TORCH: intelligent system support to reduce the risk of congenital infections
Policy and strategy in relation to digital health solutions or services
T – toxoplasmosis O – Other infections, Coxsackie virus, siphilis, varicella, HIV, parvovirus B19, and hepatitis B R – rubeola C – cytomegalovirus H – herpes simplex virus-2 After more than 40 years from TORCH acronym proposal, which gather more pathogens congenital infections are actual, their prevention being a priority for World Health Organization. Risks reduction of TORCH infections primarily involves prevention of infection in pregnant women, which require knowledge about individual status during preconception and knowing the proper way to prevent each infection (rules of hygiene/ vaccination/contact with groups at risk). During pregnancy, TORCH testing should be individualized, and the diagnosis and medical recommendations should be performed accurately because of consequences that can be fatal for the fetus. The project aim is to develop an intelligent system support for women who want to conceive, a system which contains information about the tests in TORCH panel and an online anamnestic questionnaire. In pregnant women case will be developed a smartphone application which besides information regarding tests in TORCH panel and places where you can perform them will be identified, individualized, the optimal time, and also the range of appropriate tests correlated with gestational age and medical history. The intelligent support system is based on modern information technologies, existing at the involved SME, such as CloudView, Constellations, and Web Development. The project will develop the specialized site for TORCH, an application for smart devices, and a dedicated knowledge base.
Impact on health outcomes, Impact on the health system’s capacity and resilience (e.g., health and care efficiency, continuity of care)
There is evidence for economic viability and/or of benefits to the target group of the practice. Further research/development is needed for routine use.
Submitted in other database or repository of digital health resources that is publicly available