|Supplemental German LOINC translations|
This Questionnaire captures the questions used in the CovApp, which can help citizens to better assess their medical condition, provides recommendations regarding doctor’s visits or coronavirus testing, and summarizes relevant medical information for future doctor’s consultation. The app is available at https://covapp.data4life.care. The source code is freely available at https://github.com/d4l-data4life/covapp. FAQ can be found at https://www.d4l.io/blog/covapp-faq/.
The associated FHIR artifacts were developed by Data4Life in cooperation with
This implementation guide describes how to use FHIR to capture the questions asked by the CovApp and the corresponding output (set of answers). Despite being based on the CovApp, it is a general specification that is not tied to a specific software implementation and can be used in other scenarios.
The core FHIR artifact is the Questionnaire resource, which defines the COVID-19-related questions. This resource also defines the structure of a valid set of answers. Such answers can be captured with a QuestionResponse FHIR resource, for which we provide an example. The CovApp can also generate QuestionnaireResponse FHIR output directly.
To clearly label and classify the collected information, we use codes coming from standard or custom systems of codes (CodeSystem resources). The relevant codes are bundled in value sets (ValueSet resources) containing sets of codes used for a specific purpose, for example, allowed answers to a multiple-choice question. When answer sets are captured as QuestionnaireResponse resources, the answers to multiple-choice questions are stored as codes from the corresponding value set. The link between questions and answer value set is given in the Questionnaire resource. This connection between answers and value set codes ensures interoperability as it provides a translation-independent interpretation of the answers.
All resources are provided in two versions, one with texts in English and one with texts in German. The only exception are CodeSystem resources, which include labels for both languages.
Though great care has been taken in the preparation of this implementation guide, this implementation guide is provided "as is“ without warranty of any kind and D4L data4life gGmbH, as well as cooperation partners, shall in no event be liable for any claims, direct or indirect damages and the like arising from, out of or in connection with the implementation guide or its use.
The material in this specification is public. Users are free to copy, modify, and redistribute this material without any restrictions.
The above copyright notice, the disclaimer and this permission notice shall be included in all copies or substantial portions of this implementation guide.
This implementation guide copyright © 2020 D4L data4life gGmbH, Berlin Institute of Health, MOLIT Institute, Health Innovation Hub, Charité - Universtätsmedizin Berlin.
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