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Update databricks_solution_accelerators.md (#1190)
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activemenu: databricks_solution_accelerators
source: yes
source:
- title: Automated PHI Removal
- title: Medical Data Deidentification
id: automated_phi_removal
image:
src: /assets/images/Name_Entity_Recognition_on_Financial_Texts.svg
excerpt: Detect and protect sensitive patient data with NLP.
excerpt: Detect and protect sensitive data in tables document, free text documents and images.
actions:
- text: Databricks Notebook
type: normal
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id: oncology_real_world_data_extraction_nlp
image:
src: /assets/images/Recognize_ticker_alias_in_financial_texts.svg
excerpt: Transform unstructured oncology notes into novel patient insights.
excerpt: Transform unstructured oncology real world data extractions, pathology, and radiology into patient insights.
actions:
- text: Databricks Notebook
type: normal
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id: adverse_drug_event_detection
image:
src: /assets/images/Extract_Entities_from_Whereas_clauses.svg
excerpt: Monitor drug safety with real-world data and NLP.
excerpt: Monitor drug safety by detecting adverse events from real world data and NLP.
actions:
- text: Databricks Notebook
type: normal
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id: medicare_risk_adjustment
image:
src: /assets/images/Adverse_drug_events_tagger.svg
excerpt: Identify undiagnosed conditions for reimbursements.
excerpt: Identify undiagnosed conditions for reimbursement.
actions:
- text: Databricks Notebook
type: normal
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actions:
- text: Databricks Notebook
type: normal
url: https://www.databricks.com/solutions/accelerators/cohort-building
url: https://www.databricks.com/solutions/accelerators/cohort-building
- title: Building a RAG LLM Clinical Chatbot
id: building_rag_llm_clinical_chatbot
image:
src: /assets/images/Deidentify_free_text_documents.svg
excerpt: Deploy a healthcare specific, fully managed chat LLM.
actions:
- text: Watch Now
type: normal
url: https://www.youtube.com/watch?v=Q35kk-9opcw
- title: Clinical Notes Summarization
id: clinical_notes_summarization
image:
src: /assets/images/Clinical_Summarization_QA.svg
excerpt: Summarize different types of clinical documents using Large Language Models.
actions:
- text: Databricks Notebook
type: normal
url: https://www.databricks.com/solutions/accelerators/jsl-clinical-notes-summarization-using-llm
- title: Social Determinants of Health
id: social_determinants_health
image:
src: /assets/images/Social_Determinants_of_Health.svg
excerpt: Extract mentions of a patient's social determinants from free-text documents.
actions:
- text: Databricks Notebook
type: normal
url: https://www.databricks.com/solutions/accelerators/john-snow-labs-social-determinants-of-health
- title: Medical Knowledge Graph
id: medical_knowledge_graph
image:
src: /assets/images/Extract_Graphs_in_a_Text.svg
excerpt: Build patient cohorts by transforming unstructured documents into graphs.
actions:
- text: Databricks Notebook
type: normal
url: https://www.databricks.com/solutions/accelerators/cohort-building
---

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