Lifelong Learning for a Brighter World

Health Information Fundamentals Health Information Fundamentals

Health Information Fundamentals

Advance your career in health information management

A modernized pathway designed to get you certified faster

Course Descriptions

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HIF 101 Introduction to Health Information Management & Records Management (3 Units)

This course covers fundamental theories and principles of health information management including data types, data acquisition, data repositories, records management and data collection and use. Principles, frameworks, policies, and processes to manage records and documents will be covered including an overview of documentation legislation, professional practice guidelines for documentation standards, error detection and correction procedures, and acceptability of medical abbreviations and acronyms. Concepts of Electronic Health Record (EHR), Personal Health Record (PHR), Electronic Medical Record (EMR), and Electronic Patient Record (EPR) will be introduced. Students will learn about the overall structure of the Canadian health system and health data and information repositories as well as interactions between the Canadian health system and the Ministries, research, and public health. The course will introduce learners to Clinical Documentation Improvement (CDI) principles and processes.

Instructors: Lynn Cartan

HIF 102 Information Governance, Finance and Research (3 Units)

This course covers three major areas in health information: information governance, finance, and research. Information governance includes information lifecycle management and the relationship between data governance and the HIM lifecycle. Data and information learning will include types of interoperability, the data supply chain, and authoritative sources of routinely collected administrative and population data. Principles, frameworks, policies related to external data sharing and access will be covered. The course will cover provincial funding models, grouping and case weighting strategies, MIS Standards, and resource management. Research learning will include the role of epidemiology, research ethics approval process, qualitative and quantitative approaches and methodologies for research, data collection in research, and data and information collection formats.

Prerequisite: HIF 101

HIF 103 Privacy & Health Law (3 Units)

This course will cover privacy and health law including definitions of common legal terms and key Canadian federal, provincial, and territorial legislation which affect health information and privacy. Learners will be introduced to privacy, security, and confidentiality principles, as they relate to various situations such as client privacy, maintaining confidentiality, ensuring security, confidentiality agreements, and external data sharing and access. Key provisions, principles, and definitions address in health information, data protection, and privacy statutes including access, collection, use, disclosure, and custodian/trustee and information manager obligations will be covered. Tools used to assess and manage privacy risk will be discussed.

Prerequisite: HIF 101

HIF 104 Quality in Health (3 Units)

This course will introduce students to quality in health including principles, frameworks, policies, and processes to ensure the accuracy, reliability, relevance, timeliness, coherence, clarity, and accessibility of data against standards and quality criteria. Standards development organizations, the Standards Lifecycle, and development and pan-Canadian standards such as SNOMED CT, LOINC, pCLOCD, HL7, ICD-10-CA, and CCI will be covered. Learners will be introduced to quality management practices such as CQI, LEAN, and TQM as well as common principles and practices for the creation of indicators, benchmarks, metrics, and reports. The course will cover clinical indicators (e.g. HSMR and readmission rates) as they relate to their role in monitoring health care quality. Organizational practices for maintaining data quality and data integrity will be discussed. Learners will explore tools used for terminology, nomenclature, classification, abstraction, encoding, and data submission.

Prerequisite: HIF 101

HIF 105 Information Technology (3 Units)

This course will introduce students to different types of healthcare information systems, systems specifications for interoperability, and the flow between these systems. Learners will cover principles, policies, frameworks, and accountability for maintenance of data in technology systems, security of technology platforms, access to systems, and personal health information security. Students will learn about standards for transmission, translation, and transformation of data including consideration of natural language processing and transformation between data standards. The course will include development, functional requirements, and maintenance of an MPI and EMPI and personalized information needs and information-seeking behaviour and the development of consumer health portals. Technologies such as cloud storage, blockchain, virtual care will be highlighted. The IT Procurement process, project management, change management, and systems implementation will be covered. The course will include topics such as data integrity, disaster recovery, cybercrime, ransomware, and hacking.

Prerequisite: HIF 104

HIF 106 Statistics & Analytics (3 Units)

This course will enable learners to apply descriptive statistical theory for continuous and categorical healthcare data including central tendency measures, and hospital statistics. Learners will employ commonly used statistical software systems. Relevant sources of data such as DAD, NACRS, RAI, MIS, etc. will be utilized. The course will introduce common principles and practices to create performance indicators, standards, benchmarks, metrics, reports, etc. including methodology, definitions, and visualization. Graphical and tabular presentation of healthcare data to facilitate decision-making will be explored. Learners will examine business intelligence (BI) tools used to locate, store, retrieve, analyze, and present data and information from multiple sources and policies and processes for those BI tools. The course will summarize how BI can be utilized for personal information need and information-seeking behaviour. Principles and practices for applying machine learning, artificial intelligence, predictive analytics, data modelling, patient flow modelling, and dataflow diagrams will be discussed.

Prerequisite: HIF 104