Business Process Analysis
We strengthen public health systems through business process analysis. Business process analysis is the logical understanding of how public health work is accomplished. Defining functional requirements (the capabilities required of an information system) is a crucial step in developing or acquiring a new system.
PHII applies a facilitated collaborative approach to developing requirements for public health information systems—our Collaborative Requirements Development Methodology (CRDM)™. Through the CRDM, PHII assists U.S. and global agencies in clearly documenting work processes, identifying areas of improvement, and defining the requirements that outline how information systems should support that work.
As a collaborative process, this approach brings together a diverse group of public health practitioners at all levels of expertise to share best practices, strategies, terminology and nuances. During this process, we often discover that the work and work processes of various public health agencies have more similarities than differences. This approach allows those business processes to be more streamlined and produces a set of information system requirements and other documentation that is common to all, and that can also be tailored to meet individual agency needs. As a result, public health agencies and their partners are able to make informed “buy or build” decisions about their information systems, to ensure the systems’ interoperability with other health departments and federal agencies and to conform to national standards.
Examples of business process analysis
The MNT4P Project
In 2016, the Medical Nutrition Therapy for Prevention (MNT4P) program at Emory University’s Department of Human Genetics engaged with PHII to develop requirements for an information system to evaluate access to medical food and long-term nutritional outcomes for patients. The finished information system will assist MNT4P’s processes for patient application, services and support, reporting and inventory management, which are currently largely manual. Ultimately, this system will empower MNT4P in providing personalized assistance to patients living with metabolic disorders, as well as their families