Reduce the manual coordination behind supplies, approvals, substitutes, and stockouts.
xGold helps healthcare supply chain teams automate the repeatable follow-up around PAR exceptions, backorders, distributor notices, requisition approvals, substitute review, contract compliance, and documentation while keeping auditability and clinical judgment intact.
Daily reality
Supply issues cross clinical and purchasing boundaries.
A backorder can touch PAR locations, preference cards, contracts, value analysis, requisitions, distributor portals, and a nurse manager before it is truly resolved.
System footprint
The record lives across MMIS, ERP, and care context.
The work crosses Workday, Lawson, PeopleSoft, Coupa, GHX, Epic, Oracle Health, MEDITECH, ServiceNow, SharePoint, Omnicell, PAR Excellence, and distributor portals.
Automation wedge
Start with auditable exceptions.
Aging requisitions, missing cost centers, backorder notices, substitute approvals, contract mismatches, and stockout-risk queues are concrete enough to automate safely.
Humans
The Clinical Accountability Layer
Human-owned work
Clinical substitution approval and patient-care-sensitive supply decisions
Value analysis, compliance, budget, contract, and physician-preference exceptions
Vendor escalation for unresolved backorders, allocation issues, or service failures
Policy decisions when automation should stop for infection control, sterile processing, or procedure impact
xGold Design Rule
Healthcare supply chain teams should approve risk. They should not manually assemble item, vendor, contract, PAR, inventory, clinical-area, and approval context for every routine exception.
Aging requisition, missing cost center, approval-latency, and contract mismatch triggers
Item, UOM, vendor, contract, GL, cost center, and formulary/preference validation
Required-document, substitute-approval, and evidence checklist checks
ERP/MMIS, GHX, ServiceNow, inventory, and repository writebacks
xGold Design Rule
Use scripts for controls that must be consistent every time. Use agents for the messy language around distributor updates, substitutes, value-analysis notes, and documentation gaps.
Data & Systems
The Audit Trail Layer
System-owned truth
Requisition, PO, item, UOM, vendor, contract, GL, and cost center records
Inventory, PAR, preference-card, distributor, backorder, allocation, and shipment status
Clinical area, substitute, value-analysis, approval, and policy context
Resolution notes, documents, audit trail, and compliance evidence
xGold Design Rule
If an exception was resolved but the record does not show who approved it, why, which item/substitute was used, and where the evidence lives, the automation did not finish the job.
SScript routes by urgency, category, department, contract status, and approval rules
HMaterials or clinical owner approves patient-care-sensitive substitutions
Purchase Approval Follow-Up
STrigger fires for aging requisitions, missing cost center, invalid GL, approval stall, or contract mismatch
AAgent drafts the right follow-up with item, vendor, requester, department, and policy context
DApproval status and notes return to ERP/MMIS, procurement queue, or ServiceNow task
HManager resolves exceptions involving budget, compliance, value analysis, or substitution risk
Distributor & Vendor Updates
AAgent reads distributor emails, order acknowledgements, backorder notices, allocation notices, and portal exports
SScript links notices to item, PO, PAR location, department, delivery need, and contract status
DERP/MMIS, GHX, shared trackers, and service desk queues update automatically
HBuyer handles unresolved shortages, vendor escalation, or substitute approval path
Documentation & Audit Readiness
SChecklist runs for required documents, approvals, item data, UOM, vendor details, and contract evidence
AAgent summarizes gaps, decision history, substitute rationale, and evidence for review
DRecords are attached to ERP/MMIS, contract repository, ticketing system, or SharePoint evidence folder
HCompliance or value-analysis owner approves exceptions before closeout
Healthcare Supply Chain Task
Best Handled By
Why
Typical Integration
Aging requisition, missing cost center, or invalid GL detection
Script
Status, age, and field-completeness thresholds are deterministic
ERP/MMIS → approval queue
Backorder, allocation, or substitute notice interpretation
AI Agent
Distributor notices are unstructured and vary by supplier
Email/portal export → item queue
Clinical substitution or preference-card decision
Human
Patient-care, physician preference, and compliance risk require accountable review
Supply chain alert → clinical owner
Contract, item, UOM, and vendor data validation
Script
Field completeness and matching rules should be repeatable
ERP, GHX, contract repository
Resolution audit trail
Data & Systems
Every exception needs a searchable record of action, approval, and evidence
ERP/MMIS, ServiceNow, SharePoint
01
Auditability is part of automation.
Every resolution needs evidence, owner, approval, and system writeback in Workday, Lawson, PeopleSoft, Coupa, GHX, or ServiceNow.
02
Clinical risk stays human.
Agents can summarize substitute options, PAR impact, and contract context. Humans approve care-sensitive substitutions and policy exceptions.
03
Distributor notices should become routed work.
Backorders from Cardinal Health, Medline, McKesson, or portal exports should trigger owner-specific action, not inbox scanning.
04
Approval latency is measurable supply risk.
Aging requisitions, missing cost centers, invalid GLs, and contract mismatches should be visible, routed, and resolved before they create stockout exposure.
05
Clinical context changes priority.
Epic, Oracle Health, MEDITECH, preference-card, and department context can route supply exceptions differently when clinical impact is higher.
06
Do not automate around bad item records.
Item, UOM, vendor, contract, cost-center, and substitute gaps should be corrected in the source system, not patched downstream.
Start here
Bring one item exception, approval queue, or backorder workflow.
We will map the trigger, approval rules, clinical risk boundary, and baseline metric.