JOINT STATEMENT: PHYSICIAN SUPPORT FOR ETHICAL VACCINES

The period under review continued to be dominated by the COVID-19 pandemic. The Westminster Government and the devolved administrations issued a joint statement on 16 December 2020 outlining a series of relaxations on social contacts between 23 and 27 December but even so it seemed that there were mixed feelings about any relaxation. The Scottish First Minister, Nicola Sturgeon, continued to stress that the Scottish Government's recommendation was to celebrate Christmas at home and to keep interactions with other households to a minimum. The Welsh Government decided that social interactions should be limited to two households only, to be followed by a further lockdown from 28 December.

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BMS, IMS, EMAS, RCOG and AMS joint statement on menopausal hormone therapy and breast cancer risk in response to EMA Pharmacovigilance Risk Assessment Committee recommendations in May 2020

Post Reproductive Health ◽

10.1177/2053369120983154 ◽

2021 ◽

pp. 205336912098315

Author(s):

Haitham Hamoda ◽

Susan R Davis ◽

Antonio Cano ◽

Edward Morris ◽

Sonia Davison ◽

...

Keyword(s):

Breast Cancer ◽

Risk Assessment ◽

Breast Cancer Risk ◽

Cancer Risk ◽

Hormone Therapy ◽

Menopausal Hormone Therapy ◽

Joint Statement ◽

Pharmacovigilance Risk Assessment Committee ◽

Assessment Committee

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Hybrid Decision Support to Monitor Atrial Fibrillation for Stroke Prevention

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18020813 ◽

2021 ◽

Vol 18 (2) ◽

pp. 813

Author(s):

Ningrong Lei ◽

Murtadha Kareem ◽

Seung Ki Moon ◽

Edward J. Ciaccio ◽

U Rajendra Acharya ◽

...

Keyword(s):

Atrial Fibrillation ◽

Heart Rate ◽

Decision Support ◽

Stroke Prevention ◽

Stroke Risk ◽

Universal Access ◽

Healthcare Providers ◽

High Quality ◽

Physician Support ◽

Monitoring Service

In this paper, we discuss hybrid decision support to monitor atrial fibrillation for stroke prevention. Hybrid decision support takes the form of human experts and machine algorithms working cooperatively on a diagnosis. The link to stroke prevention comes from the fact that patients with Atrial Fibrillation (AF) have a fivefold increased stroke risk. Early diagnosis, which leads to adequate AF treatment, can decrease the stroke risk by 66% and thereby prevent stroke. The monitoring service is based on Heart Rate (HR) measurements. The resulting signals are communicated and stored with Internet of Things (IoT) technology. A Deep Learning (DL) algorithm automatically estimates the AF probability. Based on this technology, we can offer four distinct services to healthcare providers: (1) universal access to patient data; (2) automated AF detection and alarm; (3) physician support; and (4) feedback channels. These four services create an environment where physicians can work symbiotically with machine algorithms to establish and communicate a high quality AF diagnosis.

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