10-530-121Intro to Healthcare Data Analytics
Course Information
Description
Covers essential healthcare data analytics skills, including using statistics and database design. Students will collect and analyze data, create visualizations, and report findings. Practical exercises and real-world examples prepare students to excel in healthcare analytics.
Total Credits
3
Course Competencies
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EXAMINE types of healthcare statistics and the ways in which they are appliedAssessment StrategiesOral, written or graphic assessmentCriteriaidentify organizations that collect and maintain statisticsdescribe healthcare statistical termsdifferentiate between descriptive and inferential statisticsrecognize the source of healthcare statistical datadescribe users and uses of healthcare statisticsexplain the role of the HIM professional in collecting healthcare statistics
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EXAMINE the architecture and design of databasesAssessment StrategiesOral, written or graphic assessmentCriteriathe data dictionary contains the necessary data elements for the given data setthe metadata found in a data dictionary is appropriate for the given data elements (aka fields)each table has a primary key that uniquely identifies each recordlogical relationships between tables are defined through use of appropriate primary and foreign keys
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COLLECT data for given data setsAssessment StrategiesOral, written or graphic assessmentCriteriathe data elements are appropriate for the stated purpose and given data setthe data characteristics are consistent with their definitions in the data dictionarydata is collected at the appropriate level of granularitythe design supports the accuracy, completeness, and integrity of the data collected (e.g. use of structured data fields)the design meets user needs
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CONDUCT data mining activitiesAssessment StrategiesOral, written or graphic assessmentCriteriaidentify the data elements to be included in the query for the given purposeidentify the source system/database from which the data may be retrieveduse analytic software to query for the necessary dataprepare data for analysis (i.e., remove inaccurate, duplicate, or inconsistent data to ensure quality)
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CALCULATE descriptive statisticsAssessment StrategiesOral, written or graphic assessmentCriteriacalculate statistics using correct datacalculate statistics using correct formulaapply standard rounding principleslabel calculations appropriately
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CREATE visualizations to analyze data for patterns and trendsAssessment StrategiesOral, written or graphic assessmentCriteriause statistical/analytical tools to create visual representations of the dataselect the most appropriate visualization(s) to support accurate interpretation of the dataorganize dataselect the most appropriate graph or table for a givenĀ purposeinclude all necessary elements required by the graphical display typeuse computerized spreadsheet and/or statistical software to calculate and display data
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REPORT results of data analysisAssessment StrategiesOral, written or graphic assessmentCriteriathe interpretation of patterns and trends is logicalthe reported results of the analysis address the stated purposethe report includes visualizations to support the conclusionsthe report and visualizations are appropriate for the audience and type of data presentedthe report meets professional standardsapply descriptive statistics to identify relationships in datadraw valid conclusions about the meaning of the data