Driving the usage of tuberculosis diagnostic data through capacity building in low- and middle-income countries.
Natasha M GousAlaine U NyaruhiriraBradford CunninghamChris MacekPublished in: African journal of laboratory medicine (2020)
The training programme empowers local tuberculosis programme staff to discover and fix critical inefficiencies, provides high-level technical and operational support to the tuberculosis programme, and provides a platform for continued sharing of insights and best practices between countries. It supports the notion that connectivity can increase efficiencies and clinical benefits with better data for decision making, if coupled with commensurate capacity building in data analysis and interpretation.
Keyphrases
- data analysis
- mycobacterium tuberculosis
- study protocol
- pulmonary tuberculosis
- decision making
- hiv aids
- electronic health record
- primary care
- healthcare
- big data
- adverse drug
- social media
- randomized controlled trial
- emergency department
- resting state
- high throughput
- health information
- clinical trial
- white matter
- multiple sclerosis
- artificial intelligence
- double blind