin, H., Rumsfeld, J. S., Garcia, A., Ferris, T., & Turakhia, M. P. (2019). Large-scale assessment of a smartwatch to identify atrial fibrillation. New England Journal of Medicine, 381(20), 1909–1917.

    Article  Google Scholar 

  • Poon, E. G., Keohane, C. A., Yoon, C. S., Ditmore, M., Bane, A., Levtzion-Korach, O., Moniz, T., Rothschild, J. M., Kachalia, A. B., Hayes, J., Churchill, W. W., Lipsitz, S., Whittemore, A. D., Bates, D. W., & Gandhi, T. K. (2010). Effect of bar-code technology on the safety of medication administration. The New England Journal of Medicine, 362(18), 1698–1707. https://doi.org/10.1056/NEJMsa0907115

    Article  Google Scholar 

  • Reis, B. Y., Kohane, I. S., & Mandl, K. D. (2009). Longitudinal histories as predictors of future diagnoses of domestic abuse: Modelling study. BMJ (Clinical Research Ed.), 339, b3677. https://doi.org/10.1136/bmj.b3677

    Article  Google Scholar 

  • Salem, H. A., Caddeo, G., McFarlane, J., Patel, K., Cochrane, L., Soria, D., Henley, M., & Lund, J. (2018). A multicentre integration of a computer-led follow-up of prostate cancer is valid and safe. BJU International, 122(3), 418–426. https://doi.org/10.1111/bju.14157

    Article  Google Scholar 

  • Šendelj, R. (2020). Information technology and information management in healthcare. Studies in Health Technology And Informatics, 274, 139–158. https://doi.org/10.3233/SHTI200674

    Article  Google Scholar 

  • Smuck, M., Odonkor, C. A., Wilt, J. K., Schmidt, N., & Swiernik, M. A. (2021). The emerging clinical role of wearables: Factors for successful implementation in healthcare. NPJ Digital Medicine, 4(1), 45.

    Article  Google Scholar 

  • Sutton, R. T., Pincock, D., Baumgart, D. C., Sadowski, D. C., Fedorak, R. N., & Kroeker, K. I. (2020). An overview of clinical decision support systems: Benefits, risks, and strategies for success. NPJ Digital Medicine, 3, 17. https://doi.org/10.1038/s41746-020-0221-y

    Article  Google Scholar 

  • van Staalduinen, D. J., van den Bekerom, P., Groeneveld, S., Kidanemariam, M., Stiggelbout, A. M., & van den Akker-van Marle, M. E. (2022). The implementation of value-based healthcare: A scoping review. BMC Health Services Research, 22(1), 270. https://doi.org/10.1186/s12913-022-07489-2

    Article  Google Scholar 

  • Vasudevan, S., Saha, A., Tarver, M. E., & Patel, B. (2022). Digital biomarkers: Convergence of digital health technologies and biomarkers. NPJ Digital Medicine, 5(1), 36.

    Article  Google Scholar 

  • Vicente-Saez, R., & Martinez-Fuentes, C. (2018). Open Science now: A systematic literature review for an integrated definition. Journal of Business Research 88, 428–436. https://doi.org/10.1016/j.jbusres.2017.12.043

  • Zheng, W. Y., Lichtner, V., Van Dort, B. A., & Baysari, M. T. (2021). The impact of introducing automated dispensing cabinets, barcode medication administration, and closed-loop electronic medication management systems on work processes and safety of controlled medications in hospitals: A systematic review. Research in Social & Administrative Pharmacy: RSAP, 17(5), 832–841. https://doi.org/10.1016/j.sapharm.2020.08.001

    Article  Google Scholar 

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Authors and Affiliations

  1. Klinik für Anästhesiologie und Intensivmedizin (CVK/CCM) und Institut für Medizinische Informatik, Charité – Universitätsmedizin Berlin, Berlin, Deutschland

    Eduardo Salgado-Baez

  2. Institut für Medizinische Informatik, Charité – Universitätsmedizin Berlin, Berlin, Deutschland

    Anatol-Fiete Näher & Katarina Braune

  3. Berlin Institute of Health @ Charité – Universitätsmedizin Berlin, Berlin, Deutschland

    Marcus Friedrich

  4. Chief Medical Information Officer und Institut für Medizinische Informatik, Charité – Universitätsmedizin Berlin, Berlin, Deutschland

    Gloria Kremser & Felix Balzer

Authors
  1. Eduardo Salgado-Baez
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  2. Anatol-Fiete Näher
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  3. Marcus Friedrich
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  4. Gloria Kremser
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  5. Katarina Braune
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  6. Felix Balzer
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Corresponding author

Correspondence to Eduardo Salgado-Baez .

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Editors and Affiliations

  1. DMI GmbH & Co. KG, Münster, Deutschland

    Viola Henke

  2. FOM Hochschule für Oekonomie & Management, Essen, Deutschland

    Gregor Hülsken

  3. Asklepios Kliniken GmbH & Co. KGaA, Hamburg, Deutschland

    Henning Schneider

  4. Institut für Medizinische Informatik, Universität Münster, Münster, Deutschland

    Julian Varghese

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© 2024 Der/die Autor(en), exklusiv lizenziert an Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature

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Salgado-Baez, E., Näher, AF., Friedrich, M., Kremser, G., Braune, K., Balzer, F. (2024). Health Data Management im Krankenhaus umsetzen. In: Henke, V., Hülsken, G., Schneider, H., Varghese, J. (eds) Health Data Management. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-43236-2_34

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  • DOI: https://doi.org/10.1007/978-3-658-43236-2_34

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  • Publisher Name: Springer Gabler, Wiesbaden

  • Print ISBN: 978-3-658-43235-5

  • Online ISBN: 978-3-658-43236-2

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