information technology in development
DI Tech is a US-based branch of Development International specialized in providing IT solutions in the fields of public health, healthcare, and international development.
In sum, we perform software development and IT consulting for the purposes of enhanced health and development outcomes. From clinical trials to dynamic interfaces, we support numerous facets of IT applied to the health and development domains.
Custom user interfaces
The DI team was honored to provide the customized software development underpinning the Substance Use Measure Identification (SUMI) tool hosted at HPTN.org. Spearheaded by the Substance Use Scientific Committee (SUSC) of the HIV Prevention and Trials Network (HPTN), SUMI is a web-based, interactive tool to assist researchers in identifying the proper measures and survey instruments with which to assess substance use in the setting of HIV.
To foster the efficient functioning of systems involving transactional data, we contribute anti-fraud solutions. Our fraud detection solutions correlate data against the target population's behavior in real time to reduce time-to-detection and minimize losses. Anomalies are detected through multiple empirical data collection points and subsequent data triangulation.
Infectious disease reporting systems
Public health surveillance involves early warning mechanisms that detect and securely report on one or multiple infectious diseases. In China we set up just such a system for HIV monitoring purposes.
RCT in clinical trials
In randomized controlled trials (RCT), study subjects are randomly allocated to two or more groups, treating them differently, and then comparing them with respect to a measured response. The intervention group receives the treatment being assessed, while the control group receives an alternative condition, such as a placebo or no intervention. The groups are followed under conditions of the trial design to determine the effectiveness and efficacy of the intervention. For a number of years, we have advised the Substance Use Scientific Committee (SUSC) of the HIV Prevention and Trials Network (HPTN) on clinical study design and execution.
To text mine information in a natural language context, we apply a bespoke software that identifies relevant text (stating the likelihood of fit in %) and the human performs the last mile verification.
For year-over-year data visualization and knowledge management purposes, we plot data (with Studio R) on interactive charts.
While we are based in the US, and the technology we apply is cutting-edge, we also tailor our solutions to the developing context as we understand host-country limitations. In short, our solutions are customized based on specific country settings/environments.