Team Gesundheit GKV Claims data

First published 21/11/2022

Last updated 29/04/2026

Data source

Human

Administrative healthcare records (e.g., claims)

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The data source contains the following information

Disease information Does the data source collect information with a focus on a specific disease? This might be a patient registry or other similar initiatives.: No

Rare diseases Are rare diseases captured? In the European Union a rare disease is one that affects no more than 5 people in 10,000.: Yes

Pregnancy and/or neonates Does the data source collect information on pregnant women and/or neonatal subpopulation (under 28 days of age)?: Yes

Hospital admission and/or discharge: Yes

ICU admission Is information on intensive care unit admission available?: Yes

Cause of death: Not Captured

Prescriptions of medicines: Captured

Prescriptions vocabulary: other

Prescriptions vocabulary, other: PZN, DIMDI-ATC

Dispensing of medicines: Captured

Dispensing vocabulary: other

Dispensing vocabulary, other: PZN, DIMDI-ATC

Advanced therapy medicinal products (ATMP) Is information on advanced therapy medicinal products included? A medicinal product for human use that is either a gene therapy medicinal product, a somatic cell therapy product or a tissue engineered products as defined in Regulation (EC) No 1394/2007 [Reg (EC) No 1394/2007 Art 1(1)].: Yes

Contraception Is information on the use of any type of contraception (oral, injectable, devices etc.) available?: Yes

Indication for use Does the data source capture information on the therapeutic indication for the use of medicinal products?: Captured

Indication vocabulary: Other

Indication vocabulary, other: ICD10 GM

Medical devices Is information on medicinal devices (e.g., pens, syringes, inhalers) available?: Yes

Administration of vaccines: Yes

Procedures Does the data source capture information on procedures (e.g., diagnostic tests, therapeutic, surgical interventions)?: Captured

Procedures vocabulary: OPCS

Other

Procedures vocabulary, other: EBM

Clinical measurements Is information on clinical measurements (e.g., BMI, blood pressure, height) available?: No

Healthcare provider Is information on the person providing healthcare (e.g., physician, pharmacist, specialist) available? The healthcare provider refers to individual health professionals or a health facility organisation licensed to provide health care diagnosis and treatment services including medication, surgery and medical devices.: Yes

Genetic data Are data related to genotyping, genome sequencing available?: Not Captured

Biomarker data Does the data source capture biomarker information? The term “biomarker” refers to a broad subcategory of medical signs ( objective indications of medical state observed from outside the patient), which can be measured accurately and reproducibly. For example, haematological assays, infectious disease markers or metabolomic biomarkers.: Not Captured

Patient-reported outcomes Is information on patient-reported outcomes (e.g., quality of life) available?: No

Patient-generated data Is patient-generated information (e.g., from wearable devices) available?: No

Units of healthcare utilisation Are units of healthcare utilisation (e.g., number of visits to GP per year, number of hospital days) available or can they be derived? Units of healthcare utilisation refer to the quantification of the use of services for the purpose of preventing or curing health problems.: Yes

Unique identifier for persons Are patients uniquely identified in the data source?: Yes

Diagnostic codes: Captured

Diagnosis / medical event vocabulary: Other

Diagnosis / medical event vocabulary, other: ICD-10-GM

Medicinal product information: Captured

Medicinal product information collected: Brand name

Dose

Formulation

Package size

Route of administration

Strength

Medicinal product vocabulary: Other

If 'other,' what vocabulary is used?: PZN

Quality of life measurements: Not Captured

Lifestyle factors: Not Captured

Sociodemographic information: Captured

Sociodemographic information collected: Age

Education level

Gender

Living in rural area

Sex