gms | German Medical Science

66. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS), 12. Jahreskongress der Technologie- und Methodenplattform für die vernetzte medizinische Forschung e. V. (TMF)

26. - 30.09.2021, online

First steps towards follow-up support software

Meeting Abstract

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  • Betina Schnepf - Department of Internal Medicine III, University Hospital Heidelberg, Heidelberg, Germany; Informatics for Life, Heidelberg, Germany
  • Jonathan Schwarz - Department of Internal Medicine III, University Hospital Heidelberg, Heidelberg, Germany; Informatics for Life, Heidelberg, Germany
  • Norbert Frey - Department of Internal Medicine III, University Hospital Heidelberg, Heidelberg, Germany; Informatics for Life, Heidelberg, Germany, Heidelberg, Germany
  • Nicolas Geis - Department of Internal Medicine III, University Hospital Heidelberg, Heidelberg, Germany; Informatics for Life, Heidelberg, Germany
  • Hauke Hund - Department of Internal Medicine III, University Hospital Heidelberg, Heidelberg, Germany; Informatics for Life, Heidelberg, Germany

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie. 66. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS), 12. Jahreskongress der Technologie- und Methodenplattform für die vernetzte medizinische Forschung e.V. (TMF). sine loco [digital], 26.-30.09.2021. Düsseldorf: German Medical Science GMS Publishing House; 2021. DocAbstr. 192

doi: 10.3205/21gmds023, urn:nbn:de:0183-21gmds0239

Veröffentlicht: 24. September 2021

© 2021 Schnepf et al.
Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung). Lizenz-Angaben siehe http://creativecommons.org/licenses/by/4.0/.


Gliederung

Text

Introduction: To provide excellent health services we communicate with our patients after hospitalization. But clinical data management with pen and paper is very time consuming. For better processing of outcome information and feedback, we like to research and develop technical solutions for clinical follow-up studies. We aim to make follow-up studies more powerful and easier to conduct. By using digital data collection, we facilitate exchange between hospital workgroups and reduce unnecessary patient contacts. Furthermore, tasks like redundant requests to the registration office will be avoided and patients will be contacted with compiled study questionnaires only once. Thus, we are developing and integrating a new web app, based on a central system for clinical data acquisition.

State of the Art: Clinical patients are assessed in a follow-up study because of a risk, factor of interest, or unknown outcome. These patients need to be followed over time after hospitalization. Several technical solutions existed. For example, registration office requests [1], pharmaceutical follow-up software, and advanced study management tools [2]. But these tools only partially solve our goals, they are private, expensive, or cannot be integrated in our clinical infrastructure.

Concept: Our software has many advantages over the pen and paper approach. Within and between university hospital workgroups follow-up activities will be simplified. A message component with alerts for attention and disruption of tasks or the timeline with notifications based on tracking and reminder functionalities, as well as digital dashboards with status information and progress by study, by patient, or by questionnaires are key benefits. Additionally, a search component enables search for patient data or patient enrollment. Finally, data sharing between different workgroups will be enabled.

Implementation: The system is implemented as a responsive and reactive designed web app. We use HTML, JavaScript, and Vue.js for the front end. And Java with Spring Boot for the back end. The reactive back end is connected to SQL and NoSQL databases. The web app runs within the University Hospital network for internal access only and aims to integrate the telephone system, APIs provided by the residents’ registration office [1], and an optimized data workflow. Login for authentication and authorization redirects to OpenID Connect based on OAuth 2.0 for active user sessions. Due to privacy policies and the connection to different data gateways within the University Hospital environment, the availability is restricted to the clinical network.

Lessons Learned: Implementing a new system powered by existing data gateways and information systems is quite complicated and data specific. Different privacy policies and legal contexts set out the basis for our collection, use, and data sharing of sensitive private, health, and medical conditions data. The major advantage between the pen and paper method and the digitalization is the real time patient data workflow between different workgroups and a reduction of unnecessary patient contacts after hospitalization. In conclusion: Integrating digital follow-up support in the university hospital infrastructure is a challenge at this level of work and implementing follow-up data collection and data sharing for different workgroups is work in progress.

The authors declare that they have no competing interests.

The authors declare that an ethics committee vote is not required.


References

1.
Komm.ONE [Internet]. [cited 2021 May 08]. Available from: https://www.komm.one Externer Link
2.
OpenClinica [Internet]. [cited 2021 May 08]. Available from: https://www.openclinica.com/ Externer Link