SwissPedData: Standardising hospital records for the benefit of paediatric research
Authors: Jaboyedoff Manon , Rakic Milenko , Bachmann Sara , Berger Christoph , Diezi Manuel , Fuchs Oliver , Frey Urs , Gervaix Alain , Glücksberg Amalia Stefani , Grotzer Michael , Heininger Ulrich , Kahlert Christian R. , Kaiser Daniela , Kopp Matthias V. , Lauener Roger , Neuhaus Thomas J. , Paioni Paolo , Posfay-Barbe Klara , Ramelli Gian Paolo , Simeoni Umberto , Simonetti Giacomo , Sokollik Christiane , Spycher Ben D. , Kuehni Claudia E. 
Published: June 2021

AbstractBackgroundImprovement of paediatric healthcare is hampered by inefficient processes of generating new evidence. Clinical research often requires extra encounters with patients, is costly, takes place in an artificial situation with a biased selection of patients, and entails long delays until new evidence is implemented into health care. Electronic health records (EHR) contain detailed information on real patients and cover the entirety of patients. However, the use of EHR for research is limited because they are not standardized between hospitals. This leads to disproportionate amounts of work for extracting data of interest and frequently data are incomplete and of poor quality.AimsSwissPedData aims to lay the foundation for a paediatric learning health system in Switzerland by facilitating EHR-based research. In this project, we aimed to assess the way routine clinical data are currently recorded in large paediatric clinics in Switzerland and to develop a national EHR-based common data model (CDM) that covers all processes of routine paediatric care in hospitals.MethodsA taskforce of paediatricians from large Swiss children’s hospitals reviewed the current status of routine data documentation in paediatric clinical care and the extent of digitalization. We then used a modified Delphi method to reach a broad consensus on a national EHR-based CDM.ResultsAll Swiss children’s hospitals use EHR to document some or all aspects of care. 119 paediatricians, representing eight hospitals and all paediatric subspecialties, participated in an extended Delphi process to create SwissPedData. The group agreed on a national CDM that comprises a main module with general paediatric data and sub-modules relevant to paediatric subspecialties. The data dictionary includes 336 common data elements (CDEs): 76 in the main module on general paediatrics and between 11 and 59 CDEs per subspecialty module. Among these, 266 were classified as mandatory, 52 as recommended and 18 as optional.ConclusionSwissPedData is a CDM for information to be collected in EHR of Swiss children’s hospitals. It covers all care processes including clinical and paraclinical assessment, diagnosis, treatment, disposition and care site. All participating hospitals agreed to implement SwissPedData in their clinical routine and clinic information systems. This will pave the way for a national paediatric learning health system in Switzerland that enables fast and efficient answers to urgent clinical questions by facilitating high-quality nationwide retrospective and prospective observational studies and recruitment of patients for nested prospective studies and clinical trials.