North Kansas City Hospital improves digital patient registration

How Epic-based Montage Health delivers better care and does so more efficiently

$2M

Annual value from revenue capture and cost savings

11%

Reduction in no-shows

2.8%

Increase in point-of-service cash collections

13

FTEs capacity created

Solutions Deployed
Registration and Intake, Referrals, Care Gap Closure
EHR
Epic
employed PROVIDERS
3,000
Market
Monterey Peninsula
About Montage Health
About Notable

Study in brief

Over the past two years, Notable and Montage Health have partnered on Registration and Intake, Referrals, and Care Gap Closure. Through a detailed study, we’ve assessed the tangible benefits of this partnership.

The partnership yields Montage Health an estimated $2 million in annual gross value through revenue capture and cost savings. This result shows how an AI platform can improve financial performance and operational efficiency. Montage Health had already transitioned from analog to digital with its EHR implementation, and adding AI and automation unlocked further benefits.

No-show rates dropped by 11 percent with automated appointment reminders and the ability to confirm or cancel digitally, boosting resource utilization.

The point-of-service cash collections rate has increased by 2.8 percent. When patients complete their digital pre-registration, they can digitally pay their co-pays and prior balances before arriving at the appointment. These more user-friendly processes are essential for the organization’s financial sustainability.

The partnership also freed up the equivalent of 13 full-time employees (FTEs), allowing resource reallocation to higher priorities. This equates to a 3–6 percent improvement in operational labor efficiency across Montage Health’s ambulatory footprint of approximately 300 FTE staff.

Ultimately, using an AI platform has allowed Montage Health to grow its patient volumes without adding more staff. The collaboration between Notable and Montage Health demonstrates AI and automation's power to significantly improve healthcare delivery.

Arrow Back
Back to customer stories

North Kansas City Hospital improves digital patient registration

North Kansas City Hospital improves digital patient registration

How the health system expanded its use of Notable to deliver a fully digitized, automated registration experience, along with care gap outreach.

North Kansas City Hospital
North Kansas City Hospital
Solutions deployed

Intelligent Intake, Intelligent Population Health

Market

Oracle

Clinicians

550+

Patients Served

540,000

EHR

Cerner

Download case study
Button Arrow 
Button Arrow

North Kansas City Hospital (NKCH) is an acute care facility that provides the largest network of provider practices in the Northland region of Kansas City. Through its Meritas Health subsidiary, NKCH employs more than 140 primary and specialty care physicians in 30 locations, and its medical staff of 550 physicians represents 46 medical specialties. NKCH has consistently been recognized as a Best Hospital in the Kansas City metro area and in the state of Missouri.

North Kansas City Hospital

“By leveraging AI to match each patient with the correct provider, Intelligent Scheduling has increased provider adoption of online scheduling. We are excited to expand Intelligent Scheduling across primary and specialty care areas after achieving 99.3% patient satisfaction and scheduling 80,000 appointments within three weeks of deployment.”

Kristen Guillaume
Kristen Guillaume
CIO
70%

digital completion rate

23%

decrease in no-show rate

95%

patient satisfaction

13

weeks to go-live

The challenge

Traditionally, it is difficult to identify and/or screen patients based on risk factors and reach out to them proactively, in real-time. Healthcare organizations employ a variety of methods to capture and store information about a patient’s care, and EHRs typically are not set up to automatically reconcile data — especially if the patient received care outside of their PCP — and close the gap.

The solution

During the early stages of regional vaccination rollouts, it was difficult to identify and/or screen eligible patients based on risk factors and contraindications in a scalable way. Since the availability of vaccines varied, it was not easy to forecast how many doses might be available at a given time; and evolving federal/state eligibility guidelines made it difficult to communicate the most current information to each patient cohort, about when and where to receive a COVID-19 vaccine.

Download case study
Button Arrow 
Button Arrow