The advantages of remote detailing

Accessibility: The content has never been more accessible. You can have access to the material at any given time. Also, you can reach physicians working in remote locations instantly with a remote meeting.
Engagement: e-detailing is an interactive presentation allowing HCPs to actively engage with reps.
Personalized meeting: By tracking how each HCP interact with your content and using some analytics tools, you can adjust the content and work at individual level.
Time effective: E-detailing takes less time for medical reps, because HCP can arrange the calls so that they fit into their own schedule. This allows rep to focus on the relationship between him and the doctor, and on the discussion about the product.
Impact: Several market studies shows that HCPs are more focused and spend a longer time on digital calls than F2F calls, which increase the impact of your communication.

14 July 202114 July 2021

Digitalization is changing the way medical reps are working

Digitalization has been further empowered by the COVID-19 pandemic.
Medical representatives need to adapt and develop new digital and scientific competencies to remain an important part of pharmaceutical sales pipelines.
Since almost all communication has moved online, medical reps are approaching HCPs and schedule digital meetings (e-detailing).

Below very interesting results on the subject!

17 June 202117 June 2021

How to keep your team motivated through hard time ?

A key tool to engage your employees and help them grow professionally is by challenging them

In fact, this method allows you to:

Improve team cohesion.
Promote healthy competition in the workplace.
Increase engagement by rewarding your best performers.

Watch this video to find out more about the framework of challenge:

For more information

25 May 2021

How to assess your team’s capabilities

Engaging your employees on their learning path is the best way to create motivation and active participation in their on-going trainings.

Here are a few ways you, as a manager, can follow up with your team’s learning and capabilities assessment:

Performance metrics: These metrics can be an effective evaluation tool that can allow you to compare and compile data on your employees assessment.
Measurable goals: Managers and employees can set mutually agreed-upon measurable goals that focus on skills-expansion such as number of training sessions or medical education programs to attend.
Self-assessment : Employees can identify their strength and weaknesses. This can boost their own self-confidence and motivation and it allows to identify areas that need attention.
Challenging and testing : Evaluate your employees directly by testing them is probably the best way to assess their learning and training. However, it should be done in a creative and stimulating way. We can suggest a gamification platform like OlympiQs developed by our partner ATS – Digital Dev.

To learn more about it check this article

for more information

14 April 202130 April 2021

How to choose your Social Media Tactics?

Social Media adoption by pharma can be difficult to pursue due to the strict rules of engagement set by health regulatory authorities which make it hard to have meaningful discussions with patients and/or healthcare professionals.

If you want to engage with your customers on social Media. It’s important to think about your objectives so you can see how social adds value to them and to your company as a whole.

We can help establish those goals using the Groundswell framework:

1. Listening

Following what’s being said about your brand or your therapeutic area on social media enables you to gain insights from you patients and health care professionals.In order to make the most of social monitoring, you need to collect information that will help you define your marketing strategy and grow your business, here are a few suggestions to help you get started:

Think beyond your handle: By that we mean, that it is interesting to monitor not only your brand names or your products but also variations of them, like key-words related to your therapeutic area or side effects of your drugs. That enables you to be alerted to any impending drug related crises.
Keep an eye on your competitors: Creating a list to see what people are saying about your competitors is very helpful to assess their activities. You can also see how they’re interacting with the patients and the HCPs.
Measure the impact of your Marketing campaigns: make sure you monitor related keywords and hashtags so you can capture all of the conversations about the events.

2. Talking to your patients/HCPS: Social Marketing

This is probably the most common social media tactic employed by organizations probably because it’s the easiest. The tactic’s goal is to get broader brand awareness by starting a conversation with and within your audience members in order to generate critical mass of followers. Without this, it’s almost certain that your initiative will have little impact. You can start that conversation by creating videos or participating into social networks (Facebook or LinkedIn).

3. Energizing Customers: Social Selling

The next tactic focuses on identifying digital key opinion leaders who interact with your brand. Energizing them to create buzz or endorsements around your product, service or company.

Social selling is built upon:

Mapping the relevant stakeholders for your disease area or drug and determine which influencer should be targeted.
Word-to-mouth, is probably the most effective marketing channel and it can be further stimulated by viral marketing and social sharing
Capturing the aspirations of your future ambassadors and link them to your content assets.
Engaging in conversations with them to demonstrate your expertise and relevance.
taking the conversations into different channel ( mail, phone, face to face…) without being pushy.

4. Helping customers: social support

This is the tactic you want to employ if you want to facilitate technical, emotional, medical support within a community of people. Besides supporting patients, this tactic is also a great insight tool: In exchange for sponsorship, pharma companies get useful insights in the need of patients, which allows them to become more patient-centric.

5. Embracing customers: crowdsourcing

The Last tactic is employed if you want your company to foster the collective wisdom, knowledge and ingenuity of your audience to boost your innovation efforts.

The key point of this objective is to set up a platform in which you can collect the various crowdsourcing

How-to-chooseyou-social-media-tactics Download

References:

-Evidence-based Multichannel- Ruud Kooi, Fonny Scheneck, Beverly Smet, Across Health

– http://netchange.co/how-to-tap-into-social-media-a-summary-of-groundswell

– https://www.webmd.com/

– https://www.healthboards.com/

– – https://www.annualreviews.org/doi/pdf/10.1146/annurev-biodatasci-072018-021139

For more information:

7 April 20217 April 2021

Applications of Artificial Intelligence in health

When talking about innovation in health, it seems that one cannot avoid talking about Artificial Intelligence, especially in this Covid-19 area. This epidemiological context showed that the health industry is very resilient and is capable of evolution even in the hardest conditions, and the numbers are there to prove it :The ReporLinker Institute published that Health Artificial Intelligence market sits at 4.9 billion $ in 2020.

From patient follow-up to robot surgeons, Artificial Intelligence is aiming to cover the entire patient journey through the healthcare system.

For a clearer picture of the many applications of the Artificial Intelligence in Heath, we made a list of 4 actual applications of the artificial intelligence:

1. Imaging :

Using computer vision to identify health conditions in medical images has become perhaps the most widely referenced use case for AI in healthcare. It permits to capture less data and therefore image faster, while still preserving or even enhancing the rich information content of Magnetic Resonance images. This could be possible by training artificial neural networks to recognise the underlying structure of the images, and what types of things tend to be clustered together.

For example, analysis of brain MRI using machine learning has the potential to identify tissue changes which can indicate an early ischaemic stroke with significantly less time and greater sensitivity than a human reader.

2. Patient journey management

AI-based conversational interfaces can automate patient screening and navigation through the health system. This application is developed in two principal axes:

Patients can share symptoms and questions via chat bots and then receive clinical guidance to orient them. This is especially helpful in rare diseases cases when patient wandering is sadly frequent.
The second axe is the communication with patient to ensure their treatment compliance and adherence.

Nowadays, many AI solutions were created in partnership with patient associations and healthcare professionals. They assist patients by answering their questions about their disease, offer them personalized support and allow them access to a follow-up log. They can otherwise offer them the possibility of participation in clinical trials. Indeed, matching patients to clinical trials or identifying a cohort of patients for a trial is, in an almost cases, a tedious manual task. In this context, the development of a software platform that uses natural language processing (NLP) can be promising when it comes to ingest trial and patient information from unstructured sources and matches patients to trials for which they can be eligible.

These machine learning techniques can reduce the screening time for clinical trials and increase trial enrolments.

3. Drug delivery :

The most common applications of artificial intelligence (AI) in drug treatment have to do with matching patients to their optimal drug or combination of drugs, predicting drug-target or drug-drug interactions, and optimizing treatment protocols.

The development of these devices that can do automatic adjustment of drug concentration and adjust timing of drug release is a promising approach for improving the efficiency, safety and patient’s compliance.

For example, an automated system has been provided for monitoring of glucose and delivery of insulin by the integration of an insulin pump, a dose calculator and a glucose meter. All this with a wireless communication (Bluetooth®) which provides more flexibility for controlled drug delivery devices. The unit receives the data from the glucose meter, analyses it in real time with consideration of the external data (patient’s physiology, meals, exercises…) and regulates the drug release accordingly.

4. Remote Health

Although the pandemic has stimulated the use of the remote health, its application is still very basic. Indeed, remote health often simply means telechat with a clinician, but it will reach its full potential only when it gets associated with machine learning to become an important pillar in healthcare delivery. McKinsey estimates that up to $250 billion of healthcare spend will be virtualized in the coming years in the United States alone.

For example, the point of-care ultrasound (POCUS) has been shown that is efficient and effective. In fact, Abe et al studied 130 patients with aortic stenosis and reported that pocket ultrasound was able to discriminate moderate to severe aortic stenosis with sensitivity 84% and specificity 90% even without quantitative Doppler Information.

Such technologies can fundamentally alter bedside medicine and be indispensable to examine the patient at a granular level, making healthcare more accessible and affordable in the process.

Conclusion

The healthcare ecosystem has always been a dynamic and a resilient ecosystem despite its complexity and its rigid laws. This can be explained by the intimate connection that healthcare has with all its stakeholders.

When deployed thoughtfully, AI can, more than other tool, enhance this connection by upend long-accepted constraints about the healthcare system and therefore redefine the relationship between cost, accessibility and quality.

Nawres Bessassi, PhD and project manager junior WhiteLab

Salma Esseghir CEO WhiteLab

References:

https://www.forbes.com/sites/robtoews/2020/08/26/ai-will-revolutionize-healthcare-the-transformation-has-already-begun/?sh=622704c0722f

Artificial intelligence in medical imaging: switching from radiographic pathological data to clinically meaningful endpoints ,Ohad Oren,Bernard J Gersh,Deepak L Bhatt Lancet Digital Health 2020; 2: e486–488 DOI:https://doi.org/10.1016/S2589-7500(20)30160-6

Evaluation of an artificial intelligence clinical trial matching system in Australian lung cancer patients, Marliese Alexander, Benjamin Solomon, David L Ball, Mimi Sheerin, Irene Dankwa-Mullan, Anita M Preininger, Gretchen Purcell Jackson, Dishan M Herath JAMIA Open, Volume 3, Issue 2, July 2020, Pages 209–215, https://doi.org/10.1093/jamiaopen/ooaa002

The significance of artificial intelligence in drug delivery system design, Parichehr Hassanzadeh, Fatemeh Atyabi, Rassoul Dinarvand, Advanced Drug Delivery Reviews,Volumes 151–152, 2019, Pages 169-190,ISSN 0169-409X, https://doi.org/10.1016/j.addr.2019.05.001

Application of mobile health, telemedicine and artificial intelligence to echocardiography,Karthik Seetharam, MD, Nobuyuki Kagiyama, MD PhD, and Partho P Sengupta, MD DM, Echo Res Pract. 2019 Jun; 6(2): R41–R52. https://doi.org/10.1016/S2589-7500(20)30160-6

https://entreprendredanslasante.substack.com/p/la-masterclass-ia-and-startups-sant