AI Use or Development:
Natural Intelligence will Help Identify
and Understand the Issues
Copyright 2020 Katten. All rights reserved. Do not reproduce without permission.
Katten refers to Katten Muchin Rosenman LLP and the affiliated partnership as explained at katten.com/disclaimer.
Attorney advertising. Published as a source of information only. The material contained herein is not to be construed as legal advice or an opinion.
Healthcare Law & Compliance Institute March 2, 2020
Presented by:
W. Kenneth Davis, Jr., Partner
Cheryl Camin Murray, Partner
Katten | Confidential & Proprietary
• These materials should not be considered as, or as a substitute for, legal advice; and they are not intended to nor do they create an attorney-client relationship.
• Since the materials included here are general, they may not apply to your individual legal or factual circumstances.
• You should not take (or refrain from taking) any action based on the information you obtain from these materials without first obtaining legal counsel or professional advice.
• The views expressed in this presentation do not necessarily reflect those of the firm, or it lawyers, or its professionals or clients.
Disclaimer
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Katten | Confidential & Proprietary
• This presentation will cover:
— AI Background and AI in Healthcare
— Statutory, Regulatory and Common Law Requirements
— Ethical Concerns
— Reimbursement Matters
— Contractual Issues
— Torts and Private Causes of Action
— Antitrust issues
— Employment, Labor and Compliance Considerations
— Privacy and Security Risks
— IP Concerns
— Compliance Programs
Overview
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• What is Artificial Intelligence?
• Traced back to classical philosophers
• From Watson to Siri
AI Background
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• AI is used by:
—Payors
—Providers
—Life Science Companies
AI in Healthcare
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• Machine Learning
• Natural Language
• If-Then Rules
• Robots
• Robotic Process Automation
Types of AI in Healthcare
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You see AI in:
• Diagnosis of blood-borne bacterial infections
• EHR systems
• Big data analysis for diagnosing and treating
• Building prediction models
• Population health machine learning
• Augmentation or provision of physician services
AI Examples in Healthcare
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• Patient engagement and adherence
—Scheduling following-up visits, filling prescriptions, and complying with treatment plans
• Administrative applications
—Claims processing, claims audits, clinical documentation, and revenue cycle and medical records management
• Patient interactions
—Mental health, wellness, and telehealth
How AI Can Help
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Your perspective will vary:
—If you are “merely” an AI user
—If you are involved in the development of AI
How are You Encountering AI
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Statutory, Regulatory and
Common Law Requirements
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• Licensure, permits, registrations (federal and state)
• Other governmental approvals
• Corporate practice
Statutory, Regulatory and Common
Law Requirements (continued)
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• Accountability
• Transparency
• Consent
• Errors
Ethical Considerations
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• Payment for AI Services
• Revenue Cycle Management
• Billing and Collection
• Audits
Reimbursement
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• Expectations on services
• Representations and warranties
• Allocation of risk and indemnification
• Insurance requirements
• Changes in law
Contractual Exposure
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- Professional liability versus product liability exposure
- Mistakes
- Informed consent
Torts and Private Causes of Action
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• Sherman Act
• FTC Act
• Algorithmic Collusion
Antitrust
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• Restructuring workforce and independent contractors
• Benefits
• Workforce policies
• Workforce training
• Employment and independent contractor agreement considerations
• New employment litigation claims
• Labor unions
Employment and Labor Considerations
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• Confidential information
• HIPAA
• FTC and GDPR
• State privacy and security laws and regulations
• State medical record ownership laws
• Cybersecurity, privacy and security breaches
Privacy and Security Risks
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• Preserve or protect your intellectual property rights
—Patents
—Trademarks
—Copyrights
• Rights to use versus own the intellectual property
• Access to applicable data
Intellectual Property
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• Update compliance program policies and procedures
• Train
• Monitor
• Evaluate
Compliance Program
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Katten Locations
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Katten refers to Katten Muchin Rosenman LLP and the affiliated partnership as explained at katten.com/disclaimer.
Attorney advertising. Published as a source of information only. The material contained herein is not to be construed as legal advice or opinion.
Questions?
W. Kenneth Davis, Jr., Partner
Phone: 312.902.5573
Email: [email protected]
Cheryl Camin Murray, Partner
Phone: 214.765.3678
Email: [email protected]
Copyright 2020 Katten. All rights reserved. Do not reproduce without permission.
Katten refers to Katten Muchin Rosenman LLP and the affiliated partnership as explained at katten.com/disclaimer.
Attorney advertising. Published as a source of information only. The material contained herein is not to be construed as legal advice or an opinion.