Examples of situations where this level of granularity may be optimum include access to a list of allergies at the time of medication dispensation, or information reconciliation at the time of hospital admission.Įach granularity level delivers unique benefits and this profile provides efficient access to both levels. This level of granularity is optimum when the list of data elements relevant to a “time span” or a set of encounters is of interest. Data Element-Level Granularity: access a specific type of data element (e.g., vital signs, medications, etc.).This level of granularity is optimum to ensure that contained data has clarity of context in care delivery and reflects source attestation (responsibility) of clinical data shared. Document-Level Granularity: share and access documents as a composition of various data elements to reflect the information known and produced during a care or administrative workflow step.These two profiles are based on the reality that health information sharing relies on different granularities of exchange: They enable the deployment of health data exchange infrastructures where fine-grained access to health data coexists and complements the sharing of coarse-grained documents and the fine-grained data elements they contain. The QEMm Profile has been designed to be used in conjunction with the Mobile Cross-Enterprise Document Data Element Extraction (mXDE) Profile.Ĭombining these two profiles provides the means to access data elements extracted from shared structured documents. (e.g., tablets, smartphones, and embedded devices including home-health devices, but also larger systems where needs are simple, such as pulling the latest summary for display). The term “mobile” should be considered in a wider sense: it identifies not only mobile applications, but the whole class of systems that are resource- and platform-constrained. It’s functionally equivalent to the QED Profile, but is conceived to be implemented by applications specific to mobile devices. It defines a transaction used to query a list of specific data elements, persisted as FHIR resources. The Query for Existing Data for Mobile Profile (QEDm) supports queries for clinical data elements, including observations, allergy and intolerances, conditions, diagnostic results, medications, immunizations, procedures, encounters and provenance by making the information widely available to other systems within and across enterprises.
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