Standard 17 — Enterprise & Multi-Site Governance
Criteria in this standard
17.2 — Incident Learning Is Genuinely Shared Across Sites, Not Siloed
17.3 — Clinical Policy Is Standardized Across Sites, With Any Local Variation Explicitly Justified
17.4 — Credentialing and Privileging Are Centrally Verified and Consistently Recognized
17.5 — Central Resource and Staffing Decisions Are Evaluated for Site-Level Patient Safety Impact
17.6 — Site-Level Quality Data Is Genuinely Reviewed by Central Governance
Governance Structure Defines Authority Between Central and Site-Level Leadership
Non-Negotiable
In plain terms: It’s written down, clearly, who decides what between the head office and each hospital — not an unwritten understanding that falls apart the moment a real decision needs making quickly.
| Applicability | Scope |
|---|---|
| Applies to | Organizations operating two or more hospital sites under shared governance |
Why this matters
An informal or assumed division of authority between central and site-level leadership can function adequately during routine operations, but genuinely breaks down exactly when it matters most — during an urgent decision where different people hold different assumptions about who actually has the authority to decide. A documented structure that site leadership can articulate clearly, rather than one that exists only as a policy document rarely consulted, provides considerably more real protection against the specific risk of a decision stalling, or being made by the wrong party, during a genuine time-sensitive situation.
What good looks like
- The division of authority is explicitly documented, not assumed or informal.
- Site leadership can clearly identify who holds authority for a specific decision type.
- A defined escalation path exists for genuinely unclear decision ownership.
Common failure modes
- Authority division exists informally, understood differently by different people.
- Site leadership can’t confidently identify decision ownership when asked directly.
- No defined escalation path exists for a genuinely ambiguous decision.
Worked example
If you are starting from zero — do this first
- Document an explicit decision-rights matrix between central and site-level leadership.
- Test whether site leadership can confidently articulate the division when asked.
- Build a defined escalation path for genuinely ambiguous decision ownership.
Self-assessment questions
Evidence: Decision-rights matrix
Evidence: Site leadership interview
Evidence: Escalation path documentation
Common reasons for a PARTIAL answer
- A matrix exists but hasn’t been actively communicated to all site leadership.
- Most decision types are covered but an escalation path for edge cases is missing.
Implementation plan
| When | What |
|---|---|
| Week 1 | Draft an explicit decision-rights matrix across major decision categories. |
| Week 2 | Communicate and verify understanding with site leadership. |
| Week 3 | Build a defined escalation path for ambiguous cases. |
| Ongoing | Review and update the matrix as the organization evolves. |
How the Monitor verifies this
| Method | What | Detail |
|---|---|---|
| ASK | Site leadership interview | Asks site leadership at more than one location to describe who holds authority for a specific decision type, checking for consistent answers. |
Evidence base
Incident Learning Is Genuinely Shared Across Sites, Not Siloed
Core
In plain terms: When something serious goes wrong at one hospital, the lesson genuinely reaches the other hospitals too — not stuck at the site where it happened as if the rest of the network has nothing to learn from it.
| Applicability | Scope |
|---|---|
| Applies to | Organizations operating two or more hospital sites under shared governance |
Why this matters
A multi-site network’s genuine advantage lies partly in the ability to learn once and apply that learning everywhere — an incident confined to the originating site, with no real process for reaching other locations, forfeits that advantage and leaves other sites exposed to a risk already identified and understood elsewhere in the same organization. A pattern that’s invisible when each site’s incidents are viewed in isolation can become genuinely visible once incidents are actually aggregated and reviewed at the network level, which is a distinct and additional value beyond single-site incident review.
What good looks like
- A defined process genuinely moves a serious incident’s lessons to other sites.
- Staff at other sites actually receive and register relevant incident learning.
- A pattern across multiple sites’ incidents gets identified and addressed network-wide.
Common failure modes
- Incident review and learning stay confined to the originating site.
- Learning is technically distributed but not genuinely received or absorbed elsewhere.
- Cross-site patterns go unidentified because incidents are reviewed only in isolation.
Worked example
If you are starting from zero — do this first
- Build a defined process for a serious incident to trigger network-wide review.
- Build an active dissemination step with confirmation of receipt at other sites.
- Build a periodic cross-site pattern review at the network level.
Self-assessment questions
Evidence: Cross-site incident learning process documentation
Evidence: Site leadership interview
Evidence: Network-level pattern review record
Common reasons for a PARTIAL answer
- Dissemination happens but receipt confirmation isn’t consistently tracked.
- Individual incidents are shared but a genuine pattern-level review doesn’t happen regularly.
Implementation plan
| When | What |
|---|---|
| Week 1 | Review current practice for cross-site incident communication. |
| Week 2 | Build a defined network-wide dissemination process with receipt tracking. |
| Week 3 | Build a periodic cross-site pattern review. |
| Ongoing | Apply the process to each new serious incident. |
How the Monitor verifies this
| Method | What | Detail |
|---|---|---|
| ASK | Cross-site interview | Asks clinical leadership at a site other than where an incident occurred to describe the learning that reached them, checking for genuine specificity. |
Evidence base
Clinical Policy Is Standardized Across Sites, With Any Local Variation Explicitly Justified
Core
In plain terms: The core rules for clinical care are genuinely the same across every hospital in the network — and if one site genuinely needs to do something differently, that’s written down and explained, not a quiet, unexplained gap from what the policy actually says.
| Applicability | Scope |
|---|---|
| Applies to | Organizations operating two or more hospital sites under shared governance |
Why this matters
A patient’s standard of care shouldn’t genuinely depend on which site within the same organization they happen to visit — unexplained drift between sites, where core clinical policy is nominally shared but actually followed differently at different locations, undermines the basic premise that a network provides a consistent standard. Permitted local variation can be entirely legitimate, reflecting genuine differences in site capability or patient population, but the critical distinction is between a documented, justified variation and silent, unexplained drift that nobody has actually examined or approved.
What good looks like
- Core clinical policies are genuinely standardized across sites.
- Any permitted local variation is explicitly documented and specifically justified.
- A periodic process checks that sites genuinely still follow the standardized policy.
Common failure modes
- Sites independently drift from shared policy without documentation or review.
- Variation exists but isn’t explicitly justified or formally approved.
- Standardization is assumed to persist without any periodic verification.
Worked example
If you are starting from zero — do this first
- Confirm core clinical policies are genuinely shared and current across sites.
- Build a formal variation-request process for any site-level deviation.
- Build a periodic audit comparing actual site practice against standardized policy.
Self-assessment questions
Evidence: Policy comparison across sites
Evidence: Variation-request record
Evidence: Periodic audit record
Common reasons for a PARTIAL answer
- A variation process exists but isn’t consistently used by every site.
- Periodic audits happen but aren’t consistently followed up when drift is found.
Implementation plan
| When | What |
|---|---|
| Week 1 | Compare current practice across sites for core clinical policies. |
| Week 2 | Build a formal variation-request and approval process. |
| Week 3 | Build a periodic cross-site policy adherence audit. |
| Ongoing | Apply the audit on a defined schedule and follow up on findings. |
How the Monitor verifies this
| Method | What | Detail |
|---|---|---|
| DOCUMENT | Cross-site policy comparison | Compares actual clinical practice at two or more sites against the standardized core policy for unexplained variation. |
Evidence base
Credentialing and Privileging Are Centrally Verified and Consistently Recognized
Non-Negotiable
In plain terms: A clinician’s credentials are checked once, centrally, done properly — and every site actually confirms, before that clinician practices there, that their credentials and privileges are current, rather than just assuming the central check automatically covers everywhere.
| Applicability | Scope |
|---|---|
| Applies to | Organizations operating two or more hospital sites under shared governance |
Why this matters
A single, centralized credentialing process, done properly, is considerably more reliable than independent, inconsistent verification repeated differently at each site — but centralization alone isn’t sufficient without each specific site also confirming current privileges before a clinician practices there, closing the real gap that can otherwise occur between central records and what’s actually happening at a given location. A privilege suspension at one site that fails to genuinely propagate to every other site where that clinician practices represents a serious, specific risk this criterion exists to prevent.
What good looks like
- Credentialing verification is genuinely centralized, not inconsistently repeated.
- Every site confirms a clinician’s current privileges before they practice there.
- A privilege change or suspension at one site genuinely propagates to all sites.
Common failure modes
- Credentialing is inconsistently verified or skipped at some sites.
- A site assumes central verification automatically covers their specific location.
- A privilege suspension at one site fails to reach other sites where the clinician practices.
Worked example
If you are starting from zero — do this first
- Build or confirm a single, centralized credentialing verification process.
- Require every site to confirm current status before a clinician practices there.
- Build a real-time propagation mechanism for any privilege status change.
Self-assessment questions
Evidence: Credentialing process documentation
Evidence: Site-level confirmation record
Evidence: Propagation test record
Common reasons for a PARTIAL answer
- Centralized verification exists but site-level confirmation isn’t consistently performed.
- Propagation of a status change relies on manual notification rather than a reliable system.
Implementation plan
| When | What |
|---|---|
| Week 1 | Review current credentialing consistency across all sites. |
| Week 2 | Build or confirm a centralized credentialing verification process. |
| Week 3 | Build a site-level confirmation requirement and propagation mechanism. |
| Ongoing | Test propagation periodically to confirm genuine function. |
How the Monitor verifies this
| Method | What | Detail |
|---|---|---|
| DOCUMENT | Credentialing system test | Tests whether a status change at one site is genuinely visible and actionable at another site in the network. |
Evidence base
Central Resource and Staffing Decisions Are Evaluated for Site-Level Patient Safety Impact
Core
In plain terms: Before the head office makes a decision affecting staffing or resources at a specific hospital, the actual patient safety impact at that hospital is genuinely considered — not a purely financial or operational decision made with no real input from the people who’d see the consequences.
| Applicability | Scope |
|---|---|
| Applies to | Organizations operating two or more hospital sites under shared governance |
Why this matters
A central resource decision made purely on network-level financial or operational grounds, without genuine consideration of the specific patient safety impact at an individual site, risks optimizing for the network as a whole while creating a real, serious gap at a specific location. Site-level clinical leadership holds genuine, specific knowledge about what a given resource reduction or reallocation would actually mean for patient safety at their site — knowledge that’s lost if that leadership is only informed after the decision has already been finalized, rather than having a real voice before it’s made.
What good looks like
- A documented process evaluates patient safety impact before a central decision is finalized.
- Site-level clinical leadership has a genuine voice in that evaluation beforehand.
- A real mechanism exists for a site to flag a concern and have it genuinely reconsidered.
Common failure modes
- Resource decisions are made on purely financial or operational grounds.
- Site leadership is informed of a decision only after it’s already finalized.
- A site’s flagged safety concern has no real avenue for reconsideration.
Worked example
If you are starting from zero — do this first
- Build a required patient safety impact evaluation step for central resource decisions.
- Build a formal site clinical leadership consultation step before finalization.
- Build a real escalation mechanism for a flagged safety concern.
Self-assessment questions
Evidence: Patient safety impact evaluation record
Evidence: Consultation record
Evidence: Escalation record
Common reasons for a PARTIAL answer
- An evaluation process exists but isn’t consistently applied to every central decision.
- Site leadership is consulted but the consultation often happens too late to genuinely influence the outcome.
Implementation plan
| When | What |
|---|---|
| Week 1 | Review current practice for site input on central resource decisions. |
| Week 2 | Build a required patient safety impact evaluation step. |
| Week 3 | Build a formal, timely site consultation and escalation mechanism. |
| Ongoing | Apply the evaluation to every central resource decision affecting a site. |
How the Monitor verifies this
| Method | What | Detail |
|---|---|---|
| DOCUMENT | Resource decision review | Reviews a recent central resource decision affecting a site for documented patient safety evaluation and site consultation before finalization. |
Evidence base
Site-Level Quality Data Is Genuinely Reviewed by Central Governance
Standard
In plain terms: Quality data from each hospital genuinely gets looked at by the people running the network, and when something looks wrong, something actually happens about it — not data flowing upward into a file nobody really examines.
| Applicability | Scope |
|---|---|
| Applies to | Organizations operating two or more hospital sites under shared governance |
Why this matters
Site-level quality data that flows upward into a central repository, but isn’t genuinely reviewed by anyone with authority to act on it, provides the appearance of oversight without the substance — the reporting requirement is technically satisfied, but the protective value central governance oversight is meant to provide doesn’t actually materialize. A concerning metric that goes unaddressed, because the review that would have caught it never genuinely happened, represents a specific, serious gap between what a network’s governance structure claims to provide and what it actually delivers for patients at an individual site.
What good looks like
- Site-level quality data is genuinely reviewed by central governance, not just archived.
- A concerning metric from a specific site triggers a genuine follow-through action.
- Central governance can cite a specific, recent example of acting on site-level data.
Common failure modes
- Quality data is collected and filed without a genuine review process.
- A concerning metric is noted but no actual follow-through action occurs.
- Central governance can’t cite a concrete, recent example of acting on site data.
Worked example
If you are starting from zero — do this first
- Build a defined, scheduled central governance review of site-level quality data.
- Set defined thresholds that require a documented follow-through action.
- Track follow-through actions to resolution, not just to initial acknowledgment.
Self-assessment questions
Evidence: Governance review schedule and minutes
Evidence: Follow-through action record
Evidence: Governance interview
Common reasons for a PARTIAL answer
- A review schedule exists but isn’t consistently followed in practice.
- Follow-through actions are initiated but not consistently tracked to resolution.
Implementation plan
| When | What |
|---|---|
| Week 1 | Review current central governance engagement with site-level quality data. |
| Week 2 | Build a defined, scheduled review process with concerning-metric thresholds. |
| Week 3 | Build a follow-through action tracking process through to resolution. |
| Ongoing | Apply the review on schedule and track outcomes. |
How the Monitor verifies this
| Method | What | Detail |
|---|---|---|
| ASK | Governance interview | Asks central governance for a specific, recent example of reviewing and acting on site-level quality data. |