Catalog record · Operations & Efficiency
Stage as of source date not established · historical report, not live reconfirmation.
Mid and South Essex appointment-risk scheduling
Primary workflow source. A named organization's workflow supported by a reviewed primary source. Stage is reported separately; this label does not establish measured outcomes or independent validation.
Last researched Oct 26, 2026. Source access and reported stage are recorded below; deployment evidence does not establish ROI.
What the research supports
The trust uses AI-informed booking and two-way text messaging to reduce missed outpatient appointments.
- Reported stage
- Production
- Technology
- Machine Learning
- Business function
- Back Office
- Impact (legacy label)
- Not labeled
- Catalog date · unconfirmed
- Not reported
- Imported
- Oct 29, 2026
- Last researched
- Oct 26, 2026
Measures & evidence
No quantified measure recorded. This is a gap in the evidence, not a finding of no value.
Documented vendor relationships
No vendor relationship has been linked to this specific workflow in the curated overlay. This does not mean it was built without vendors.
See the company’s documented relationshipsDeployment evidence & limits
The trust's 2024 AGM response explicitly says it is using Deep Medical; the NHS accelerator describes it as live. Status date not established.
Stage is as reported in the cited evidence. Current operating status has not been independently reconfirmed; the research date is an editorial review date.
No scale is inferred from NHS-wide rollout plans. Large anticipated capacity and ROI figures were not entered as achieved outcomes. Avoid penalizing vulnerable customers or overbooking essential consultations; test calibration, fair access and incremental attendance.
Potential FS application · inferred
Inferred: Predict missed mortgage-advice or financial-counseling appointments and offer targeted reminders or alternative slots.
Attendance prediction enables targeted interventions and capacity allocation.
Original industry: Healthcare delivery. Transfer limits: Avoid penalizing vulnerable customers or overbooking essential consultations; test calibration, fair access and incremental attendance.
Recorded dependencies
- Workflow-specific human review and permissioned access to source records
- Local evaluation of omissions, false assertions, escalation failures and total review time
Source register
- 2024 AGM - summary, questions and responsesmse.nhs.uk · opens in a new tab
Mid and South Essex NHS Foundation Trust · issuer · full-text · Publication date not recorded
- NHS AI expansion to help tackle missed appointments and improve waiting timesengland.nhs.uk · opens in a new tab
NHS England · issuer · indexed-primary · Published 2024-03-14
Research lanes: health_life_sciences · Batch global-discovery-2026-10-26. Coverage and remaining gaps