Publikationen

Zeitschriftenartikel & Interviews

Denken in Zusammenhängen verbessern

Interview mit Projektleiter Prof. Stefan Listl aus Heidelberg in zm 107, Nr. 6, 16.3.2017, S. 610-612

Zum Interview auf zm-online.de

Entwicklung eines Entscheidungsunterstützungssystems zur Verbesserung der interdisziplinären Versorgung von Allgemein- und Zahnmedizin

Artikel von Christian Haux in Forum der Medizin_Dokumentation

und Medizin_Informatik - Decision Support Systems; Heft 4_Dezember2017_Jahrgang 19; ISSN 1438-0900

Zum Artikel auf bvmi.de

Zahnmedizin auf dem Prüfstand

Interview mit Projektleiter Prof. Dr. Dr. Stefan Listl

Zum Interview auf klinikum.uni-heidelberg.de

Korrelationen zwischen Zahnerkrankungen und chronisch-systemischen Erkrankungen

Artikel von Max Seitz in den Zahnärztlichen Mitteilungen; zm 109, Nr. 20, 16.10.2019, (2262)

Zum Artikel auf zm-online.de

Konferenzbeiträge

Haux, C., Listl, S., Ganzinger, M., Schubert, I., & Knaup, P. (2017). Towards an evidence-informed and patient centered decision support system for intersectoral care. https://doi.org/10.3205/17GMDS115

Haux C, Schubert I, Ganzinger M, Knaup P, Listl S. Implementierung von Routinedaten und PROMs in die evidenz-informierte intersektorale (zahn-)medizinische Versorgung. In: 16 Deutscher Kongress für Versorgungsforschung (DKVF) Berlin, 04-06102017 Düsseldorf: German Medical Science GMS Publishing House; 2017. Berlin: German Medical Science GMS Publishing House; 2017. p. DocP225.

M. W. Seitz, C. Haux, P. Knaup, I. Schubert, S. Listl, Approach Towards an Evidence-Oriented Knowledge and Data Acquisition for the Optimization of Interdisciplinary Care in Dentistry and General Medicine. In: Studies in health technology and informatics 247 (2018), S. 671–674.

M. W. Seitz, C. Haux, S. Listl, P. Knaup, Evaluation von Frameworks für die Entwicklung einer mobilen Applikation zur Befragung von Patienten. Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie 63 Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie eV (GMDS) Osnabrück, (2018).

Haux, C., Seitz, MW., Listl, S., Knaup, K. Nutzerorientierte Anforderungsmodellierung für die Entwicklung eines interdisziplinären Entscheidungsunterstützungssystems. Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie 63 Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie eV (GMDS) Osnabrück, (2018).

Smits, K., Kalmus, O., Haux, C., Seitz, M., van der Zande, M., Schubert, I., ? Listl, S. (2019). Towards a descision support system to better integrate primary and dental care. International Journal of Integrated Care (IJIC), 19.
https://doi.org/10.5334/ijic.s3479

Seitz, M. W., Listl, S., & Knaup, P. (2019). Development of an HL7 FHIR Architecture for Implementation of a Knowledge-based Interdisciplinary EHR. Studies in health technology and informatics, 262, 256-259. doi:10.3233/SHTI190067

Journalbeiträge

M. W. Seitz, S. Listl, A. Bartols, I. Schubert, K. Blaschke, C. Haux, M. M. van der Zande, Current
Knowledge on Correlations Between Highly Prevalent Dental Conditions and Chronic Diseases: An Umbrella Review, In: Preventing Chronic Disease (2019), accepted for publication. doi: 10.5888/pcd16.180641

Blaschke, K., Seitz, M. W., Schubert, I., & Listl, S. Methodological approaches for investigating links between dental and chronic diseases with claims data: A scoping study. Journal of Public Health Dentistry. doi: 10.1111/jphd.12335

Goals

The project Dent@Prevent aims at improving quality and efficiency of care for patients with oral and general chronic conditions. This is addressed via examining the links between the various disease processes, development of a mobile computing app for collecting Patient Reported Outcome Measures (PROMs), and piloting of an electronic Decision Support System. The project will integrate routinely collected administrative data and PROMs to support better evidence-informed and inter-sectoral decision making.

Project description

Studies indicate the existence of common risk factors for chronic pathologies and other chronic diseases. This correlation is particularly noticeable at periodontitis, diabetes and coronary heart disease. Dent@Prevent aims to improve the cooperation between the medical staff both inside and outside the dentistry. The objective is to ensure that doctors and patients are equally informed and can decide together about further treatment.

Firstly, it will be investigated how and why dental- and chronic-systemic diseases are related. To achieve this, scientific articles are systematically analysed and anonymised data from statutory health insurances analysed. Simultaneously, a smartphone app is developed with which the treatment decision can be more strongly targeted to the individual patient: With the app, patients can, for example, provide individual information about their health with regard to their oral health and general health.

Together with the results of the literature research and the analysis of the health insurance data, these reports are used for the development of a digital decision support tool. The insights gained during the project on the interrelationship of dental and systemic diseases can be incorporated into the training and further education of (dentists) physicians.

In the case of success, the developed app and the digital tool can be adapted and used for decision support in other areas.

Funding

Dent@Prevent receives funding from the Federal Joint Committee (G-BA) - Innovation Fund, Grant agreement number: 01VSF16052

Project period

2017 - 2020