Maternal and neonatal mortality in developing countries, are still above millennium United Nations Goals. Main causes of maternal deaths are hemorrhage, sepsis and hypertension. Most complications and deaths are related to poor quality of care during pregnancy and childbirth. Current methods for prenatal risk identification are paper-based and depends highly on providers’ memory. Regardless of multiple efforts, early identification of prenatal risks and subsequent management is still challenging.
We will develop and validate an intelligent computerized assistant for community health workers (CHW), which will operate alongside a web-based information system called HADA that integrates the strategy proposed by Pan-American Health Organization(PAHO) and its Latin-American Center for Perinatology, Women and Reproductive Health (CLAP). HADA stands for “toolset for antenatal assistance and diagnosis” or “Herramientas para la Asistencia y el Diagnóstico Antenatal” in spanish, and it provides capabilities to record prenatal encounters, while also connected with a computational engine (knowledge-driven), helping to identify obstetric risk and generate recommendations for lab test and medications. In addition, HADA enables telemedicine asynchronous encounters when required based on the capacity of data interchange by electronic medical record (EMR) with a specialized center.
Our intelligent computerized assistant (ICA) will allow and enhance community health workers (CHW) capabilities providing just-in time feedback, patient-centered recommendations for scheduling further visits, additional studies, and referrals to specialized care, taking advantages of the already tested functions of HADA. ICA will run in mobile devices without need of active connectivity. Records generated by ICA will be transmitted to a centralized electronic health record once connectivity is available. Teleconsultation will be possible when connectivity allows it.
HADA has already been on 6 months’ pilot trial with a small rural hospital testing the web-based platform and a business model. We hope the ICA development and validation will provide information and new services that could lead to build a sustainable business model.
CHW are often the sole contact with health services for vulnerable populations in Low-Middle income countries. Enhancing CHWs capabilities in data collection, patient follow-up, risk identification, promptly referrals and teleconsultation. This translates in a broader coverage and better care opportunity. We expect that this type of intervention impacts positively in reducing maternal and perinatal deaths and pregnancy complications related with diabetes, hemorrhage, sepsis and hypertension in high vulnerable population.