Highlights
- •Clinical decision support with individualized patient education supports evidence-based practice.
- •Multidisciplinary teams are essential for creating technology that is acceptable and useful.
- •Engineering principles are helpful in the development of technology for decision support.
Abstract
Clinical decision support with individualized patient education information can facilitate
the translation of evidence-based guidelines into practice to improve pediatric patient
outcomes. Interdisciplinary teams are required to develop and implement this technology
support into practice. Engineering expertise with attention to three components is
required: backend (e.g., data science, predictions), front end (e.g., user interface),
and integration (e.g., workflow) must be addressed to achieve useful technology that
will be adopted. An engineering framework, Technology Acceptance Model, can be used
to guide the development of clinical decision support with patient education materials
and includes a partnership with end users, both clinicians and patients.
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Article info
Publication history
Published online: August 25, 2020
Accepted:
August 12,
2020
Received:
March 29,
2020
Footnotes
☆This work was supported by grant number 1R18HSO18646-01A1 from the Agency for Healthcare Research and Quality.
Identification
Copyright
© 2020 Elsevier Inc. All rights reserved.
