Course Title: POSTGRADUATE DIPLOMA IN HEALTH INFORMATICS AND TECHNOLOGY (PgD-HIT)
Level: QCF Level7

Course Duration: 

Fast Track: 06 months

Standard: 09 months

Course Fee: £4000

Mode of Delivery: Blended

Entry Requirements:

The qualification has been designed to be accessible without artificial barriers that restrict the access. We prefer the following entry requirements for a Postgraduate Diploma in Data Science and AI:

Age: Students must be 21 years old at the beginning of the course.

Academic Qualifications: bachelor’s degree or an equivalent qualification in a relevant field such as Computer Science, Mathematics, Statistics, Engineering, Science. Some programs may require applicants to have prior knowledge or experience in computer programming, mathematics, statistics, or data analysis. This can be demonstrated through coursework or professional experience.

Work Experience: While work experience is not always mandatory, some programs may consider it as a factor for admission or offer it as an advantage during the selection process. Relevant work experience can strengthen your application.

English Language Proficiency: If English is not your first language or your previous qualifications are not taught and assessed in English, then you may be required to provide proof of English language proficiency through tests such as the IELTS, PTE or TOEFL. The specific score requirements can vary from IELTS score of 6.5 to 7.0 (or equivalent).

Course Description:

The Postgraduate Diploma in Health Informatics and Technology is a specialized program designed to equip students with the knowledge and skills required to leverage technology and data analytics in healthcare settings. This program is tailored for individuals interested in the intersection of healthcare and information technology, such as health informaticians, IT managers in healthcare organizations, data analysts, and digital health consultants. Students will gain a deep understanding of health informatics principles, explore the latest technologies, and learn how to apply them to improve healthcare delivery and outcomes.

Course Design:

Module 1: Introduction to Health Informatics

– Overview of health informatics and its applications

– Health information systems and electronic health records

– Health data standards and interoperability

– Legal and ethical considerations in health informatics

– Health information governance and privacy

 

Module 2: Health Data Management and Analysis

– Collection, storage, and retrieval of health data

– Health data quality and data cleansing techniques

– Data visualization and exploratory data analysis

– Descriptive and inferential statistics in healthcare

– Health data analytics for decision-making

 

Module 3: Health Information Exchange and Interoperability

– Health information exchange networks and architectures

– Standards and protocols for health data exchange

– Health information exchange platforms and tools

– Interoperability challenges and solutions

– Secure and privacy-preserving health data sharing

 

Module 4: Electronic Health Records and Clinical Information Systems

– Design and implementation of electronic health record systems

– Clinical decision support systems and evidence-based medicine

– Computerized physician order entry systems

– Health information systems integration and optimization

– Usability and user experience design in clinical informatics

 

Module 5: Health Informatics for Public Health

– Public health information systems and surveillance

– Disease registries and outbreak management

– Health promotion and disease prevention technologies

– Telehealth and remote patient monitoring

– Public health informatics policy and governance

 

Module 6: Health Informatics and Digital Health Innovation

– Emerging technologies in healthcare (e.g., AI, IoT, wearables)

– Innovations in health informatics and digital health

– Entrepreneurship and startup ecosystem in healthcare

– Evaluating and implementing digital health solutions

– Regulatory and ethical considerations in digital health

 

Module 7: Health Informatics Project Management

– Project management methodologies in health informatics

– Health IT project lifecycle and implementation strategies

– Change management and stakeholder engagement

– Risk management and quality assurance in health IT projects

– Evaluation and continuous improvement of health informatics initiatives

 

Module 8: Health Informatics and Technology Governance

– Strategic planning and governance of health informatics

– Health IT policies, regulations, and compliance

– Information security and cybersecurity in healthcare

– Ethics and professionalism in health informatics

– Future trends and emerging technologies in health informatics

 

Module Summary:

The Postgraduate Diploma in Health Informatics and Technology covers a comprehensive range of topics related to healthcare information systems, data management, and digital health innovation. Students will learn the foundations of health informatics, explore health data management and analysis, delve into electronic health records and clinical information systems, and understand the role of informatics in public health. The program also addresses project management in health informatics, technology governance, and emerging trends in the field.

 

Throughout the program, students will engage in practical exercises, case studies, and real-world projects to apply their knowledge and develop hands-on skills. The final module focuses on health informatics project management, allowing students to apply project management methodologies to plan and execute a health informatics initiative.

 

Upon completion of the program, graduates will be well-prepared to pursue careers as health informaticians, health IT managers, data analysts in healthcare, or digital health consultants.