Build a Custom Oncology Dashboard Using AI in Minutes
Describe your Oncology Dashboard in plain English. Emergent handles design, development, and deployment, giving you a live build in minutes. No code needed.
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Emergent Key Features for Building an Oncology Dashboard
Each patient followed along the whole pathway, so a delay is visible at the step that caused it.
Patient Level Pathway Tracking
Each patient is followed across every stage, so a delay is identified at the step causing it rather than appearing as a breach at the end.
Breach Risk Ahead of Target
Patients approaching a pathway limit are flagged with days remaining, which allows recovery while the target is still achievable.
Regimen Adherence Measured
Delivered cycles and doses are compared against protocol with reasons for variance, distinguishing clinical decision from operational delay.
Capacity Linked to Pathway Demand
Forecast treatment demand comes from patients currently on pathway, so chair capacity is planned rather than reacted to.
Toxicity and Unplanned Admissions
Adverse events during treatment are recorded with cause, connecting delivery decisions to what patients actually experienced.
Trial Enrolment against Eligibility
Eligible patients screened and enrolled are compared, surfacing the recruitment opportunities missed within routine care.
Oncology Dashboard Use Cases You Can Build in Minutes

Recover a Pathway before It Breaches
Patients on pathway by tumour group with days from referral, time to first appointment, diagnosis and first treatment against target, patients at risk of breaching within seven days and breaches with the stage and reason.
window.awbMockup = { pathwayTiming: "Build an oncology pathway dashboard showing patients on pathway by tumour group with days from referral, time to first appointment, to diagnosis and to first treatment against target, patients at risk of breaching within seven days, breaches with the stage and reason, and median times by tumour group.", treatmentDelivery: "Build a chemotherapy delivery dashboard showing cycles planned against delivered, delays and dose reductions with reasons, treatments deferred on the day and why, patients discontinuing early, regimen adherence against protocol, and delivery performance by regimen and clinician.", treatmentCapacity: "Build an oncology capacity dashboard showing chair and bed utilisation by day and session, appointment slots booked against available, treatment demand forecast from patients currently on pathway, pharmacy preparation turnaround affecting start times, and sessions running over planned finish times.", outcomeAndToxicity: "Build an oncology outcome dashboard showing treatment completion rates by regimen and tumour group, recorded toxicity events by grade and type, unplanned admissions during treatment with cause, time to next treatment line, and trial screening and enrolment against eligible patients."};

Tell a Clinical Decision from a Service Delay
Cycles planned against delivered, delays and dose reductions with reasons, treatments deferred on the day and why, patients discontinuing early, regimen adherence against protocol and delivery performance by regimen and clinician.
window.awbMockup = { pathwayTiming: "Build an oncology pathway dashboard showing patients on pathway by tumour group with days from referral, time to first appointment, to diagnosis and to first treatment against target, patients at risk of breaching within seven days, breaches with the stage and reason, and median times by tumour group.", treatmentDelivery: "Build a chemotherapy delivery dashboard showing cycles planned against delivered, delays and dose reductions with reasons, treatments deferred on the day and why, patients discontinuing early, regimen adherence against protocol, and delivery performance by regimen and clinician.", treatmentCapacity: "Build an oncology capacity dashboard showing chair and bed utilisation by day and session, appointment slots booked against available, treatment demand forecast from patients currently on pathway, pharmacy preparation turnaround affecting start times, and sessions running over planned finish times.", outcomeAndToxicity: "Build an oncology outcome dashboard showing treatment completion rates by regimen and tumour group, recorded toxicity events by grade and type, unplanned admissions during treatment with cause, time to next treatment line, and trial screening and enrolment against eligible patients."};

Plan Chair Capacity from the Pathway Ahead
Chair and bed utilisation by day and session, appointment slots booked against available, treatment demand forecast from patients currently on pathway, pharmacy preparation turnaround affecting start times and sessions overrunning.
window.awbMockup = { pathwayTiming: "Build an oncology pathway dashboard showing patients on pathway by tumour group with days from referral, time to first appointment, to diagnosis and to first treatment against target, patients at risk of breaching within seven days, breaches with the stage and reason, and median times by tumour group.", treatmentDelivery: "Build a chemotherapy delivery dashboard showing cycles planned against delivered, delays and dose reductions with reasons, treatments deferred on the day and why, patients discontinuing early, regimen adherence against protocol, and delivery performance by regimen and clinician.", treatmentCapacity: "Build an oncology capacity dashboard showing chair and bed utilisation by day and session, appointment slots booked against available, treatment demand forecast from patients currently on pathway, pharmacy preparation turnaround affecting start times, and sessions running over planned finish times.", outcomeAndToxicity: "Build an oncology outcome dashboard showing treatment completion rates by regimen and tumour group, recorded toxicity events by grade and type, unplanned admissions during treatment with cause, time to next treatment line, and trial screening and enrolment against eligible patients."};

Connect Delivery Decisions to What Patients Experienced
Treatment completion rates by regimen and tumour group, recorded toxicity events by grade and type, unplanned admissions during treatment with cause, time to next treatment line and trial screening against eligible patients.
Connect Delivery Decisions to What Patients Experienced
Treatment completion rates by regimen and tumour group, recorded toxicity events by grade and type, unplanned admissions during treatment with cause, time to next treatment line and trial screening against eligible patients.
Build a custom oncology dashboard in 4 simple steps
Track referral to treatment times, regimen delivery, chair utilisation and outcomes by tumour group, so pathway delays are found while they can still be recovered.
Start with time from referral to diagnosis and to first treatment, patients on pathway by tumour group and stage, regimen delivery against protocol, treatment delays and their reasons, and chair or bed capacity. Emergent builds around your tumour groups and pathways.
Link your patient administration system, multidisciplinary team records, chemotherapy prescribing, radiotherapy scheduling and outcome data. Emergent tracks each patient along the pathway, so a delay is visible at the step where it occurs.
Ask to add a tumour group, change a pathway target, include another regimen or alter how delays are categorised, and every patient level view rebuilds.
Publish one link where clinical teams see patients at risk of breaching pathway targets and management sees capacity and performance by tumour group.
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