Vizier Six-Month Recap: What Healthcare Buyers Asked About Most

After 26 weeks of writing about healthcare analytics, the buyer questions cluster on five themes more than any others. The recap is partly retrospective, partly a roadmap for what we'll cover in H2 2026 and beyond.

Theme 1: “How do we connect this to our EHR without a 6-month IT project?”

The single most-asked question. The answer involves credential scope, IT review process, and which integration surface the vendor uses. We covered the Epic-specific version in Connecting Epic to a Third-Party Analytics Platform, but the general framework applies across all major EHRs. See connector list for what's available.

Theme 2: “How do we tell whether vendor AI claims are real?”

Closely behind connectors. Buyers ask the question more skeptically than they did in 2025 because they've been burned. The diligence framework that surfaces real capability vs marketing is in three questions to ask every AI analytics vendor. The conversational analytics analogue is why “natural language” means something different in a hospital.

Theme 3: “How do we get the CFO to approve this?”

CIOs and CMIOs ask this version. The CFO version is the inverse: “why should I approve this?” The four-question CFO conversation — displacement, payback, cancel cost, budget line — works for both audiences. See why CFOs block analytics purchases and the underlying three-number ROI framework.

Theme 4: “How do we make this audit-defensible?”

HIPAA, BAA, SOC 2, sub-processor management, breach notification windows. Healthcare buyers are sophisticated about security in 2026 in a way they weren't in 2022. The HIPAA audit framework and BAA negotiation posts surface the questions that distinguish mature vendors from immature ones.

Theme 5: “How do we make this work across multiple EHRs?”

Health systems that span Epic, Cerner / Oracle Health, athenaOne, MEDITECH, and the long tail face this question constantly. The answer involves a vendor-neutral analytics layer that connects to all of them. The Houston three-architecture post — Houston Methodist, MD Anderson, Memorial Hermann — illustrates the patterns that work.

What we got wrong

Two predictions from earlier in 2026 that look weaker now:

• Pace of MVP adoption. We expected MIPS Value Pathways to displace traditional MIPS faster than they have. The transition is happening but slower; MVP is the right call for many specialty practices but not yet a default.
• RPM scale rate. We expected RPM programs to scale faster post-2025 reimbursement clarification. The clinical staff capacity to support them is the bottleneck, not the analytics or billing.

What we got right

Two predictions that look stronger:

• The connector-first integration pattern is now default. Most new analytics conversations open with “which connectors do you have?” rather than “what file format do you accept?”
• AI sobriety arrived. Buyers ask sharper questions, vendors build stronger answers, marketing-led AI is losing deals.

What's next

The H2 2026 calendar will continue to focus on actionable analytics — connector implementation, mid-year intervention, year-end planning. The 2027 themes are starting to appear: deeper conversational interfaces, more sophisticated value-based contract analytics, AI governance becoming the default expectation.

See H2 2026 priorities for the immediate roadmap.