[Paediatric digital clinical decision support for global health].
Fenella BeynonTalia SalzmannPapa Moctar FayeAliou ThionganeOusmane NdiayeLameck Bonaventure LuwandaMontolnan AlladiguimbaiFlorian TriclinMelissa Harper ShehadehJavier Amos ElkinSophie DelaigueRainer TanPublished in: Revue medicale suisse (2023)
Effective, scalable and sustainable strategies to improve quality of care are needed to address the substantial burden of preventable deaths of children under-five in resource-constrained settings. Clinical decision support systems (CDSS), digital tools which generate recommendations for healthcare providers based on patient-specific information, show promise. By strengthening adherence to evidence-based assessment, diagnosis and management and generating high-quality data, CDSS can improve quality care - care that is effective, safe, people-centered, timely, equitable, integrated and efficient. Designing and implementing CDSS that deliver this impact is a complex and iterative process. We advocate for collaboration on developing and evaluating these tools to guide their implementation for maximal impact.
Keyphrases
- clinical decision support
- healthcare
- quality improvement
- electronic health record
- palliative care
- global health
- public health
- affordable care act
- primary care
- intensive care unit
- young adults
- big data
- type diabetes
- health information
- resistance training
- heart rate
- clinical practice
- magnetic resonance
- machine learning
- insulin resistance
- deep learning
- image quality
- social media
- high intensity
- artificial intelligence
- data analysis
- glycemic control
- drug induced