The first thing to fail was the market. IntelliScript had built a business helping health insurers understand applicants through their prescription histories. Then the Affordable Care Act changed the rules of the game. In a 2022 interview, Chris Martin, then a principal and managing director, recalled that the law had made the original business model obsolete. The company moved toward life insurance. An insurance data business had discovered that its most valuable possession was a skill that could travel.
- Collect the clues: authorized prescription histories, medical claims, and other records.
- Interpret them: combine clinical expertise, actuarial modeling, and software.
- Change the decision: help underwriters, claims managers, and screening teams act earlier.
- Keep the distinction: IntelliScript supplies evidence; the insurer decides coverage.
The law that changed the customer
There is a temptation to tell technology stories as a sequence of inventions. This one turns on a change of audience. Health information remained useful; the original commercial setting had changed. Life insurers still needed to understand mortality risk. IntelliScript could take its experience with prescription records to a different desk.
That transition had a particular kind of backing. Milliman acquired IntelliScript in 2005, when it had three employees. In its account of the acquisition, Milliman describes providing finance, legal, human resources, IT, and marketing support at discounted rates. Its name also helped the small business get meetings with prospects. The team kept operational independence. For a company selling evidence to cautious institutions, an introduction from a trusted actuarial firm is a rather useful accessory.
Martin’s explanation of the culture came from an unlikely place: skateboarding. Falling belonged to learning. The attitude encouraged trying again without pretending that every experiment would succeed. By the time of that 2022 interview, the business had almost 300 people. His concern was how to preserve experimentation once there was something substantial to protect.
“It’s OK to fall as long as you pick yourself right back up.”Chris Martin · 2022 interview
A prescription is a clue, not a verdict
The original proposition was pleasingly concrete. An applicant authorizes access to records. An insurer submits an electronic request. IntelliScript gathers prescription information and returns an organized history. An older Milliman product brochure describes results arriving within seconds, with drug names, doses, fill dates, pharmacies, and physicians arranged in a color-coded timeline.
A list of prescriptions, however, does not explain itself. A drug can have several uses. A gap in a record may deserve investigation. Underwriters need to understand what a pattern means for the coverage being considered. IntelliScript’s business sits in that interpretive step, with clinicians, actuaries, data scientists, and engineers working on the same problem.
Its Irix Rules Engine ingests selected data sets, application information, and optional inputs. Rules are calibrated to the carrier’s standards and risk thresholds. The output supports point-of-sale decisions, triage, review, and post-issue checks. The calibration matters: two insurers can examine similar evidence and have different underwriting appetites.
Medical claims add another view. They can show care beyond a primary physician, including hospitalizations, specialist encounters, and treatments that prescription histories alone may miss. In a testimonial published by IntelliScript, WoodmenLife underwriter Lee Janecek reported that Medical Data cut attending physician statement orders nearly in half. That is a customer’s account of a particular workflow, rather than a promised result for every carrier.
- 01 / AuthorizationThe applicant permits access.
- 02 / RecordsRelevant data is gathered.
- 03 / InterpretationRules and models surface signals.
- 04 / DecisionThe insurer applies its standards.
Three lenses on the same uncertainty
Irix addresses an individual: an applicant for life, disability, long-term care, or Medicare Supplement insurance. Its suite includes data, rules, risk scores, and post-issue review. The product design reflects a specific question: what does this evidence tell us about this person’s risk?
Curv changes the unit of analysis. It uses deidentified prescription histories and medical claims to assess groups, including situations where an insurer lacks the group’s claims history. Its applications span group health, group life and disability, market segmentation, and ACA risk adjustment. A group’s relative risk is a different output from an individual underwriting report, even if some of the underlying expertise is shared.
Nodal moves to property and casualty claims. It uses AI and machine learning to interpret structured information and unstructured material, such as claim notes. Claims triage and medical benchmarking address what might become costly, what treatment should cost, and where earlier attention could matter. In June 2025, IntelliScript’s newsroom announced Nodal’s InsuranceERM recognition as Analytics Solution of the Year in the Americas.
A warning needs someone to act
A Milliman case study of the Intergovernmental Risk Management Agency, an Illinois public risk pool, supplies an operational example. Valuable information was buried in adjusters’ and case managers’ notes. Reading through it manually delayed recognition of claims that could grow expensive. Nodal mined that text for characteristics associated with higher costs and helped flag potential “jumper” claims.
The case study reported that Nodal identified 19 of IRMA’s 20 largest claims within 30 days. Managers could assign experienced adjusters and bring in resources earlier. The mechanism was a change in how the work was allocated. A warning reached people who could do something with it.
Largest IRMA claims identified within 30 days in Milliman’s published case study.
The useful lesson travels beyond insurance: put a signal next to an available action. An organization that cannot change assignments, authorize intervention, or review a flagged case will get less value from an early warning. Software can move the information forward; someone still has to move the work.
Buy the next piece of evidence wisely
IntelliScript’s EHR approach applies the same timing principle to record acquisition. Prescription and medical claims information guide which electronic health records to order. The platform brings records together and makes them searchable, with interpretation intended to highlight relevant conditions. Some severity, recency, and completeness indications are evaluated in study engagements, according to its product page.
The October 2022 acquisition of OneRecord added a consumer health-data application and a business-facing API, along with expertise in standards-based exchange. The announcement linked the purchase to client demand for more tools using consumer consent. It made access to additional records part of the company’s expanding capabilities.
The commercial model is business-to-business data and SaaS, supported by domain expertise and implementation work. The buying decision is about the economics of the carrier’s own process: evidence costs, underwriter time, and risk selection. IntelliScript competes with other data and modeling providers, including adjacent offerings from LexisNexis Risk Solutions and ExamOne, as well as established manual processes. Its distinctive proposition is the combination of data networks, clinical interpretation, actuarial models, and carrier-specific workflow rules.
The same question walks into a trial - and a law firm
Contxt takes interpreted health data into clinical trial pre-screening. Recruiters, sites, sponsors, and contract research organizations can assess candidates against trial-specific criteria using authorized prescription and medical claims information. The aim is to identify qualification problems before spending more time on enrollment.
Parse applies a related approach to legal intake. Plaintiff firms and litigation service companies can examine documented treatment and care patterns early, then direct record retrieval toward relevant providers. Neither application turns insurance underwriting into a universal answer. Each adapts the evidence to a different question, with its own criteria and consent workflow.
The person inside the report
For an applicant, the practical benefit can be a quicker insurance decision with fewer exams. It is conditional: records must be available, matched correctly, and sufficient for the insurer’s needs. IntelliScript’s FAQ acknowledges that an authorized request can return no electronic medical data. An empty report cannot supply evidence it never found.
People can request their consumer reports and dispute inaccuracies. IntelliScript does not grant or deny insurance; the carrier does. That separation is essential to understanding the company. Its reinvention preserved a particular expertise: finding useful signals in health records. The enduring question is whether those signals reach a decision-maker soon enough to help.