HIM 2201 - Introduction to Statistics and Data Analysis

College of Health Sciences

Credit(s): 3
Contact Hours: 47
Effective Term Spring 2022 (600)

Requisites

Permission of the Program and
Prerequisite any college level MAC, MGF or STA course with a grade of C or better and
Pre- or Co-requisite HIM 1800 with a minimum grade of C and
(Admission to Healthcare Data Management (Certificate with Financial Aid Eligibility) (HCINF-CT) or
Admission to Health Information Technology (Associate in Science) (HIT-AS))

Course Description

This course addresses computation of rates and percentages for basic healthcare statistics with introduction to vital statistics, data display, report generation, and research methodologies.

Learning Outcomes and Objectives

  1. The student will identify common healthcare statistical terms and definitions by:
    1. defining common healthcare statistical terms and abbreviations.
    2. defining and computing mean, median & mode.
    3. recognizing the separate computation of newborn census figures.
    4. applying methods for determining the number of days in a period.
    5. assigning the appropriate service and disposition for discharged patients.
    6. defining, differentiating and applying the terms census, daily census, inpatient service day and total inpatient service days.
    7. defining and differentiating between the following terms: bed count and newborn bed count, bed count days and newborn bed count days.
  2. The student will formulate descriptive healthcare statistics to draw conclusions by:
    1. calculating fractions, percentages, percentiles, rations and conversions using healthcare formulas.
    2. computing daily census and inpatient service days using admission and discharge data provided.
    3. computing average daily census for a patient care unit given inpatient service days for any such unit.
    4. computing the bed occupancy ratio for any period given the data representing bed count and inpatient service days.
    5. computing the bassinet occupancy ratio for any period given bassinet count and newborn inpatient service days.
    6. computing the mortality, autopsy, length of stay, discharge days and bed turnover rates.
  3. The student will demonstrate the skills needed to accurately present data in verbal, written, and graphic forms by:
    1. processing and reporting census data and other statistical calculations.
    2. selecting the appropriate method for data presentation using tables, frequency, distribution and graphs.
    3. comparing and contrasting qualitative and quantitative research methods.
  4. The student will analyze various types of healthcare data by:
    1. identifying, defining, and applying the principles of quantitative and qualitative analysis.
    2. comparing and validating aggregate data.
    3. identifying various types and sources of data.
  5. The student will draw conclusions using quantitative analysis by:
    1. describing how health information management professionals create, use, gather, and analyze data in a systems context.
    2. using data analysis methods such as descriptive or inferential statistics.
    3. showcasing data to support decision making in a healthcare organization.
  6. The student will analyze external data to draw conclusions by:
    1. defining and using benchmarking to improve the quality of healthcare data.
    2. listing the benefits of benchmarking to an organization’s performance improvement.
    3. defining and constructing a dashboard report.
    4. describing best practices outlined by the National Committee for Quality Assurance (NCQA) organization.
    5. reporting the quality of care and services provided by the Healthcare Effectiveness Data and Information Set (HEDIS).
  7. The student will use the Tableau software program to appropriately demonstrate use of:
    1. acquiring data from online resources.
    2. utilizing basic descriptive, institutional, and healthcare statistics.
    3. analyzing data to identify trends.
    4. identifying potential abuse or fraudulent trends through data analysis.
    5. applying report generation technologies to facilitate decision making.

Criteria Performance Standard

Upon successful completion of the course the student will, with a minimum 78% percent accuracy, demonstrate mastery of each of the above stated objectives through classroom measures developed by individual instructors.

History of Changes

C&I Approval: 09/05/2019, BOT Approval: 09/24/2019, Effective Term: Spring 2020 (570).
C&I Approval: , BOT Approval: , Effective Term: Spring 2022 (600)

Related Programs

  1. Health Information Technology (HIT-AS) (640) (Active)
  2. Healthcare Data Management (HCINF-CT) (595) (Active)