How Automation Health Data Cuts Not-Taken-Out (NTO) Rates

Every actuarial pricing model assumes a baseline cost of acquisition, a figure highly sensitive to the rate at which approved policies are actually put into force. For chief underwriting officers, the single largest variable controlling this placement rate is friction. Traditional life insurance underwriting introduces structural delays, scheduling paramedical exams, waiting for fluid processing, and requesting attending physician statements. Each additional day between application and decision compounds the risk of applicant drop-off, commonly measured as the Not-Taken-Out (NTO) rate. By integrating underwriting automation health data into the core decision engine, carriers can compress this cycle from weeks to minutes. Eliminating physical bottlenecks does not merely reduce the administrative cost per application; it directly increases the percentage of approved risks that result in premium-paying policies, transforming the fundamental unit economics of life insurance.

"A 2025 Gen Re survey found that 86% of approved applications via automated workflows were placed, compared to 78% for accelerated workflows and 63% for fully underwritten workflows." , Frank Chechel, Head of Individual Life Underwriting, Gen Re (2025)

How underwriting automation health data fixes the NTO problem

The life insurance industry operates on a documented inverse relationship between underwriting cycle time and policy placement. When an applicant initiates the buying process, their intent to purchase is at its peak. The traditional requirement for physical fluid draws, blood and urine, forces an immediate cooling-off period. Applicants must schedule a paramedical visit, fast before the appointment, and then wait weeks for laboratory results and underwriter review.

During this waiting period, the risk of an NTO outcome rises exponentially. Buyer's remorse sets in, financial priorities shift, or applicants simply lose interest in completing the transaction. Furthermore, unfavorable findings in delayed medical exams often result in premium rating adjustments that the applicant is unwilling to accept. Brokers and agents also suffer during this lag, as extended processing times require them to continuously follow up with the applicant to maintain engagement, diverting their time from generating new business.

By utilizing underwriting automation health data, insurers restructure the psychological momentum of the sale. Rather than pausing the transaction to gather physical evidence of risk, digital pipelines allow carriers to collect, verify, and analyze physiological indicators instantly. Moving from a manual cycle to a near-instant digital decision removes the primary vector for applicant drop-off. For a carrier processing high volumes of middle-market term policies, shifting the placement rate from a traditional baseline up to 86% fundamentally alters the product's profitability profile. It proves that technological investment in algorithmic infrastructure pays for itself through increased top-line revenue without compromising mortality standards.

Metric	Traditional Underwriting	Automated Health Data Workflow	Impact on NTO Rates
Cycle Time	20-30 days	Minutes to 5 days	Eliminates time-based drop-off
Data Collection	Paramedical exam, fluid draws	Digital health records, biometric sensors	Removes scheduling friction
Placement Rate	~63%	~86%	+23% absolute placement improvement
Applicant Experience	Invasive, inconvenient, opaque	Frictionless, immediate, transparent	Prevents buyer's remorse

Structural bottlenecks driving NTO rates

Traditional underwriting is burdened by logistical failure points that naturally encourage applicants to abandon the process. Each step adds distinct delays to the cycle time:

• Paramedical Exam Scheduling: The logistical friction of coordinating a third-party examiner to visit the applicant's home or workplace introduces the first major delay. Applicants routinely reschedule or cancel these appointments due to personal conflicts, extending the timeline by days or weeks before any medical data is actually collected.
• Laboratory Processing Lags: Once fluids are drawn, the chain of custody and centralized laboratory testing protocols require time. If a sample is compromised or yields an inconclusive result, the carrier must request a secondary draw, multiplying the frustration for the applicant.
• Attending Physician Statements (APS): Requesting an APS is widely considered the most severe bottleneck in life insurance processing. Medical clinics are not incentivized to respond quickly to insurance requests, meaning underwriters often wait weeks for a basic summary of the applicant's medical history.
• Premium Renegotiations: When a delayed physical exam uncovers a minor health issue, the carrier often responds with a non-standard premium rating. Coming weeks after the initial quote, this unexpected price hike frequently causes the applicant to decline the policy outright, cementing the NTO status.

Industry applications of digital health pipelines

The integration of digital health data into the underwriting process is not uniform across product lines. Different market segments apply these tools based on their specific tolerance for risk, target demographics, and required speed-to-market.

Instant-issue term life

The middle-market term life segment is highly commoditized, meaning consumers often select the carrier that offers the path of least resistance. Instant-issue term products rely heavily on algorithmic underwriting to issue policies at the point of sale. By utilizing digital health records and algorithmic risk scoring, carriers can approve standard and preferred risks while the applicant is still engaged with the digital application. This immediate reinforcement functionally eliminates the NTO risk for approved policies, as the buyer finalizes the transaction in a single session.

Middle-market whole life

Permanent life insurance products carry higher face amounts and longer liabilities, traditionally necessitating strict fluid testing. However, actuarial teams are calculating that the mortality savings gained from physical exams are frequently offset by the high NTO rates associated with the delay. By substituting blood profiles with robust digital health data, insurers can offer accelerated decisions on whole life products. This allows carriers to secure the initial premium payment before the applicant reconsiders the long-term financial commitment required by permanent coverage.

High-net-worth accelerated pathways

For high-net-worth individuals, the barrier to policy placement is rarely financial; it is convenience. Affluent applicants and executives are historically resistant to invasive medical exams and schedule disruptions. While massive face amounts still trigger manual review, carriers are utilizing digital health markers to streamline the front-end data collection. This reduces the administrative burden on the applicant and their wealth advisors, ensuring that highly profitable, complex estate-planning policies are not derailed by the logistical annoyance of a basic blood draw.

Current research and evidence

The shift toward automated workflows is supported by clear industry data tracking the correlation between speed, placement rates, and automation health data. In the Gen Re 2024 U.S. Individual Life Accelerated Underwriting Survey, authored by Ruth Potter, 82% of participating companies reported having fully or partially implemented accelerated underwriting workflows. When asked about their primary goals for these modernization programs, 53% of carriers cited the reduction of time to issue, tying exactly with the goal of meeting modern consumer expectations.

The 2025 Gen Re Next Gen Underwriting Survey provides the exact quantitative impact of this speed. The data reveals that fully underwritten workflows, those requiring physical exams and manual review, average an underwriting cycle time of 23 days. Accelerated workflows compress this to 5 days. This 18-business-day improvement translates directly into revenue: automated workflows placed 86% of approved applications, while traditional workflows placed only 63%.

This 23-percentage-point gap in placement represents policies where the acquisition cost was already spent on marketing, application processing, and data pulls, but no premium was collected to offset the expense. For actuarial teams, this data proves that prioritizing underwriting automation health data is not merely a customer service initiative; it is a critical loss-prevention strategy for the distribution funnel.

The future of accelerated policy placement

As the life insurance sector matures its approach to automated underwriting, the definition of health data is actively expanding. Early accelerated programs relied primarily on prescription databases (Rx), motor vehicle records (MVR), and the Medical Information Bureau (MIB) to rule out high-risk applicants. The next phase involves the active assessment of physiological health without requiring physical fluids.

Carriers are exploring non-invasive biometric capture methods, utilizing smartphone sensors and opt-in wearable device data to measure resting heart rate, heart rate variability, and respiratory indicators. This transition from static, historical databases to real-time physiological data allows algorithms to assess a wider band of applicants accurately.

By maintaining the speed of a digital transaction while improving the precision of the mortality risk assessment, carriers will push higher face amounts and older issue ages through instant-decision pipelines. As these technologies become standard operating procedure, the traditional 23-day underwriting cycle will become a relic, and high NTO rates will be correctly viewed as a failure of system architecture rather than an inevitable cost of doing business.

Frequently asked questions

What does "Not Taken Out" (NTO) mean in life insurance?

An NTO policy is a life insurance application that the carrier approved, but the applicant chose not to finalize or put into force. This typically occurs when the underwriting process takes too long, causing the applicant to lose interest, or when delayed medical exam results lead to higher-than-expected premium offers that the buyer rejects.

How does cycle time impact life insurance placement rates?

There is a direct, inverse relationship between the time it takes to underwrite a policy and the likelihood it will be placed. Industry data demonstrates that traditional underwriting, which averages 23 days, results in significantly lower placement rates (around 63%) compared to automated workflows that make decisions in minutes or days (yielding placement rates near 86%).

Why is automated health data preferred over self-reported questionnaires?

Self-reported questionnaires introduce high anti-selection risk, as applicants may intentionally or accidentally misrepresent their health status to secure lower rates. Automated health data provides objective, third-party verification of medical history and physiological markers, allowing carriers to make fast decisions without sacrificing mortality discipline or opening the risk pool to fraud.

Can accelerated underwriting completely replace traditional medical exams?

For standard age brackets and moderate face amounts, accelerated underwriting effectively replaces traditional exams. However, for highly complex medical histories, older age groups, or exceptionally large policy amounts, insurers still rely on attending physician statements and traditional physical exams to appropriately price the required risk.

Circadify is building the infrastructure that allows life insurance carriers to capture real-time biometric data without physical exams. By replacing delayed fluid draws with instant physiological analysis, our technology helps chief underwriting officers compress cycle times and dramatically reduce NTO rates. To see the actuarial math behind contactless health assessment, explore our resources for insurance and payer organizations here: https://circadify.com/industries/payers-insurance.