HEALTHCARE & SOCIAL MEDIA

This cross-sectional study evaluates the ability of an artificial intelligent chatbot to provide quality and empathetic responses to patient questions.

Un patch rond collé derrière le bras : le capteur de glycémie devient un accessoire des influenceuses sur TikTok pour contrôler sa prise de poids.

DIGITAL REPORT FRANCE 2023 🇫🇷 De nos jours, près d’un français sur trois se tourne vers les réseaux sociaux pour chercher des informations sur les marques ! Quelques jours après le lancement de notre Digital Report 2023 international We Are Social x Meltwater, place aujourd’hui à notre rapport annuel focus France. Cette large étude délivre les […]

Bristol Myers Squibb, Boehringer Ingelheim and Roche are the most mature pharmas on social media, though there are still areas in which the companies can do better.  | Bristol Myers Squibb, Boehringer Ingelheim and Roche are the most mature pharmas on social media, though there are still areas in which the companies can do better.

Des médecins envahissent le nouveau réseau social TikTok pour faire de la prévention - Pour essayer de lutter contre la désinformation auprès des adolescents, de nombreux médecins s’emparent de TikTok pour poster des vidéos courtes et préventives. What’s up Doc a contacté deux d’entre elles.

Sur les réseaux sociaux (TikTok, Instagram, Snapchat...), des vidéos de patients ou de résidents d’Ehpad circulent librement. Les professionnels qui les tournent et les mettent en ligne le font de façon totalement illégale.  Cet article a été rédigé par un juriste en droit de la santé, pour ActuSoins.com.

Le psychiatre Stéphane Mouchabac explique comment les algorithmes pourraient aider à diagnostiquer les malades mentales.

The internet has become a key element of our daily life. It is so easily accessible on our phones that for some it might seem hard to live without it. In 2022, 90% of people aged 16-74 in the EU reported they had used the internet during the previous 3 months (see notes). This share ranged from 79% in Bulgaria to 98% in Luxembourg. Internet use has grown rapidly in the EU over the years - in 2010 it stood at 67%, and in 2015 at 78%. In 2022, the internet was used mainly to communicate with others, sending/receiving e-mails (77%), instant messaging (72%), to find information about goods and services (70%), telephoning or video calls (66%) and watching internet streamed TV or videos (65%). A majority of people also used the internet for reading online news sites/newspapers (64%), watching video content from commercial or sharing services (61%), banking (60%), participating in social networks (58%), and listening to music (54%). Source datasets: isoc_ci_ac_i 52% of people used the internet to seek health information in 2022 At the EU level, in 2022, 52% of people reported using the internet to seek health information, while 33% said to have used it to make an appointment with a practitioner via a website, 24% accessed personal health records online, and another 18% used it to access other health services via a website or app instead of having to go to the hospital or visit a doctor. Among EU Member States, Finland registered the highest share of people using the internet for health-related activities, with 81% of people using the internet to seek health information and 79% accessing personal health records online. When it comes to using the internet to seek health information, Finland was followed by the Netherlands (78%) and Cyprus (73%). In contrast, Romania (29%), Germany (37%) and Bulgaria (39%) had the lowest shares of people using the internet for this end. As for using the internet to access personal health records online, Denmark had the second highest share of people (66%) after Finland, and was followed by Estonia (59%). Germany was the Member State with the lowest share of people accessing the internet for health records with only 2%, followed by Romania (8%) and Slovakia (14%). Source dataset: isoc_ci_ac_i

A breakdown of how Twitter’s recent shifts are impacting pharma, and how the industry should navigate the platform in 2023.

Using Instagram data from 166 individuals, we applied machine learning tools to successfully identify markers of depression. Statistical features were computationally extracted from 43,950 participant Instagram photos, using color analysis, metadata components, and algorithmic face detection. Resulting models outperformed general practitioners’ average unassisted diagnostic success rate for depression. These results held even when the analysis was restricted to posts made before depressed individuals were first diagnosed. Human ratings of photo attributes (happy, sad, etc.) were weaker predictors of depression, and were uncorrelated with computationally-generated features. These results suggest new avenues for early screening and detection of mental illness.

Et un géant de l’industrie pharmaceutique perd la bagatelle de 16 milliards.

Twitter trolls on an impostor account have Eli Lilly's stock dropping and have re-ignited the debate around insulin pricing in the US.

Every click you make online counts. It is ridiculously easy to fall down a rabbit hole on any subject. You could accidentally go for hours scrolling through content from cat videos to updates on vaccines. While these may just be displays of innocent scrolling, we could just as easily be feeding our minds with dangerous content difficult to remove from our brains later on.