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Healthcare Data and Informatics

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About Course

Healthcare informatics does not begin in a dashboard. It begins with activity recorded in operational and clinical systems.

This course follows healthcare information from source systems through terminology and classifications, data flows, storage and analytical structures into reporting. Data quality, governance, confidentiality and definitions matter throughout.

What you will develop

  • Understanding of terminology and classifications such as SNOMED CT, ICD-10 and OPCS-4
  • The ability to trace healthcare data from source systems through datasets, storage and reporting
  • Awareness of how missing, duplicated or inconsistent information affects downstream use
  • Awareness of confidentiality, security and lawful processing
  • Understanding of why reports depend on reliable source information, definitions and modelling

Practical activities use fictional records and synthetic data only.

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Course Content

SNOMED CT
SNOMED CT is the NHS’s shared, computer-readable clinical language for recording healthcare information consistently and precisely.

  • Chapter 1 overview
  • Core concepts
  • Activity, questions and further reading

ICD-10
ICD-10 is a standard classification that turns documented diseases, disorders, injuries, symptoms and other health-related reasons for care into organised alphanumeric categories for comparable statistics and reporting.

OPCS-4
OPCS-4 is the NHS classification used to convert documented hospital interventions and procedures into standard letter-and-number codes for reporting, analysis and reimbursement.

NHS Data Flows
An NHS data flow is the controlled movement of defined health and care data from a source system to an authorised destination, using agreed standards, security controls, validation rules and submission schedules.

NHS Data Model and Dictionary
The NHS Data Model and Dictionary is England’s authoritative reference for defining NHS data consistently, what each item means, how it is structured, which values are allowed and how items are combined into approved datasets.

Commissioning Data Sets (CDS)
Commissioning Data Sets are nationally standardised, patient-level records of NHS-funded and NHS-provided secondary-care activity, extracted from local systems and submitted for authorised secondary uses such as monitoring, payment, planning and Hospital Episode Statistics.

Hospital Episode Statistics (HES)
Hospital Episode Statistics is a curated national data product containing detailed records of hospital admissions, outpatient appointments, critical care and historical accident-and-emergency activity in England, created mainly from providers’ routine submissions for analysis rather than direct patient care.

Clinical Coding Fundamentals
The flow turns the clinical story recorded after care into standard, checked information that the NHS can use consistently.

Data Warehousing
A fact table records the event being counted, while dimension tables describe who, when, where and what surrounded that event.

Power BI for Healthcare Analytics
A measure is the question Power BI calculates, DAX is the language used to write that question, and filter context is the set of selections that tells Power BI which records to include.

Information Governance
Information governance is the framework that ensures health and care information is used lawfully, ethically, confidentially, securely and only for justified purposes.

Electronic Patient Record Systems
Electronic patient record systems capture and organise the clinical and administrative information created during a patient’s care, making them the main operational source for healthcare data, workflows, reporting and informatics.

RTT and Operational Data
Connecting pathway activity, PTLs, waiting lists, validation and reporting.

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