Article | July 21, 2022
Technology in the 21st century is the fuel that drives innovation and ease in almost every industry today. The healthcare sector isn’t far behind. In fact, the medical industry has taken the concept of the Internet of Things and took it to a new level altogether to reimagine the use of medical technology.
Imagine multiple devices like phones, cameras, GPS sensors, and computers interacting with each other through a seamless transfer of data. Now consider wearable medical devices. The exchange of critical medical information through a web of real-time data networks activates near instantaneous responses from doctors, nurses, and medical services. The aim is to anticipate the need for medical attention long before it is needed and remedy the concerns before they reach a critical stage.
That is exactly how the future of the Internet of Medical Things (IoMT) is shaping out to be.
How IoMT is Redefining Everyday Health?
IoMT is a next-generation solution that embeds cutting-edge monitoring and analysis of individual healthcare journeys through medical devices. The smart watch is the most recognizable wearable medical device that is used by millions of people daily to keep tabs on their vitals.
For instance, the Apple Watch series 6 maps blood oxygen levels, sleep patterns, ECG levels, and also reminds the user to wash their hands after returning home.
The market for healthcare IoT products is vast and is constantly expanding. The Tango Belt is a leading example of smart wearable technology that is revolutionizing elderly and disability care. The belt is designed to sense falls and deploy airbags to soften the impact. In addition, it alerts caregivers in the event of a fall. The belt also uses data analytics by collecting mobility data that is then synced to a smartphone app for displaying metrics.
Technologies that Empower IoMT
With the diverse tasks that medical devices must perform, applications exist across a wide spectrum, from artificial intelligence to 5G networks to the cloud.
Consider a pacemaker, for instance. Modern pacemakers are embedded with a multitude of technologies that communicate with each other to send critical patient data to physicians. A pacemaker is a bioelectronic implant that is placed in the chest to control the heartbeat. But a smart pacemaker goes a step further. It is equipped with wireless bluetooth technology that communicates with the patient’s wearable medical device. The smart device or phone will then transfer this data to physicians for check-ups and even alert doctors in the case of anomalies.
To Round It Off
IoMT will subsequently power all medical devices and usher in a future where technology forms the backbone of healthcare service delivery. Although wearable medical technology has been around for decades, the development of a streamlined communication channel between them has redefined their use. Smart medical devices are no longer just an aid but a source of vital individual medical data as well as a way to anticipate care and medical attention.
Article | July 13, 2022
Healthcare leaders are embracing the benefits of the cloud and software as a service (SaaS) after the pandemic challenged them to adapt and innovate like never before. 66% of them expect to move their technology infrastructures to the cloud this year – a number that is set to rise to 96% by 2024 . Yet moving to the cloud is more than just a technology transformation. It’s an organizational transformation. Through cloud-based platforms and solutions, healthcare systems can begin to unlock clinical and operational insights at scale while speeding up innovation cycles for continuous value delivery.
Integrating data across the care continuum
In many ways, COVID-19 catapulted healthcare into the future. The pandemic created a new urgency for healthcare leaders to expand their virtual care offerings as a way of connecting with patients beyond the walls of the hospital. At the same time, they wanted the flexibility to scale up or down without large upfront capital expenditures. Effective crisis management also required the rapid exchange of patient information across systems and care settings. Thanks to the flexibility of pay-as-you-go cloud-based services and solutions, healthcare providers were able to quickly scale up digital health technologies to meet new demands. As a result, the acceptance of cloud has increased remarkably .
Keeping patient data secure and compliant
As healthcare leaders embark on this journey to the cloud, data protection is a critical consideration. Data processing in healthcare must comply with rigorous standards, whether it is HIPAA in the US or GDPR in the EU. Unfortunately, healthcare organizations also remain a top target for data breaches, calling for additional data security protection measures .
While the need for data security and regulatory compliance has historically motivated healthcare organizations to keep data on premises, today there is a growing awareness that moving to the cloud can in fact be the better road to travel. In fact, 60% of healthcare leaders now cite security as one of the top benefits of the cloud . When healthcare organizations rely on their own data centers, they are responsible for security from end to end, which can become prohibitively complex and time-consuming as IT infrastructures expand over time. Cloud-based services and solutions can reduce dependency on local hardware to store sensitive data while automated software updates keep systems current.
Turning data into insights at scale at the point of care
Working from these foundations, the next big opportunity in healthcare is to capture the insights in the data that we are beginning to connect and integrate. This is where the cloud is also turning into a vital enabler, with its powerful computing resources and advanced machine learning capabilities, offered as microservices. These microservices provide the building blocks to develop new digital solutions that, once validated and approved, can be deployed at scale to help improve clinical outcomes and operational efficiency.
Enabling rapid experimentation and continuous value delivery
Embracing the cloud also changes the very nature of innovation in healthcare.
Healthcare-compliant cloud platforms offer a flexible foundation for rapid development and testing of digital applications. Cross-functional teams working in short and agile cycles can put new digital applications into the hands of physicians or patients more quickly, and then add new or improved features and functionalities as they gather additional user feedback. That means healthcare organizations get to innovate faster. And in smaller, more digestible increments.
Moving to the cloud is not all or nothing
Of course, none of this is to suggest that moving to the cloud is like switching a button. It’s a complex and multi-year journey for most of our customers. And it’s quite a journey for Philips, too. Any organization that has accumulated a large number of legacy systems and infrastructures over the years will have to manage a hybrid architecture during their journey to the cloud .
Article | July 6, 2022
As the cost of care continues to rise, many hospitals are looking for long-term solutions to minimize inpatient services. Learn how technology and health care delivery will merge to influence the future of hospital design and the patient experience across the globe in this report developed by Deloitte US.
Five use cases for the digital hospital of the future
The future of health care delivery may look quite different than the hospital of today. Rapidly evolving technologies, along with demographic and economic changes, are expected to alter hospitals worldwide. A growing number of inpatient health care services are already being pushed to home and outpatient ambulatory facilities. However, many complex andv very ill patients will continue to need acute inpatient services.
With aging infrastructure in some countries and increased demand for more beds in others, hospital executives and governments should consider rethinking how to optimize inpatient and outpatient settings and integrate digital technologies into traditional hospital services to truly create a health system without walls.
To learn what this future of health care delivery may look like, the Deloitte Center for Health Solutions conducted a crowdsourcing simulation with 33 experts from across the globe. Participants included health care CXOs, physician and nurse leaders, public policy leaders, technologists, and futurists. Their charge was to come up with specific use cases for the design of digital hospitals globally in 10 years (a period that can offer hospital leaders and boards time to prepare).
The crowdsourcing simulation developed use cases in five categories
Redefined care delivery
Emerging features including centralized digital centers to enable decision making (think: air traffic control for hospitals), continuous clinical monitoring, targeted treatments (such as 3D printing for surgeries), and the use of smaller, portable devices will help characterize acute-care hospitals.
Digital patient experience
Digital and artificial intelligence (AI) technologies can help enable on-demand interaction and seamless processes to improve patient experience.
Enhanced talent development
Robotic process automation (RPA) and AI can allow caregivers to spend more time providing care and less time documenting it.
Operational efficiencies through technology
Digital supply chains, automation, robotics, and next-generation interoperability can drive operations management and back-office efficiencies.
Healing and well-being designs
The well-being of patients and staff members—with an emphasis on the importance of environment and experience in healing—will likely be important in future hospital designs.
Many of these use-case concepts are already in play. And hospital executives should be planning how to integrate technology into newly-built facilities and retrofit it into older ones.
Technology will likely underlie most aspects of future hospital care. But care delivery—especially for complex patients and procedures—may still require hands-on human expertise.
Laying the foundation for the digital hospital of the future
Building a digital hospital of the future can require investments in people, technology, processes, and premises. Most of these investments will likely be upfront. In the short term, hospital leadership may not see immediate returns on these investments. In the longer term, however—as digital technologies improve care delivery, create operational efficiencies, and enhance patient and staff experience—the return result can be in higher quality care, improved operational efficiencies, and increased patient satisfaction.
These six core elements of an enterprise digital strategy can help you get started as you begin to push your hospital into the future
Create a culture for digital transformation
It is essential that senior management understands the importance of a digital future and drives support for its implementation at all organizational levels.
Consider technology that communicates
Digital implementation is complex. Connecting disparate applications, devices, and technologies—all highly interdependent—and making certain they talk to each other can be critical to a successful digital implementation.
Play the long game
Since digital technologies are ever evolving, flexibility and scalability during implementation can be critical. The planning team should confirm that project scope includes adding, modifying, or replacing technology at lower costs.
Focus on data
While the requirements of data interoperability, scalability, productivity, and flexibility are important, they should be built upon a solid foundation of capturing, storing, securing, and analyzing data.
Prepare for Talent 2.0
As hospitals invest in exponential technologies, they should provide employees ample opportunities to develop corresponding digital strategies.
With the proliferation of digital technologies, cyber breaches can be a major threat to hospitals of the future. Executives should understand that cybersecurity is the other half of digital implementation and allocate resources appropriately.
Article | May 30, 2022
It’s no secret now that healthcare is an in-demand field. Today, business leaders need modern and intelligent decision-making solutions for their customers and clients. They must also focus on the right investment areas and learn the tricks for investing, spending, and setting goals for revenue generation to accelerate business.
With continuous developments in the healthcare sector, integrating AI into processes can help increase ROI. Therefore, if you, like any other business leader, are looking for solutions to empower your services and products in the healthcare domain, this article will help you through AI’s ultimate use cases and churn out a higher ROI.
What’s with AI in Healthcare at Present?
AI’s role in healthcare is evolving and enhancing traditional business operations, particularly marketing. According to a study by IBM, 71% of customers expect real-time communication. Thus, global demand is fueling the rising adoption of AI marketing solutions.
The effects of AI in healthcare are evident. Gartner reports increased marketing efficiency and effectiveness (86%), improved decision-making (71%), better data analysis and new insights (79%). Global AI spending will rise from $450 million in 2019 to over $28 billion by 2024 is not surprising.
Similar and further studies are ongoing on various use cases of AI in healthcare at scale. What are the efficient use cases of AI that will help healthcare businesses boost their ROI? Let’s find out.
How is AI Applied in Healthcare?
The promising applications of AI in healthcare to improve outcomes are very intriguing. While there is still much to achieve in the AI-dependent healthcare business, there is sufficient potential that tech companies are willing to invest in AI-powered tools and solutions.
Let’s examine the potential examples of AI in healthcare to prepare and support business strategies accordingly and foster higher ROI generation.
AI-based predictive analytics impacts a business by automating administrative tasks, predicting sales outcomes for a year, customers’ behavior and making strategies accordingly. According to a Forbes study, AI-based predictive analytics can save businesses $18 billion in tasks, expenses, and pricing.
To understand this, one example of using AI to automate admin tasks is a collaboration between the Cleveland Clinic and IBM. Cleveland Clinic uses IBM’s Watson to mine big data and provides personalized services for customers and clients on marketing deeds.
Some of the practical applications of AI and predictive analytics in healthcare are:
Monitoring market trends to maximize marketing efforts
Creating marketing campaigns tailored to each demographic-based client
Mining collective data for future decision-making
AmerisourceBergen Corp detects fraud and misleading business operations through AI. A sales account team conducts audits with AI to detect usual lea and queries to prevent hefty expenses for businesses.
The example explains that implementing AI in your process will help detect any significant fraud attempts inside your business operation. This will help your business save huge expenditures.
By putting down false leads, AI helps in maximizing sales numbers, resulting in significant ROI generation. For example, AI transforms data into personalized data, which reduces the cost of operations.
Most healthcare businesses leverage chatbots on their websites to engage more and more customers and boost engagement. In this way, businesses tend to gain multiple leads and convert them into clients by providing the best marketing solutions.
Chatbots are fruitful for AI start-ups in healthcare—small businesses can deploy AI to their websites. By doing so, they can save millions in administrative costs and attract numerous leads.
The most prominent examples of AI in healthcare hail from giant tech titans such as IBM, Amazon, and Microsoft. They are assisting healthcare providers with AI to create and deploy digital-human employees.
Segmentation of Marketing Targets
Is your target audience not responding to your marketing campaigns (for example, by not clicking a link, subscribing or unsubscribing to a newsletter, or not registering for a medical event)? If that's the case, how should you go ahead?
Using AI-based tools allows your marketing to easily identify target behaviors and reactions based on the type of marketing actions to be carried out. Analyzing these actions can help segment targets based on your company's marketing objectives.
The most significant development took place in April 2022, when Amazon Alexa became fully HIPAA compliant. It works with health developers and service providers that manage protected information for customers.
AI Leads to Data Modernization
It’s all about the data—not any data!
There’s a precise association between AI and data management, resulting in data modernization. According to a Cognizant research study, healthcare leaders have made significant progress in modernizing their data. In contrast, most upcoming businesses are expecting to do so by 2024.
The maximum acceleration of AI in modernizing data will be seen in the manufacturing and marketing of healthcare products and services, respectively. It is because AI helps to churn data easily. The accessibility of data, in particular, becomes simpler with automation than doing it manually, which generates a massive amount of data. Such effects of AI in healthcare can be one of the prime reasons for the higher ROI of your business in the future.
“There has never been a greater need for skilled analytic talent in health care. Because AI is becoming more strategic, organizations must ensure access to this skill set, either by growing their analytic teams or seeking out experienced partners."
Steve Griffiths, CEO of Optum Enterprise Analytics
AI Expenditure is on the Rise
McKinsey says that by 2025, the use of AI in healthcare will be widespread, resulting in significant expenditure by global healthcare leaders.
AI is a significant concern for healthcare decision-makers, investors, and innovators as customers extensively engage and react to AI-powered services and solutions. AI is constantly bringing improvements to almost all processes, including cost savings, management of services and products, and monitoring of multiple operations. Even small businesses in the healthcare industry are proactively investing in AI applications to match steps with the current wave of innovation in healthcare services.
Accelerate ROI Using AI
AI in healthcare is becoming one of the prime responsible technologies for accelerating ROI. Technology can eradicate multiple business growth challenges. Let’s find out how.
As previously stated, use cases of AI in healthcare can relieve stress on employees. This would allow them to devote their time to more value-added marketing activities to churn more ROI.
Most of the businesses associated with healthcare are concerned about the costs involved. With AI, they now develop policies to spend less on non-essential activities and necessitate profit-oriented actions.
"We believe in the potential of AI to deliver insights and operational efficiencies that unlock better health-care performance."
Robert Musslewhite, CEO at OptumInsight
Frequently Asked Questions
How is AI used in healthcare?
AI in healthcare automates and predicts processes by analyzing data throughout. It is used to predict potential customers, improve business management workflows, and manufacture medical products.
How does AI drive growth in the healthcare industry?
AI drives business growth by improving the ability to understand better day-to-day customer patterns and needs based on services and products.
How is AI changing the Healthcare industry?
AI applications in healthcare have demonstrated their potential to improve analytics and data management and assist service providers in making timely medical decisions.