The Future of Access to Care
Accessing care can vary dramatically depending on many factors, including your provider type and where you are located. It is also related to social factors that affect health — bringing equity concerns to the forefront for many companies. Technological advancements are designed to yield higher levels of access to benefits and treatment across all employee demographics. For example Aon’s Health Equity and Affordability Tool (HEAT) uses data, analytics and machine learning on healthcare expenditure and affordability predictors to help optimize healthcare spend and identify strategies to address access and affordability.
How employees schedule appointments is also changing. Being able to book time with your provider through text messages or an instant messaging platform rather than phone or over the computer is beneficial. Asynchronous messaging is available in limited cases but scheduling on-demand appointments is expected to grow in popularity. This is likely due to both the convenience and familiarity associated with this type of technology among the public.
In the future, technology can also give people access to “click and-mortar” companies that combine digital and in-person care. This will come after virtual and traditional healthcare companies seize opportunities to join forces via technology-enabled acquisition strategies. Indeed, the pandemic showed that many areas of telehealth that were previously thought to be ineffective, result in poorer patient outcomes, or possibly not even feasible were actually effective in a virtual environment.
The Future of Diagnostics and Treatment Care
Imagine technology-enabled medical screening powered by machine learning that checks people for health risks, assesses underlying determinants of your health and informs patients how they can navigate healthcare barriers (e.g., matching providers with insurance coverage, solving language barriers, meeting transportation challenges). As artificial intelligence and machine learning advance, this technology will be able to discern patterns of care in patients and help guide them to optimal outcomes.
Detailed data are currently being gathered from wearable devices and sensors, which can tell people about their health in more immediate and personalized ways than before. As the use of smart devices in healthcare continues to grow, we foresee easier access to care, better care management and improved outcomes. For example, AI is already being used to treat diabetes by analyzing data from continuous glucose monitors and insulin pumps to predict future insulin needs based upon glucose levels. Additionally, the speed of digitalization is shaping diagnostics and treatment. AI is starting to be used to assess health symptoms, delivering high-definition diagnostics and quicker response times. AI is also being used to better match people to clinical trials.
With the spread of telehealth, other areas of patient care and treatment will also become more accessible in people’s own homes, including lab and radiology testing that is currently required in-person and other hospital outpatient services.
Medical treatment and devices are readily advancing. Case in point: the 3D printing of human organs for transplants is in the planning stages. When this technology becomes more cost-effective and reliable, organ transplants will become more widespread and accessible. By using the patient's own cells to grow organs, 3D printing could eliminate waiting lists, reduce the odds of organ rejection and make harmful life-long immunosuppressive medication unnecessary. Whether five years is long enough for this to become commonplace remains to be seen.
The Future of Healthcare and Benefit Costs
As costs rise, getting a better return on investment on employee benefits has become a major priority for companies worldwide. Understanding the cost drivers but, perhaps more importantly, being able to predict future cost drivers, is paramount to delivering an affordable benefit program. This is where technology can step in.
- By implementing a highly customizable technology platform, companies can streamline enrollment and administrative processes.
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Employee health data enables companies to understand what benefits employees want and value.
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Backed by technology and employee data, early intervention can shrink the long-term costs linked to chronic illness and help organizations identify and manage high-cost members earlier in the process and budget for accordingly. Using machine learning, Aon's Health Risk Analyzer is an example of a tool that can identify high-cost members.
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With a better gauge on employee engagement, companies can use these data to reveal how benefit use aligns with initiatives such as promoting wellbeing and resilience.
Organizations must consider the entirety of their people investment and then use analytics to drive decisions. Historically, claims were examined resulting in a single benefit the following year. But the shift is finally happening. Now organizations are being driven to rely more on analytics to make decisions to ensure their entire benefit investment is connected.
The next five years are going to be more focused on expanding the types of health and lifestyle-related benefits, and on maximizing health, productivity and quality of life. More emphasis will be placed on enhancing the experiences employees have as they navigate the healthcare system. Better benefit integration can help make this possible; and by auditing the progress of employee benefits in real time, companies can make meaningful ongoing adjustments to their benefit programs, instead of waiting until the next benefit selection cycle to check on results.
As employers call on insurance carriers and healthcare providers to help them deliver enhanced benefits to employees, data and analytics can be important tools for employers to use when designing health and benefits programs. Data analytics will also be a necessity to strengthen the argument for innovative benefit design changes for all providers in the healthcare space.
To support their overall HR strategy, companies can use a global structure relying on technological innovations to streamline benefit design and enrollment, and then overlay local/regional nuance.
Amid rapid change, technology is a force that is not only upgrading healthcare, but also enabling employers to better design their benefits, improve the enrollment experience, facilitate access to care, and upgrade diagnostics and treatment care. We know that the connection between better health and benefit programs and business performance is strong. According to Aon’s 2022-2023 Global Wellbeing Survey, improving employee wellbeing can enhance company performance by at least 11 percent and up to 55 percent (depending on the areas of wellbeing that are being improved). Companies can leverage technology to increase employee satisfaction via better healthcare and wellness benefits, and as a result, gain a substantial competitive advantage.
The Future of Workforce Technology
For decades, employee benefit technology has largely only been applied to benefit enrollment and communications. As a result, the employee experience has become a box-ticking exercise. AI has the power to enrich this experience through scalable automation. It will transform employees’ expectations while allowing organizations to mass-customize specific help and guidance on complex benefit issues. AI largely removes the need for expensive administration help desks and creates an immersive experience for employees. Chatbots will be replaced by a fully interactive AI assistant that will interact like a human. This technology could potentially offer a human touch at difficult times of emotional distress or significant personal upheaval that will be able to guide, support and direct like a real person.
Deeper insights on employee behavior will support workforce technology. Methodologies used to analyze consumers will be applied to the workforce. Knowing what people really want will shape how employers design a benefit package, what they should offer and how they should offer it. Technology will be able to collect data more accurately than surveys, offering benefit experiences that are relevant and meaningful to the workforce. For instance, Aon’s employee sentiment analysis captures nine areas of employee sentiment with scores based on external and internal employee reviews. Insights from this analysis can be helpful for clients to quickly identify trends, address concerns, reinforce valued benefits and implement targeted strategies.
The most important future trend will be the creation of true, insightful performance analytics for HR teams. Measuring online benefits is typically limited to basic enrollment data and costs, yielding simple metrics that are limited in insight value. An analytical engine, however, can generate insights into workforce behaviors. This has the potential to transform how HR departments evaluate benefits. By moving away from what users are doing to why they are doing it, companies will be able to mobilize predictive analysis that will shape benefits while mitigating benefit risks.
How Aon Can Help
Aon is harnessing the power of applying data analytics to employer-based health and wellbeing benefits. Our benefits technology platforms and tools enable informed decision making through benchmarking, improving the visibility of benefits expenditure and helping to predict and manage future costs.
Our human capital analytics deliver valuable data insights across health, benefits, talent, rewards, pensions and retirement, giving organizations the insights they need to protect and grow their business by identifying areas of risk and opportunities for transformation.