Exploring long-term care needs and costs, Waterlily's AI tool forecasts aged care requirements and funding options, guiding better preparation for future expenses.
In retirement planning, a major financial hurdle many overlook is long-term care (LTC). For those preparing for retirement, it's crucial to understand the potential costs and how to finance long-term care should the need arise. Often, people focus on building their retirement savings without considering the financial ramifications that come with potential health-related challenges in their later years.
After recognizing this gap in personal planning, I sought out a technology-driven solution to better predict my long-term care requirements. I tested a platform called Waterlily, which leverages artificial intelligence (AI) to assess anticipated long-term care needs, estimating costs and recommending optimal insurance policies tailored to individual profiles.
Utilizing Waterlily: Predicting Long-Term Care Needs
The process with Waterlily was quick and efficient. Within minutes, I completed a brief intake form that gathered details about my health conditions, prescriptions, family medical history, and other pertinent information. Shortly after submitting my data, I received an email report outlining my projected long-term care requirements.
Unsurprisingly, the analysis indicated a significant likelihood of needing long-term care — 70%, to be exact. This figure surpasses the average 65-year-old's chance of 56% but aligns with broader statistics indicating that about 70% of Americans will require some form of long-term care at some point in their lives. Furthermore, according to the tool, I can expect to begin needing this care at age 86 and anticipate a total duration of around 4.2 years, starting with in-home assistance before moving to assisted living and, ultimately, a nursing home.
Estimating Long-Term Care Costs
The reality check extended beyond the need for care to the staggering costs associated with it. Waterlily's analysis revealed that anticipated long-term care expenses for me could reach up to $1.48 million in inflation-adjusted figures, with a significant portion attributed to a projected 18-month stay in a full-care facility after age 89.
This financial burden is not unique; surveys show that a significant number of older adults lack confidence in their ability to cover nursing home (62%), assisted living (58%), or home care (51%) expenses. As noted by University of Michigan's Institute for Healthcare Policy & Innovation, many mistakenly believe that Medicare will cover long-term care, which is typically not the case, as Medicare's provisions are short-term and limited.
CEO of Waterlily, Lily Vittayarukskul, claims personal experiences inspired her to create the platform, highlighting her family's financial struggles related to long-term care. Such challenges underline the importance of proactive planning and awareness of potential expenses ahead of time.
Strategizing for Funding Long-Term Care
Waterlily's capabilities extend to helping individuals form a plan on how to manage the high costs associated with long-term care. Through its platform, users can explore various funding strategies, including self-funding or utilizing insurance policies and income sources such as annuities.
In my hypothetical model, I considered a hybrid approach involving both personal investments and an LTC insurance policy to address as much of my projected expenses as possible. When I examined self-funding options and earmarked $200,000 of retirement assets, Waterlily quantified that this would only cover about 52% of my anticipated long-term care costs.
Maximizing Return on Investment for Long-Term Care Insurance
To enhance my financial strategy, I sought to find an LTC insurance policy that would fully close the funding gap exposed by my self-funding analysis. Waterlily's unique feature, “Quote-and-Apply,” leverages AI to rapidly analyze numerous policy configurations, tailoring recommendations based on my specific health and financial circumstances.
After inputting intentions to invest in a $100,000 LTC policy, Waterlily returned compelling results, revealing a policy with a 494% return on investment (ROI) and total coverage amounting to $574,000. By combining self-funding with this insurance, the analysis showed that I could potentially cover 91% of my long-term care expenses.
The efficiency of Waterlily is unmatched; its utilization of half a billion data points enables extremely rapid analyses that would be practically impossible for an individual to achieve manually.
Considering Joint LTC Policies & Data Privacy
For couples, the platform also examines the benefits of joint LTC policies, potentially reducing costs. Using Waterlily, I input my wife's existing LTC insurance alongside my considerations, resulting in a calculated ability to cover about 68% of her inflation-adjusted LTC costs.
Privacy regarding personal health and financial information is a crucial aspect of using such AI-powered platforms. Waterlily maintains a clear privacy policy, allowing users to request data deletion, ensuring that your sensitive information is managed responsibly.
Final Thoughts
Surprisingly, only 11% of adults have procured long-term care insurance, according to the University of Michigan study, a statistic that highlights the need for education on this subject. Waterlily's analysis is currently free for consumers, while financial advisers can access the service for a fee. This presents an excellent opportunity for individuals planning for their golden years to better understand and prepare for long-term care expenses.
