Medical term ivcd4/28/2023 ![]() ![]() ![]() Moreover, you will be able to contrast the different ways of organizing the information into hierarchies or other categories that facilitates analytical computation. Once the lesson is over, you will be able to match different terminologies such as SNOMED, CPT, LOINC drug terminologies such as RxNorm with different descriptive domains. Each of these covers a specific domain such as procedures of labs, and each has a specific structure just as we would expect from an ontology used to describe complex phenomenon. In this lesson, we will discuss SNOMED, CPT, LOINC, and drug terminologies such as RxNorm. Similar to ICD, there are other terminologies to describe various domains of the medical world. We'll examine the inner workings of data and conceptual harmony offer some solutions to the data integration problem by defining some important concepts, methods, and applications that are important to this domain. We will analyze various types and sources of healthcare data, including clinical, operational claims, and patient generated data as well as differentiate unstructured, semi-structured and structured data within health data contexts. We’ll discuss the various types of healthcare data and assess the complexity that occurs as you work with pulling in all the different types of data to aid in decisions. We'll discuss the common clinical representations of data in healthcare systems, including ICD-10, SNOMED, LOINC, drug vocabularies (e.g., RxNorm), and clinical data standards. We'll cover different concepts and categories of healthcare data and describe how ontologies and related terms such as taxonomy and terminology organize concepts and facilitate computation. We'll learn about the Triple Aim and other data-enabled healthcare drivers. We'll learn about the many facets to consider in healthcare and determine the value and growing need for data analysts in healthcare. Healthcare is unique because it is associated with continually evolving and complex processes associated with health management and medical care. This course will help lay the foundation of your healthcare data journey and provide you with knowledge and skills necessary to work in the healthcare industry as a data scientist.
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