Resource Regions: Central and Eastern Europe

Globally, cities are rediscovering the importance of their rivers as a central tenet of the health, wellbeing, and economy of a city. A river was often, if not always, the reason for a city to develop and grow, but during the 20th century city, authorities began to focus primarily on the built environment and to see water management as a less important sub issue of city management.

With the rise of environmental awareness in the 21st century, cities are beginning to relook at the interrelationship between the built environment and their rivers. We have been tracking this new direction through their research on River Cities and how technology now allows us to instrument both water and the built environment in concert.

According to our research, 28% of local governments across EMEA are already investing in smart rivers with an additional 29% considering investing in the future (IDC Survey, December 2023).

The French are Reclaiming their Rivers

France is emerging as a leader in this process, and the clearest example of this will be the opening ceremony of the 2024 Olympic Games.

Paris is the most visited city in the world, and it is impossible to imagine Paris without picturing the Seine. Olympic opening ceremonies are historically held in a stadium, but France will be using the banks of the Seine for the ceremony to increase participation and celebrate the special relationship between the river and the city.

The Digital Twin Project

A further French example of this new thinking is captured in a recently published IDC Perspective Building a River Digital Twin: A Case Study of the Port de Bordeaux. This document provides an overview of a project led by the Port de Bordeaux, an entity managing marine activities across Bordeaux and the Gironde Estuary.

The objective of the project is to create a digital twin of the Estuary – the largest Estuary in Western Europe covering around 635 km2. The Gironde Estuary is formed from the meeting of the rivers of Dordogne and Garonne and spans several cities, the main one being Bordeaux with more than 250k residents. The Port de Bordeaux manages 7 terminals is the 7th largest French port in terms of traffic.

The digital twin was built to help project participants in both their day-day tactical decision-making process (for example, information on water levels, pollution and navigation) as well as addressing longer-term and strategic challenges (adaptation and impacts of climate change). The Port de Bordeaux developed 8 core goals for the digital twin project:

• Sharing and developing knowledge of the river.
• Promoting the exchange of data and operational results.
• Anticipating the effects of climate change.
• Identifying mitigation solutions.
• Developing economic, recreational and tourism opportunities.
• Preserving biodiversity and environmental wealth.
• Developing coastal and river surveillance (alert systems).
• Fostering replicability of the platform on other rivers.

An innovative aspect of this project is that the project team looked beyond environmental challenges to a broader set of objectives, including, for example, economic and recreational activities. This approach is centred on the view of a river as a complex ecosystem of different stakeholders and an integral part of the identity of the region. The project has a wide target audience, and the use cases, outputs and goals were co-created with the relevant stakeholders at the design stage.

Digital twins are at an early stage of adoption for rivers and marine environments. However, the application of technologies to the blue economy is increasing.

We predict that, by 2027, threatened by water scarcity and extreme weather, 40% of large cities will have digital twins of their water resources to manage water supply, quality, resilience and behavioural change (IDC Smart Cities and Communities 2023 Futurescape).

The Port de Bordeaux is an early adopter and can provide a model and blueprint for others to follow as a core principle of the project was making as many aspects as possible open source. Local stakeholders can upload their own data and use the GIROS platform to visualize their results. This supports a broader community of users being able to take advantage of the model.

Crucially, the Bordeaux project team intentionally designed the solution to be replicable on other rivers; while the numerical model for the Gironde is geographically specific, the framework and architecture of the solution is being made publicly available.

We are soon to publish our first Tech Innovator report on companies involved in rivers and water management and are keen to hear of innovative technology solutions and case studies involving river management for future reports so please do get in touch with us jdignan@idc.com, lbarker@idc.com, rletemple@idc.com

This year’s Enlit Europe, which took place between November 28 and November 30 in Paris, attracted almost 12,000 visitors,700 exhibitors from 100 countries and 500 speakers, — proving once again to be a reference point for the European (if not worldwide) utility sector.

Sessions on the energy transition (energy efficiency, electrification and decarbonization), flexibility, and digitalization, as well as numerous hub sessions, provided a great opportunity for knowledge sharing during the three-day event. Here are our key takeaways from discussions and debates with technology providers and utilities.

Among the conversations with various utility leaders, three key themes emerged that outline the direction in which this industry is moving.

• Flexibility at the heart of energy transformation. One of the dominant conversations that continued this year at Enlit is the growing criticality of flexibility for the utility industry. With increasing renewable energy sources and the need to integrate distributed energy resources more effectively, utilities are increasingly focusing on operational flexibility. Additionally, booming electrification requires demand flexibility to mitigate the impact of the energy transition on grids, which are the invisible enabler of it all. Industry representatives stressed the importance of investing in technologies and systems that enable more dynamic grid management, ensuring more efficient and sustainable energy distribution and consumption.
• The imperative of marketing. Another interesting aspect that emerged during the event was the growing success of utilities that understand the value of marketing, to change customers’ perception of their company and the industry as a whole, while improving their relationship with consumers. Utilities that have invested in understanding consumer needs and have built strong brands are reaping the benefits. Utilities are at the heart of a transformation that impacts everyone and will set the stage for the next generations, if done right and marketed well, companies can turn misconception of the industry on its head, leading to newfound success.

• What about Generative AI? Despite growing interest over the last year, the topic of GenAI was not as apparent as we would have expected. Discussions we had were more focused on the benefits of horizontal applications of GenAI and very rarely on industry specific use cases that utilities should be digging into. Currently, the discourse on GenAI tends to be more high-level than practical, with utilities trying to figure out how to integrate this technology effectively into their daily operations. The largely uncharted territory of GenAI also raised additional conversations around artificial intelligence and machine learning overall and the untapped potential that still exists. And it all came back to the topic of “data” … the quality of the data, the frequency of the data, the amount of data, etc. The challenge now is for utilities to translate high-level discussions into concrete and practical action, successfully addressing industry challenges and capitalizing on emerging opportunities. And for this they need the help of their peers and the technology ecosystem that surrounds them.

Overall, it was positive to see an Enlit returning to its pre-COVID bustle, with a diverse pool of companies exhibiting on the floor, both from a software and a hardware perspective. Let’s hope the onsite enthusiasm trickles into utilities daily activities fostering more drive to the energy transition.

Here’s to quickening progress in 2024 to be discussed when we meet in Milan at next year’s Enlit Europe.

For more of our coverage on the energy market, visit our website.

As it’s ChatGPT’s first birthday, now seems like a good time to look back at what its arrival has sparked, and to look forward at what might happen next with Generative AI.

There is no doubt that when OpenAI launched ChatGPT in late November 2022, it kickstarted a huge new wave of excitement about the potential for AI within business. A major survey conducted by IDC in August 2023 showed that in just a few months, we arrived at the situation where 75% of European organizations said they were already working with Generative AI (GenAI) in some capacity. What’s more, 18% of European organizations said that GenAI had already disrupted their business to some extent.

In August 2023. That’s just 9 months after ChatGPT’s debut.

It’s important that we remember that GenAI didn’t come from nowhere: prior to ChatGPT’s launch, a number of organisations (including Google, and OpenAI itself) had been working on GenAI technologies for years. But it was ChatGPT’s user-friendly conversational interface, and free service, that created high levels of awareness about what GenAI might be able to do – in an extraordinarily short space of time.

Of course, it’s important to note (as we have in numerous publications) that the GenAI opportunity is about much more than chatbots. Organizations are exploring use cases spanning marketing content generation, knowledge management, automation of software development activities, and much more.

Together, this span of use cases is driving massive interest. Some other key insights from IDC’s August GenAI survey:

• 55% of European organizations said their C-Suite leaders are actively engaged with IT leaders about GenAI on a regular basis.
• European C-Suite leaders are most interested in how GenAI can have an impact on customer experience (24.3% said this was the most sought information); how it can improve the performance of decision making (18.1%) and how it can improve employee productivity (15.8%).
• European C-Suite leaders want to move fast: 88% of respondents said their C-Suite leaders wanted to integrate GenAI into applications and processes within 18 months.
• On average, European organizations expected that investments in GenAI would account for 11% of new IT project budget in the next 18 months.

IDC forecasts that worldwide spending on GenAI implementation will reach $143.1B by 2027: that accounts for about 28% of the expected overall spending on AI implementation in that year. At a 5-year CAGR of 73.3% between 2023 and 2027, this represents a colossal market opportunity, that will significantly affect existing hardware, software and services markets.

As a result, it’s natural that OpenAI has now been joined by many new competitors all aiming to provide commercial GenAI models. The company now has competition from AWS, Google, and IBM, as well as other specialists (Cohere, Anthropic, Mistral, Inflection and Aleph Alpha are some examples). And enterprise application vendors like SAP, Salesforce and ServiceNow are leveraging open-source alternatives as well as partnering with a wide range of commercial model providers, in order to embed GenAI features in their application suites and platforms.

So – with GenAI set to be a major force in enterprise technology over the coming years, what happens next?

I’ve long wondered whether OpenAI might be an outlier in terms of how it approaches the GenAI opportunity; and indeed, whether its strategy makes it risky to focus too much on what OpenAI does, as a way to get a sense of overall market direction. I’ve said multiple times to colleagues and clients that OpenAI is more like a research outfit that is figuring out how to make its tech available to the world, than a product company.

Certainly, OpenAI has been culturally distinct from its competitors since before the launch of ChatGPT. While its competitors are primarily focused on developing products that businesses can use, OpenAI has operated as a hybrid between a not-for-profit research outfit committed to trying to develop what it calls “AGI” (Artificial General Intelligence) – something that many commentators feel is a very long-term project – and a commercial venture. Because it is at least partly focused on this long term mission, OpenAI is less focused than many of its competitors on meeting the real-world current needs of business customers. Which means that although OpenAI created the market that we see today, its future as a significant force in the market is far from guaranteed.

This question has come into sharp focus in recent days, as a soap opera has rapidly unfolded at OpenAI. On November 17th, without any warning, the company’s board fired its CEO, Sam Altman. The company’s President and co-founder Greg Brockman also quit. But within 48 hours, investors in the company called for Altman’s reinstatement as CEO, and for the board to quit instead. At the same time, Satya Nadella, CEO of Microsoft (OpenAI’s strategic investment backer) announced that Altman and Brockman would join Microsoft to found a new AI research lab; and hundreds of OpenAI employees signed an open letter to OpenAI’s board, saying they would quit unless Altman and Brockman were reinstated.

At one year old, human children are a hot mess of crying, screaming and unexpected and unmanaged bodily functions. Based on current events, it looks like the organization behind ChatGPT, which kicked off so much industry excitement, might be exhibiting the same tendencies…

For more information on GenAI in EMEA download our eBook: Generative AI in EMEA: Opportunities, Risks, and Futures , or visit our website.  

Heavy machinery, automotive, and machine building typically have complex bills of material, multi-tier supply chain networks, and depend on carbon-intensive materials such as steel, aluminum, and plastics. To meet sustainability goals, these engineering-oriented value chains (EOVC) must undergo a transformative shift.

Manufacturing organizations stand at the forefront of decarbonization efforts worldwide. In 2022, IDC’s Industry Intelligence Survey found that customer requirements drove investments in sustainability as a strategic business priority for 45% of U.S. and 39% of European manufacturing respondents. For 40% of U.S and European respondents, regulatory requirements were the leading sustainability investment driver.

Decarbonizing the entire value chain — with a particular focus on Scope 3 emissions — is central to the evolution of EOVCs. Scope 3 emissions represent a significant share of a company’s overall carbon footprint, extending beyond direct operational activities (Scope 1) and indirect energy consumption (Scope 2). Scope 3 emissions encompass indirect emissions generated across the value chain, including the production of materials like steel, plastics, aluminum, batteries, and glass.

Understanding the dynamics of affordable (and available) clean and renewable energy is crucial to developing an emissions-free supply chain. Europe, however, faces significant challenges in deploying the low-carbon energy resources crucial to decarbonizing supply chains in general.

Many challenges related to value chain decarbonization are addressed at the C-suite level. However, the roles that must implement these strategies include material engineers, procurement department leaders, quality managers, and supplier management leaders.

As material and production technology evolves, new components are developed, and new regulations emerge, those in supplier network management-related positions must have detailed knowledge about the impact of component materials on carbon footprints. We are not talking about emissions related solely to logistics, but about the carbon footprint of the production process itself.

Products like steel, aluminum, electric batteries, and plastics are often referred to as “hotspots” — that is, making them produces major emissions of CO2 and other greenhouse gases and is a leading contributor to the auto industry’s emissions footprint.

According to a McKinsey & Company study, typical upstream EV emissions include the battery (40%–60%), steel (15%–20%), aluminum (10%–20%), and plastics (around 10%). Upstream internal combustion engine (ICE) vehicle emissions include steel (25%–35%), aluminum (20%–30%), and plastics (15%–20%).

Let’s briefly examine the carbon-emitting hotspots in EOVC supply chains.

Batteries

The rise of EVs has highlighted the environmental impact of battery production. Manufacturing lithium-ion batteries involves resource-intensive processes that contribute to Scope 3 emissions. EV batteries contain nickel, manganese, cobalt, lithium, and graphite, which emit substantial amounts of GHGs during their mining and refining processes.

Some processes in the production of anode and cathode active materials require high, energy-intensive temperatures. Other factors that determine the amount of embedded production carbon include battery chemistry, the production technology, the raw material suppliers, and transportation routes.

Oliver Zipse, chairman of the Board of Management of BMW, said in a statement that the company’s competence center near Munich is laying the technological foundations for the efficient and resource-saving production of battery cells along the entire value chain. The statement said sample production of sixth-generation round cells has already begun. These cells are characterized by an up to 20% higher energy density, and BMW has been able to reduce the CO2 footprint in cell production by up to 60%, according to the statement.

• Worth Watching: On November 21, 2023, Swedish company Northvolt announced a state-of-the-art sodium-ion battery developed to expand cost-efficient and sustainable energy storage systems. The cell has been validated for an energy density of 160+ watt-hours per kilogram at the company’s R&D and industrialization campus in Västerås, Sweden. This energy density is close to that of the type of lithium batteries typically used in energy storage. Lithium batteries used in electric cars have an energy density of up to 250–300 watt-hours per kilogram.  Northvolt says the technology can minimize dependence on China for the green transition. Battery designers and engineers, as well as supply chain managers, are advised to keep an eye on the company’s efforts to scale the technology for industrial use.

Steel

Traditional methods of steel production cause high emissions due to the use of fossil fuels in the smelting process. Decarbonization efforts involve adopting innovative technologies like hydrogen-based steelmaking and electric arc furnaces powered by renewable energy. Transitioning to sustainable steel production is vital to mitigating the impact of Scope 3 emissions and reducing the automotive industry’s overall carbon footprint.

Plastics

Plastics, widely used in automotive components, pose an environmental and sustainability challenge. The production of plastics, particularly from petrochemical sources, contributes significantly to carbon emissions. Addressing this hotspot involves embracing circular economy principles, recycling plastics, and developing bio-based alternatives. Recycling initiatives and reducing dependence on fossil fuels for plastic production will enable the automotive industry to make substantial strides in Scope 3 emissions reduction.

Aluminum

Aluminum, valued for its lightweight properties crucial to fuel efficiency, is a key material in automotive manufacturing. Traditional aluminum production is energy-intensive and contributes to significant carbon emissions. The adoption of recycled aluminum, coupled with advancements in low-carbon primary aluminum production, is essential to mitigate environmental impacts. Innovations in aluminum production processes (e.g., smelting using renewable energy sources) offer promising avenues for reducing Scope 3 emissions.

Conclusion

Collaboration across the entire value chain — from raw material suppliers to manufacturers and consumers — is critical to drive meaningful change and accelerate the transition toward a low-carbon EOVC sector.

Establishing a transparent and trusted carbon-free environment requires an understanding of the entire Scope 3 upstream supplier footprint. Understanding the Scope 2 emissions of each supplier is also essential. Acquiring this level of transparency requires tools and data platforms that offer access to trusted information provided by suppliers and suppliers’ suppliers, as well as tools that monitor OEM compliance with regulatory obligations.

The future of decarbonization of the entire manufacturing supply chain is, of course, inevitably enabled by ubiquitous data. Sustainable zero-carbon efforts span not only the visible chain of tier suppliers but also primary and secondary raw material processing plants and green energy providers.

Automotive, machinery, and heavy machinery OEMs may share suppliers; hence, an OEM can benefit from the sustainability-related transparency of the supplier network established by another OEM.

Utilizing a secure, scalable, and transparent digital data collection platform is an absolute must to successfully achieve the net-zero supply chain transition. I was pleasantly surprised to find that 70% of global manufacturing respondents to IDC’s 2022 Industry Intelligence Survey were already using cloud infrastructure to support sustainability metrics.

My Recommendation: Go beyond the obvious. In addition to Scope 3, focus on Scope 1 and Scope 2 of each entity in your supply chain. Turn suppliers into ecosystem stakeholders. Provide them with knowledge, help develop their workforce, and offer digital technology support!

Find out more about our Manufacturing Insights coverage, visit our website.

Generative AI (GenAI) attracted significant interest in 2023 and has already begun to impact horizontal and industry applications and use cases. According to our predictions for 2024, it’s anticipated that in 2026, half of G2000 companies will have integrated operational systems with GenAI to better ingest data, identify issues, and provide real-time context to operators, improving efficiency by 5%.

GenAI’s influence on the manufacturing sector is poised to be pivotal. It has already triggered a transition in which AI is omnipresent, no longer an emerging software segment amidst the technological stack.

Numerous firms, including industrial organizations, are assessing how AI can bring value to their operations. They may not have been early adopters of GenAI, but industrial organizations are well-placed to utilize the technology to generate diverse content and conduct extensive research. Algorithms can be trained using existing large data sets to produce text, video, images, even virtual environments.

Download eBook: Generative AI in EMEA: Opportunities, Risks, and Futures

Guidelines to Develop GenAI-powered Use Cases

To help organizations learn from company experiences, successes, and challenges in developing GenAI-powered use cases, I have established some guidelines:

1. Do Not Underestimate Implementation

GenAI holds a lot of promise, but implementation carries risks that adopters have to watch very carefully. Appropriately trained and utilized, it proves reliable and can be implemented at a reasonable cost. From my perspective, organizations should view GenAI-powered solutions as an integral part of a digitally enabled strategy, particularly in fields like asset maintenance.

It’s essential to meticulously plan each phase of the solution’s implementation journey. The desired goals should be outlined, and key performance indicators should be identified. Regarding ROI, the total cost of ownership should be accounted for, including OPEX.

During the planning stages, organizations should project how the solution will scale and integrate with existing IT systems (especially in terms of technology standards). Organizations should also not undervalue the importance of the post-implementation period. Establishing review cycles with technology partners is crucial to ensure that user feedback is appropriately addressed. Finally, organizations should engage in discussions with experts who can provide insights into other areas that could benefit from GenAI solutions.

2. Expand on Technology Partnerships

I recommend that organizations forge partnerships with technology providers and establish trusted relationships that foster the sharing of goals, capabilities, and values. A collaborative approach enables organizations to expedite and expand innovation. Due to the potentially lengthy journey from proof of concept to implementing company-wide solutions, organizations should ensure that their partners are capable of delivering scalable solutions and offering guidance throughout the implementation process.

When constructing a private and secure GenAI environment, organizations should consider technology partners capable of transferring internal data into large language models (LLMs) securely and without loss. Such partners can also facilitate knowledge transfers to internal staff for ongoing management and proficiency.

3. Keep Security in Mind

Organizations should be on guard against potential data leaks and biases, while also retaining control over the IT processes operating in the background. It is vital to establish a governance mechanism to tackle concerns related to privacy, manipulation, biases, security, transparency, disparities, and potential workforce displacement.

I suggest actively participating in specialized drills aimed at mitigating the risk of sophisticated phishing attacks. Organizations can also enhance data security by updating their data infrastructures to meet the expanding data requirements of GenAI models.

4. Be Creative in Finding New Use Cases

Organizations should prioritize using AI to deliver value and enhance business outcomes; AI should not be pursued for its own sake. The decision-making process regarding ROI involves various parameters. Early adopters have suggested focusing on one of the most critical aspects: the strategic fit of the investment. A fundamental approach is to give priority to initiatives that offer the most beneficial outcomes but require the least effort. Based on the experiences of GenAI adopters, I support adopting an agile methodology and the minimum viable product (MVP) strategy, which should prevent investment in non-value-added projects.

In a recent interview with an end user, it was revealed that 100+ potential use cases were identified during GenAI ideation workshops. Of these, two have already been launched as MVPs, and 14 are in active development.

Watch the Webcast: Generative AI in EMEA: Opportunities, Risks, and Futures

Conclusion

GenAI solutions are transforming manufacturing operations, improving efficiency, facilitating data-driven decision-making, and simplifying complex processes for frontline workers. By implementing these innovative practices, organizations can adapt to the changing manufacturing landscape and significantly enhance operations.

Our research indicates that the adoption of GenAI by manufacturing organizations is still in the early stages. However, there has been a notable increase in GenAI awareness: IDC’s July 2023 Future Enterprise Resiliency and Spending Survey revealed that just 19% of manufacturing organizations were unaware of GenAI, compared to 35% in March 2023. This trend suggests that GenAI is steadily being integrated into the technology frameworks of organizations, putting them on an innovation trajectory.

To explore more of our coverage on Gen AI, visit our dedicated page.

Virtual care is at a critical juncture in its development. The rapid rise of virtual care during the pandemic sparked discussions about its ongoing significance. While numerous studies have highlighted its advantages, the future of virtual care is now under scrutiny.

As the novelty effect fades, both healthcare professionals and patients are redefining their expectations and preferences, leading to valid questions about the path ahead for virtual care.

What is Virtual Care?

Definition in this space abounds, but from a general perspective, virtual care encompasses all the remote interactions between healthcare organizations and patients, enabled by digital tools to deliver health services, promote engagement and enhance health and well-being. It includes services and organizations focused on patient education and advice but also services that entail diagnosis, monitoring and treatment.

There is a broad spectrum of technologies enabling virtual care, covering connectivity, collaboration, clinical information systems, consumer technologies, MedTech, etc. These components enable communication, data exchange and analysis, transforming how healthcare is delivered and experienced.

 Main Benefits and Limitations of Virtual Care

The adoption of virtual care in European healthcare systems has triggered profound shifts and delivered benefits across multiple dimensions It has brought about notable improvements at the system level, as well as advancements within healthcare organizations. Virtual care has had a positive impact on patient outcomes and experiences, underscoring its significance in shaping the future of healthcare.

According to IDC’s December 2022 Consumer Pulse Survey, healthcare consumers reported comparable satisfaction levels with virtual visits as they did with traditional in-person appointments. When focusing on some macro-level benefits, virtual care has shown its pivotal role in healthcare by relieving ER pressure, freeing beds for patients with more critical needs, and improving operational efficiency.

For example, the English NHS recently surpassed its goal’s target of 10,000 virtual ward beds by September 2023. These beds cater to patients with conditions like COPD, heart failure, and frailty. Over 240,000 patients have been treated through virtual wards, with research suggesting comparable or faster recovery compared to traditional hospital care.

However, it is crucial for healthcare providers to acknowledge that virtual care is not without limitations and challenges, which must be carefully addressed. Without these considerations, healthcare organizations will struggle to realize the anticipated benefits, and, in some cases, they could even compromise care quality.

• Transforming Essential Care – If We Connect the Dots: Virtual care offers convenience by allowing patients to access non-urgent medical services from home. It can alleviate strain on emergency rooms, address primary care shortages, and extend services to underserved areas. However, integration into patient records is essential for continuity of care. Technical obstacles, especially in underserved regions, require further investments in infrastructures, health information data integration and management.
• Empowering Chronic Disease Management – If We Use the Right Tools: Virtual care positively impacts chronic disease management, but it requires appropriate engagement tools. Choosing ergonomic device design, automated real-time data collection, performance criteria (speed, accuracy, response times), and diverse functionalities (like medication reminders, predictive alerts) significantly impact the outcomes for virtual care. Striking a balance between virtual care benefits and the need for in-person assessments is vital. Understanding which aspects of disease management can be handled remotely, and which require in-person attention due to physical exams and specialized tests, is essential for comprehensive care.
• Tackling Health Inequalities – If We Mind the Digital Gap: Virtual care aims to bridge healthcare access gaps, but the digital divide and limited digital literacy pose barriers. Health inequalities persist, with evidence of disparities in digital technology utilization. IDC research shows that the primary user demographic of virtual visits are young, urban, higher-income individuals, typically facing fewer access barriers. To tackle these disparities, virtual care solutions need to be intentionally designed to address specific barriers faced by different patient groups.

How to Future-Proof Virtual Care

Virtual care holds the potential to improve healthcare accessibility and delivery by providing care to individuals regardless of their location or the time of day. To fully harness this potential, it is crucial to thoughtfully address the challenges and shortcomings it currently faces and implement long-term strategies that facilitate transformative changes.

• Assess Population Needs: Understand diverse patient requirements, including digital literacy and social determinants of health (SDoH). Embrace “hybrid care” models that offer both virtual and in-person options, catering to individual needs.
• Choose Appropriate Technology: Select medical-grade remote patient monitoring devices and platforms that integrate seamlessly with healthcare professionals’ workflows. Ensure active patient engagement.
• Establish a Virtual Care Ecosystem: Foster collaborations among healthcare authorities, provider organizations, and life science companies. Implement suitable reimbursement schemes to incentivize healthcare providers for round-the-clock virtual care availability.

At IDC we have just published a report “ IDC Innovators: Remote Patient Engagement and Virtual Care Solutions, 2023”  exploring how emerging technology vendors are supporting the evolution of  virtual care working with healthcare organizations and the broader health ecosystem.

Virtual care should not be seen just as a legacy of the pandemic-era; instead, it stands as a transformative force shaping the future of healthcare. By aligning with population needs, leveraging technology sensibly, and fostering collaboration in the healthcare ecosystem, virtual care can advance even further. Its role in delivering high-quality, accessible, and convenient healthcare services tailored to individuals worldwide will remain pivotal.

As we transitioned into a post-pandemic era, it’s crucial to fine-tune virtual care programs to fit population-specific needs and integrate them seamlessly into the broader healthcare ecosystem, solidifying their significance.

If you’re curious and want to dive deeper into this subject, consider reaching out to our IDC Health Insights team. Also be sure to check the latest research on virtual care from Nino Giguashvili, Federico Mayr and Silvia Piai