Healthcare Informatics Foundations and Frameworks
Now, more than ever, the healthcare informatics field needs professionals who can use emerging technology to improve patient outcomes and optimize care delivery. Healthcare Informatics Foundations and Frameworks provides you with the necessary skills to assess and apply medical systems, software, devices, and databases within the healthcare field. Through real-world examples, this health technology course will teach you to adjust to evolving policy requirements, safeguard patient information and utilize evidence-based medicine to answer clinical questions.
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No Mandatory Login Times
4-6 Hours of Work per Module
Your Subject Matter Expert:
Dr. Vikas Kumar
“Currently, exorbitant healthcare expenditures are a major source of concern for the United States, and the hope is that healthcare informatics will alleviate some of this burden while also improving outcomes and quality of care in the United States.”
This foundational course is designed to demystify healthcare informatics and health data management. Learn how to organize and analyze health records, implement best practices for protecting patient privacy and explore how AI and wearable medical devices are changing the way patient data is collected. This course is suitable for career-driven professionals seeking to understand the digital health space and how to best leverage data and technology in healthcare. It is also excellent for managers with experience in hospitals, health insurance, or pharmaceuticals who are looking to explore data-driven initiatives to enhance healthcare delivery and improve patient outcomes.
Module 1: Overview of the Healthcare Industry
Discuss the relative strengths and weaknesses of the U.S. healthcare system and examine the field of healthcare informatics and its role in the healthcare industry. Gain an understanding of the motivations behind the rise of electronic health records (EHRs), and explore specific legislation and policies related to EHRs and healthcare informatics.
Module 2: The Evolution of Healthcare Data
Examine the elements of a complete medical history and physical examination and discuss how clinical data is stored on computers using electronic health records. Classify different types and formats of healthcare-related data and analyze publicly available healthcare datasets and their utility in healthcare informatics.
Module 3: Standards in Healthcare Informatics
Gain an understanding of the importance of interoperability standards in healthcare and examine the various standards for healthcare data, documentation, and messaging. Discuss how health information is exchanged across healthcare organizations and analyze the Fast Health Interoperability Resources (FHIR) API and its role in healthcare informatics.
Module 4: Introduction to Healthcare Computing
Identify the elements comprising modern software applications in healthcare informatics. Explore web services and describe how they are used in healthcare informatics. Discuss the roles of various computing languages in building healthcare software applications and explain the stages of the software development lifecycle.
Module 5: Privacy in Healthcare Informatics
Examine the legislation and policies that are relevant to privacy in healthcare informatics. Recognize the elements of protected health information (PHI) that organizations are obligated to protect and investigate methods for safeguarding patient information on computer systems and networks. Demonstrate how lessons learned from recent data breaches inform current protection protocols.
Module 6: Putting it all Together: Improving Outcomes
Gain a working understanding of the various ways that interventions can impact the care continuum in medicine. Analyze the various value-based healthcare incentive programs and their financial impact on healthcare systems. Discuss evidence-based medicine and how it can be used to answer clinical questions.
Module 7: Ethical Issues in Healthcare Informatics
Investigate the ethical issues associated with healthcare informatics and artificial intelligence in healthcare. Examine the drawbacks of EHR adoption, particularly for health care workers and recognize the obstacles and limitations of healthcare informatics in the context of healthcare.
Module 8: The Future of Healthcare Informatics
Survey the impact of the technology industry on healthcare, particularly among the "Big Tech" companies. Discuss telemedicine and its present and future impact on healthcare and examine how wearables, sensors, and software applications can improve healthcare outcomes. Explore artificial intelligence and the state of progress in using machine learning to improve health outcomes.
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Dr. Vikas Kumar
Dr. Vikas “Vik” Kumar is a physician-turned-Data Scientist from Niskayuna, New York. He earned his MD degree from the University of Pittsburgh, but he discovered his true calling of computers and data science shortly afterward. Dr. Kumar then earned his MS degree from the College of Computing at Georgia Institute of Technology and subsequently began his career as a healthcare data scientist. He has participated in many successful projects related to descriptive, predictive and population health analytics. He currently resides in Atlanta, Georgia, and works as a data scientist at Digital Envoy, a well-established company in the digital marketing industry.
In 2018 Dr. Kumar published Healthcare Analytics Made Simple (Packt), a self-contained, all-in-one primer on healthcare analytics, covering topics including healthcare system foundations, healthcare quality and incentive programs, computer programming, data science and machine learning. He has presented his research and work at many academic conferences and community meetings, including the KDD data science conference and recently at the Data Science ATL Healthcare Analytics Meetup. Dr. Kumar has also appeared in several peer-reviewed journals, including the Journal of the American Medical Informatics Association (JAMIA).
Dr. Kumar has a BS degree in Neuroscience from Brown University.