The 21st Century Cures Act became law in 2016. It aims to speed up medical research and make it easier for patients to get their health information. One main part of the law is to encourage electronic health records (EHRs) to work well together. This means patient data must be shared safely and smoothly across different healthcare systems.
For medical practices, this law sets new rules for how patient data is stored and shared, especially with patients. Patients now have more rights to see their health information online and without long delays. The law stops “information blocking,” which is when providers or software makers stop data sharing on purpose for money or competition reasons.
Administrators need to update their EHR systems to meet these rules. They must update software, train staff, and work with vendors who meet federal standards. If they do not comply, they can face penalties or get less money from Medicare and Medicaid.
The Cures Act also talks about the use of AI and digital health tools in patient care. New digital tools must be clear and follow privacy rules while helping doctors make good decisions.
The Inflation Reduction Act passed in 2022. It mainly focuses on lowering drug prices and costs for Medicare patients. The law helps reduce the amount patients pay for medicines. Healthcare providers should know how this may affect billing and payments.
This act encourages price negotiations for some expensive drugs under Medicare. Hospitals and clinics may need to manage their drug lists and explain costs to patients clearly. Practice administrators should make sure billing is clear and that patients understand their costs.
The law also tries to control overall healthcare cost increases. This can affect insurance prices and how providers get paid. Although not a billing rule, knowing these changes helps practices plan for patient payments and manage their income.
Starting January 1, 2022, the No Surprises Act is a law that stops unexpected medical bills from out-of-network providers. This affects providers, hospitals, and insurance companies. It changes how billing and payment disputes are handled.
What is Surprise Billing?
It happens when a patient gets emergency care or treatment at a hospital in their insurance network but is treated by an out-of-network provider. The patient then faces bills for the amount insurance does not cover, often costing a lot.
The law bans surprise bills in many cases. It:
Healthcare administrators must be more open about billing and paperwork. Billing teams must work with insurance plans to solve payment issues without charging patients unexpectedly.
Providers can ask for payment disagreements to be reviewed by an Independent Dispute Resolution (IDR) process. The Centers for Medicare & Medicaid Services (CMS) manages this process and approves groups that settle payment disputes fairly.
Providers also must keep their provider lists up to date to avoid giving wrong information to patients. Accurate lists help reduce surprise bills when patients choose providers thinking they are in-network.
Healthcare law expert Lynn Shapiro Snyder, with over 40 years of experience, says providers face many challenges following these laws. This is especially true with AI and digital health rules. Practices must build strong programs that stop fraud and wrong billing, using new technology carefully.
Rules keep changing with the government checking these areas:
Healthcare organizations need strong legal and management systems to follow these rules while using new tools. This means having good policies and monitoring regularly.
Healthcare providers use AI tools more to meet these laws and work more efficiently. AI automation helps follow the Cures Act, Inflation Reduction Act, and No Surprises Act.
Front-Office Phone Automation and Answering Services
One important use is in front-office work. Many patient calls ask about billing, appointments, and insurance. AI phone systems can handle many calls, lowering wait times and letting staff do harder tasks.
Some companies provide AI phone systems made for medical offices. These systems answer patient calls in real-time. This helps patients get information about billing and insurance that follows the new laws.
For example, AI can tell patients about their rights under the No Surprises Act during calls. This stops confusion and arguments later.
Automated Billing and Coding Assistance
AI also helps billing departments by coding claims right according to Medicare and Medicaid rules. Good coding stops claim denials and audits.
AI can check billing data, find mistakes, and make sure services follow insurance rules, including drug price changes from the Inflation Reduction Act. This lowers human mistakes and speeds up payments.
Data Security and Record Sharing Compliance
The Cures Act wants electronic health records to work well together. AI helps keep data safe, watches for unusual access, and helps patients get their information fast.
These tools help medical offices meet rules and work better.
To handle recent healthcare laws well, practice leaders should:
Healthcare law is getting more complex. Legal help is important for providers. Lynn Shapiro Snyder shows how practices can use legal advice for compliance, fraud defense, and managing AI tools.
Legal experts assist with:
Working with legal specialists helps practices follow laws while caring for patients and keeping finances steady.
| Legislation | Key Impact Areas | Provider Responsibilities |
|---|---|---|
| 21st Century Cures Act | EHR interoperability, patient data access | Update EHR systems, train staff, avoid information blocking |
| Inflation Reduction Act | Drug price negotiation, Medicare spending control | Adjust billing and educate patients on drug costs |
| No Surprises Act | Ban on surprise balance billing, dispute resolution | Provide notices, update provider directories, participate in IDR |
Healthcare providers in the United States face new challenges from recent laws that regulate patient privacy, billing, and cost transparency. Knowing these laws well helps practices change workflows, use AI tools like those from Simbo AI, and follow federal rules.
This helps build patient trust, run smoother operations, and lower legal risks, all needed as providers handle growing administrative and regulatory demands.
Lynn Shapiro Snyder is a senior health care regulatory and AI compliance lawyer with over 40 years of experience, advising health care and life sciences companies on regulatory challenges, billing, and compliance, particularly in relation to artificial intelligence and digital health.
Lynn focuses on health care regulatory compliance, artificial intelligence, digital health, telemedicine, Medicare and Medicaid strategy, coding, coverage, reimbursement, and health care fraud enforcement.
Lynn has advised on commercialization strategies and compliance related to artificial intelligence, including developing compliance programs and navigating regulatory requirements for health care innovations.
Lynn serves on multiple boards, including the Women Business Leaders of the U.S. Health Care Industry Foundation and has held various leadership positions at Epstein Becker Green and other healthcare organizations.
Lynn has provided counsel on the Cures Act, the Inflation Reduction Act, and the No Surprises Act, focusing on their implications for health care providers and innovators.
She leads defenses against health care fraud claims, navigates investigations involving the False Claims Act, and represents clients before regulatory entities like the DOJ and DHHS OIG.
Lynn advises on developing compliance strategies for AI tools in health care, ensuring adherence to regulations and addressing enterprise risk management associated with these technologies.
Medical practices often face challenges related to regulatory compliance, risk management, coding and reimbursement for AI tools, and navigating federal and state health policy changes.
Lynn has been recognized in various lists, including Modern Healthcare’s ‘100 Most Powerful People in Healthcare’ and has received accolades for her contributions to health care law.
Recent events include discussions on managing enterprise risk with AI tools, legislative updates on algorithmic discrimination, and strategic considerations for health plans regarding AI implementation.