MINIMAR (MINimum Information for Medical AI Reporting):

MINIMAR (MINimum Information for Medical AI Reporting): Developing reporting standards for artificial intelligence in health care
Journal of the American Medical Informatics Association, ocaa088, 28 Jun 2020 https://doi.org/10.1093/jamia/ocaa088

• The rise of digital data and computing power have contributed to significant advancements in artificial intelligence (AI), leading to the use of classification and prediction models in health care to enhance clinical decision-making for diagnosis, treatment and prognosis. However, such advances are limited by the lack of reporting standards for the data used to develop those models, the model architecture, and the model evaluation and validation processes. 
• Here, we present MINIMAR (MINimum Information for Medical AI Reporting), a proposal describing the minimum information necessary to understand intended predictions, target populations, and hidden biases, and the ability to generalize these emerging technologies. We call for a standard to accurately and responsibly report on AI in health care. This will facilitate the design and implementation of these models and promote the development and use of associated clinical decision support tools, as well as manage concerns regarding accuracy and bias.

PIF TICK – a new quality mark for UK health information

PIF TICK – a new quality mark for UK health information
Patient Information Forum 13 May 2020

• The PIF TICK (Trusted Information Creator Kitemark) is the UK-wide Quality Mark for Health Information. The PIF TICK is open to NHS, charity, voluntary and private sector organisations creating and publishing health information. 
• To be awarded the PIF TICK an organisation must show its health information production process meets 10 criteria.

1. Information is created using a consistent and documented process
2. Staff are trained and supported to produce high-quality information
3. Information meets an identified consumer need
4. Information is based on reliable, up-to-date evidence
5. Patients are involved in the development of health information
6. Information is written in plain English
7. Print and digital information is easy to use and navigate
8. Users can give feedback on information
9. Information is promoted to make sure it reaches those who need it
10. The impact of information is measured

The Safer Nursing Care Tool as a guide to nurse staffing requirements on hospital wards:

The Safer Nursing Care Tool as a guide to nurse staffing requirements on hospital wards: observational and modelling study.
Health Serv Deliv Res 2020;8(16) March 2020

• The Safer Nursing Care Tool is a system designed to guide decisions about nurse staffing requirements on hospital wards, in particular the number of nurses to employ (establishment). The Safer Nursing Care Tool is widely used in English hospitals but there is a lack of evidence about how effective and cost-effective nurse staffing tools are at providing the staffing levels needed for safe and quality patient care. An observational study has concluded that the Safer Nursing Care Tool correlates with professional judgement but does not identify optimal staffing levels.

Digital Apps - the Challenge

Digital Apps - the Challenge
ORCHA 9 October 2019

• According to ORCHA over 327,000 health apps are available to download, of which only 15% meet minimum safety standards. 

Only 15% of healthcare apps meet safety standards, research reveals
Digital Health News 9 October 2019

Speech at HETT: NHSX Senior technology advisor

Speech at HETT: NHSX Senior technology advisor, Terence Eden
Healthcare IT News 3 October 2019

• Highlights from a speech made by Terence Eden, Senior Technology Advisor for NHSX includes:
• NHSX will not be developing standards but using international open standards which are already in use and expects its developers to do the same.
• Ensuring that aggregate level data conforms to open standards will also help enable the Artificial Intelligence (AI) solutions.
• “AI is hopefully want is going to help us cure cancer, it’s going to help us work out what resources we need, whether we need them, where they’re going to go to, which populations are likely to get certain diseases and which drugs are going to work,” Eden said.
• In a bid to make medical apps more secure, NHXS has released the NHS app’s open source biometric code for android and iOS.

New quality kite mark for health information

PIF partners with cross sector organisations to develop new quality mark for trustworthy health information
Patient Information Forum, 18 September 2019

• In August 2018, NHS England announced The Information Standard kite mark, membership and assessment scheme was to cease. 
• PIF has consulted with its members and there was overwhelming support for an easily recognisable kitemark to help people recognise information that is evidence-based, accurate and up to date. A steering committee of PIF member organisations has helped draft the criteria that information producers must meet to achieve the quality mark. A pilot will test the practicality of the draft criteria and the validation process.

Updated patient experience Quality Standards

Patient experience in adult NHS services [QS15]

NICE updated July 2019

Service user experience in adult mental health services [QS14]

NICE updated July 2019

Public NHS Digital data and technology standards

Public NHS Digital data and technology standards
NHS Digital

• Draft specifications to support the vision paper The future of healthcare: our vision for digital, data and technology in health and care published October 2018.
• Specifications include Clinical Information Systems, Data Registers, Design Standards, Interoperability, Infrastructure, Commercial and Data Security.
• Consultation is ongoing 
• Extracts from the Clinical Information Systems specification:
• Information standards for health and care organisations are published so that information about the health and care of individuals can be shared and compared across the health care sector, using data that are defined consistently.
• Through the standardisation of data, we:
improve patient care, patient outcomes and patient experience
enable analysis to monitor, manage and improve population health
provide intelligence to inform the design of effective and efficient services