qwerr

 qwerr Dissertation

Chapter A single provided a review of the various kinds of medical data and information which might be generated and used by medical organizations. We all established the importance of understanding health care data and details in order to reach the goal of having effective healthcare information devices. There is another fundamental facet of health care data and data that is central to producing effective medical information systems—data quality. Consider for a instant an organization with sophisticated medical care information devices that affect every type of health care data, from affected person specific to knowledge based. What if the caliber of the paperwork going into the systems can be poor? Suppose there is no assurance that the reviews generated through the systems are accurate or perhaps timely? Just how would the users of the devices react? Happen to be those information systems beneficial or detrimental to the organization in achieving its goals?

From this chapter we will look at several facets of data quality. We begin by distinguishing between health care data and healthcare information. We all then look at some challenges associated with poor-quality health care data, both in an organizational level and throughout organizations. The topic continues with a presentation of two models of rules that can be used in evaluating info quality and ends with an examination of the major types of medical data errors.

Within the broad category of data and details created internally by the medical organization, we will give attention to clinical and administrative details directly linked to the activities surrounding the patient come across, both the person encounter and the collective encounter. We break information linked to the patient encounter into the subcategories of patient specific, mixture, and comparison. Our focus is for the clinical and administrative person and aggregate health care information that is connected with a patient face. Table...

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