AI Article Synopsis

  • ePOCT+ Development
  • : A new electronic clinical decision support algorithm (CDSA), called ePOCT+, was created to help reduce childhood mortality and improve antibiotic prescribing practices in low- and middle-income countries by guiding clinicians to follow established medical guidelines.
  • medAL-Suite
  • : The medAL-suite software was developed to streamline the creation and application of CDSAs, allowing healthcare professionals without technical skills to design algorithms easily, using tools like medAL-creator and medAL-reader for consultations.
  • Validation and Future Plans
  • : The algorithms underwent thorough reviews and usability tests by experts across several countries to ensure clinical relevance, with ongoing clinical validation studies planned in Tanzania, Rwanda, Kenya, Senegal, and India

Article 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 Previously identified challenges of CDSAs include their limited scope, usability, and outdated clinical content.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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931356PMC
http://dx.doi.org/10.1371/journal.pdig.0000170DOI Listing

Publication Analysis

Top Keywords

epoct+ medal-suite
8
clinical
8
electronic clinical
8
clinical decision
8
decision support
8
digital platform
8
pediatric outpatients
8
outpatients low-
8
low- middle-income
8
development
6

Similar Publications

Article Synopsis
  • ePOCT+ Development
  • : A new electronic clinical decision support algorithm (CDSA), called ePOCT+, was created to help reduce childhood mortality and improve antibiotic prescribing practices in low- and middle-income countries by guiding clinicians to follow established medical guidelines.
  • medAL-Suite
  • : The medAL-suite software was developed to streamline the creation and application of CDSAs, allowing healthcare professionals without technical skills to design algorithms easily, using tools like medAL-creator and medAL-reader for consultations.
  • Validation and Future Plans
  • : The algorithms underwent thorough reviews and usability tests by experts across several countries to ensure clinical relevance, with ongoing clinical validation studies planned in Tanzania, Rwanda, Kenya, Senegal, and India
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!