First-line COVID-19 portal: Development of best practices for first-line COVID-19 rehabilitation based on digital knowledge sharing.
- Funded by Netherlands Organisation for Health Research and Development (ZonMW)
- Total publications:0 publications
Grant number: 1.043E+13
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Key facts
Disease
COVID-19Start & end year
20202021Funder
Netherlands Organisation for Health Research and Development (ZonMW)Principal Investigator
Dr LJ. Beijer MAResearch Location
N/ALead Research Institution
Hogeschool van Arnhem en NijmegenResearch Priority Alignment
N/A
Research Category
Clinical characterisation and management
Research Subcategory
Supportive care, processes of care and management
Special Interest Tags
Digital Health
Study Type
Clinical
Clinical Trial Details
Not applicable
Broad Policy Alignment
Pending
Age Group
Unspecified
Vulnerable Population
Unspecified
Occupations of Interest
Health Personnel
Abstract
Cause Due to COVID-19, the pressure on healthcare increased exponentially. Healthcare providers in hospitals (secondary and tertiary care) and in care practices outside of them (primary care) were confronted with a new clinical picture that has a long-term impact on the functioning of patients. While the care processes for this new target group are concentrated and organized in hospitals, individual healthcare professionals in primary care practices are still searching. Protocols and knowledge about effective COVID-19 rehabilitation are still often lacking. That is why these healthcare professionals experience a great need for mutual information sharing and communication around the patient. A complete overview of diagnoses and treatment should provide insights into effective, efficient COVID-19 rehabilitation. Results The first-line COVID-19 portal offers a radically new approach to information sharing and communication around an individual patient, whose wishes and needs are the starting point for treatment. The healthcare professionals involved can at any time consult 'real time' information via the portal about activities related to the healthcare demand that are known from various sources.