Reported impact
Business outcome
Clinical documentation. Documenting a single conversation between a patient and the medical team can take a human more than 20 minutes.
- Cost Reduction
- Productivity Improvement
- Risk Reduction
OpenAIFinancial ServicesCustomer Service AutomationDocument ProcessingAI and Machine LearningGenerative AI / LLMCost ReductionProductivity ImprovementRisk Reduction2024 OpenAIOA#10a37fFinancial ServicesNorth AmericaThe healthcare industry is notoriously complex. Oscar Health, a healthcare technology company, believes in leveraging technology and data to serve patients at every step of their care.Clinical documentation. Documenting a single conversation between a patient and the medical team can take a…Mar 28, 20246Customer Service Automation|Document ProcessingGPT-4 · OpenAI API0 2024-03-28 6
Oscar
Customer Service Automation · Document Processing
The healthcare industry is notoriously complex. Oscar Health, a healthcare technology company, believes in leveraging technology and data to serve patients at every step of their care.
Clinical documentation. Documenting a single conversation between a patient and the medical team can take a human more than 20 minutes.
The claims assistant has reduced the time it takes for the claims processing team to resolve escalations by 50%, with accuracy on par or better than human agents. Oscar expects to automate...
Solution
The healthcare industry is notoriously complex. Oscar Health, a healthcare technology company, believes in leveraging technology and data to serve patients at every step of their care. "Language models were the first time we thought, you can translate the messiness of the real world into a clear digitized plan," said Mario Schlosser, Co-Founder & Chief Technology Officer of Oscar. For Oscar, it was a clear decision to partner with OpenAI. "We benchmark all the major models on a regular basis, with proprietary datasets for healthcare-specific use cases," explained Nikhita Luthra, Senior Product Manager and AI R&D Lead at Oscar. "The OpenAI models consistently perform the best."
Data flow
Clinical documentation. Documenting a single conversation between a patient and the medical team can take a human more than 20 minutes.
Solution architecture
- Compute
- OpenAI API Embeds model capabilities inside the customer’s application or internal workflow.
- GPT-4 Provides the reasoning layer used to generate and evaluate outputs.
Architecture clues
- Clinical documentation.
- Embeds model capabilities inside the customer’s application or internal workflow.
- For Oscar, it was a clear decision to partner with OpenAI.
- Provides the reasoning layer used to generate and evaluate outputs.
- The healthcare industry is notoriously complex.
Evidence from the source
"Language models were the first time we thought, you can translate the messiness of the real world into a clear digitized plan,"
"The OpenAI models consistently perform the best."
"We benchmark all the major models on a regular basis, with proprietary datasets for healthcare-specific use cases,"
The healthcare industry is notoriously complex.
Transparency Evidence & methodology
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
How scores are calculated
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Customer reference value85/100
- Problem clarity20/20Measures whether the customer's operational problem is specific enough to compare.
- Implementation depth20/25Rewards named components, data flow, integrations, and architecture detail.
- Outcome specificity20/20Measures whether the reported benefit is concrete rather than a generic claim.
- Quantified impact25/252 metrics describe measurable impact.
- Deployment scale0/10Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence89%
- Source authority20/25The main evidence is an official vendor-published customer story.
- Claim traceability21/2510 of 12 key fields link to a named source.
- Direct evidence20/204 direct source quotes retained.
- Date provenance10/10The publication date comes from the source page or publisher.
- Source transparency8/101 source reference document publisher, URL, authority, retrieval, and supported fields.
- Implementation specificity10/10Rewards source-backed components, data flow, quantified impact, and a specific outcome.
Traceability
Sources & provenance
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
- https://openai.com/index/oscar/OpenAIFirst-party
Oscar customer story
Supports- Customer
- Business problem
- Solution
- Products
- Solution components
- Data flow
- Integrations
- technical area
- use case category
- Business outcome
- outcome category
- Metrics
- Architecture
- evidence quotes
- Publication date
Date evidence
- Published on source page Mar 28, 2024 · OpenAI · First-partyOpen date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.
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