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 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.
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. (Required just for those without healthcare industry experience.)
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.
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.
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.
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.
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.
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.
This workforce solution was 100% funded by an 11.7m grant awarded by the U.S. Department of Labor’s Employment and Training Administration. The solution was created by the grantee and does not necessarily reflect the official position of the U.S. Department of Labor. The Department of Labor makes no guarantees, warranties, or assurances of any kind, express or implied, with respect to such information, including any information on linked sites and including, but not limited to, accuracy of the information or its completeness, timeliness, usefulness, adequacy, continued availability or ownership.