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AI for Enhancing Healthcare Efficiency with Glean

AI for Enhancing Healthcare Efficiency with Glean

Artificial Intelligence

Gather

Dec 19, 2025

In a contemporary medical office, healthcare professionals work together using a laptop that showcases data analytics, demonstrating AI's role in enhancing healthcare efficiency.
In a contemporary medical office, healthcare professionals work together using a laptop that showcases data analytics, demonstrating AI's role in enhancing healthcare efficiency.

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Why Efficiency is a Global Clinical Safety Concern

Administrative burdens are common everywhere; automation results in measurable savings. The CAQH Index suggests that digitizing and automating complex U.S. transactions could save over $15 billion annually, primarily by eliminating manual steps related to eligibility, status, and authorization.

Meanwhile, policy changes are gaining momentum: the CMS Interoperability & Prior Authorization Final Rule establishes API and turnaround time requirements (standard prior authorization in 7 days; 72 hours for expedited) with significant deadlines in 2026–2027 for affected payers—prompting process redesign now.

Worldwide, the adoption of digital health remains a top priority across regions (EU/WHO), but capacity limitations mean tools that reduce administrative friction have a substantial impact.

Where AI Provides the Most Benefit (and How Glean Fits In)

1) Knowledge Flow in Work (Search + Assistant)

Medical professionals and administrative teams waste time searching for policies, payer bulletins, referral and prior-auth steps, and runbooks. Glean indexes approved sources (SharePoint/Google Drive/Confluence; ServiceNow/Salesforce/Zendesk) and delivers permission-aware answers with references in Teams/Slack and ticket sidebars—reducing escalations and response times.

2) Fewer Avoidable Denials (Agents + Revenue Cycle Checks)

Many denials result from documentation gaps and policy inconsistencies. AI agents can pre-check draft claims against payer rules, highlight missing elements, and route complex cases for human review—improving clean-claim rates and cash flow. CAQH’s data highlights the financial benefits of automating these transactions.

U.S. Context: Align pre-submission checks to CMS prior-auth and attachment workflows so providers aren’t hindered by the 7-day/72-hour timelines as APIs are deployed.

3) Staff Self-Service and Service Operations

From IT/HR inquiries to facilities and schedule questions, AI reduces repetitive queries and speeds up triage, allowing clinicians to spend more time on patient care.

Security, Privacy, and Regional Compliance (Board-Ready)

  • Foundational Controls: Glean publishes security practices and certifications (SOC 2 Type II, ISO 27001) and states compliance with HIPAA and GDPR, ensuring results respect source access with permission-mirroring.

  • United States (HIPAA): Consider Business Associate agreements, map safeguards to Privacy/Security Rules, and monitor the 2025 NPRM proposing stricter controls (e.g., MFA, encryption, incident response).

  • Canada (PHIPA/PIPEDA): For Ontario providers/insurers, PHIPA AMPs are now applicable; PIPEDA is applicable to private-sector personal information processing nationwide—align audit trails and consents.

90-Day Rollout (Global Pattern You Can Localize)

Phase 1 — Foundation (Weeks 1–3)

  • Prioritize journeys: top denial reasons, top prior-auth procedures, top 50 staff queries.

  • Connect core sources (M365/SharePoint, Confluence, ServiceNow, Salesforce, Zendesk).

  • Enable citations and permission sync; define retention/telemetry behaviors per region.

Phase 2 — Assist In-Flow (Weeks 4–8)

  • Deploy the assistant in Teams/Slack and ticket sidebars.

  • Launch two agents: (1) prior-auth checklist builder; (2) claim/charge pre-submission audit. Track clean-claim %, interactions per claim, and turnaround.

Phase 3 — Govern & Scale (Weeks 9–12)

  • Adopt an “AI Formulary”: approved prompts, data sources, exception pathways.

  • Map evidence to HIPAA/PHIPA/PDPL artifacts and—where relevant—CMS prior-auth reporting.

Example Impact by Workflow

Area

Common Friction

AI Approach

Expected Impact

Prior Authorization (U.S.)

Fragmented payer rules, missing documents

Agent compiles payer-specific checklists; validates packages before submission

Faster scheduling, fewer returns. cms.gov+1

Coding & Claims

Late discovery of errors

Pre-submission scan vs. rules; route complex cases

Higher clean-claim rate, less rework. caqh.org

Staff Self-Service

Policy searching, facility/IT inquiries

Permission-aware answers in Teams/Slack/portal with source references

More time for care; fewer tickets. docs.glean.com

FAQs

How does AI streamline healthcare operations?
By reducing search time and automating routine checks. Staff receive trusted answers on-the-spot, while agents validate authorizations and claims in advance—freeing up capacity for patient care. docs.glean.com+1

What role does AI play in reducing denials?
Most denials are due to documentation and policy inconsistencies. AI agents identify gaps before submission and conform to payer rules, enhancing clean-claim rates and speeding up reimbursement. caqh.org

Is AI adoption secure in healthcare settings?
Absolutely—when accompanied by strong controls. Glean documents SOC 2/ISO practices and aligns with HIPAA/GDPR, while regional laws (PHIPA, PDPL) demand auditable access and governance with evidence. LawNow+3Glean+3Glean+3

Summary

Throughout regions, the quickest gains are administrative: access the right information on-the-spot, avoid unnecessary denials, and diminish repetitive queries. Glean’s Work AI platform achieves these goals with permission-aware search, assistants, and targeted agents—encompassed within controls that compliance teams can verify under HIPAA/PHIPA/PDPL. Ready to customize a rollout? Let’s talk.

Why Efficiency is a Global Clinical Safety Concern

Administrative burdens are common everywhere; automation results in measurable savings. The CAQH Index suggests that digitizing and automating complex U.S. transactions could save over $15 billion annually, primarily by eliminating manual steps related to eligibility, status, and authorization.

Meanwhile, policy changes are gaining momentum: the CMS Interoperability & Prior Authorization Final Rule establishes API and turnaround time requirements (standard prior authorization in 7 days; 72 hours for expedited) with significant deadlines in 2026–2027 for affected payers—prompting process redesign now.

Worldwide, the adoption of digital health remains a top priority across regions (EU/WHO), but capacity limitations mean tools that reduce administrative friction have a substantial impact.

Where AI Provides the Most Benefit (and How Glean Fits In)

1) Knowledge Flow in Work (Search + Assistant)

Medical professionals and administrative teams waste time searching for policies, payer bulletins, referral and prior-auth steps, and runbooks. Glean indexes approved sources (SharePoint/Google Drive/Confluence; ServiceNow/Salesforce/Zendesk) and delivers permission-aware answers with references in Teams/Slack and ticket sidebars—reducing escalations and response times.

2) Fewer Avoidable Denials (Agents + Revenue Cycle Checks)

Many denials result from documentation gaps and policy inconsistencies. AI agents can pre-check draft claims against payer rules, highlight missing elements, and route complex cases for human review—improving clean-claim rates and cash flow. CAQH’s data highlights the financial benefits of automating these transactions.

U.S. Context: Align pre-submission checks to CMS prior-auth and attachment workflows so providers aren’t hindered by the 7-day/72-hour timelines as APIs are deployed.

3) Staff Self-Service and Service Operations

From IT/HR inquiries to facilities and schedule questions, AI reduces repetitive queries and speeds up triage, allowing clinicians to spend more time on patient care.

Security, Privacy, and Regional Compliance (Board-Ready)

  • Foundational Controls: Glean publishes security practices and certifications (SOC 2 Type II, ISO 27001) and states compliance with HIPAA and GDPR, ensuring results respect source access with permission-mirroring.

  • United States (HIPAA): Consider Business Associate agreements, map safeguards to Privacy/Security Rules, and monitor the 2025 NPRM proposing stricter controls (e.g., MFA, encryption, incident response).

  • Canada (PHIPA/PIPEDA): For Ontario providers/insurers, PHIPA AMPs are now applicable; PIPEDA is applicable to private-sector personal information processing nationwide—align audit trails and consents.

90-Day Rollout (Global Pattern You Can Localize)

Phase 1 — Foundation (Weeks 1–3)

  • Prioritize journeys: top denial reasons, top prior-auth procedures, top 50 staff queries.

  • Connect core sources (M365/SharePoint, Confluence, ServiceNow, Salesforce, Zendesk).

  • Enable citations and permission sync; define retention/telemetry behaviors per region.

Phase 2 — Assist In-Flow (Weeks 4–8)

  • Deploy the assistant in Teams/Slack and ticket sidebars.

  • Launch two agents: (1) prior-auth checklist builder; (2) claim/charge pre-submission audit. Track clean-claim %, interactions per claim, and turnaround.

Phase 3 — Govern & Scale (Weeks 9–12)

  • Adopt an “AI Formulary”: approved prompts, data sources, exception pathways.

  • Map evidence to HIPAA/PHIPA/PDPL artifacts and—where relevant—CMS prior-auth reporting.

Example Impact by Workflow

Area

Common Friction

AI Approach

Expected Impact

Prior Authorization (U.S.)

Fragmented payer rules, missing documents

Agent compiles payer-specific checklists; validates packages before submission

Faster scheduling, fewer returns. cms.gov+1

Coding & Claims

Late discovery of errors

Pre-submission scan vs. rules; route complex cases

Higher clean-claim rate, less rework. caqh.org

Staff Self-Service

Policy searching, facility/IT inquiries

Permission-aware answers in Teams/Slack/portal with source references

More time for care; fewer tickets. docs.glean.com

FAQs

How does AI streamline healthcare operations?
By reducing search time and automating routine checks. Staff receive trusted answers on-the-spot, while agents validate authorizations and claims in advance—freeing up capacity for patient care. docs.glean.com+1

What role does AI play in reducing denials?
Most denials are due to documentation and policy inconsistencies. AI agents identify gaps before submission and conform to payer rules, enhancing clean-claim rates and speeding up reimbursement. caqh.org

Is AI adoption secure in healthcare settings?
Absolutely—when accompanied by strong controls. Glean documents SOC 2/ISO practices and aligns with HIPAA/GDPR, while regional laws (PHIPA, PDPL) demand auditable access and governance with evidence. LawNow+3Glean+3Glean+3

Summary

Throughout regions, the quickest gains are administrative: access the right information on-the-spot, avoid unnecessary denials, and diminish repetitive queries. Glean’s Work AI platform achieves these goals with permission-aware search, assistants, and targeted agents—encompassed within controls that compliance teams can verify under HIPAA/PHIPA/PDPL. Ready to customize a rollout? Let’s talk.

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Generation
Digital

Canadian Office
33 Queen St,
Toronto
M5H 2N2
Canada

Canadian Office
1 University Ave,
Toronto,
ON M5J 1T1,
Canada

NAMER Office
77 Sands St,
Brooklyn,
NY 11201,
USA

Head Office
Charlemont St, Saint Kevin's, Dublin,
D02 VN88,
Ireland

Middle East Office
6994 Alsharq 3890,
An Narjis,
Riyadh 13343,
Saudi Arabia

UK Fast Growth Index UBS Logo
Financial Times FT 1000 Logo
Febe Growth 100 Logo (Background Removed)


Business No: 256 9431 77
Terms and Conditions
Privacy Policy
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