EXECUTIVE PERSPECTIVE 1.1 · HealthTech & Digital Health Investment
Navigating a new ROI mandate in healthtech
Rethinking the “land grab” era of point solutions
By Joe Sedlak, MBA, RN, BSN Founder & Principal Advisor, Cornerstone Scale Advisory LLC
September 2026
The healthtech narrative has undergone a fundamental shift. For years, the sector operated on land-grab logic: build a niche digital solution, sell the promise of future efficiency, and scale at all costs. That playbook is officially dead.
As we analyze the latest market dynamics—from global digital health investment trends to executive sentiment across health systems—one theme is clear: the era of speculative technology in healthcare has given way to an unyielding mandate for immediate, measurable return on investment. The surge in artificial intelligence isn't just accelerating innovation; it is redefining what health systems, payers, and venture capital investors consider a viable technology business.
From “cool tech” to 3x–4x ROI
Recent industry findings, including the Bain & Company and KLAS Research survey of U.S. healthcare executives, point to a crucial shift: software and digital tech remain a top-five priority for 95% of healthcare providers and payers, but spending now comes with strict parameters.
Facing severe margin pressure, labor constraints, and technical debt, healthcare leaders are no longer buying software on long-term transformative potential alone. They want:
Short time-to-value — fast implementation with immediate operational relief.
Defined ROI thresholds — many health systems now explicitly demand target returns of 3x to 4x their initial investment.
Core workflow alignment — investment is leaning heavily toward revenue cycle management, clinical workflow optimization, and patient access, where results can be measured in weeks, not years.
The AI divide: hype vs. hard returns
AI is fueling a new wave of healthcare innovation, but the market is quickly distinguishing between foundational utility and market noise. Where is AI winning today? In the unglamorous, high-friction operational workflows.
Organizations using ambient clinical documentation tools report 50–60% reductions in documentation time, with some seeing patient volume increase by up to 18%—a direct hit on both clinician burnout and system revenue. In payer operations, over 60% of payers have rolled out AI in call centers and claims processing, and most report investments meeting or exceeding ROI targets.
Conversely, solutions that add complexity, require extensive integration work, or fail to demonstrate a quick yield are being cut. With nearly 80% of acute provider organizations noting that AI won't reduce the friction or cost of switching EHRs, buyer preference continues to lean toward EHR-native capabilities and integrated suites over standalone apps.
The founder's blueprint: pitching ROI to a health system CFO
Health system CFOs and financial committees operate with extreme fiscal scrutiny. Pitching “improved provider satisfaction” or “soft capacity” is no longer enough—founders must present a mathematically defensible business case. Here is a four-step framework healthtech leadership teams can use to measure, build, and pitch their financial impact
Four steps, applied in order, from baseline metric to contract structure.
Step 1 — Establish the “single hard metric” baseline
Avoid pitching multi-variable transformations. Tie your software directly to one primary financial anchor: throughput and capacity (additional patient visits accommodated per provider, per day), revenue integrity (reduction in initial claim denials or missed charge captures), or labor cost avoidance (decreased reliance on premium overtime or agency staffing).
Step 2 — Separate “hard dollars” from “soft efficiency”
Health system CFOs inherently discount “hours saved” calculations, because administrative time saved doesn't automatically reduce payroll.
Soft value — secondary “Saves physicians two hours a day on clinical documentation.”
Hard value — primary “Converts two hours of saved documentation into 1.2 additional billable patient encounters per provider per day—$180 in incremental net patient revenue, daily.”
Step 3 — Apply the 60% utilization realism discount
Never present theoretical maximums. In financial models, assume only 50–60% of time saved converts into financial capture, due to operational friction, administrative buffer, and variance in staff adoption. A conservative 3x ROI based on a 50% capture rate carries far more executive credibility than an unvetted 10x pitch.
Step 4 — Structure a 90-day look-back
Risk aversion is the primary reason enterprise health system contracts stall. Structure pilot and early contracts around a 90-day look-back: define explicit, measurable financial KPIs upfront—such as a dollar reduction in denial write-offs or hours reduced in chart-completion turnaround—and offer a contractual path where software license fees scale down if the agreed baseline metrics aren't achieved.
Scaling through the shift
The current market isn't shrinking its appetite for digital transformation; it is maturing. Capital and executive buy-in are readily available, but they are concentrated in the hands of companies that solve real operational bottlenecks and prove their financial value early.
As executive advisors, our role is to help leadership teams align their
product roadmaps, GTM strategies, and financial models with this new reality.
The founders and companies that win this next era won't just build great AI—they will build scalable, high-yield businesses that healthcare operators can't afford to live without.
Let's talk about where your roadmap, GTM strategy, or financial model needs to meet this new reality.
Joe Sedlak, MBA, RN, BSN
Founder and Principal Advisor — Cornerstone Scale Advisory LLC
Email: joe@cornerstonegrowthllc.com
