DIRECTORY · GUIDES
Healthcare AI Buyer Guides
Use these guides when your team needs practical decision help before a pilot starts: what architecture choice is really being made, what to ask in the demo, and which guide matches the buyer question in front of you.
Which guide should you start with?
Read the evaluation guide when the team needs a framework for deciding whether the workflow, data boundary, and operating model justify a private deployment. Open guide 01 →
Read the cloud vs local guide when the steering team already knows the workflow and needs to understand the architecture trade-off clearly. Open guide 02 →
Read the AI scribe safety guide when the team needs a clear test plan for clinician review, stop conditions, escalation, and measurable pilot evidence. Open guide 03 →
Read the RFP-questions checklist when the team needs 30 specific questions across security, safety, integration, evidence, pricing, and vendor risk — each with the red flag to walk away from. Open guide 04 →
Use the interactive ROI calculator to compare labor-time value against vendor fees and against an on-prem capex + ops profile — anchored on the published evidence range (9.5% NEJM AI to ~2 hr/day vendor envelope). Open guide 05 →
Read the hallucinations-and-omissions reference for the npj Digital Medicine framework rates (1.47% / 3.45%), where the major errors cluster in the note (55% in current issues), the Whisper-layer story, and the six safeguards a safe pilot has to enforce. Open guide 06 →
Read the Canadian compliance hub for the layered PIPEDA + PHIPA + Quebec Law 25 + HIA picture, the five AI-specific compliance pressures, the 2026 amendments, and the decision tree for which constraint binds first on your specific deployment. Open guide 07 →
Use the healthcare AI glossary as the onboarding artifact when IT, clinical informatics, privacy, and procurement need to share definitions for ~70 terms across models, retrieval, healthcare standards, infrastructure, safety, and regulatory regimes — each cross-linked to the directory page where it shows up. Open guide 08 →
The healthcare AI FAQ covers the questions a steering committee asks before signing — HIPAA, PHIPA, Quebec Law 25, hallucination rates, ROI, vendor comparison, cloud vs on-prem, and what to do when a pilot goes sideways. Schema.org FAQPage markup means Google can surface these directly. Open guide 09 →
Read the hardware sizing guide for the three reference architectures (pilot ~$5K / department ~$30K / hospital ~$120K), GPU-by-GPU trade-offs, workflow-by-workflow throughput budgets, and the power, cooling, and storage assumptions that hide outside the GPU line item. Open guide 10 →
Interactive 3-year cost-of-ownership comparison: cloud vendor fees (with annual escalation) against on-prem CapEx + power + ops FTE + maintenance + depreciation. Computes break-even month and a year-by-year cumulative table. Nothing leaves your browser. Open guide 11 →
The canonical pilot playbook — three phases, weekly cadence, written stage gates, the four decision-rubric questions, stop conditions, and the one-page governance memo template. The playbook Moneli Automation uses with steering committees. Open guide 12 →
The privacy-officer-specific evaluation guide — the seven artifacts a defensible review produces, vendor attestation vs contractual commitment, the Canadian provincial overlay, the three veto patterns, and the vendor patterns that consistently produce a defensible review. Open guide 13 →
The Epic integration deep dive — four tiers from copy-paste to full Pal-program partner, which vendors sit where, what the Pal program signals, and which questions to ask about Haiku / Limerick / In Basket write-back. Open guide 14 →
AI scribe integration outside Epic — Oracle Health (Cerner), Meditech, athenahealth, eClinicalWorks, AllScripts, NextGen, and the Canadian Oscar-Pro / Junos story. Which vendors integrate at what depth, and when the on-prem alternative is the easier path. Open guide 15 →
The buyer-side primer on agentic AI in healthcare — what it actually is (assistant vs copilot vs agent), where it is safely deployable today, where it isn't yet, and the four governance controls every agentic deployment ships with. Open guide 16 →
Case-study-driven analysis: five named failure cases (Epic sepsis model, COVID imaging, automation bias, vendor sprawl, data readiness) plus five patterns that decide which pilots scale. The signs to recognize at week 4-6 of a pilot. Open guide 17 →
CMIO, CIO, digital health, privacy, and operational leaders trying to separate a workflow win from a governance problem.
Each guide explains when on-prem or private deployment is a technical requirement rather than a preference.
Rubrics, demo questions, pilot design notes, and buyer-oriented comparisons instead of vendor marketing claims.
Start with the core buyer guides
A practical framework for deciding whether the workflow, data boundary, and operational model all justify a local or private deployment. Read guide →
A hospital-leadership guide to the real trade-off: speed-to-pilot and packaged workflow value versus residency, auditability, and stack reuse across future clinical use cases. Read guide →
A buyer guide for designing a safe ambient documentation pilot with explicit review steps, stop conditions, and evidence that matters to operational and clinical leaders. Read guide →
What these guides are for
- checkTranslate architecture choices into buyer language the steering committee can evaluate.
- checkHelp teams structure a pilot around one measurable workflow instead of a vague platform discussion.
- checkGive Moneli Automation a shared checklist to use when qualifying a WalledCare pilot.