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What services for the Healthcare Data Ecosystem?

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What services for the Healthcare Data Ecosystem?

This article continues the examination of the aspects to be managed to create value for healthcare professionals and citizens.

In the previous article, which you can find here, I illustrated why the services will determine whether or not the success of the ESF 2.0. In conclusion I posed a key question, namely which services the EDS should expose, whether to limit itself to data only or include processing or functions on them.

Let’s try to delve deeper into this aspect which has various implications. First, however, we need to think about how EDS will be used: it will be a backend that will be called up by the clinical systems that healthcare professionals already use, primarily the Electronic Medical Record, or it will include its own front-end that will have to be used by users or even both? The most correct answer is the third, as it is not reasonable to think that professionals, during clinical practice, should use an additional system to those they already use (and which are quite a few).

The situation is different for citizens. In their case it is more likely that the ESF will be the front-end with which they will use the services made available although, even in this case, they could use a regional app that is integrated with the EDS.

In the first case (data only) the logic and intelligence to process and represent the data would be the responsibility of the systems “of consumption”, in the second (data plus functions) would be borne by the EDS. Clinical systems could thus take advantage of a series of already developed functions, which can be recalled and displayed easily, for example within windows.

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Establishing advanced services on the EDS would make it possible to increase its value, providing not only data but information and ultimately knowledge to users, in a uniform way, without differences between one system and another.

But what are the services that could be created in this second sense, with or without artificial intelligence? Let’s try to list some of them:

Advanced viewers, capable of aggregating and correlating data and information according to clinical criteria, for example by time scope and/or by pathology. It is a type of function that is truly necessary to represent in a concise and effective way the many data, especially of chronic patients and the elderly, Dashboards specialized by pathology or function, for example diabetes or the reconciliation of drug therapy, Clinical decision support (DSS) based on Evidence Based Medicine to guide and suggest the diagnosis and treatment of pathologies, Access to guidelines, protocols and scientific evidence in a contextual and patient-relevant way.

The functions can also be hybrid, i.e. composed of multiple services, in an integrated view, as for example the Diagnostic Specific Overview of EBMEDS, a CDSS produced by Duodecim and distributed in Italy exclusively by Alkimiya.

Certifying and centralizing services on EDS allows you to reduce the development time and costs necessary compared to the choice of duplicating them on multiple systems, not to mention the burden of MDR certification for those services that fall within it (as for example in the example shown – MDR class IIA).

But what services can, in concrete terms, be created once the EDS is populated with the data extracted from the CDA documents? To answer this question we must examine in detail the data provided by the specifications that have been released.

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This is what we will do in the next article.

2 – Continue

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