Privacy Enhancing Technologies (PETs)

This video lesson will explore one of the most challenging aspects of agile software development methodologies - identifying what needs to be built to bring change and realise expected benefits.

This video lesson will introduce the topic of Data Engineering and to explore some of the common tasks involved.

This video lesson will give you an understanding of the challenges of representing diversity in health data, and why getting this right is so important.

This video lesson will give you an understanding of how FHE can ensure that highly sensitive personal data, such as medical or financial records, remain safe and secure throughout their lifecycle, and that access to the unencrypted data and results is controlled by the data owner at all times.

This bite-sized video lesson will provide an overview of why we need to be aware of privacy enhancing technologies, often called PETs.

This video lesson will introduce you to a toolkit that maps the current data landscape of complex organisations and supports the identification of potential barriers to digital transformation projects.

This 4-day course offers a comprehensive journey in R from beginner to advanced levels with a focus on practical data analysis visualisation and real-world applications in health data science. Starting with the basics of R including data types subsetting and control flow participants will advance to more intermediate topics such as data manipulation writing functions and creating visualisations with ggplot2.

This video lesson will give you an understanding of what a community of practice is and considerations for MLTC research.

The Better Care module is a series of bite-sized videos that help viewers better understand the Better Care theme of HDR UK. The videos contained in the curriculum provide details on how the Better Care theme itself works, it’s intended impact, how Better Care fits within different areas of the health system, and why it is important on an individual level. The general theme of this curriculum is core for researchers and practitioners in the health field. Please note that some resources are specific to those working in particular areas of practice, for example, ophthalmology.

In this learning pathway you can learn what medical devices are, how they are categorised and how they are regulated. We will cover the strategies you can adopt in selecting which markets to bring your device to the responsibilities and expectations on you to manage quality and how your device will be evaluated both from a clinical and a health economics point of view.

Bringing Software as a Medical Device to Market - Clinical evidence for software devices. Regulators, payers and end users demand clinical evidence that your product works and your claims are backed up by the science. This workshop will look at clinical evidence standards for a variety of digital products including diagnostic software, digital interventions and therapeutics. Standards covered include legislative ones such as ISO 14155, as well as academic best practice and reporting standards.

Bringing Software as a Medical Device to Market - Health economics for software devices. Reimbursement pathways can be confusing for new entrants to healthcare. This workshop will cover health economic evidence requirements including budget impact modelling and cost-effectiveness analysis for digital interventions as recommended by the NICE Evidence Standards framework for Digital Health Technologies.

The right approach to protecting innovation is to put in place an IP strategy at the earliest opportunity and to revisit it regularly as a business grows or pivots. This workshop will cover early stage patent and trademarking for healthtech, do's and don'ts to avoid infringing others' work and strategic thinking about IP.

Most software intended for a clinical benefit is a medical device, which comes with a regulatory burden. This workshop will explain the regulatory framework in the EU and UK, with a focus on software development lifecycles, quality management and risk management, as well as an overview of the applicable ISO and IEC standards.

This video lesson will give you an understanding of optimising self-care in long-term conditions using an archetypal learning Health System called CF HealthHub.

This video will tell you how to code… with style! After watching this video, you will understand what is meant by code style and why you should care about it, know what linters and formatters are and what they can and CANNOT do. Finally, you will know how to choose a linter and formatter for your next project irrespective of the programming language that you are using.

Software is never finished and should be delivered incrementally. Sites like GitHub can let you automatically run tests before code is added to the main working version. This is pretty straightforward in practice, but maybe not something every researcher knows how to set up. After watching this video, you will understand what continuous integration/continuous delivery is, know of example how to use it in research, and know of example how to use it in software engineering.

This video lesson will introduce you to CSS (Cascading Style Sheets) and provide a basic guide to adding rich styles and elements to existing web pages. You'll learn how to style individual and multiple elements simultaneously.

This video lesson will give you an understanding of how HTML (HyperText Markup Language) is used to render the appearance of web-based content in web browsers, how it can be utilised effectively, and learn how to create your own basic web page.

This video lesson will look at JavaScript, which is a fully featured programming language. We will explain and demonstrate the uses of Javascript on webpages and it's collaboration with HTML and CSS. We will also look at how we can use JavaScript to add interactivity to web pages, and explore a worked example.

This video lesson will give you an understanding of sources of data for MLTC research and different data coding methods.

Details, This pathway introduces the concepts and practices necessary to start using data standards in health research. This course explains why data standards are so essential in modern health research and the advantages of adopting them to produce high-quality, trusted data products. The course will teach you how to understand and apply different kinds of data standards during the phases of collection, processing, storage, and sharing your research data.

This video lesson will introduce data visualisation, to explore why visualising data is important and to highlight considerations for producing visualisations.

This video lesson will explore how we can consider digital inequalities when delivering digital solutions

This video lesson will give you an understanding of designing, developing and evaluating Learning Health Systems

This video lesson will provide an overview of the PINCER intervention and describe how it was rolled out to over 40% of GP practices in England.

Traditional computing approaches are no longer adequate for the tens of petabytes of data generated each year in healthcare settings. Health data comes from diverse sources, such as electronic health records, medical imaging, wearable devices, genomic sequencing, clinical research, and even from social media, with different frequencies and formats. Distributed computing technologies are a suitable approach to deal with the increasing volume and complexity of healthcare data. By distributing data and processing across multiple machines, healthcare settings can integrate diverse data sources, implement real-time services, and analyse massive amounts of historical data to improve patient treatment and outcomes.

This video lesson will introduce you to digital competency and capability frameworks applicable to healthcare.

This pathway is aligned with the National Competency Framework for Data Professionals in Health and Care and is aimed at early-career analysts working at Competency Associate Practitioner (L1) and Competency Practitioner (L2) levels. It is ideal for those in roles such as Assistant Analyst, Data Assistant, Junior Analyst (Band 3/4), and Data Analyst, Information Officer (Band 5/6). The course focuses on building skills in communication, teamwork, and aligning analytical work with clinical and organisational goals.

This recorded workshop introduces the HDR UK Innovation Gateway and provides researchers with an understanding of how to search, discover, understand, and request access to health data that is relevant to a specific research question or innovation. Through interactive demonstration, our expert speakers introduce the Gateway and explain how it can be utilised to search, discover, and request access to hundreds of datasets, tools, and resources for research in a secure way.

Accessing Health Data is a series of bite-sized videos that give an understanding of the frameworks and environments that allow researchers to work with data securely. The first three videos in this series are developed in conjunction with the Medical Research Council (MRC) Regulatory Office, exploring the main concepts needed when working with health data and explain where to get further information. The remaining videos focus on gaining a detailed understanding of working in a Trusted Research Environment (TRE). Aimed at researchers in the health field, the curriculum is available to anyone wanting to learn more about accessing health data.

Accessing Health Data is a series of bite-sized videos that give an understanding of the frameworks and environments that allow researchers to work with data securely. The first three videos in this series are developed in conjunction with the Medical Research Council (MRC) Regulatory Office, exploring the main concepts needed when working with health data and explain where to get further information.The remaining videos focus on gaining a detailed understanding of working in a Trusted Research Environment (TRE). Also included is a webinar explaining and demonstrating for researchers, the Health Data Research Innovation Gateway (the ‘Gateway’).Aimed at researchers in the health field, the curriculum is available to anyone wanting to learn more about accessing health data.