AI Powered Revenue Cycle
Protect margin across cardiac, stroke, and NICU cases with millions in coding optimization upside
Memorial Hermann Southwest operates some of the hospital system’s most documentation-sensitive service lines, including Top 50 cardiovascular care, a Comprehensive Stroke Center, and a Level III NICU. Arkangel AI can help surface missed comorbidities, strengthen DRG accuracy, and improve case mix capture in the areas where reimbursement variance is highest.
See how we get thereHigh-acuity service lines create outsized reimbursement opportunity
Memorial Hermann Southwest’s clinical profile points to meaningful upside from tighter documentation, DRG accuracy, and case mix optimization across its most complex inpatient programs.
Best-fit pilot: cardiac, stroke, and NICU discharges
A focused 90-day pilot reviewing high-value discharges can quantify missed comorbidities, validate DRG integrity, and build a clear expansion case for broader Memorial Hermann deployment.
Heart & Vascular · Top 50 cardiovascular program
5–12% revenue improvement opportunity
High-value cardiac DRGs with complex procedure and comorbidity capture
Cardiovascular admissions are among the most documentation-sensitive cases in the hospital. AI-assisted chart review can identify missed HCCs, severity indicators, and procedure detail gaps that materially affect DRG assignment and reimbursement.
Hospital profile and operating context
Publicly available system and hospital data show a financially strong parent organization supporting a high-complexity hospital campus with meaningful reimbursement sensitivity.
Hospital Profile
Licensed beds
541
Facility type
General acute care hospital
System total revenue
$8,530,000,000
Program service revenue
$8,040,000,000
System net income
$860,000,000
Total assets
$13,700,000,000
System expenses
$7,670,000,000
YoY revenue growth
+9.6%
System employees
Turn high-acuity documentation intomeasurable net revenue lift
Memorial Hermann Southwest already delivers complex cardiovascular, stroke, maternal, and neonatal care at scale. Let’s identify where AI-powered chart review can improve DRG accuracy, strengthen CMI, and reduce preventable revenue leakage.
5–12%
Cardiac and stroke revenue improvement potential
8–15%
NICU missed revenue recovery opportunity
90 days
Pilot timeline to quantify ROI
Jose Zea
Hi, I’m Jose, one of the top MIT Technology Innovators Under 35
For years, I’ve worked with leading healthcare institutions to optimize revenue, improve coding accuracy, and reduce costly operational inefficiencies. We’d love to bring that same impact to your team and help you focus on what really matters: patients.
