Problem Definition
MediCore is a regional hospital network operating 8 hospitals across the U.S. Midwest with $2.4 billion in annual revenue. Over the past three years, MediCore has faced mounting pressure on two fronts. Patient satisfaction scores have fallen from the 58th percentile to the 35th percentile nationally, driven primarily by long wait times, billing errors, and poor communication between care teams. Simultaneously, operating margins have contracted from 6% to 2.5%, squeezing the network's ability to invest in facilities and recruit top clinical talent.
The CEO attributes both problems to fragmented, outdated technology systems. Each of MediCore's 8 hospitals runs a different electronic health record (EHR) system, scheduling is managed through a patchwork of phone-based and legacy software tools, and patients have no unified digital portal for accessing records, scheduling appointments, or communicating with providers. The CEO has proposed a $200 million digital transformation program encompassing six initiatives: EHR unification, a patient portal, AI-powered scheduling, a telehealth platform, revenue cycle automation, and predictive analytics for clinical operations.
Your consulting team has been engaged to evaluate whether this $200M investment is justified and, critically, to recommend which initiatives should be prioritized and in what sequence. Given MediCore's constrained margins, how should the hospital network approach this digital transformation to maximize both clinical and financial outcomes?
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If asked, please share that:
- MediCore's 8 hospitals range from 150 to 450 beds, totaling 2,200 beds across the network
- The network handles approximately 500,000 outpatient appointments per year and 85,000 inpatient admissions
- Current no-show rate for outpatient appointments is 18%, well above the 9% national average for digitally mature systems
- Billing error rate is 12%, generating $38 million in annual rework costs and delayed collections
- MediCore's payer mix is 45% commercial insurance, 35% Medicare, 15% Medicaid, 5% self-pay
- The $200M budget would be funded through a combination of operating cash flow ($60M over 3 years), a bond issuance ($100M), and a state health innovation grant ($40M)
- Two competing hospital networks in the region have already completed digital transformations and are gaining market share
Exhibit 3Peer Hospital Digital Maturity Comparison
| Metric | MediCore | Midwest Health (Competitor A) | Prairie Medical (Competitor B) | National Top Quartile |
|---|---|---|---|---|
| EHR Systems in Use | 5 different | 1 unified | 1 unified | 1 unified |
| Patient Portal Adoption | None | 62% of patients | 48% of patients | 71% of patients |
| No-Show Rate | 18% | 7% | 11% | 6% |
| Billing Error Rate | 12% | 3% | 5% | 2% |
| Telehealth % of Visits | 2% | 22% | 15% | 28% |
| Patient Satisfaction Percentile | 35th | 72nd | 58th | 85th |
| Operating Margin | 2.5% | 7.2% | 5.8% | 8.1% |
| IT Spend (% of Revenue) | 3.0% | 4.5% | 3.8% | 5.2% |
Data from latest CMS Hospital Compare and HIMSS Analytics surveys. Competitor A completed digital transformation 3 years ago; Competitor B completed 18 months ago.
Source: MediCore case file
Question 1Structuring
How would you evaluate whether MediCore should proceed with the $200M digital transformation investment?
Hint · Structuring
Build 3–4 branches that are specific to this client and question, not a generic framework. Check they don't overlap and together cover the problem.
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- Share the problem definition details above
- If the candidate asks, confirm that MediCore's current IT budget is $72M per year (3% of revenue), of which $55M goes to maintaining legacy systems
- The $200M is incremental to the existing IT budget
- MediCore's board requires any investment above $50M to demonstrate positive NPV within 7 years using an 8% discount rate
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A rigorous evaluation framework should cover four dimensions:
1. Financial Case
- a) Expected cost savings per initiative (labor, rework, no-show revenue recovery)
- b) Revenue uplift from reduced patient leakage to competitors and improved capacity utilization
- c) NPV and payback period against the board's 7-year, 8% hurdle
- d) Cost of inaction: what happens to margins and market share if MediCore does nothing?
2. Clinical and Patient Impact
- a) Which initiatives most directly improve patient satisfaction drivers (wait time, communication, billing)?
- b) Clinical quality effects: does EHR unification reduce medical errors or improve care coordination?
- c) Patient retention: how many patients are leaving MediCore for digitally mature competitors?
3. Implementation Feasibility
- a) Sequencing constraints: which initiatives depend on others being in place first?
- b) Organizational readiness: does MediCore have the IT talent and change management capability?
- c) Clinical workflow disruption: how much productivity loss during transition?
- d) Regulatory and compliance requirements (HIPAA, interoperability mandates)
4. Risk Assessment
- a) Technology risk: vendor selection, integration complexity, data migration
- b) Adoption risk: physician and staff resistance to new systems
- c) Financial risk: what if savings materialize more slowly than projected?
- d) Competitive risk: delay allows rivals to capture more patients permanently
What the interviewer is looking forShow guidanceHide guidance
A good candidate will organize their evaluation around financial returns, operational impact, and implementation risk. A strong candidate will recognize that the evaluation cannot treat the $200M as a single monolithic investment but must assess individual initiatives on their own merits. An excellent candidate will also consider sequencing dependencies, competitive urgency, and the cost of inaction.
Push back if the candidate jumps to a generic "build vs. buy" or IT strategy framework without tailoring to healthcare's unique constraints (regulatory compliance, clinical workflow disruption, patient safety).
Question 2Numeracy
Let us focus on one initiative. Calculate the annual financial impact of implementing the AI-powered scheduling system, which is expected to reduce the no-show rate from 18% to 8%.
Hint · Numeracy
Write the formula before you plug in numbers, keep units and zeros explicit, and sanity-check the order of magnitude at the end.
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- MediCore handles 500,000 outpatient appointments per year across 8 hospitals
- Current no-show rate: 18%
- Expected no-show rate after AI scheduling: 8%
- Average revenue per outpatient appointment: $350
- Not all recovered slots can be filled; assume 70% of recovered appointments are rebooked with other patients
- Variable cost per appointment (supplies, staff time): 40% of revenue
- The AI scheduling system costs $15M to implement and $3M per year to operate
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Step 1: Appointments recovered from no-show reduction
| Metric | Value |
|---|---|
| Total annual appointments | 500,000 |
| Current no-shows (18%) | 90,000 |
| Projected no-shows (8%) | 40,000 |
| Appointments recovered | 50,000 |
Step 2: Revenue from recovered appointments
- Not all 50,000 slots can be filled; 70% rebooking rate applies
- Rebooked appointments: 50,000 x 70% = 35,000
- Gross revenue recovered: 35,000 x $350 = $12.25M
Step 3: Net contribution from recovered appointments
- Variable cost per appointment: 40% of $350 = $140
- Contribution margin per appointment: $350 - $140 = $210
- Net contribution from rebooked appointments: 35,000 x $210 = $7.35M
Step 4: Total annual financial impact
| Component | Amount |
|---|---|
| Net contribution from rebooked appointments | +$7.35M |
| Annual operating cost of AI scheduling system | -$3.00M |
| Net annual benefit | +$4.35M |
Step 5: Payback period
- Implementation cost: $15M
- Annual net benefit: $4.35M
- Simple payback: $15M / $4.35M = 3.4 years
Reality check: $4.35M annual net benefit on a $2.4B revenue base represents only 0.18% of revenue. This is a meaningful but not transformative initiative on its own. Its real value is as a fast, low-risk win that demonstrates ROI and builds momentum.
What the interviewer is looking forShow guidanceHide guidance
The candidate should work through the math step by step. A common mistake is to assume all recovered no-show slots generate full revenue without netting out variable costs. A strong candidate will also note that the 70% rebooking rate is the critical assumption and discuss what drives it. An excellent candidate will compute a simple payback period on the $15M investment.
"So What?" Cascade:
- Level 1: No-show reduction saves $X million per year
- Level 2: This single initiative could fund a significant portion of the broader transformation
- Level 3: AI scheduling is a quick win that builds organizational confidence for harder initiatives like EHR unification
Question 3Judgement & Insights
Please review Exhibits 1 and 2. Based on the data, which digital initiatives should MediCore prioritize in the first 12 months, and which should be deferred?
Hint · Judgement & Insights
Read the exhibit title, axes and units first. Lead with the ‘so what’, then back it with one or two numbers.
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- Share Exhibits 1 and 2
- If asked: MediCore's IT team has 45 staff members; industry benchmarks suggest a major EHR migration requires 30-40 dedicated IT staff for 18-24 months
- Physician satisfaction is already low (42nd percentile); a disruptive EHR migration could trigger departures
- The state health innovation grant ($40M) expires if not deployed within 18 months
Exhibit 1Patient Satisfaction Drivers — NPS Impact Analysis
| Satisfaction Driver | MediCore Score (1-10) | National Avg (1-10) | Gap | Estimated NPS Impact (points) | Digital Solution |
|---|---|---|---|---|---|
| Wait time (scheduling to visit) | 4.2 | 7.1 | -2.9 | -18 | AI Scheduling |
| Billing accuracy and transparency | 4.8 | 7.5 | -2.7 | -14 | Revenue Cycle Automation |
| Provider communication and follow-up | 5.1 | 7.3 | -2.2 | -11 | Patient Portal |
| Access to medical records | 5.5 | 7.8 | -2.3 | -9 | Patient Portal + EHR |
| Facility quality and cleanliness | 7.4 | 7.6 | -0.2 | -1 | Not digital |
| Telehealth availability | 3.8 | 6.5 | -2.7 | -6 | Telehealth Platform |
NPS impact estimated via regression analysis of 12,000 patient surveys. Gap = MediCore score minus national average. Negative NPS impact indicates drag on MediCore's overall Net Promoter Score.
Source: MediCore case file
Exhibit 2Digital Initiative Comparison Matrix
| Initiative | Total Cost ($M) | Annual Savings ($M) | Implementation Time (months) | Risk Rating | Dependency |
|---|---|---|---|---|---|
| EHR Unification | 85 | 65 | 36 | High | Requires all other initiatives for full value |
| Revenue Cycle Automation | 25 | 15 | 8 | Low | None |
| Patient Portal | 20 | 8 | 12 | Medium | Benefits from Revenue Cycle Automation |
| AI-Powered Scheduling | 15 | 4.35 | 9 | Low | None |
| Telehealth Platform | 18 | 10 | 10 | Medium | Benefits from Patient Portal |
| Predictive Analytics | 12 | 7 | 15 | Medium | Requires unified data (EHR) |
Risk rating reflects implementation complexity, organizational change required, and probability of achieving projected savings. Savings are steady-state annual figures; ramp-up period of 6-12 months applies after go-live.
Source: MediCore case file
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Prioritization Framework:
Initiatives should be evaluated on four criteria: (1) time-to-value, (2) resource requirements relative to MediCore's capacity, (3) dependency on other initiatives, and (4) risk-adjusted ROI.
Tier 1 — Deploy in Months 1-12:
Revenue Cycle Automation — Strongest first move
- Fast payback: 1.7 years ($25M cost, $15M/year savings)
- Low implementation risk (mature technology, minimal clinical disruption)
- Directly addresses the $38M billing rework problem dragging margins
- Generates cash flow to fund subsequent initiatives
AI-Powered Scheduling — Quick win with proven ROI
- 3.4-year payback as calculated, with additional patient satisfaction uplift
- Addresses the single largest patient satisfaction driver (wait times, per Exhibit 1)
- Relatively low cost ($15M) and fast deployment (9 months)
- Builds organizational confidence in digital tools
Tier 2 — Deploy in Months 9-24:
Patient Portal — Deploy after revenue cycle automation
- Moderate ROI ($20M cost, $8M/year savings) but high patient satisfaction impact
- Depends on cleaner billing data from revenue cycle automation to avoid surfacing errors to patients
- Aligns with the grant timeline (deployable within 18 months)
Telehealth Platform — Expand access and capacity
- $18M cost with $10M/year in savings plus incremental revenue from expanded catchment
- Moderate implementation complexity; can run in parallel with portal development
Tier 3 — Deploy in Months 18-36:
Predictive Analytics — Foundation for clinical optimization
- $12M cost, $7M/year savings, but requires clean unified data to be effective
- Deploy after EHR unification begins to have reliable data feeds
EHR Unification — Deferred despite highest absolute savings
- $85M cost and 36-month timeline make it unsuitable as a first initiative
- Would consume the entire IT team, blocking all other projects
- The other five initiatives build the data standards, workflows, and organizational capability needed for successful EHR migration
- Should begin planning in Month 12, with implementation in Months 18-36
The key insight: EHR unification is the capstone, not the cornerstone, of MediCore's digital transformation.
What the interviewer is looking forShow guidanceHide guidance
This is the core judgment question. The exhibit trap is that EHR unification appears to have the best ROI on paper ($65M annual savings on $85M cost). However, the candidate must recognize three critical constraints that make it the wrong first move:
- Sequencing dependency: EHR unification requires standardized workflows and data governance. The patient portal and revenue cycle automation depend on a unified EHR, but the EHR migration itself benefits from having AI scheduling and predictive analytics in place first to minimize disruption.
- Resource constraint: EHR migration would consume nearly the entire IT team for 2+ years, blocking all other initiatives.
- Time-to-value: At 36 months to implement, EHR unification delivers no savings during the critical first 2 years when MediCore's margins are under acute pressure.
"So What?" Cascade:
- Level 1: EHR has the highest annual savings ($65M)
- Level 2: But it requires 36 months and $85M upfront, delivering nothing while margins continue to erode
- Level 3: Starting with quick wins (AI scheduling, revenue cycle automation) generates cash flow and organizational capability to execute EHR migration successfully in Phase 2
A good candidate will rank initiatives by ROI. A strong candidate will identify the sequencing trap and propose starting with faster-payback initiatives. An excellent candidate will build a coherent prioritization framework that weighs time-to-value, resource constraints, dependency chains, and risk.
Question 4Synthesis
Based on our analysis, please recommend a phased 3-year digital transformation roadmap for MediCore's CEO.
Hint · Synthesis
Answer first: the recommendation, two or three reasons with numbers, then risks and next steps.
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- No additional data. The candidate should synthesize prior answers.
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Recommendation: A phased "Quick Wins First" roadmap that generates early savings to fund the full transformation.
Phase 1 — Stabilize and Generate Momentum (Months 1-12)
| Initiative | Cost | Timeline | Expected Annual Savings |
|---|---|---|---|
| Revenue Cycle Automation | $25M | 8 months | $15M |
| AI-Powered Scheduling | $15M | 9 months | $4.35M |
| Phase 1 Total | $40M | $19.35M/year |
- Fund with the state grant ($40M, expiring in 18 months)
- Target: improve operating margin from 2.5% to 3.3% by end of Year 1
- Target: reduce billing errors from 12% to 5%; reduce no-shows from 18% to 8%
- Patient satisfaction: expect move from 35th to 45th percentile (wait times and billing are top two drivers per Exhibit 1)
Phase 2 — Expand Digital Capabilities (Months 9-24)
| Initiative | Cost | Timeline | Expected Annual Savings |
|---|---|---|---|
| Patient Portal | $20M | 12 months | $8M |
| Telehealth Platform | $18M | 10 months | $10M |
| EHR Unification (planning + vendor selection) | $5M | 6 months | — |
| Phase 2 Total | $43M | $18M/year |
- Fund with bond proceeds ($43M of $100M)
- Begin EHR vendor selection and data migration planning
- Target: patient satisfaction to 55th percentile; margin to 4.0%
Phase 3 — Foundational Transformation (Months 18-36)
| Initiative | Cost | Timeline | Expected Annual Savings |
|---|---|---|---|
| EHR Unification (implementation) | $80M | 24 months | $65M (at full run rate) |
| Predictive Analytics | $12M | 12 months | $7M |
| Phase 3 Total | $92M | $72M/year (at full run rate) |
- Fund with remaining bond ($57M) and Phase 1-2 cumulative savings ($25M+)
- EHR migration benefits from standardized workflows, clean data, and digital-literate staff developed in Phases 1-2
- Target: patient satisfaction above 60th percentile; margin to 5.5%+ by Year 4
Total investment: $175M (below the $200M budget, providing $25M contingency)
Cumulative annual savings at full run rate: $109M/year, implying a simple payback of under 2 years on the full investment once all initiatives reach steady state.
Key risks and mitigants:
| Risk | Mitigant |
|---|---|
| Physician resistance to new systems | Appoint clinical champions at each hospital; invest in training budgets |
| EHR migration disruption to patient care | Phased hospital-by-hospital rollout rather than big-bang; maintain legacy systems in parallel |
| Savings materialize slower than projected | Quick-win initiatives in Phase 1 provide a buffer; contingency reserve of $25M |
| IT talent shortage for execution | Partner with a systems integrator for EHR migration; hire 10-15 additional IT staff in Year 1 |
| Competitor acceleration during transition | Phase 1 quick wins improve patient experience within 12 months, slowing market share loss |
Contributed by CaseDrill practice community
What the interviewer is looking forShow guidanceHide guidance
A strong candidate will present a clear, time-bound plan with specific milestones, expected financial outcomes per phase, and risk mitigants. An excellent candidate will tie the roadmap back to MediCore's dual objectives (patient satisfaction and margin improvement) and show how early wins fund later, larger investments.
Push back on any recommendation that front-loads EHR unification without addressing the sequencing and resource constraints.