Abstract
Clinical research is fundamental in acquiring evidence to improve healthcare. Digitalisation has enabled new opportunities for research. The ability to collect, store, process, and analyse vast amounts of data in structured and unstructured format supports both care processes and secondary use of collected data for generating research evidence. However, issues with data quality, the limitations of available technologies and infrastructure, as well as a lack of competence regarding context, substance, and data processing hinder the efficient and safe use of data for research. This may also lead to misinterpretations and unfounded conclusions. It is therefore important for all actors involved in collecting and using data to understand their role in these processes and have competence to critically analyse and systematically improve their part. Collaboration and co-creation between practitioners, researchers, and service users, among different disciplines and professions is needed to understand the perspectives, needs, risks, possibilities and contributions of all involved. This chapter discusses; 1) the role of nurses and midwives in generating data that enables research, 2) technologies available for nurse and midwifery scientists, and 3) how data is transformed to support evidence-based practice for better outcomes.
Original language | English |
---|---|
Title of host publication | Harnessing Digital Technology and Data for Nursing Practice |
Editors | Natasha Phillips, Gemma Stacey, Dawn Dowding |
Place of Publication | London |
Publisher | Elsevier |
Chapter | 14 |
Edition | 1st |
ISBN (Electronic) | 9780443112676 |
ISBN (Print) | 9780443111600 |
Publication status | Published - 9 Dec 2023 |