Shriram Finance
less than 3–4 hours — Onboarding Turn-Around-Time (TAT)
Independently reportedBanking & finance · Process automation · Classical ML · In production
Process automation
MUSC Health · Notable
Vendor-reportedHealthcareUnited StatesScaledEnterpriseClassical MLLive 2022
Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.
Reported by notablehealth.com (vendor self-report). Checked against the source page on 2026-09-05. 14 of 14 figures below appear on that page word for word.
The problem
Manual patient intake and registration processes, leading to staff burden and inefficient patient experience.
What was deployed
- Vendor
- Notable
- Products
- Notable
- Technique
- Classical ML
- Build or buy
- Bought off the shelf
- Deployment
- SaaS
- Data used
- patient information from past encounters, EHR
- Scale
- enterprise-wide, across 760 departments and 3,000-plus providers
What changed
Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.
110000monthly digital registrations completedmonthly
“the organization is averaging 110,000 monthly digital registrations completed.”
Quoted word for word from the source
3-5staff time saved per appointmentper appointment
“Each digital registration saves an estimated three to five minutes of staff time per appointment.”
Quoted word for word from the source
1300hours reallocated to higher-value patient care tasksper week
“Notable has allowed MUSC caregivers to reallocate over 1,300 hours per week to higher-value patient care tasks, including addressing advanced questions, referrals and additional face-to-face engagement.”
Quoted word for word from the source
98patient satisfactionsince initial go-live in May 2022
“This has helped to drive 98% patient satisfaction since the initial go-live in May 2022.”
Quoted word for word from the source
147Mammogram appointments scheduled without staff involvement (first evening)first evening
“On the first evening after implementation, 147 mammogram appointments were scheduled by women without the involvement of any staff.”
Quoted word for word from the source
1100Mammogram appointments scheduled without staff involvement (as program rolled out)
“upward of 1,100 women scheduled mammograms without staff involvement.”
Quoted word for word from the source
5100Women who completed the mammogram outreach experience
“more than 5,100 women completed the experience, and upward of 1,100 women scheduled mammograms without staff involvement”
Quoted word for word from the source
122Abnormal mammogram results discovered
“Of those, 122 were found to have abnormal mammogram results, which may not have otherwise been discovered.”
Quoted word for word from the source
Digital intake completion rates for Spanish-speaking patients
“As a result, MUSC Health increased digital intake completion rates by 30% for its Spanish-speaking patients.”
Quoted word for word from the source · round percentage, no baseline given
1700000Copays collected during pre-visit registration
“Notable helped the organization to collect $1.7 million in copays during the pre-visit registration process”
Quoted word for word from the source
15Total copay collection without human intervention
“meaning 15% of MUSC Health’s total copay collection happened without human intervention.”
Quoted word for word from the source
No-show ratesin 2023
“In 2023, no-show rates were reduced by 7.6% which equates to 14,500 no-shows avoided each year.”
Quoted word for word from the source
14500No-shows avoidedeach year
“In 2023, no-show rates were reduced by 7.6% which equates to 14,500 no-shows avoided each year.”
Quoted word for word from the source
3300000Annual value deliveredannual
“The MUSC Health and Notable partnership delivers over $3.3 million in annual value to MUSC Health per the Joint Operating Committee-approved attribution model.”
Quoted word for word from the source
“When patients complete everything through Notable, it’s so much easier for the front desk. All the documents are signed, and the [insurance] cards are scanned in. It makes check-in faster for patients so they can see the doctor more quickly.”
Difficulties and limits
- Patient access - navigating patients to the right care at the right time across more than 750 care locations, personalized to each patient's preferred communication mode and language
- Identifying processes that currently depend on human engagement and deploying technology to automate them
- Reducing the burden on healthcare providers and staff
- Change management for staff with the touchless digital check-in process
- There is a concern that digital technologies could worsen health inequities in health care (addressed via a dedicated Spanish-language digital intake initiative).
Sources
- notablehealth.com — vendor self-report
- notablehealth.com — vendor self-report
Similar deployments
GE Aerospace
Independently reportedManufacturing · Process automation · Classical ML · Scaled
Apollo Tyres
under 10 minutes — Time for root cause analysis
Independently reportedManufacturing · Process automation · AI agents · In production
Broadcom · Moveworks
88% — autonomous IT resolution rate
Independently reportedTechnology & software · Process automation · NLP · Scaled
icare · SAS
increased by 15% — accuracy
Independently reportedInsurance · Process automation · Classical ML · Scaled · 2019
Amazon · Amazon
10% more — shopper spend
Independently reportedRetail & e-commerce · Process automation · Computer vision · Scaled · 2024