Graphical analysis of guideline adherence to detect systemwide anomalies in HIV diagnostic testing.
Ronald George HauserAnkur BhargavaCynthia A BrandtMaggie ChartierMarissa M MaierPublished in: PloS one (2022)
We developed a method that modeled a complex medical scenario as a directed graph. When applied to HIV diagnostic testing, we identified deviations in clinical practice from guideline recommendations. The model enabled the identification of intervention targets and prompted systemwide policy changes to enhance HIV detection.
Keyphrases
- antiretroviral therapy
- hiv positive
- hiv infected
- hiv testing
- human immunodeficiency virus
- clinical practice
- hepatitis c virus
- hiv aids
- men who have sex with men
- healthcare
- public health
- randomized controlled trial
- south africa
- mental health
- type diabetes
- machine learning
- convolutional neural network
- adipose tissue
- real time pcr
- sensitive detection