Hospital Data Sharing Agreement
Despite this lack of guidance, the experience of beacon communities highlights promising strategies for addressing complex governance issues that may be useful to other organizations or communities that are setting up an exchange of information to support delivery system transformation. Unlike many aspects of health information technology, in which different interest groups strive to further develop and adopt common standards (e.g. B data elements, vocabulary, transport protocols, patient identifiers, etc.), DSAs and governance guidelines are adapted to virtually all levels and depend on many factors. Due to the number and diversity of potential partners involved in community-based IQ initiatives and the variability between existing national legislation, this is particularly true at the municipal level. However, some generalizations can be drawn from the diversity of experiences of beacon communities and applied to the efforts of others. It is worth noting the importance of trust, multi-stakeholder input, a clear promise of value and common qi goals. Instead of presenting a compelling case for action, the Cincinnati team found that introducing the full scope of these proposed data exchange activities raises more concerns than could be managed at the start of a new initiative. In retrospect, the team suspects that a small initial request, followed by others, after gaining some traction at the first, might have led to a faster buyout. When they started asking for small «bites in the apple,» designing very short, very tightly written DSAs that required certain types and proposed uses of data, the comfort level increased and the process began to move faster. Policymakers can support these efforts by providing additional guidance on data governance through guidelines, programmes and, in some cases, rules. Some of this work is ongoing; In addition to the ONC governance framework, the ONC (in collaboration with the National eHealth Collaborative) has created the National HIE Governance Forum, which brings together important interest groups to find solutions to common data governance challenges at local, national and national levels.
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