Multiple steps
A patient may move from a panel to an exome, then reanalysis. Results and decisions build on one another over time.
The workspace for genetic care journeys
When a genetic variant is identified in a patient, teams need to identify at-risk relatives, reconstruct the family tree, contact them, obtain their consent, arrange tests, track results and sometimes maintain follow-up for years.
Today, this coordination remains complex and may rely on scattered tools and manual processes.
Cascagen brings together the family, pedigree, screening campaigns, tests, consents, reminders and clinical decisions in a single secure and traceable workflow.
Cascagen replaces neither the EHR nor the laboratory: it orchestrates everything around them to turn an individual genetic result into a complete family care journey.
One patient. One family. Continuity of care.
Cascagen in motion
45 sA short look at how Cascagen connects data, families, and clinical genetics teams.
The everyday reality
Care journeys are long, non-linear and family-centred. Multiple consultations, successive tests, weeks of waiting, an MDT discussion… then ongoing care and new journeys for relatives.
A genetic result is part of a human story: that of a person and their loved ones, with their questions, expectations and need for support. This story evolves through consultations, tests and advances in medical knowledge. It can involve several members of a family and require renewed attention long after diagnosis.
Cascagen’s purpose is to help genetics teams maintain this continuity. By connecting clinical information to decisions and the actions to take, the software helps professionals coordinate their work and makes the next steps of each journey visible.
Designed as a specialist module of the electronic health record, Cascagen places each person’s follow-up within their family context and over time. Patients and relatives thus have distinct but connected journeys that teams can revisit and adapt over the years. Our commitment: to give them the means to sustain each person’s care, without leaving a process unfinished or anyone lost to follow-up.
A patient may move from a panel to an exome, then reanalysis. Results and decisions build on one another over time.
Each relative progresses at their own pace, with their own consultations, consents, tests and actions.
A new analysis or reinterpretation can bring a record back into focus long after diagnosis.
Know what has been done, what remains to do, for whom, by whom and when.
On smaller screens, scroll the table horizontally. With a keyboard, focus the table and use the left and right arrow keys.
| Feature | Spreadsheets / scattered tools | Cascagen |
|---|---|---|
| Patient follow-up | Scattered information, manual follow-up | Centralised, longitudinal patient journey |
| Family and relative follow-up | Family relationships are difficult to represent and maintain | Structured families, relatives and family relationships |
| Pedigree | Separate tools or static representations | Pedigree integrated into the family journey |
| Family screening campaigns | Complex follow-up, risk of oversights, limited visibility | Structured follow-up for each relative within a campaign |
| Successive tests | Information spread across records, files and tools | Test and result history linked to the patient |
| MDT meetings and decisions | Separate reports, decisions difficult to retrieve | Documented decisions linked to patients and campaigns |
| Actions and deadlines | Manual reminders and risk of oversights | Actions, owners, deadlines and operational follow-up |
| Daily department overview | Manual consolidation required | Dashboard of records, campaigns and actions to address |
| Longitudinal follow-up | Difficult to resume a record months or years later | History that enables care journeys to resume over time |
| Traceability | Difficult to reconstruct who did what and when | Operation history and audit logs |
| Access management | Access controls depend on individual files and tools | User, role and access rights management |
| Interoperability | Repeated data entry and manual exchanges | Planned APIs and integrations with the healthcare IT ecosystem |
| Department indicators | Manual extraction and consolidation | Operational indicators drawn directly from activity |
| Information organisation | Patients, families, tests and actions spread across multiple sources | A structured view connecting patients, families, campaigns, tests, decisions and actions |