Digital twins

Digital twins Agency Consulting firm Experts Specialists Consultancy

Explore the market potential of the digital twin in healthcare

Alcimed’s Healthcare team has been exploring the role of digital technology in healthcare for more than 25 years, with digital twins recently becoming a hot topic. With its strong expertise in the field, Alcimed supports its clients in their innovation projects, understanding the digital twin industry and market as well as potential use cases in the healthcare field.

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    The challenges related to digital twins in healthcare

    The most advanced digital twin applications within the healthcare field today are being developed in cardiology with industry players like Siemens Healthineers, Dassault Systèmes, Philips or HeartFlow. These companies are developing digital twin models of the heart representing, for example, the electrical behavior of the organ for the setup of a pacemaker, the chemical aspect of the heart for drug development, or the mechanical response for surgery virtual simulation.

    Although the possibility to create digital twin models for applications in healthcare already exists today, the technology is not widely adopted yet as companies and institutions face several challenges to start testing and applying this digital twin technology to specific healthcare problems. Some of the challenges in implementing the twin technology include:

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      How we support you in your projects related to digital twins in healthcare

      For more than 25 years, Alcimed has been supporting its clients on a variety of projects related to digitalization and artificial intelligence, including exploring digital twin applications in the healthcare field. Indeed, we have carried out multiple projects in this field for different actors such as international biopharmaceutical and pharmaceutical companies (e.g. Boehringer Ingelheim) and MedTech companies (e.g. Siemens Healthineers).

      The diversity of our clients combined with the geographical fields we explore and the types of projects we carry out gives us a global and in-depth understanding of the issues addressed in the field of digital twins.

      Our projects cover topics as diverse as evaluating market opportunities, understanding disease management and patient care pathways, regulatory developments, assessing potential competitors or partnership opportunities, new technologies and applications for digital twin technologies in healthcare, among others listed below.

      Examples of recent projects carried out for our clients in digital twins

      • Support of an industry player in the identification of good practices and key success factors for the development of digital twins

        One of our clients aimed to identify good practices and key success factors for the implementation of digital twins and understanding the key features required for these models. To do this, our team identified and selected companies currently using digital twins and prioritized the companies based on the interest for our client. Through interviews with the targeted companies and desk research, Alcimed identified good practices and success factors which were then conveyed to the client in the format of two workshops.

        This study enabled our client to get a clear vision of how digital twins are being used by potential competitors as well as to understand what clients’ expectations and needs are concerning the digital twin technology.

      • Support for a major player in the pharmaceutical industry in landscaping in-silico players with applications in digitalizing pharma R&D

        Alcimed supported a player in the pharmaceutical industry in exploring the field of in-silico and its applications in pharma digitalization with the goal of identifying partners and players to help digitalize our client’s R&D. This included machine learning, artificial intelligence, digital twins, simulations, mathematical models, among other digital solutions to accelerate research by saving time and costs.

        Alcimed identified key trends in pharma digitalization and several companies to potentially partner with our client via desk research and interviews with KOLs, and then deep-dived into the capabilities of prioritized companies by interviewing key stakeholders within these organizations.

        Our analysis enabled our client to get a clear vision on potential partners and the way to digitalize its Research & Development.

      • Studying the potential of a novel Internet of Things (IoT) healthcare platform for a MedTech player by creating value and a new business model via a digital twin

        Alcimed supported a MedTech industry player in setting up a healthcare technology platform to enable the creation of a digital twin by connecting all industrial systems and provide a broad portfolio of digital services based on the Internet of Things (IoT).

        The knowledge gathered by our team in this project provided our client with an in-depth understanding about the key needs and wishes of the platform end-users and enabled to identify different potential applications of the platform within the healthcare sector.

      • Supporting a leading healthcare player in the benchmarking of digital twin technologies across different industries

        We supported a major player in the healthcare industry in the evaluation of the potential of digital twins technologies to develop innovative ways to improve the quality and safety of its products. To do so, we identified what types of digital twin technologies exist, how other industries with similar challenges are using them, for what purpose, and the steps required to develop and implement digital twins for the enterprise ecosystem.

        This analysis validated the added value that digital twin technologies can bring to the healthcare sector and to our client, and helped define their co-development partnerships, supported by a development roadmap.

      • Creation of a digital twin of France to answer complex medical questions for a player in the pharmaceutical industry

        In a context of opportunities arising from the growing availability of large datasets, a major global pharmaceutical group wanted to create a digital representation of France that could help resolve complex medical issues, such as better prediction of the location of allergic exacerbations.

        To meet this need, we built a digital platform by unifying sets of French socio-economic and exposome data, as well as an interface enabling them to be viewed and facilitating their analysis. Specific medical data for the desired medical use cases were added to enable cross-analysis.

        In the end, our work enabled the development of a pilot based on a simple and specific use case, which was presented within the organisation and generated new potential use cases.

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