E-health Day – Internet of Me: Vision and Challenges

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I had the opportunity to attend the e-health day in Sierre (TechnoArk) on June 3rd 2016. The event was well organized around big players (Boston Scientific, Roche), showing their vision of the technology and its implementation in their own business model, and startups (L.I.F.E. Corporation, Karmagenes) unveiling their innovations in the field. Moreover, other stakeholders like the health insurance Groupe Mutuel and government-financed agency CIPRET presented their real-world experiences. The event was closed by a panel discussion on the relationships between eDoctors and ePatients.

Globally, the vision of health is: health care providers will be able to improve health outcomes by working with digital patients (the data collected by sensors will be integrated and analyze to provide personalized treatments and consequently better outcomes). Several projects are developed: prosthesis control, diabetes management, vital signs monitoring for elderly people…

Below I summarize the key takeaways from the most interesting talks (not all of them).

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BOSTON SCIENTIFIC – MEDTECH : WHICH BUSINESS MODEL FOR THE E-PATIENT ?
By Frédéric Briguet, EU Digital Health Engagement

  • The goal of the presentation was to provide clues on which business model is the most appropriate for digital health companies.
  • Medical technology companies create and develop products for patients but they really have to be aware of their ecosystem and the influences that will drive patients’ behavior.
    Body sensors brought revolutionary tools to life. They are wireless, responsive, use mobile devices and allow data analysis to be performed. However, what is the real impact on health and disease management? Many companies have sensors supported by solid hardware, cloud data collection and a dashboard for mobile phone.
  • Despite the evolution of technology, we are still lacking clinical studies and proofs. In addition, the user dropout rate is pretty high (after 6 to 8 months, users abandon the sensor(s) and the app). Needless to say that, on top of all the previous disadvantages, the amount of data generated is extremely heavy and it is difficult to extract the most relevant indicators to analyze them.
    However, the first digital health products helped open new perspectives and the potential of connections between all the stakeholders. Empowering and engaging healthcare providers is also one of the key benefits of the first digital health initiatives. Beyond those elements, what’s crucial to ensure adoption and reimbursement is to demonstrate the cost savings the technology could bring to the current health care settings. Doctors also have to support it and be convinced of the use and utility for their own patients.
  • All in all, the future of healthcare is expected to improve outcomes, reduce hospital readmission rate and control costs while maintaining care access.
  • The experience of the speaker allowed him to say which business models where the most appropriate to survive and thrive in that new field. He established 4 directions (that can be combined):
    1. The patient is not a consumer. Generally speaking, he is not really willing to know that he’s ill. His main focus is to live. Family and friends are the most concerned about the patient’s health and wellbeing. Creating and developing tools that could ease the burden for the supportive people around the patient is generally well received and adopted.
    2. Understand the business ecosystem. Knowing where to position the company is fundamental to avoid being stuck in a no man’s land. Focusing on lifestyle, coaching or care pathways is different and requirements increase massively for the care pathway segment.
    3. The population is ageing and increasing. The health care system will have to support an additional financial burden with the passing of the years because we know that the majority of the costs is generated toward the end of life. Hospitals are paid today according to their own efficiency (shorter hospital stays as well as improved outcomes will generate higher payments from heath insurances). It is the OPM principle (Other People Money) meaning that the patient (who consumes) is not the payer. It is then crucial to find new solutions to reduce the costs.
    4. Understanding the disease is more than fundamental. Compliance and adherence management and control in order to avoid hospital readmissions is one of the main issues of the whole healthcare system. Beyond that point, enhancing and improving the patient’s experience as well as the quality of care could well trigger new motivations for the patient to be compliant to his treatment.
  • Go beyond sensors-mobile-cloud-dashbord to include blockchain technology, augmented reality, internet of things… + any relevant technology or innovation that can bring value to the system. This value has to be demonstrated and proved as viable for the whole system.
  • The technology has to be integrated in the patient’s experience, nearly invisible, but not less complex.

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PATIENTS LIKE ME – THE POWER OF WE
By Chris Fidyk, Business Development Director Europe

  • Accelerating research and development of new treatment but also allowing patients to support each other and exchange life experience with a disease is the main goal of PatientsLikeMe. That network is maybe the smallest social network but the larger medical registry with more than 500’000 patients. Patientslikeme provides tools for patients to put their disease into context.
  • Today, there is a lot of momentum about patient centricity. It becomes more mainstream. Patients owe other patients their own experience (drugs, symptoms,…). Empowering people to express themselves about their journey in the disease. Then, when all the stories are aggregated, meanings and trends can be extracted.
  • It is also possible to see all people taking the same drug, its perceived effectiveness as well as some conversation analytics allowing to understand which symptoms are the most talked about, the treatment awareness, the barriers to access in addition to the reasons behind their treatment failure or cessation or continuation.
  • Data (experience and discussions) stay online and available even when the patient dies to enrich other patients’ lives. Regular video postings on Patientslikeme Youtube channel show patients sharing their own experience with the website and how it helps them cope with their disease.

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ROCHE DIABETES CARE – EHEALTH: THE FUTURE WE CREATE TODAY
By Horst Merkle, Diabetes Management Solutions Director

  • You can only do something with data when you can access to it.
  • Infrastructure is the foundation for innovation and creativity” – as quoted by a speaker at the Connected Health Conference.
  • How to meet the future? The lack of healthcare staff, the increase in chronic diseases and the rising healthcare costs are the challenges. How to manage them: accountability and empowerment for the patient and the consumer. Mastering your own health with less health and care services.
  • Today, technology-driven health is messy. The solutions have to be easy to use and secure for the patient.
  • The Personal Connected Health Alliance (PCHA) is at the forefront of health and wellness in today’s society, driving advancements in mobile and communications technologies, and the growing use of new devices, health trackers and apps by consumers and healthcare providers.
  • PCHA brings together the critical elements needed to ensure that these technologies are user-friendly, secure and can easily collect, display and relay personal health data. In PCHA’s vision for healthcare, consumers can use readily available technologies to access their personal health data, receive targeted health and wellness education, consult with healthcare providers and gain support from friends and family to improve their health.
  • PCHA focused on engaging consumers with their health via personalized health solutions designed for user-friendly connectivity (interoperability) that meet their lifestyle needs.
  • Business models are the main obstacles for interoperability to work.
  • Accu-Check Connect System from Roche provides an integrated meter, an app, and online tools for better diabetes management. The glucometer can share data in the cloud with the healthcare provider.

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WITHINGS – FROM QUANTIFIED SELF TO PREVENTIVE MEDICINE
By Alexis Normand, Health Development Director

  • The main goal of Withings is to sell connected products to the general public. Those products can be bought in supermarkets and will help the consumer monitor vital signs such as weight, blood pressure,… Without being a doctor, the consumer can create a dashboard for his health. Changes in health are driven by him and, due to the fact that he generates data, he will be at the center of the data collection and analysis.
  • Those tools could also be used to enhance corporate wellness and engage employees through gamification. Employers will offer a connected bracelet and will organize a competition. Employers are however inherently screening employees for health issues and can analyze aggregated data to discover trends. Data around workout and physical activity are enriched by environmental and lifestyle inputs but also by stress management and absenteeism information.
  • In the e-health field, we are in the prevention area and also on new territories like personal health dashboard and employer focus on employees’ health.
  • E-health could be widely applied together with EHRs (Electronic Health Records). Linking EHRs to outcomes allow hospitals to monitor their performance to get more money from payers as they will limit the expenses for the system as a whole.
  • Withings also builds an open health data platform with the implementation of national observatories aggregating data from all the users. Those platforms will support research on connected devices with scientific publication and could stimulate partnerships and collaborations with other data sources.

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GROUPE MUTUEL – IGNILIFE – DAILY HEALTH COACH
By Stéphane Andematten, Marketing Leader

  • Real world business case from concept to realization in partnership with the startup Ignilife.
  • Today more than 165’000 health apps are available with 40% dedicated to medical uses and 60% to wellness.
    Regarding Switzerland, few initiatives have been developed to date. Groupe Mutuel would like to be the forerunner and not a follower in the field.
  • Ignilife is a French startup with a subsidiary in Switzerland. It is the perfect combination of entrepreneurship, medical skills and user experience. Ignilife has a previous experience with Malakoff Médéric, the leader for private health insurance in France.
  • Ignilife is a e-coaching platform based on people. It covers physical and emotional wellbeing. A first auto-evaluation is performed by the user in order to have a broad overview. An assessment is then released by the system with risk factors and advices to manage and lower their impact. Support and follow-up is provided as a selection of programs the user can choose from. He can also connect his devices.
    Close to 300 video and audio plays are available. Each time a contest or challenge is won, it is input in the platform to show the progress and evolution.
  • It is essential to develop a rich, engaging and fun platform to keep the user motivated. The goals set are reasonable and not out of reach. There is a social media component where users can exchange experience and tips. More functionalities will be developed in the next future (health at work, back health, burnout prevention,…)
    Data protection is well managed, as all the data are stored in Switzerland on independent servers.
  • Groupe Mutuel pretends it does not use data collected by user but only on an aggregated basis. The rationale behind the implementation of such a project is the focus on prevention. It will help to keep health expenses at an acceptable level in the longer term.
  • Some stats:
    25’000 Ignilife users (out of more than 1’100’000 insured people)
    Mobile users connect much more than desktop users (2x)
    91% did their auto-evaluation
    61% engaged in a coaching program
    47% changed their habits

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MANAGE MY DATA OR BE MANAGED BY MY DATA
By Stéphane Koch, Expert in Digital Experience

  • People like to measure their own weight, the calories they burnt, their heart rate,…
    There is a real value added in using quantified self.
    However, coherence is not always part of the measures and can distort statistics extracted out of the data. Sensors sometimes lose connection with the app leaving gaps or errors in measures. Improving apps with coherence system would be a big step further or even allowing the user to correct the data himself.
  • Quantified self generally has a positive impact on the user’s wellbeing but it can also generate stress if the progress takes time to emerge or if it stops. Knowing the scope of the technology as well as his body are fundamental.
  • The website DMD (in French) allows the evaluation of digital tools and the sharing of everyone’s user experience.

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CIPRET – 7000 SWISS PEOPLE STOPPED SMOKING THANK TO A FACEBOOK PROGRAM
By Alexandre Dubuis, PhD, CIPRET Valais leader

  • CIPRET is a center for the prevention of tobacco use, recognized of public interest by authorities.
    It launched early 2016 a program to help people stop smoking via Facebook.
  • A real human adventure started and succeeded. The initiative was in 2 phases: recruitment and program on the same platform. It was completely free for the users. They just had to like the page, say they are interested and accept that all the posts written by CIPRET were the first they saw when they opened their Facebook app.
  • 3 pillars of the program:
    – Daily advices (personalized and not always linked to tobacco consumption)
    – Group support (tips and experience sharing)
    – Physical desire to smoke (will only last between 3 and 5 minutes => tips given to avoid relapse).
  • Professional support has been organized at 3 levels : the first one, community managers answer simple questions ; the second one, prevention experts take specific questions ; the third level, medical practioners take care of medical questions.
  • Some stats:
    1’500 posts created
    Support was on call during the whole week from 6am to 11pm
    13’000 messages have been answered in the first weeks
  • Key strengths: no moral scolding, always up-to-date, focus on workouts, nutrition, Sunday evening chats, real meeting groups.

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L.I.F.E – EXPRESS YOUR TRUTH THROUGH YOUR ACCURATE DATA
By Dario Ossola, PhD, Algorithm R&D Coordinator

  • L.I.F.E stands for Live – Inspire – Free – Entertain
  • The project started at the core of The Ark and focused on predictive models for tiredness, exhaustion and strain with the development of a garment.
    That garment is equipped with sensors to monitor vital signs (it is medically accurate and there is no need of a smartphone). It allows total freedom.
    It can be the third platform of communication (with the first 2 being computers and smartphones).
  • The medical accuracy is fundamental and it can be used in medical practice but also in sports. That garment has the same results as the invasive methods to analyze vital signs. It allows real life measurements and expansive communication (data omnipresence, diverse data analysis levels).
  • Two web sites: http://x10x.com/ (for women) and http://x10y.com/ (for men)

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ISYPEM2 – PERSONALIZATION OF TREATMENT DOAGE THANK TO MEDICAL DATABASES
By Séverine Petitprez, Scientific associate, Clinical pharmacology CHUV and Alevtina Dubovitskaya, Research assistant, HES-SO Valais

  • Software for personalized treatment dosage.
    Unique treatment dosage works very well for simple drugs like paracetamol. Unfortunately, for oncology or chronic diseases drugs, which are much more complex molecules, it doesn’t work as well. It can lead to toxicity, side effects or no effect at all.
  • Therapeutic follow-up normally starts with a blood sample, pharmacology experts interact and guide the doctor in order to personalize the treatment.
  • A new software (EzeCHieL) do exactly the same but in a much faster and more practical way. The software can create the patient’s drug metabolism curve based on the EHR (Electronic Health Record) and medical databases. Some genetic characteristics or co-morbidities can lead to changes in drug blood concentration.
  • Interoperability (web interface) as well as confidentiality and data security are guaranteed (pseudonymisation, anonymisation).

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KARMAGENES – BE A GAME CHANGER MEET YOURSELF
By Kyriakos Kokkoris, CEO

  • Karmagenes is a game combining gene profiling and psychological analysis. Integrating genetics with psychology for improved personal development.
  • What defines who you are: what you are (DNA) and where you live (environment & perception).
  • Genetics meet psychology.
  • Human centric approach
  • Could be a network of personalities and connect locally.
  • Personal guide for career development, personal motivation, and physical as well as emotional well-being.

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PANEL DISCUSSION – E-DOCTORS AND E-PATIENTS, AN EMERGING RELATIONSHIP
Moderated by Sébastien Mabillard, Swiss Digital Health coordinator with 5 paticipants: Dr. Jean-Gabriel Jeannot; Dr. Pietro Scalfaro; Pierre-Mikael Legris; Christine Bienvenu; David-Zacharie Issom.

  • The market is not yet mature, a lot of opportunities are waiting to be seized.
    The patient is at the center of all motivations.
  • Despite new technologies, there is a lot to do to reach the patient. Few success stories (the CIPRET is however an excellent example).
  • What about doctors’ digital education? Patients are really driving the trend today; they stimulate doctors to be up to date and they push technology adoption.
    Patients are very often looking for information online. Doctors should be prepared and help patients to use the right web sites in order to find appropriate and correct information. Doctors should also contribute and provide content on website to populate them with correct information.
  • All that information help to start interesting conversations. Information exchange should also be facilitated. The patient could be educated to provide the appropriate amount of information to avoid overload.
  • Patient should take part and be part of medical research. The patient is the least used resource in health care. With patients’ associations, precious information is stored and exchanged. That data can be analyzed.
  • The social component is extremely important for patients. Several of them like to share their experience and find support online. They also feel useful to provide information for other that have been diagnosed recently.
  • By giving access to medical and health information, communication and interactions with doctors will be easier and improved.

Alphabet (ex-Google) is the next big thing in Life sciences

A lot is currently written about the initiatives launched by Alphabet (Google) in the life sciences field.

I had the wonderful opportunity to have a look at the report written by the internet analyst, John Blackledge, from Cowen and I must say that he’s very smart at showing the huge potential of the life sciences at the core of Alphabet (Google).

This report is amazing as it allows you to have a better understanding of what’s happening now inside Alphabet (Google). I summarized the key points/quotes from the report below and I added other articles at the end of this blog post. Moreover, I will update it frequently as the news come in. This is a fascinating topic, I really hope Alphabet (Google) would be able to replicate the same success it has built with its search engine.

Key quotes & comments from the report:

  • Expansion into health care and related segments allows Google to leverage its core competencies in Internet communications technology, data structuring and analysis, and fundamental process reinvention.

 

  • Specific areas of focus in healthcare include:
    (1) the sequencing the human genome and the rise of precision medicine: despite the monumental significance of mapping the human genome and the implications for drug discovery, this was but one step in a long journey that continues to this day. Moreover, genes are but one factor in disease, and little is known about what role environment and lifestyle play.
    (2) the digitization of health data is exploding, with a virtually endless list of sources that can offer insight into clinical data, drug studies and more. As more data is digitized, there will be a profound impact on how patient care is administered, how therapies are researched, and how drugs are tested. EHRs (Electronic Health Records) are crucial but implementation is very challenging. Harmonization and data aggregation need to find their way. Wearables are another interesting topic in the digitization of health data. Social media and discussion boards as well as patients website are essential parts of the system that must be closely monitored as more and more patients use those communication channels in order to provide feedback and comments on treatments and daily struggles with healthcare providers.
    (3) the shift to value-based care, where payments are based on the value of care, is driving a change in how services are delivered and how much consumers engage in the process. From a provider perspective, doctors are incentivized to manage patients to the best possible health outcome at the lowest cost. From a patient perspective,
    consumers are being empowered to take a more active role in their own health care.
    These health care trends are being accommodated by technology advances in areas such as social, mobile, analytics and cloud computing, all areas of Google expertise.

 

  • Alphabet invests in health in five different ways:
    (1) Google Life Sciences originated in Google[x], a research lab within Google that was funded by the company’s board of directors in January 2010 to pursue “moonshots”—audacious new projects that have a low probability of succeeding, but could be truly revolutionary if they do. The company views moonshots as critical in driving the true innovation required to affect revolutionary change and avoid the “incrementalism” or evolutionary change that tends to lead to corporate irrelevance over time. The Life Sciences team is responsible for such innovations as glucose monitoring smart contact lenses. With an expanding list of intellectual property, Life Sciences has begun to accelerate its collaborative efforts with third parties. The company is aggressively partnering with leading players in the health care space on a growing number of programs.
    (2) Calico’s mission is to harness advanced technologies to increase understanding of the biology that controls lifespan. Calico was originally conceived by Google Ventures President and General Partner, Bill Maris, who observed that most companies seek to find treatments for disease and associated symptoms, but that none address the root cause of disease and death. He wondered if studying the impact of aging on genetic material could lead to the discovery of drugs that could address many age-related diseases and significantly extend the human life span.
    (3) Google Ventures has provided seed, venture and growth stage funding to a host of companies in diverse fields, but its stated focus is machine learning and life science investing.
    (4) Google Capital was formed to invest in later-stage technology companies with a focus on emerging technology leaders and potential disruptors. Unlike the earlier stage companies in Google’s other investment vehicles, the later stage companies in Google Capital tend to be fairly common household names. Although the stated focus of Google Capital is on technology companies, the collision of technology and health care is blurring the lines of what a traditional “technology” company looks like.
    (5) Google Core: Over time, Google has invested in numerous health-related initiatives within its main corporate division. These have tended to be very closely linked to the company’s core businesses, such as Search. Earlier this year, the company announced that it will add health information that has been fact-checked by physicians directly to search results. The company is also talking to the FDA about using search query data to identify adverse drug reactions.

 

  • Google’s Health-Related Focus Areas: regardless of where they are housed within Google’s corporate structure, most of Google’s health-related endeavors share common characteristics.
    (1) Longevity
    (2) Genetics and Chronic Care
    (3) Diagnostics
    (4) Diabetes/Digital Health
    (5) Medical Devices
    (6) Telehealth/Digital Health
    (7) Wearables/Fitness

 

  • Google’s health endeavors fit with the company’s goals of “making the world’s information useful” and helping millions of people. Indeed, Google believes that many of the same principles, techniques and problem solving capabilities employed by its software developers can be applied to the massive inefficiencies that exist in health care to create transformational solutions and medical breakthroughs that help people live longer, healthier lives. Health care ambitions can be summarized as:
    (1) Analyze: Analytics to inform decision-making and provide business insight
    (2) Attract: Attract health care constituents to platforms and solutions that drive engagement
    (3) Aggregate: Aggregate data from disparate sources onto the Internet or GCP

 

Additional resources:

Alphabet to help researchers predict disease – Financial Times – April 2017

Google Life Sciences Exodus – STAT – March 2016

Verily, Google’s Health Gambit, Is Stacked With Scientists. Now It Needs to Build a Business – ReCode – December 2015

Google hires mental health expert to lead new life sciences unit – Financial Times – September 2015 (Subscription required)

Head of Mental Health Institute Leaving for Google Life Sciences – The New York Times – September 2015

Google Bets on Insurance Startup Oscar Health – WSJ – September 2015

Is Health Care Google’s Next Big Business After Search? This Investment Bank Thinks So – Re/Code – September 2015

Why Google Is Going All In On Diabetes – NPR – September 2015

Google’s health startup, AbbVie team up on drug research – Chicago-Sun Times – September 2015

Google Life Sciences Company Has New Deal, Official Nemesis in Diabetes – Re/Code – August 2015

Alphabet Breathes New Life, Resources Into Google’s Health Care Projects – iHealthBeat – August 2015

Google Health – Easy as ABC. Alphabet, Calico and the Aging of Humanity – What on Earth are they doing? – Digital Intervention – August 2015

 

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Hacking the Human OS – IEEE

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A mind-blowing report from IEEE about the human body’s operating system

Can we harvest digital health data from trackers and sensors to improve our health and well-being? I summarized below what you will find on the IEEE dedicated web page. I was amazed by the variety and depth of all the innovations presented in these pages. Some of them have certainly the power to be game changers in the health care world. I’m looking forward to seeing all the advances coming to life!

Reading the Code

Several technologies are close to the market and will help us monitor our health. A very good example is the biostamps developed by John Rogers from the University of Illinois. These tiny, stretchable and skin-like sensors are able to send information and data to our smartphone alerting us whether something is happening in our body. More and more complex data could be sensed such as blood oxygen, blood glucose and even muscle weakness or sleep patterns.

Another fascinating example that could change the life of Type 1 diabetes patients is the artificial pancreas. It links “data from an implanted blood-sugar sensor to a computer, which then controls how a pump worn on the hip dribbles insulin under the skin through a pipette. In its fully realized form, the machine would take the patient out of the decision-making loop”. Advanced versions of the system are currently in clinical trials. Continuous monitoring is a huge advance in the field of disease management. It could strongly lighten the daily burden of each patient.

Another field where wearable are very popular: athletes. They are always eager to test the last innovation in the wearables arena. Physiological measurements can be extremely useful to optimize training and rest periods, improve performance and avoid injuries. Sleeves, wristbands, sensors equipped with highest technology can really make a difference in the way we monitor and track performance.

A device rapidly diagnosing any medical condition or disorder… Sounds like science fiction, right? Like in Star Trek… Some of you may recall the tricorder. And guess what? It’s about to become reality thank to a competition launched by Qualcomm. 300 teams registered, 10 finalists which are about to deliver their prototypes very soon. Once the winner has been chosen, real life clinical trials will start and we will know if it’s really working as expected. It’s a huge step forward as it will allow the diagnosis (and maybe the start of a treatment) for a lot of people, not only in US or Europe but also in emerging countries where the lack of medical infrastructure is killing human beings…

 

Analyzing the Code

Technology companies showed their interest in healthcare only recently… It’s welcomed because without technology you cannot do anything with data sets. However, some people are afraid of their data becoming public and being hacked. I think that between these two extreme opinions, we can take the good from both sides and see what this can bring us. “Apple, Google, Microsoft, and Samsung, have all launched e-health initiatives, mostly based around smartphones and wearables. Indeed, the fast-growing health care business would seem a natural next step for the tech giants”. A lot of deals have been signed between pharmaceutical companies and technology firms: Google and Novartis; IBM, Apple, Medtronic & JNJ… These are deals to follow in order to analyze the outcomes. Great initiatives could really emerge and I think we are at the beginning of a new era!

Long term analysis could help us understand in a more detailed way how we get sick, how the disease develop and how we could have anticipated it by looking at biomarkers trends.

The new era of precision medicine is making a big difference for patients. An open-source platform has transformed the way patients are being treated. Surgery is not always the best option in oncology for example and sometimes drug treatment is much more effective. A thorough and careful analysis of all the parameters will help doctors taking the right decision for the right patient at the right time.

Real-time epidemics modelling could have saved lives. Building treatment centers at the right locations, anticipating the spread of the disease (in this case, Ebola) and how to limit the contagion were several of the criteria used to run the model. We will never know what would have happen without such a model but globally we can say that modelling is critical in disease management. Additionally, it is not the use of a single model that will be helpful but the customized and accurate modelling for each and every epidemic, according to its characteristics.

 

Changing the Code

Performing surgical interventions at very small scales is becoming a reality. “Thanks to developments in microfabrication and other areas, researchers are pushing the limits on the size and capabilities of objects small enough to move through the human body”. “With the right design, researchers say, a microrobot—or a swarm of them—could deliver a highly targeted dose of drugs or radioactive seeds, clear a blood clot, perform a tissue biopsy, or even build a scaffold on which new cells could grow”. For the time being, tests have only been run in animals.

A new emerging medical field: electrical therapy. Vagus nerve stimulation has the potential to treat several conditions from migraine to asthma, even immune diseases. Progress is very slow and several failures have made history… but new startups are created and renew the interest in this type of technology.

W like Watson, the digital MD. Watson is based on machine learning: “bringing together computer scientists and clinicians to assemble a reference database, enter case studies, and ask thousands of questions. When the program makes mistakes, it self-adjusts. Researchers also evaluate the answers and manually tweak Watson’s underlying algorithms to generate better output. Here there’s a gulf between medicine as something that can be extrapolated in a straightforward manner from textbooks, journal articles, and clinical guidelines, and the much more complicated challenge of also codifying how a good doctor thinks.” Progress is under way.

 

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Pharma’s getting savvier about social media – Fierce Pharma Marketing

SocialMedia

European companies seem more advanced in using social media to interact with key stakeholders

An extremely interesting report from Ogilvy Healthworld about the strategic use of social media by pharma companies has been published recently. It is possible to access the key points on SlideShare. Just 5 companies out of 14 are getting patients, doctors and the media interested, delivering relevant info, inspiring actual conversations.

Some aggregated trends spotted by Ogilvy:

– 1.3 million Facebook followers

– Average number of pharma tweets per week has gone up by 530% since 2013

– Number of Twitter followers has tripled to 790,000

Who are the best socially positioned companies?

1. Boehringer Ingelheim

2. Bayer

3. Novartis

Patricia Alves from Boehringer quote: “The conversation is already out there. People are talking about you, whether you’re active or not. Social media gives you the opportunity to engage in that conversation, to give your position and your statement, and maybe then hopefully change the opinion of one person or two.”

Some tips from Ogilvy in order to improve the social fingertip of a pharma company:

– Be Brave

– Get Personal

– Move Fast

– Back Yourself Up (from a regulatory point of view)

– Give Guidance

– Inform and Educate

Fierce Pharma Marketing Article

More resources:

Healthcare Marketers Trend Report 2014 – Ogilvy

Engaging patients through social media – 2014 – IMS Institute for Healthcare Informatics

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