Clinical Laboratory Information Systems (LIS) buyer guide
Review the wider capability model, products, evaluation criteria and procurement questions for this category.
Home / Clinical Laboratory Information Systems (LIS) / Laboratory order management
Clinical Laboratory Information Systems (LIS) · Orders, Collection & Specimens
Laboratory order management
Receive, create, update or manage clinical laboratory test orders and associated workflow.
5 products evaluated3 supported0 partial / conditional2 not yet verified0 not supportedAvg evidence confidence 99%
Product support comparison
Recorded product facts are shown separately from buyer-specific recommendation scores. “Not yet verified” means evidence is incomplete; it does not mean the product lacks the capability.
| Product | Status | Confidence | Implementation | Evidence | Limitations / notes | Last verified |
|---|---|---|---|---|---|---|
EB Epic Beaker Epic Systems | Supported | 100% | Not recorded | 1 source | Epic documents Beaker Clinical Pathology managing laboratory orders and Epic interfaces for incoming and outgoing lab orders. | Sep 21, 2026 |
SL SCC Laboratory Information Systems Suite SCC Soft Computer | Supported | 100% | Not recorded | 1 source | SoftLab manages laboratory order entry and SoftLab 5.0 supports multi-technology ordering. | Sep 21, 2026 |
ML MEDITECH Laboratory MEDITECH | Supported | 98% | Not recorded | 1 source | MEDITECH Laboratory workflows span requisitioning through final reporting and its product portfolio includes laboratory order-management capabilities. | Sep 21, 2026 |
CU Cirdan ULTRA LIS Cirdan | Not Yet Verified | 0% | Not recorded | 0 sources | No limitation recorded. | Not recorded |
CW Clinisys WinPath Clinisys | Not Yet Verified | 0% | Not recorded | 0 sources | No limitation recorded. | Not recorded |
Buyer research paths
Use this capability as one requirement inside the wider category evidence model. The links below are research and comparison paths, not a product recommendation.
Software evidence benchmark
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Evidence methodology
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How to use this comparison
Support status
Supported, conditional, unknown and not-supported states are kept distinct so missing evidence is not treated as a negative fact.
Confidence
Confidence reflects the strength of the recorded evidence for this capability, not overall product quality.
Fit for your company
A product can strongly support this capability and still be a poor overall fit due to deployment, integrations, security, region, budget or other must-haves.
Independent software advice
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