Evidence map›Paper›PMID 42753233›Full record

ArticleJMIR medical informatics2026

Digitalization of the Mandatory Notifications System for Infectious Diseases in Germany: Implementation of DEMIS (the German Electronic Reporting and Information System).

Beneditta Suwono, Olaf Rode, Katarina Birghan, Holger Ahl, Eberhard Pape, Doreen Krause, Michaela Diercke, Claudia Sievers

Abstract read
In one paragraph

Article in JMIR medical informatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Beneditta SuwonoDepartment of Infectious Disease Epidemiology, Robert Koch Institute, Nordufer 20, Berlin, Berlin, Germany, 49 3018754 ext 2970.ORCID http://orcid.org/0000-0001-5021-6510
Olaf RodeInnovationscenter Telehealth, Fraunhofer Institute for Open Communication Systems, Berlin, Berlin, Germany.ORCID http://orcid.org/0009-0002-9543-0611
Katarina BirghanDepartment of Methodology and Research Infrastructure, Robert Koch Institute, Berlin, Berlin, Germany.ORCID http://orcid.org/0009-0000-2317-9048
Holger AhlGematik Gesellschaft für Telematikanwendungen der Gesundheitskarte, Berlin, Berlin, Germany.ORCID http://orcid.org/0009-0001-5075-253X
Eberhard PapeDepartment of Methodology and Research Infrastructure, Robert Koch Institute, Berlin, Berlin, Germany.ORCID http://orcid.org/0009-0003-4279-7740
Doreen KrauseDepartment of Infectious Disease Epidemiology, Robert Koch Institute, Nordufer 20, Berlin, Berlin, Germany, 49 3018754 ext 2970.ORCID http://orcid.org/0009-0008-2334-3352
Michaela DierckeDepartment of Infectious Disease Epidemiology, Robert Koch Institute, Nordufer 20, Berlin, Berlin, Germany, 49 3018754 ext 2970.ORCID http://orcid.org/0000-0002-4678-1813
Claudia SieversDepartment of Infectious Disease Epidemiology, Robert Koch Institute, Nordufer 20, Berlin, Berlin, Germany, 49 3018754 ext 2970.ORCID http://orcid.org/0009-0006-7316-4040

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mandatory notifications of infectious diseases in Germany were paper based until the implementation of DEMIS (Deutsches Elektronisches Melde- und Informationssystem für den Infektionsschutz; German Electronic Reporting and Information System) in 2020. DEMIS provides technical infrastructure for electronic reporting of infectious diseases to public health authorities, with the goal of streamlining processes through automation and reducing the burden of manual data entry. Objective: DEMIS provides Fast Healthcare Interoperability Resources (FHIR)-based interfaces for mandatory notification systems that can be accessed by multiple authentication methods for different user groups, such as laboratories, hospitals, and public health authorities. In this paper, we describe the implementation of DEMIS from conceptualization to deployment and evaluation as well as the associated challenges. Methods: Conceptualization of DEMIS was initiated in 2012 by the Robert Koch Institute, Fraunhofer FOKUS, and the German Federal Ministry of Health. The implementation was accelerated during the COVID-19 pandemic in 2020 with support from gematik, Germany's national digital health agency. DEMIS uses FHIR interfaces and standardized terminologies, such as LOINC (Logical Observation Identifiers Names and Codes) and SNOMED CT (Systematized Nomenclature of Medicine-Clinical Terms), to digitally submit basic information on notifiers and patients along with specific diagnostics, clinical data, and epidemiological information from physicians and laboratories to public health authorities. The use of FHIR should ensure interoperability with other surveillance systems. DEMIS provides access either directly via an FHIR-based API or through a web portal. Then, DEMIS notifications will be integrated into the recipient's specialized software. The deployment of FHIR packages in DEMIS will be published on simplifier.net. Finally, the notification data coming via DEMIS will be monitored and evaluated thoroughly. The whole process from implementation to deployment should be supported with active communication between stakeholders. Unlabelled: The first surveillance module was deployed for SARS-CoV-2 notifications during the COVID-19 pandemic in 2020. Since then, DEMIS availability has been over 95% per month, and usually above 99%. As of August 2025, there were 697 laboratories, 1670 hospitals, and 870 other institutions such as private test centers, pharmacies, and general practitioners in Germany that have accessed DEMIS via the API. DEMIS has handled roughly 50 million pathogen notifications and 500,000 disease notifications to date, routed to all 376 local public health authorities. For notifiable pathogens, data quality has been routinely assessed and reported back to the laboratories. On average, 92% (92,378/100,579) of the notifications included a LOINC code. Conclusions: DEMIS plays a key role in digitizing health care. It enables secure data exchange across many stakeholders and interoperable data processing across different software systems. Operations have functioned reliably since rollout. Ongoing routine data quality assessment could further enhance DEMIS performance. As DEMIS expands to other surveillance systems, continued discussion on semantic interoperability is necessary.

Indexed as

Communicable DiseasesMandatory ReportingCOVID-19Digital HealthDisease NotificationElectronic Health RecordsGermanyHealth Information InteroperabilityHumansPandemicsSARS-CoV-2FHIRhealth information technologypublic healthsurveillanceterminology

Identifiers

PMID42753233
PMCPMC13585306

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.