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Platform reference · Relias

Relias captions: post-acute / long-term-care / behavioral-health LMS captioning

Relias is the dominant LMS for the post-acute and long-term-care side of US healthcare — skilled nursing facilities (SNFs), assisted living, home health, hospice, behavioral health (mental health, substance use disorder, behavioral analysis), intellectual and developmental disabilities (IDD / DD) providers, and the human-services networks that wrap them. Where Healthstream is the dominant LMS for hospital systems and the inpatient acute-care segment, Relias is the LMS for the outpatient, residential, in-home, and community-based segments — the segments under CMS State Survey Agency oversight, the segments accredited by CARF (Commission on Accreditation of Rehabilitation Facilities) and the Joint Commission's Behavioral Health Care accreditation programme, the segments inspected by state Department of Public Health licensing units. The captioning surface is conventional (caption-track upload at the asset level via SRT/VTT, SCORM 1.2 / SCORM 2004 / xAPI / AICC ingestion for authored content, multi-language support); the audit lens is more specific to the segment than for any other LMS. Glossary-biased upstream captioning — with the post-acute, long-term-care, and behavioral-health vocabulary surface as the project glossary — is what produces caption files clean enough to satisfy the audit lens that drives the training calendar in this segment.

TL;DR

Relias supports caption-track upload at the asset level via SRT and WebVTT for direct video assets in the Relias content library, plus SCORM 1.2 / SCORM 2004 / xAPI / AICC ingestion for content authored in Articulate Storyline, Rise 360, Adobe Captivate, Lectora, and iSpring with embedded captions in the published package. Multi-language caption tracks are supported on a single video asset via the language-tagged caption-track upload pattern. The technical caption upload is straightforward; the difficulty is upstream — the post-acute, long-term-care, and behavioral-health vocabulary surface (drug formularies for residents on polypharmacy, behavioral-health diagnoses, IDD / DD assessment instruments, CMS conditions of participation citations, state survey-and-certification regulation citations, CARF / Joint Commission BHC standards, OBRA / NHRA references) is dense, and ASR-generated captions mangle systematically. Glossary-biased captioning with the customer's controlled vocabulary as the project glossary is what produces caption files clean enough to satisfy the CMS State Survey Agency / CARF / Joint Commission BHC / state-licensing audit lens. The captioning provenance log per asset is the audit-evidence shape — particularly for the SNF F-tag pattern in the post-acute segment.

What Relias is, and where in the workflow captioning lands

Relias (formed by the merger of Silverchair Learning, Care2Learn, and Essential Learning, with subsequent product-line expansion) is a healthcare-segment LMS focused on the post-acute and behavioral-health segments. The captioning-relevant characteristics:

Captioning lands at three points in customer-authored Relias content: (1) direct video asset upload with sidecar caption file; (2) SCORM/xAPI/AICC content packaging where captions are embedded in the publish artefact; (3) external-hosted video referenced from a Relias content entry, where captions live with the host.

The Relias caption-upload mechanic

The vocabulary surface in post-acute / long-term-care / behavioral-health content

Relias customers concentrate vocabulary surfaces that are distinct from the inpatient acute-care surface dominant on Healthstream. Common patterns:

The audit-evidence shape: CMS State Survey, CARF, TJC BHC, state-licensing

Relias customers face several audit regimes simultaneously, with the post-acute and long-term-care segments carrying the densest survey-and-certification calendar in healthcare:

The captioning-provenance log per asset (caption source, glossary version, reviewer, review date, glossary term count, F-tag-or-standard relevance, assignment scope) is the audit-evidence shape. Where the asset is assigned to roles in F-tag-relevant content (clinical staff in F-684 quality-of-care training, dietary staff in F-812 food procurement and preparation, all staff in F-880 infection prevention and control), the captioning evidence rides in the customer's compliance-readiness packet.

The Relias-specific failure modes

The five caption-related findings most likely to surface during a CMS State Survey Agency review, a CARF survey, a Joint Commission Behavioral Health Care survey, an OCR HIPAA workforce-training file review, or a state-licensing inspection on a Relias-deployed catalogue:

  1. Customer-authored wrapper-content captions ASR-generated and uncorrected. The pre-built Relias catalogue ships with vendor-quality captions; customer-authored wrappers (often produced quickly to address a survey-finding remediation) frequently ship with auto-generated captions that mangle drug names, F-tag citations, and state-specific regulation citations. Surveyors observing the in-service catch the mangling. Fix: glossary-biased upstream captioning on every customer-authored asset, with the post-acute / behavioral-health glossary applied.
  2. Multi-language caption tracks missing on workforces serving non-English-speaking residents/clients. Home health, IDD / DD, and behavioral-health workforces serve linguistically-diverse populations; training video meant for the workforce is sometimes English-only when the workforce includes Spanish-, Vietnamese-, or Tagalog-speakers. WCAG SC 1.2.2 doesn't mandate multi-language but operational effectiveness does. Fix: per-language caption-track delivery as part of the deployment.
  3. F-tag-relevant content captioned but with mangled F-tag citations. A subtle failure mode: the caption track exists but the F-tag citation is mangled (F-684 transcribed as F-six-eight-four or as F-684A or as F-six-eighty-four). Surveyors notice; the caption-track-to-citation mismatch is an evidence-of-deficiency factor. Fix: F-tag citation register as a glossary input.
  4. Behavioral-health diagnostic codes mangled. ICD-10 F-codes (F30s, F32s, F33s, F40s, F41s, F60s, F70s, F80s, F90s) are letter-and-number patterns that ASR mangles consistently. CARF and Joint Commission BHC surveyors review the captioned training; mangled diagnostic codes are a fidelity gap. Fix: ICD-10 F-code register as a glossary input.
  5. State-specific regulation citations mangled. Each state's long-term-care regulations have state-specific citation patterns; multi-state SNF operators sometimes deploy a single English caption track that uses state-A's citation register on training shipped to state-B. State-survey-agency surveyors catch the mismatch. Fix: per-state citation register for multi-state operators.

The glossary-biased workflow for Relias-deployed customer content

  1. Pull the customer's controlled vocabulary. Drug formulary (with anticoagulants, antipsychotics, opioids, antidepressants, antiepileptics, insulin formulations as the high-mangle subset), F-tag register (or G-tag for home health / hospice), state-specific regulation citation register (per-state if multi-state), behavioral-health diagnostic code register (ICD-10 F-codes, DSM-5-TR), IDD / DD assessment instrument register, behavioral-analysis / behavioral-intervention vocabulary, dementia-care vocabulary, infection-prevention vocabulary, hospice-specific vocabulary, Joint Commission BHC standard register, CARF standard register, internal-acronym register.
  2. Caption the narration audio before importing into the authoring tool or before uploading to Relias. Generate clean SRT with the project glossary applied; bring the audio plus caption track into the authoring tool (Storyline, Rise, Captivate, Lectora, iSpring); for direct video asset upload, deliver the SRT alongside the MP4 to Relias.
  3. Multi-language pass. For workforces serving non-English-speaking residents / clients, per-language caption tracks with per-language glossary application.
  4. Clinical / behavioral-health / IDD / DD-specialist reviewer pass. Domain-expert review on glossary-applied terms. The amber-highlight UI shows source-line provenance. For F-tag-relevant content, the reviewer is the customer's compliance officer or director-of-nursing; for behavioral-health content, the licensed clinician overseeing the programme; for IDD / DD content, the qualified-intellectual-disability-professional (QIDP) or equivalent.
  5. Upload to Relias and verify in the player. For direct video asset upload, verify caption-track playback in the Relias player; for SCORM / xAPI / AICC content, verify in the Relias-rendered course.
  6. Document captioning provenance per asset. Caption source, glossary version, reviewer, review date, glossary term count, F-tag / G-tag / standard relevance, assignment scope, language tracks present — eight fields per asset. Lives in the per-asset metadata of the Relias content library or in a parallel compliance-readiness log.

See pricing

Relias-specific captioning RFP questions

Procurement teams running a captioning RFP for a Relias-deployed customer-authored catalogue will want to ask several Relias-specific questions. From our captioning RFP template:

How Relias captions intersect Section 508, ADA Title II, EAA, OCR HIPAA, and the post-acute audit landscape

Relias-deployed content typically faces the densest audit calendar in any LMS segment:

The technical caption requirement at WCAG SC 1.2.2 is consistent across the accessibility regimes; the segment-specific audit pressure is what makes the captioning-provenance log specifically valuable here. The F-tag / G-tag / standard relevance metadata per asset feeds the customer's compliance-readiness packet directly.

Related questions

Relias vs Healthstream — which LMS is the customer on?

Healthstream is dominant in the inpatient acute-care hospital segment; Relias is dominant in the post-acute, long-term-care, behavioral-health, and IDD / DD segments. Some health-system networks span both — a hospital system that also operates SNFs, home health, and behavioral-health programmes may have a Healthstream tenant for the hospital and a Relias tenant for the post-acute and behavioral-health programmes. The captioning workflow is the same in shape on both LMSes; the segment-specific vocabulary and audit-lens differ.

How do the pre-built Relias catalogue captions compare to customer-authored captions?

Relias's pre-built catalogue ships with vendor-grade captions — accurate enough for general drug / behavioral-health / regulatory vocabulary, with multi-language tracks on the highest-volume courses. Customer-authored wrapper content (often produced quickly for survey-finding remediation, state-specific updates, or operator-specific orientation) is where caption-quality gaps appear. The captioning workflow concern is the customer-authored content path, not the pre-built catalogue.

Can the captioning workflow handle CMS-required state-specific dementia-care training?

CMS's Megarule (final rule on long-term-care facilities) and the F-758 antipsychotic-prescribing rule plus state-specific dementia-care training mandates (in some states more than others) drive a high-volume of dementia-care training in the post-acute segment. The dementia-care vocabulary surface (Pioneer Network, Eden Alternative, Green House Project, Global Deterioration Scale, FAST, antipsychotic-prescribing constraints, the National Partnership to Improve Dementia Care, the BPSD register — behavioral and psychological symptoms of dementia) is a distinctive glossary input. The captioning workflow handles this surface as a glossary input alongside drug formulary and F-tag register.

How does the workflow handle behavioral-health crisis-intervention training (e.g., CPI, MAB, MAP, NCI)?

Behavioral-health and IDD / DD provider crisis-intervention training is a high-volume training category. The vocabulary surface is specific (CPI = Crisis Prevention Institute, MAB = Management of Aggressive Behavior, MAP = Management of Aggressive Patients, NCI = Nonviolent Crisis Intervention, Safety-Care, PMT = Physical Management Training, plus state-specific terminology around restraint-and-seclusion). Each curriculum has its own controlled vocabulary; the captioning workflow imports the curriculum vocabulary alongside the customer's controlled glossary.

Does Relias support multi-tenant captioning workflows for multi-state operators?

Relias's multi-organisation tenancy supports per-organisation policy and assignment scoping, with a parent organisation overseeing the deployment. The captioning workflow can deliver per-organisation caption-track variants (per-state citation registers, per-language tracks, per-organisation customisation) and upload them per-organisation. The per-asset metadata schema supports the captioning-provenance log per organisation per asset.

What about Relias's medical-staff competency-assessment surface?

Relias's medical-staff competency assessments and clinical-competency simulations are an adjacent surface to training video; the captioning surface for video components inside competency assessments uses the same caption-track upload mechanism as training video. Audit-relevance is high — competency-assessment evidence is among the first artefacts surveyors review.

Further reading