Data exchange is an integral part of the provision of the 10 essential public health services by all public health authorities: health surveillance; Diagnosis and examination inform, educate, enable it to do so; Mobilizing community partnerships Developing strategies Enforcement of health and safety laws; link to/maintenance; Ensure that skilled workers assess the safety of the workforce; Research. In addition, the sharing and analysis of cross-sector data is essential to create both individual and community perspectives. The exchange of data is of such importance to public health that Public Health 3.0 prioritizes data exchange at the federal, national and local levels with the goal of building a learning health care system that uses evidence to improve the quality and value of health care that includes public health by 2024. While all organizations involved in the exchange of electronic data must address governance issues and create ASDs accordingly, until recently there were few formal guidelines, particularly for community initiatives. Despite this lack of direction, the experience of beacon communities combines promising strategies to address complex governance issues that may be useful to other institutions or communities to launch information-sharing efforts to support the transformation of deployment systems. In addition to the investments in technical infrastructure required to enable data exchange, the development costs of the DSA are also considerable, taking into account the time spent on the participation of advisory committees and legal advisors. A Beacon community estimated the expenditure of more than $32,000 for the development of primary DSA alone (based on a model of another community, no background in come). This estimate does not include the time or money spent negotiating with potential participants or the final legal verification and signature of participants. The Southeast Michigan Beacon followed a similar approach by excluding vendor-specific comparative data from aggregated data collected quarterly for evaluation purposes. Suppliers involved in the clinical transformation and optimization of the EY system have received analyses that are specific only to their organization, with community averages and, in some cases, national repositories for information purposes, but have not received practical comparative data.
As a general rule, public health policy and public law require that a data-sharing agreement be signed by the data manager and data requester before the data is transmitted. A data exchange agreement defines the legal authority that supports data sharing, defines and documents the conditions for sharing, and describes oversight and accountability. In 2010, the ONC funded 17 municipalities in the United States through the Beacon Community Cooperative Agreement Program, a three-year initiative to demonstrate the impact of the use of health computing, to achieve improvements in care and reduce costs. Most of the Beacon community`s interventions required the exchange of clinical information in the Community to facilitate various activities, including health care coordination, laboratory results, quality reporting, quality improvement and population health management. The Communities launched an exchange of information with institutions that were not considered « partners » in the provision of care services; These included service providers (hospitals). B, primary or specialized care practices, long-term care centres, hospices), laboratories, health plans, public and local health information exchange, research centres, it providers of computer services and health services (e.g. B analysis or reporting services), quality improvement agencies (QIOs), public health authorities and other public authorities (e.g.