Agreement Before Health Data Exchange Implementation Research Paper

Health Data Exchange (HIE) could also be outlined because the digital trade of particular health-related data between medical services with the usage of nationally acknowledged and usually accepted requirements. It goes with out saying that the implementation of HIE has a number of appreciable advantages. For occasion, the well being data digital motion has an ideal potential to enhance the final high quality of well being care supply, its effectiveness and effectivity, and affected person security. In addition, HIE might facilitate communication between well being care suppliers, cut back well being care prices, reduce well being care errors, and enhance public well being management.

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HIE is immediately linked with the time period interoperability outlined because the “ability of two or more systems or components to exchange information and to use the information that has been exchanged” (Benson & Grieve, 2016, p. 20). In the well being care system, HIE additionally refers to all kinds of interoperability, together with technical, semantic, course of, and scientific interoperability (Benson & Grieve, 2016). For instance, if a mom with a new child is discharged from the hospital following beginning and subsequently referred to a pediatric clinic for surveillance and follow-up, her affected person knowledge and the kid’s knowledge ought to be precisely transferred between medical services.

In basic, interoperability is an immeasurably advanced course of, which volumes are even onerous to think about – just one massive hospital might course of a number of million HL7 messages per day (Benson & Grieve, 2016). That is why it goes with out saying that the requirements of this course of in relation to the system and its segments ought to be mentioned and agreed to be able to keep away from confusion and knowledge variability. The significance of this settlement is moreover decided by the truth that “every type of computer system stores data internally in a different way” (Benson & Grieve, 2016, p. 24). That is why each data transaction ought to be outlined in unambiguous, stringent element being part of a constant, coherent, computer-readable, and full set of specs.

Along with the distinctive means of each medical facility’s working and considering, variability and, consequently, errors could also be attributable to the heterogeneity of knowledge within the case of the absence of generally accepted variants. Information particulars of hundreds of sufferers might differ and a medical facility doesn’t have sufficient sources to test each document earlier than transmission (Benson & Grieve, 2016). For occasion, in regards to the girl with the kid talked about above, she might have a number of addresses and use both her maiden or married title for various information. These details assist the need of widespread settlement upon data and the system’s segments as effectively.

As a matter of reality, HL7 segments are the teams of fields that comprise several types of knowledge. The principal segments embody the message header (MSH), affected person identification particulars (PID), occasion sort (EVN), request and specimen particulars (OBR), patent go to (PV1), and end result particulars (OBX), and Z-segments (Benson & Grieve, 2016). Both sending and receiving programs ought to lend a hand with every phase’s content material as surprising segments might trigger appreciable points inside a receiving system, misunderstanding, and malpractice. That is why the results of segments, HL7 construction, and knowledge varieties ought to be standardized by organizations earlier than the implementation of HIE. For occasion, stakeholders ought to agree to make use of solely the affected person’s NHS quantity as a substitute of a Patient inside identifier, married title (within the case of feminine sufferers), residence tackle, and the unified normal of analyses’ documentation.


Benson, T., & Grieve, G. (2016). Principles of well being interoperability: SNOMED CT, HL7 and FHIR (3rd ed.). Springer.

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