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ePOCT+ and the medAL-suite: Development of an electronic clinical decision support algorithm and digital platform for
Rainer Tan1,2,3,4, Ludovico Cobuccio1,2,4, Fenella Beynon2,4
1Digital and Global Health Unit, Unisanté, Centre for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland.
Insights
We developed ePOCT+, a clinical decision support algorithm (CDSA), and the medAL-suite software to improve pediatric care in low-resource settings. This framework aids CDSA development and implementation for better healthcare quality.
Area of Science:
- Digital health interventions
- Global child health
- Health informatics
Background:
- Clinical decision support algorithms (CDSAs) aim to reduce childhood mortality and inappropriate antibiotic use by promoting guideline adherence.
- Existing CDSAs face challenges with limited scope, usability, and outdated content.
- Developing effective CDSAs requires addressing these limitations, especially in low- and middle-income countries (LMICs).
Purpose of the Study:
- To describe the development process and lessons learned from creating ePOCT+, a CDSA for pediatric outpatient care in LMICs.
- To introduce the medAL-suite, a software enabling the creation and execution of CDSAs by clinicians.
- To outline a systematic, integrative development framework for user-centered digital health tools.
Main Methods:
- Employed digital development principles, focusing on feasibility, acceptability, and reliability of clinical predictors.
- Incorporated expert clinical reviews and health authority input from implementing countries for clinical validity.
- Developed medAL-creator (algorithm design platform) and medAL-reader (mHealth application), involving end-user feedback through extensive feasibility testing.
Main Results:
- Successfully developed ePOCT+ and the medAL-suite, including a user-friendly platform for algorithm creation and an mHealth application for consultations.
- The development process emphasized iterative feedback and collaboration with end-users and clinical experts.
- The framework and open-source medAL-suite are designed to facilitate independent CDSA implementation by others.
Conclusions:
- The systematic development framework for ePOCT+ and medAL-suite offers a replicable model for creating effective CDSAs.
- The open-source medAL-suite empowers healthcare providers to develop and implement context-specific CDSAs.
- Further clinical validation studies are ongoing in multiple African countries and India to confirm the tools' impact.
Abstract:
Electronic clinical decision support algorithms (CDSAs) have been developed to address high childhood mortality and inappropriate antibiotic prescription by helping clinicians adhere to guidelines. Previously identified challenges of CDSAs include their limited scope, usability, and outdated clinical content. To address these challenges we developed ePOCT+, a CDSA for the care of pediatric outpatients in low- and middle-income settings, and the medical algorithm suite (medAL-suite), a software for the creation and execution of CDSAs. Following the principles of digital development, we aim to describe the process and lessons learnt from the development of ePOCT+ and the medAL-suite. In particular, this work outlines the systematic integrative development process in the design and implementation of these tools required to meet the needs of clinicians to improve uptake and quality of care. We considered the feasibility, acceptability and reliability of clinical signs and symptoms, as well as the diagnostic and prognostic performance of predictors. To assure clinical validity, and appropriateness for the country of implementation the algorithm underwent numerous reviews by clinical experts and health authorities from the implementing countries. The digitalization process involved the creation of medAL-creator, a digital platform which allows clinicians without IT programming skills to easily create the algorithms, and medAL-reader the mobile health (mHealth) application used by clinicians during the consultation. Extensive feasibility tests were done with feedback from end-users of multiple countries to improve the clinical algorithm and medAL-reader software. We hope that the development framework used for developing ePOCT+ will help support the development of other CDSAs, and that the open-source medAL-suite will enable others to easily and independently implement them. Further clinical validation studies are underway in Tanzania, Rwanda, Kenya, Senegal, and India.
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