Healthcare Data Analyst Certificate Online Program

The opportunities and challenges presented by the growth of medical data have created a need for trained professionals with analytic skills that are focused on the healthcare environment. The Healthcare Data Analyst Certificate offered by Bellevue College prepares you to meet that demand, with hands-on training in the tools you’ll use in your career. Request more information today to find out how you can get started in this rapidly evolving field.

Healthcare Data Analyst Program Overview

Analytics is talked about as the “next big thing” in healthcare creating new opportunities and challenges, and a need for trained professionals with analytics skills as they apply to the healthcare sector.

The Healthcare Data Analyst Certificate online course from Bellevue College, Seattle focuses on the tools and strategies that support clinical, financial, operational and quality analytics applications in healthcare settings. The curriculum covers three main areas: an overview of the healthcare environment and its specific regulations, standards and trends; a hands-on examination of analytical tools and processes including data analysis and visualization; and a survey of analytics application to healthcare through case studies and scenarios with a discussion of future directions in this rapidly evolving environment. The program is ideal for those with experience or training in business intelligence or database-related fields.

• $1960 program cost. NOTE: Payment in full is due upon registration

• 227 hours – Continuing Education
• Instructor-led Online program
• Options for completing in 9 months or 12 months
• Start Dates:
  • Fall: September 19, 2016
  • Spring: April 3, 2017

Call 425.564.2263 for more information!

Certificate Prerequisites

• Required
  • Bachelor’s degree OR Associates degree + 2 years of experience in database management/design or business intelligence
• The following courses or equivalent experience/training/expertise are required for entry:
•  SQL
  • SQL Level 1 (21 hours)
  • Database Design (9 hours)
• Excel
  • Excel: Level 1 – Beginning (7 hours)
  • Excel: Level 2 – Data and Charts (7 hours)
• College-level Algebra
• Recommended
  • MS Access
  • Excel: Level 3 – Functions
  • Data Analysis and Business Modeling with Excel
  • SQL (T-SQL) Level 2
  • Beginning SQL Server (18 hours)
  • SQL Server Analysis Services (SSAS) (40 hours)
  • SQL Server Integration Services (SSIS) (24 hours)
  • Completion of CAHIMS coursework

Course Descriptions

• Introduction to the Healthcare Environment (for those without healthcare industry experience) – 30 hours
• Introduction to Electronic Health Record Systems – 12 hours
• Applied Statistics – 30 hours
• Introduction to Healthcare Data Standards and Quality – 50 hours
• Healthcare Data Analytics Applications – 50 hours
• Operations Analysis in Healthcare – 30 hours
• Data Visualization, including Tableau – 25 hours

Course Descriptions

Introduction to the Healthcare Environment

30 hours

This is for those without healthcare industry experience. Learn about the US healthcare delivery and payment systems. You will explore the structure, policies and procedures applicable to the various healthcare organizations; and gain an appreciation for the roles and disciplines of providers throughout the US healthcare system. The course also covers the basics of the regulatory and accreditation processes; the laws, policies and procedures pertaining to patient safety, healthcare quality, data confidentiality and security, as well as professional and practice-related ethical issues.

Introduction to Electronic Health Record Systems

12 hours

Presents the evolution of electronic health records. You will have the opportunity to explore the features and functions of EHR systems in a simulated environment, and compare and contrast different EHR systems.

Applied Statistics

30 hours

Learn to understand and apply statistical concepts, methods and reasoning; organize, interpret and produce data; analyze statistical arguments and communicate findings clearly; and appreciate the relevance of statistics to contemporary society. Topics include: introduction to design of experiments, data analysis, correlation and regression, concepts of probability theory, sampling errors, confidence intervals, and hypothesis tests. Required prerequisite: College-level Algebra.

Introduction to Healthcare Data Standards and Quality

50 hours

Explore current and emerging trends in healthcare data standards and quality as they relate to patient records, coding and classification systems, and information privacy and security. Topics include: acquisition, storage and access of medical data; key data management infrastructure and technical standards; and data quality and governance. Also covered are current and emerging government regulations, and their impact on healthcare providers and systems, and data acquisition and analysis needs and strategies. This course also includes discussions of ethical issues as they relate to the acquisition, analysis and dissemination of data. Prerequisite: Introduction to the Healthcare Environment.

Data Visualization, including Tableau

25 hours

We know that data analytics is a powerful tool that is being used increasingly in healthcare. Data alone is not sufficient to bring about transformation. Analysts need to be able to tell a story with the data, communicating observations in a clear, compelling way. In this course, you’ll learn data visualization tools and techniques, and be introduced to a software tool widely used in industry—Tableau.

Healthcare Data Analytics Applications

50 hours

Deepen your understanding of current and emerging practices in the application of data analytics in healthcare. Topics include clinical, financial, operations and quality analytics; trends in healthcare practices, customer expectations, and regulations that impact healthcare analytics; ethical issues in gathering, analyzing and reporting healthcare data; and a discussion of the roles and applications of descriptive, retrospective and prescriptive analytics in various healthcare settings. Through the use of case studies, students, you’ll practice tools and techniques to analyze given data sets for specific outcomes, and create visual representations of data that convey information clearly and effectively to stakeholders with varied backgrounds and expertise. Prerequisites: Applied Statistics; Introduction to the Healthcare Environment; Introduction to Healthcare Data & Quality.

Operations Analysis in Healthcare

30 hours

Gain an understanding of the role and applications of operations analytics in improving patient and population outcomes and reducing costs in various healthcare settings. Learn how operations analytics can also improve efficiencies and resource utilization throughout the organization. Analytics also offers the powerful potential to help organizations gain insights into which treatments are most effective for different types of patients, enabling them to customize and optimize treatment for individual patients.  Prerequisites: Applied Statistics; Introduction to the Healthcare Environment; Introduction to Healthcare Data & Quality.