Description of Session
eHealth architecture frameworks are often developed and implemented in a manner that does not prioritize a core component, the Health Worker Registry or human resource information system (HRIS), which is typically non-existent, of poor quality, or underutilized, hindering advancements in digital health. This can limit use of health workforce data by central, district and facility level managers and negatively affect health systems equity, quality, and resource optimization. Jointly presented by the Human Resources for Health in 2030 Program (HRH2030) and the Ministry of Health (MOH) of Indonesia, this session will explore innovative approaches used to develop and operationalize World Health Organization’s (WHO) National Health Workforce Accounts (NHWA) to advance digital health, specifically HRIS, and improve the availability and use of HRH data to promote higher-performing health systems. We will describe how HRH2030 in collaboration with the MOH used the HRIS Assessment Framework (HAF) to measure the baseline functionality and capacity of the HRIS of Indonesia using a set of core indicators and highlight lessons learned from applying an information-specific maturity model. We will present how the HAF findings allowed Indonesia to understand how to strategically operationalize NHWA through leveraging the existing eHealth Architecture of the MOH for sustainability, deploying OpenHIM for interoperability at national level, and by utilizing Tableau and DHIS2 to develop a national HRH datawarehouse and business intelligence products to improve data access, quality and use at every level. Presenters will demonstrate governance processes for data quality improvement and use, architecture used for interoperability, and live demos of business intelligence products. Ultimately this multi-faceted approach led to an overall strengthened the HRIS of Indonesia, that is interoperable with other health workforce stakeholders outside of the MOH, resulting in improvements in quality and use of HRH data to make decisions that further impact health outcomes.
