scholarly journals What will revalidation mean for psychiatrists?

2008 ◽  
Vol 14 (2) ◽  
pp. 86-88 ◽  
Author(s):  
Laurence Mynors-Wallis
Keyword(s):  
Royal College ◽  
White Paper ◽  
Psychiatric Practice ◽  
Professional Careers ◽  
Uk Government ◽  
The Uk

In 2007, the UK government published a White Paper setting out a framework (revalidation) by which doctors will be assessed throughout their professional careers. Although revalidation is unlikely to be welcomed with open arms by many doctors, its discussion in the White Paper is a measured one in which medical Royal Colleges are given a strong voice in the setting and measuring of standards. The details of the revalidation process for psychiatrists have yet to be determined, but it is likely that it will include strengthened appraisal within which doctors will provide evidence that they have met the standards set by the Royal College of Psychiatrists. These will be laid out in a revised edition of the College document Good Psychiatric Practice.

The UK's proposed foreign direct investment regime: the tide is turning

2018 ◽  
Vol 17 (2) ◽  
pp. 73-78
Author(s):  
Veronica Roberts
Keyword(s):  
Foreign Direct Investment ◽  
National Security ◽  
Foreign Investment ◽  
Direct Investment ◽  
White Paper ◽  
Security Risk ◽  
Global Context ◽  
Uk Government ◽  
The Government ◽  
The Uk

The UK Government has recently published a White Paper proposing the creation of a new foreign investment regime, under which the Government would have powers to review a very broad range of transactions if they give rise to a national security risk. This article reviews the key provisions of the Government's proposal and also highlights the broader global context, with a number of other countries also expanding their own foreign investment regimes.

Regulation and ethics in artificial intelligence and machine learning technologies: Where are we now? Who is responsible? Can the information professional play a role?

2020 ◽  
Vol 37 (2) ◽  
pp. 60-68
Author(s):  
Denise Carter
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
White Paper ◽  
Learning Technologies ◽  
Public And Private ◽  
General Data Protection Regulation ◽  
Oecd Principles ◽  
Information Professional ◽  
Uk Government ◽  
The Uk

Artificial intelligence (AI) and machine learning (ML) technologies are rapidly maturing and proliferating through all public and private sectors. The potential for these technologies to do good and to help us in our everyday lives is immense. But there is a risk that unless managed and controlled AI can also cause us harm. Questions about regulation, what form it takes and who is responsible for governance are only just beginning to be answered. In May 2019, 42 countries came together to support a global governance framework for AI. The Organisation for Economic Co-operation and Development (OECD) Principles on Artificial Intelligence (OECD (2019) OECD principles on AI. Available at: https://www.oecd.org/going-digital/ai/principles/ (accessed 2 March 2020)) saw like-minded democracies of the world commit to common AI values of trust and respect. In Europe, the European Commission’s (EC) new president, Ursula von der Leyen has made calls for a General Data Protection Regulation style. As a first step the EC has published a white paper: ‘On Artificial Intelligence – A European Approach to Excellence and Trust’ (European Commission (2020) Report, Europa, February). In February 2020, the UK government has published a report on ‘Artificial Intelligence in the Public Sector’ (The Committee on Standards in Public Life (2020) Artificial intelligence and public standards. Report, UK Government, February). This article discusses some of the potential threats AI may hold if left unregulated. It provides a brief overview of the regulatory activities for AI worldwide, and in more detail the current UK AI regulatory landscape. Finally, the article looks at the role that the information professional might play in AI and ML.

Stigma

2002 ◽  
Vol 8 (5) ◽  
pp. 317-323 ◽  
Author(s):  
Michael Smith
Keyword(s):  
Social Science ◽  
Royal College ◽  
Mental Illnesses ◽  
Surgeon General ◽  
The Us ◽  
The World ◽  
Science And Politics ◽  
Uk Government ◽  
The Uk

‘Medicine is a social science, and politics nothing but medicine on a grand scale.’ (Rudolph Virchov, 1848, quoted in Link & Phelan, 1996)Discrimination and prejudice against people with mental illnesses is ubiquitous, pernicious and wrong. The overwhelming case against such stigma has been recognised by initiatives from the UK government, the Royal College of Psychiatrists, the US Surgeon General, the World Psychiatric Association and many other organisations

Specialist infantry and defence engagement

2020 ◽  
pp. bmjmilitary-2020-001455 ◽  
Author(s):  
Jonathan Blair Thomas Herron ◽  
K M Heil ◽  
D Reid
Keyword(s):  
Armed Forces ◽  
Short Term ◽  
The Future ◽  
Uk Government ◽  
The Uk ◽  
Insight Into

In 2015, the UK government published the National Strategic Defence and Security Review (SDSR) 2015, which laid out their vision for the future roles and structure of the UK Armed Forces. SDSR 2015 envisaged making broader use of the Armed Forces to support missions other than warfighting. One element of this would be to increase the scale and scope of defence engagement (DE) activities that the UK conducts overseas. DE activities traditionally involve the use of personnel and assets to help prevent conflict, build stability and gain influence with partner nations as part of a short-term training teams. This paper aimed to give an overview of the Specialist Infantry Group and its role in UK DE. It will explore the reasons why the SDSR 2015 recommended their formation as well as an insight into future tasks.

scholarly journals Rhetorical uses of precise numbers and semi-magical round numbers in political discourse about COVID-19: Examples from the government of the United Kingdom

2021 ◽  
pp. 095792652110131
Author(s):  
Michael Billig
Keyword(s):  
19Th Century ◽  
British Government ◽  
Political Incentives ◽  
The United Kingdom ◽  
Round Numbers ◽  
Magical Power ◽  
Uk Government ◽  
The Government ◽  
The Uk ◽  
The 19Th Century

This paper examines how the British government has used statistics about COVID-19 for political ends. A distinction is made between precise and round numbers. Historically, using round numbers to estimate the spread of disease gave way in the 19th century to the sort precise, but not necessarily accurate, statistics that are now being used to record COVID-19. However, round numbers have continued to exert rhetorical, ‘semi-magical’ power by simultaneously conveying both quantity and quality. This is demonstrated in examples from the British government’s claims about COVID-19. The paper illustrates how senior members of the UK government use ‘good’ round numbers to frame their COVID-19 goals and to announce apparent achievements. These round numbers can provide political incentives to manipulate the production of precise number; again examples from the UK government are given.

scholarly journals Thy 3F and 3a malignancy rate, a multisite regional retrospective case series

2018 ◽  
Vol 100 (7) ◽  
pp. 545-550 ◽  
Author(s):  
V Alexander ◽  
J Rudd ◽  
D Walker ◽  
G Wong ◽  
A Lunt ◽  
...  
Keyword(s):  
Thyroid Cancer ◽  
Royal College ◽  
Case Series ◽  
Thyroid Malignancy ◽  
Retrospective Case ◽  
Retrospective Case Series ◽  
Indeterminate Nodules ◽  
The Uk ◽  
Diagnosis Of Thyroid Cancer ◽  
Benign Thyroid

Introduction The aim of this study was to ascertain the incidence of thyroid cancer for patients categorised as Thy3, 3a or 3f across four tertiary thyroid multidisciplinary centres in the UK. Material and methods This is a retrospective case series examining patients who presented with a thyroid nodule and diagnosed as Thy3, 3a or 3f according to the Royal College of Pathologists modified British Thyroid Association and Royal College of Physicians Thy system. Results In total, 395 patients were included in this study. Of these, 136 turned out to have benign thyroid disease and 24 had micropapillary thyroid carcinomas. The overall rate of thyroid malignancy was 28.8%. For each subcategory, the rate of malignancy was Thy3 24.7.7%, Thy3a 30.4% and Thy3f 29.2. However, the incidence of thyroid malignancy varied considerably between the four centres (Thy 3f 18-54%). Discussion The diagnosis of thyroid cancer is evolving but detection for malignancy for indeterminate nodules remains below 50% for most centres around the world. In 2014, the British Thyroid Association subdivided the original Thy3 category into Thy3a and Thy3f and recommended a more conservative approach to management for Thy3a nodules. Despite this, only two centres yielded a higher conversion rate of malignancy in the new higher graded Thy3f group compared with Thy3a. Conclusion It is debateable whether the new ‘Thy3’ subcategories are more useful than the original. Local thyroid malignancy rates may also be more useful than national averages to inform treatment decisions.

Life Expectancy in Individuals With Type 2 Diabetes: Implications for Annuities

2009 ◽  
Vol 30 (3) ◽  
pp. 409-414 ◽  
Author(s):  
Hermione C. Price ◽  
Philip M. Clarke ◽  
Alastair M. Gray ◽  
Rury R. Holman
Keyword(s):  
Type 2 Diabetes ◽  
Life Expectancy ◽  
Cholesterol Level ◽  
Total Cholesterol Level ◽  
Insurance Companies ◽  
Age At Death ◽  
Life Annuity ◽  
Uk Government ◽  
The Uk

Background. Insurance companies often offer people with diabetes ‘‘enhanced impaired life annuity’’ at preferential rates, in view of their reduced life expectancy. Objective. To assess the appropriateness of ‘‘enhanced impaired life annuity’’ rates for individuals with type 2 diabetes. Patients. There were 4026 subjects with established type 2 diabetes (but not known cardiovascular or other life-threatening diseases) enrolled into the UK Lipids in Diabetes Study. Measurements. Estimated individual life expectancy using the United Kingdom Prospective Diabetes Study (UKPDS) Outcomes Model. Results. Subjects were a mean (SD) age of 60.7 (8.6) years, had a blood pressure of 141/83 (17/10) mm Hg, total cholesterol level of 4.5 (0.75) mmol/L, HDL cholesterol level of 1.2 (0.29) mmol/L, with median (interquartile range [IQR]) known diabetes duration of 6 (3—11) years, and HbA1c of 8.0% (7.2—9.0). Sixty-five percent were male, 91% white, 4% Afro-Caribbean, 5% Indian-Asian, and 15% current smokers. The UKPDS Outcomes Model median (IQR) estimated age at death was 76.6 (73.8—79.5) years compared with 81.6 (79.4—83.2) years, estimated using the UK Government Actuary’s Department data for a general population of the same age and gender structure. The median (IQR) difference was 4.3 (2.8—6.1) years, a remaining life expectancy reduction of almost one quarter. The highest value annuity identified, which commences payments immediately for a 60-year-old man with insulin-treated type 2 diabetes investing 100,000, did not reflect this difference, offering 7.4K per year compared with 7.0K per year if not diabetic. Conclusions. The UK Government Actuary’s Department data overestimate likely age at death in individuals with type 2 diabetes, and at present, ‘‘enhanced impaired life annuity’’ rates do not provide equity for people with type 2 diabetes. Using a diabetes-specific model to estimate life expectancy could provide valuable information to the annuity industry and permit more equitable annuity rates for those with type 2 diabetes.

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