Information Architecture Model Analysis Sample Clauses

Information Architecture Model Analysis. We evaluated the pros and cons of architectural models as they applied to the ALTCDSS. This assessment had a major role in determining the best fit for our project objectives. The image below illustrates the inverse dynamic between the business and the data management component in each IA model. Image Source: Compact Below are the pros, and cons of each model, from a system perspective. Those starred (*) contain the considerations of most concern for the ALTCDSS. Offers the best level of data management; well defined data fields through governance, to include the addition or change in existing fields. More risk on the central location, if other centers do not participate. * Economies of scale can be introduced by using large-scale central resources, if appropriate investments are made. Timeliness. Data submissions from participating systems may lag, resulting in inaccurate consolidated records at query time. Typically, the querying system’s response to a data request is quicker than other models because the data is centrally maintained and consolidated Likely expensive option to implement, not only technically, but organizationally Better expertise in managing central resources due to their scale and class of products used All data must be abstracted into the UI for the central system ie. no possibility for sourcing data from distributed systems. Pros Cons Gives the collaborating centers their own autonomy Difficult to initiate without investment, and considerable IT resources, at each location * Allows the most flexibility within each organization Need to ensure authorized and legitimate access to third-party systems. Data is stored locally at the point of service and accessed only when needed for exchange. * Need to capture consumer consent to opt in and opt out of the decentralized network thus ensuring legitimacy for data usage. Failure of a single system doesn’t cripple the whole model or others in the exchange, but it may make some patient data unavailable at the time of a query. * Most difficult to enforce data governance *