Make clinical evidence usable.Across insurer workflows.
JondaX turns lab reports and member-uploaded photos of device readings into coded, structured output your downstream systems can read automatically. Claims adjudication, underwriting, care management, all on the same data layer.
FHIR XML, FHIR JSON, HL7 v2, JSON, or CSV into your downstream systems. Coded to whatever standard your workflows require.
The clinical evidence problem
Clinical evidence arrives in formats insurer systems can't read.
Lab reports, device readings, and member-uploaded photos arrive in PDFs, scanned images, HL7 messages, proprietary formats, and multiple languages. Your claims system cannot reason over any of them directly. A reviewer has to make each piece of evidence readable and translate it into the claims workflow before the claim can move.
That labour is the bottleneck slowing every claim, and the same unreadable evidence keeps underwriting models and care management teams from the inputs they need.
Capabilities
One data layer. Three capabilities, delivered together.
JondaX delivers three capabilities from a single integration. Structured extraction for your claims systems, coded comparable inputs for your actuarial and underwriting models, and usable data from member-generated devices for your care management teams.
Capability 1: Automated clinical data extraction
Every lab report, device reading, and member-uploaded photo arrives as structured output. Coded to your workflow's standard and unit-harmonised. The manual review layer shrinks to the exceptions that actually need a human.
Capability 2: Coded inputs for pricing and risk
The same pipeline that clears claims produces coded, comparable inputs for your actuarial and underwriting models. Comparability across sources, geographies, and languages. Pricing on inputs your models can actually reason over.
Capability 3: Usable member-generated device data
Member-uploaded photos of BP readings, glucose measurements, at-home device data, and wearable health feeds arrive as structured, coded values. Usable by your care management platforms, not just visible. The same structured data that supports claims also tracks chronic disease progression and wellness outcomes.
Outcomes
Automate the clinical evidence layer.
Faster claims, consistent decisions, less leakage, earlier preventive intervention.
Return adjuster hours
Lab reports and member-uploaded photos arrive as structured data. The hours your team spends making unstructured evidence usable return to higher-judgement work.
Improve adjudication consistency
Two adjusters looking at the same claim see the same structured output. Decision variance drops. Appeals and disputes decline when the underlying evidence is extracted identically every time.
Reduce leakage from unused evidence
Evidence arrives in formats and languages your team can't process at volume. PDFs, scanned copies, photos, faxes, and more, each needing different handling. JondaX structures it into the format your system uses. Adjudication decisions run on the complete evidence record, not just the portion your team had time to review.
Identify at-risk members before they become claims
At-risk members get identified before their conditions become high-cost claims. Structured lab results and device readings make patterns visible across your portfolio, not buried in data that your team can never use and review.
The same layer serves underwriting and care management.
For underwriting and risk
Price on data that is actually comparable.
Feed actuarial models with structured, coded, multi-source inputs. Price on data your models can actually reason over.
Tighten pricing assumptions
Your pricing models run on cleaner, comparable inputs across geographies and providers. The noise in the data that forced loose assumptions gets systematically removed.
Less noise in reserving inputs
Structured clinical inputs across the portfolio mean reserving models run on data that holds up to independent review. The loose assumptions forced by data quality gaps can be tightened on the evidence JondaX surfaces.
Feed your AI models with inputs they can trust
Risk scoring, claim triage, and underwriting models all perform better on coded, unit-harmonised inputs. The substrate your ML investments were waiting for.
For care management and home-based care
Make member-generated device data usable.
Member-generated device readings, lab results, and wellness data arrive as structured values your care management platforms can use. Chronic disease tracking, preventive care pathways, and member wellness programs run on real clinical markers, not just what members report.
Chronic disease tracking on measurable markers
Member-uploaded photos of BP readings, glucose measurements, and at-home device data arrive as structured values. Chronic disease management platforms track real clinical progress over time, not just member self-reports.
Preventive care with earlier detection
Lab results from member health-tracking feeds, structured and compared across the portfolio, surface emerging conditions earlier than waiting for claims to trigger a review. Preventive care pathways engage members before high-cost interventions become necessary.
Measurable care pathway outcomes
When member-generated clinical data is structured, care pathway outcomes become measurable against actual biomarker changes. Programme impact becomes visible in the clinical data, alongside the member-reported data your teams already collect.
Operating scale
Built on production workloads across clinical integrations.
JondaX is in production across 7 live clinical integrations, spanning LIS, EHR, digital health, and insurance workflows. The infrastructure for claims, underwriting, and care management is running today.
In production
Integrated with a health tech platform serving a large African health insurer.
A health tech company supporting a large African health insurer. JondaX is integrated in two places: converting lab data from a major African laboratory into structured output for the insurer's member wellness and health tracking, and extracting BP readings from member-uploaded photos in the consumer app chronic disease program members use.
What JondaX delivers
Every source, every format your insurer systems receive.
The full range of clinical evidence flowing into your claims, underwriting, and care management workflows, delivered as structured data ready for your downstream systems.
Clinical evidence sources, any format
- Digital and scanned lab reports
- Lab reports as photos
- Faxes
Member-generated, member-uploaded
- Photos of home device readings: BP cuffs, glucometers, oximeters
- Wearable health data via partner integrations: Apple Health, Fitbit, Garmin, Oura
- Patient-captured photos of lab results
Output for your systems, ready to use
- FHIR XML, FHIR JSON, HL7 v2, JSON, CSV for your claims, actuarial, and care management systems
- Coded to whatever standard your workflow requires
- Structured data for actuarial data warehouses and care management platforms
- Audit trail on every transformation
Real Questions. Honest Answers.
Straight answers to the questions that come up when evaluating JondaX.
JondaX ingests digital and scanned lab reports, lab reports captured as photos, faxes, member-uploaded device photos, and other clinical evidence formats your insurer workflows receive. Each piece is converted to structured output, regardless of source format or language. Member-uploaded BP photos are treated the same as digital lab feeds: extracted, structured, coded to your workflow's standard. This means your team stops routing claims to separate processes based on format, and one integration handles the whole evidence layer.
JondaX runs alongside your existing claims system, not as a replacement. Output flows in FHIR XML, FHIR JSON, HL7 v2, JSON, or CSV, whichever your claims system already reads. Coding is configurable to whatever ontology your workflow uses, rather than a tool-imposed default. This means you can solve the clinical evidence layer without changing the core platforms your claims, actuarial, and care management teams already rely on.
JondaX processes clinical evidence in 10+ languages natively, including English, Bahasa Indonesia, Spanish, French, and others. Languages are auto-detected on ingestion, and structured output is returned in English regardless of input language. No pre-translation step is required. This means multi-country insurers can run a single integration across markets, and claims teams can review evidence from any region without waiting for language handling to be built market by market.
The same pipeline that structures claims evidence also produces coded, comparable inputs for your actuarial and underwriting models. Comparability holds across sources, geographies, and languages, which means your pricing and risk models run on inputs that are genuinely commensurable rather than best-effort reconciled. Unit harmonisation uses internationally recognised conversions. This means the noise in your data that previously forced loose assumptions can be tightened on the evidence JondaX surfaces.
Member-uploaded photos of BP readings, glucose measurements, at-home device data, and wearable health feeds arrive as structured, coded values ready for your care management platforms. Photo-captured readings provide audit-grade evidence that manual text entries cannot. The same harmonisation applies as for formal lab evidence: configurable coding, unit harmonisation, and full audit trail. This means care management teams get usable member data instead of visible-but-unstructured streams that accumulate without acting on them.
JondaX de-identifies data on ingestion within your selected residency region: Singapore, EU, or US. Additional residency regions are available on enterprise plans. Data is retained for 30 days for error resolution, then purged. JondaX is ISO 27001 certified and designed to comply with HIPAA, GDPR, and PDPA. DPA and BAA are executed automatically on signup. This means your compliance, procurement, and information security review teams all have documented answers from day one without bespoke negotiations.
Building clinical evidence extraction internally requires ML engineering capacity, medical coding domain expertise, a continuously-maintained language and format coverage roadmap, and ongoing operational support. JondaX delivers all of this as a platform, with 13M+ data points already transformed across 7 live integrations. This means your engineering resources stay focused on your core insurance platform instead of maintaining a data extraction layer that has to catch up to every new format, language, and coding update in the market.
Yes. JondaX is designed for cross-region comparability. The same biomarker arriving in different formats, units, languages, and coding conventions from multiple country markets is harmonised to consistent structured output. Reinsurers and large multi-country insurers use this layer to run risk models on data that is genuinely comparable across portfolios. This means your actuarial team can price on portfolio-wide inputs without carrying a data quality buffer that loose assumptions forced.
Automate the clinical evidence layer behind every claim.
Talk to our team about how JondaX fits your claims adjudication flow, your actuarial data warehouse, and your care management platforms.
