SwissPedData: Standardising hospital records for the benefit of paediatric research

Manon Jaboyedoff1,2, Milenko Rakic1, Sara Bachmann3

  • 1Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.

Swiss Medical Weekly
|December 29, 2021
PubMed

Insights

A new national standard for electronic health record (EHR) data in Swiss pediatric hospitals was developed. This standard, SwissPedData, will improve research efficiency and enable a national pediatric learning health system.

Area of Science:

  • Health Informatics
  • Pediatric Research
  • Clinical Data Management

Background:

  • Paediatric healthcare improvement is hindered by inefficient evidence generation processes.
  • Electronic Health Records (EHR) offer rich patient data but lack standardization for research.
  • Inconsistent EHR data across hospitals leads to poor data quality and increased workload.

Purpose of the Study:

  • To establish a foundation for a paediatric learning health system in Switzerland.
  • To assess current routine clinical data recording in Swiss paediatric clinics.
  • To develop a national set of Common Data Elements (CDEs) for EHR-based paediatric research.

Main Methods:

  • A taskforce of paediatricians reviewed current data documentation and digitalization.
  • A modified Delphi method was employed to achieve consensus on national EHR-based CDEs.
  • Data elements were developed covering all aspects of routine paediatric care.

Main Results:

  • All Swiss children's hospitals utilize EHR; 119 paediatricians from 8 hospitals participated.
  • A national set of 336 CDEs was agreed upon, including a general module and subspecialty modules.
  • 266 CDEs were classified as mandatory, 52 as recommended, and 18 as optional.

Conclusions:

  • SwissPedData provides a standardized set of CDEs for EHRs in Swiss children's hospitals.
  • All participating hospitals will implement SwissPedData, facilitating nationwide research.
  • This initiative will enable a national paediatric learning health system for efficient clinical question answering and improved patient care.
Abstract

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