Information Technology
The five founding members of BORN (Ontario Maternal Multiple Marker Screening, Fetal Alert Network, Ontario Midwifery Program, Niday Perinatal Database and Ontario Newborn Screening) are integrating their data into one accurate and timely maternal-child registry to form the authoritative information system needed to realize BORN Ontario’s vision.
The information gathered will support the Ministry of Health and Long-Term Care (MoHLTC), Local Health Integration Networks (LHINs) and Public Health Units of Ontario in measuring maternal-child health status and outcomes, developing responsive health policies and improving evaluation and accountability. Hospitals and midwifery groups, as well as Provincial Screening Programs, will leverage the information for planning, monitoring, performance management and quality improvement. Healthcare providers and patients will be supported as BORN helps ensure individuals have been offered all of the resources available to them across the maternal/child care continuum. Finally, BORN will contribute to hypothesis-generating research and innovation.
Through a rigorous and transparent Request for Proposal (RFP) process, Dapasoft Inc., a healthcare technology firm, has been selected to develop a robust maternal child information system under the direction of BORN staff and other subject matter experts in Ontario. The project began early in 2010 and is scheduled to take 15 months to complete. Click here for an update on the BORN Build project.
Stakeholder engagement is a fundamental principle of this system build project. The BORN member representation used during the vendor selection process is expected to continue through the project to help ensure ‘users’ needs are clearly understood and any concerns and impacts are addressed.
Database users across the community will be asked to participate in the design, review and testing of the new system. If you are interested in participating, please contact the team at build@BORNOntario.ca The technology will be developed using a phased approach to minimize the impact on users and maximize the opportunities to integrate feedback back into the system. Users will be provided information and training well in advance of anticipated changes.
