Demonstrates awareness of evidence and regulatory frameworks used to assess digital technologies (e.g., NICE) in order to contribute to discussions of the development of digital health interventions.
CIF Category: Information Systems & Technologies
Key aspects of information systems
Can use knowledge of key aspects of information systems (e.g., usability, performance, cost effectiveness) to develop evaluation criteria to assess and evaluate digital solutions and information systems in practice settings to make sure they are useful and/or successfully adopted.
Safety and efficacy assessment
Is able to develop processes and methods with other colleagues to continuously assess the safety and efficacy of information systems
System key qualities
Is able to work with other system developers and healthcare professionals to consider the key qualities of a system (e.g., scalability, maintainability, performance, structure, availability) when designing and developing information systems (e.g., electronic health records), and apply current best practice to these.
Incident reporting
Understands the procedures to report any cyber or data security incident.
Cybersecurity risk
Understands the trends in cybersecurity risk in healthcare (e.g., cloud computing, medical physical systems, data confidentiality, malware, app security, insider threats).
Medical Device Regulations
Understands what informatics solutions (e.g., current GP systems and/or clinical decision support that includes Artificial Intelligence or any coded algorithms) constitute as a medical device and must adhere to the Medical Device Regulations.
National and international standards
Appreciates the international and national standards and regulatory frameworks for quality management, software deployment, medical devices, clinical safety (e.g., DCB0129, DCB0160) and interoperable systems (e.g., ISO9001, ISO80001 family).
Security and governance of data
Demonstrates knowledge of the security and governance of data, systems, devices and networks (e.g., Data Security and Protection Toolkit), and is able to use this to contribute to the development of solutions required to manage data.
Best practice
Applies information technology best practices (e.g., quality management systems, testing, service level agreements, business continuity and incident management) throughout the system life cycle.
Health information system architecture
Assesses clinical models and is able to interpret mapping of data relationships and dependencies of health information system architecture (e.g., electronic health records, decision support systems, prescribing systems).
Health informatics standards
Is able to discuss the appropriate health informatics standards systems including coding systems, data structures, data security and privacy, and system-to-system messaging to enable system interoperability and procurement/design of future systems.
Clinical coding systems
Demonstrates knowledge of the basis, application and limitations of clinical coding systems, terminologies and classifications and understands their purpose in delivering safer health care.
Requirements specification
Considers patient safety, usability and cost when specifying requirements for informatics projects and is able to discuss the trade-off between them.
System problems
Be able to highlight and communicate about problems with information systems to technical groups and provide feedback and information for healthcare professionals.
Procurement framework
Demonstrates knowledge of the procurement framework including teams involved in contract negotiation and management, costs and how to identify return on investment.
IT components
Analyses key information technology components including hardware and software, and how they can be used in health and social care settings.
Security and privacy
Is able to identify informatics solutions that guarantee data privacy, patient and user confidentiality, security and integrity following current excepted standards.
Interoperability
Recognise that interoperability is an unresolved problem and the issues surrounding this (e.g., lack of adherence to informatics standards, different processes surrounding informatics system) impact on the delivery of integrated care.
Information transmission
Demonstrates knowledge of the range of technology for transmitting information (e.g., messaging between systems) and clinical standards (e.g., standards for structuring clinical information) for information needed to support the creation of interoperable systems and promotes their importance to drive an integrated delivery care model.
Clinical and business requirements
Is able to clearly and effectively communicate clinical and business requirements to technology suppliers, specialists, helping them understand how to align their solutions to health and social care practices and objectives.
Conventional project approaches
Awareness of the phenomenon that some problems cannot be solved by conventional requirements gathering and classical product design, and if they are applied will actively make things worse.
Stakeholder expectations
Is able to manage expectations of stakeholders and guide prioritisation toward incremental development that is both clinically useful and/or technically possible within the available resources.
Technical and clinical terminology
Has a good working knowledge of technical and clinical terminology and can demonstrate how the effective use of both can lead to a common understanding of an informatics project/programme.
Project benefits and risks
Awareness of the benefits and risks of different project methodologies (e.g., agile, waterfall) when used for software development and is able to employ the appropriate strategies to meet the needs of the project.
Information system lifecycle
Understands each stage and associated processes of the lifecycle of how an information system is developed including the planning creating, testing and deploying stages, and when clinical engagement is key to a successful informatics project outcome.
Data, information and workflow models
Applies knowledge of health data, information and workflow models to design and deliver information technology solutions.
Technology identification
Can identify an appropriate technology to resolve healthcare problems and contribute to the development of good practice to do this.
Health and technology future thinking
Discusses systems and technologies in relation to current and future thinking around health systems, especially with technology providers to drive innovation to address health and care delivery
System/technology qualities
Understands the qualities of a system/technology and the trade-off between them when developing/deploying them (e.g., maintainability, scalability, performance, recovery).
Health information systems and technologies
Discusses the range of health information systems and technologies available and how they can be or are used in the delivery of health and social care and research (e.g., medicines management, telehealth, imaging, test requests and reports, electronic patient records, mobile health).
Computer science principles
Is able to demonstrate knowledge of computer science principles and terminology including modelling data and systems using appropriate representations (e.g., UML, BLMN, MDA).
Technical solution selection
Is able to contribute to the selection and utilization of appropriate information systems and/or technologies to meet clinical and operational requirements through the evaluation of tender responses.
