Appl Clin Inform 2024; 15(03): 469-478
DOI: 10.1055/s-0044-1787008
State of the Art/Best Practice Paper

SALUS—A Study on Self-Tonometry for Glaucoma Patients: Design and Implementation of the Electronic Case File

Sandra Geisler
1   Digital Health, Fraunhofer Institute for Applied Information Technology FIT, Sankt Augustin, Germany
2   Data Stream Management and Analysis, RWTH Aachen University, Aachen, Germany
,
Kristina Oldiges
3   Department of Ophthalmology, University of Muenster Medical Centre, Muenster, Germany
,
Florim Hamiti
1   Digital Health, Fraunhofer Institute for Applied Information Technology FIT, Sankt Augustin, Germany
,
Jens J. Storp
3   Department of Ophthalmology, University of Muenster Medical Centre, Muenster, Germany
,
M.A. Masud
1   Digital Health, Fraunhofer Institute for Applied Information Technology FIT, Sankt Augustin, Germany
,
Julian A. Zimmermann
3   Department of Ophthalmology, University of Muenster Medical Centre, Muenster, Germany
,
Stefan Kreutter
1   Digital Health, Fraunhofer Institute for Applied Information Technology FIT, Sankt Augustin, Germany
,
Nicole Eter
3   Department of Ophthalmology, University of Muenster Medical Centre, Muenster, Germany
,
Thomas Berlage
1   Digital Health, Fraunhofer Institute for Applied Information Technology FIT, Sankt Augustin, Germany
› Author Affiliations
Funding This research is funded by the German Federal Joint Committee (G-BA) as the highest decision-making body of the joint self-government of physicians, dentists, hospitals, and health insurance funds with the project number 01NVF18002. The project is funded according to § 92 a SGB V. The funding body did not play any role in the design of the study, nor will it play any role in data collection, analysis and interpretation of data, or the writing of manuscript.

Abstract

Background In times of omnipresent digitization and big data, telemedicine and electronic case files (ECFs) are gaining ground for networking between players in the health care sector. In the context of the SALUS study, this approach is applied in practice in the form of electronic platforms to display and process disease-relevant data of glaucoma patients.

Objectives The SALUS ECF is designed and implemented to support data acquisition and presentation, monitoring, and outcome control for patients suffering from glaucoma in a clinical setting. Its main aim is to provide a means for out- and inpatient exchange of information between various stakeholders with an intuitive user interface in ophthalmologic care. Instrument data, anamnestic data, and diagnostic assessments need to be accessible and historic data stored for patient monitoring. Quality control of the data is ensured by a reading center.

Methods Based on an intensive requirement analysis, we implemented the ECF as a web-based application in React with a Datomic back-end exposing REST and GraphQL APIs for data access and import. A flexible role management was developed, which addresses the various tasks of multiple stakeholders in the SALUS study. Data security is ensured by a comprehensive encryption concept. We evaluated the usability and efficiency of the ECF by measuring the durations medical doctors need to enter and work with the data.

Results The evaluation showed that the ECF is time-saving in comparison to paper-based assessments and offers supportive monitoring and outcome control for numerical and imaging-related data. By allowing patients and physicians to access the digital ECF, data connectivity as well as patient autonomy were enhanced.

Conclusion ECFs have a great potential to efficiently support all patients and stakeholders involved in the care of glaucoma patients. They benefit from the efficient management and view of the data tailored to their specific role.

Protection of Human and Animal Subjects

The SALUS study has been approved by the Ethics Committees of the University of Muenster, Germany, and follows the guidelines of the Declaration of Helsinki and current German and European Union legislation on data protection.




Publication History

Received: 24 October 2023

Accepted: 22 April 2024

Article published online:
19 June 2024

© 2024. Thieme. All rights reserved.

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany

 
  • References

  • 1 Bowman S. Impact of electronic health record systems on information integrity: quality and safety implications. Perspect Health Inf Manag 2013; 10 (Fall): 1c
  • 2 Mir Mohi Sefat A, Patermann K, von Ohlen L. et al. [Electronic patient files in hospital information systems]. Ophthalmologe 2020; 117 (10) 1015-1024
  • 3 Day AC, Donachie PH, Sparrow JM, Johnston RL. The Royal College of Ophthalmologists' National Ophthalmology Database study of cataract surgery: report 1, visual outcomes and complications. Eye (Lond) 2015; 29 (04) 552-560
  • 4 Parke Ii DW, Lum F, Rich WL. The IRIS registry: purpose and perspectives. Ophthalmologe 2017; 114 (Suppl. 01) 1-6
  • 5 Baro E, Degoul S, Beuscart R, Chazard E. Toward a literature-driven definition of big data in healthcare. BioMed Res Int 2015; 2015: 639021
  • 6 Cheng CY, Soh ZD, Majithia S. et al. Big data in ophthalmology. Asia Pac J Ophthalmol (Phila) 2020; 9 (04) 291-298
  • 7 Choritz L, Hoffmann M, Thieme H. [Telemedical applications in ophthalmology in times of COVID-19]. Ophthalmologe 2021; 118 (09) 885-892
  • 8 Parikh D, Armstrong G, Liou V, Husain D. Advances in telemedicine in ophthalmology. Semin Ophthalmol 2020; 35 (04) 210-215
  • 9 Rathi S, Tsui E, Mehta N, Zahid S, Schuman JS. The current state of teleophthalmology in the United States. Ophthalmology 2017; 124 (12) 1729-1734
  • 10 Oldiges K, Steinmann M, Duevel JA. et al SALUS Study Group-a non-inferiority trial to compare self-tonometry in glaucoma patients with regular inpatient intraocular pressure controls: study design and set-up. Graefes Arch Clin Exp Ophthalmol 2022; 260 (12) 3945-3955
  • 11 Ho CH, Wong JKW. Role of 24-hour intraocular pressure monitoring in glaucoma management. J Ophthalmol 2019; 2019: 3632197
  • 12 Kohli R, Tan SSL. Electronic health records. Manage Inf Syst Q 2016; 40 (03) 553-574
  • 13 Cowie MR, Blomster JI, Curtis LH. et al. Electronic health records to facilitate clinical research. Clin Res Cardiol 2017; 106 (01) 1-9
  • 14 Schmidt C. Agile Software Development. Springer International Publishing; 2016: 2-35
  • 15 Jabour AM. The impact of electronic health records on the duration of patients' visits: time and motion study. JMIR Med Inform 2020; 8 (02) e16502
  • 16 Read-Brown S, Hribar MR, Reznick LG. et al. Time requirements for electronic health record use in an academic ophthalmology center. JAMA Ophthalmol 2017; 135 (11) 1250-1257
  • 17 Gupta N, Weinreb RN. New definitions of glaucoma. Curr Opin Ophthalmol 1997; 8 (02) 38-41
  • 18 Schiesser L, Storp JJ, Yildirim K. et al Blood vessel segmentation using U-Net for glaucoma diagnosis with limited data. Stud Health Technol Inform 2023; 302: 581-585