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by Adam Lewis 8 min read November 21, 2025

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Most Defendants Charged and Largest Alleged Loss Amount in Strike Force History 6/22/16 Attorney General Loretta E. Lynch and Department of Health and Human Services (HHS) Secretary Sylvia Mathews Burwell announced today an unprecedented nationwide sweep led by the Medicare Fraud Strike Force in 36 federal districts, resulting in criminal and civil charges against 301 individuals, including 61 doctors, nurses and other licensed medical professionals, for their alleged participation in health care fraud schemes involving approximately $900 million in false billings. Twenty-three state Medicaid Fraud Control Units also participated in today’s arrests. In addition, the HHS Centers for Medicare & Medicaid Services (CMS) is suspending payment to a number of providers using its suspension authority provided in the Affordable Care Act. This coordinated takedown is the largest in history, both in terms of the number of defendants charged and loss amount. Attorney General Lynch and Secretary Burwell were joined in the announcement by Assistant Attorney General Leslie R. Caldwell of the Justice Department’s Criminal Division, FBI Associate Deputy Director David Bowdich, Inspector General Daniel Levinson of the HHS Office of Inspector General (OIG), Acting Director Dermot O’Reilly of the Defense Criminal Investigative Service (DCIS), and Deputy Administrator and Director of CMS Center for Program Integrity Shantanu Agrawal M.D. The defendants announced today are charged with various health care fraud-related crimes, including conspiracy to commit health care fraud, violations of the anti-kickback statutes, money laundering and aggravated identity theft. The charges are based on a variety of alleged fraud schemes involving various medical treatments and services, including home health care, psychotherapy, physical and occupational therapy, durable medical equipment (DME) and prescription drugs. More than 60 of the defendants arrested are charged with fraud related to the Medicare prescription drug benefit program known as Part D, which is the fastest-growing component of the Medicare program overall. “As this takedown should make clear, health care fraud is not an abstract violation or benign offense – It is a serious crime,” said Attorney General Lynch. “The wrongdoers that we pursue in these operations seek to use public funds for private enrichment. They target real people – many of them in need of significant medical care. They promise effective cures and therapies, but they provide none. Above all, they abuse basic bonds of trust – between doctor and patient; between pharmacist and doctor; between taxpayer and government – and pervert them to their own ends. The Department of Justice is determined to continue working to ensure that the American people know that their health care system works for them – and them alone.” “Millions of seniors depend on Medicare for essential health coverage, and our action shows that this administration remains committed to cracking down on individuals who try to defraud the program,” said Secretary Burwell. “We are continuing to put new tools and additional resources to work, including $350 million from the Affordable Care Act, for health care fraud prevention and enforcement efforts. Thanks to the hard work of the Medicare Fraud Strike Force, we are making progress in addressing and deterring fraud and delivering results to help ensure Medicare remains strong for years to come.” According to court documents, the defendants allegedly participated in schemes to submit claims to Medicare and Medicaid for treatments that were medically unnecessary and often never provided. In many cases, patient recruiters, Medicare beneficiaries and other co-conspirators were allegedly paid cash kickbacks in return for supplying beneficiary information to providers, so that the providers could then submit fraudulent bills to Medicare for services that were medically unnecessary or never performed. Collectively, the doctors, nurses, licensed medical professionals, health care company owners and others charged are accused of submitting a total of approximately $900 million in fraudulent billing. “The Medicare Fraud Strike Force is a model of 21st-Century data-driven law enforcement, and it has had a remarkable impact on health care fraud across the country,” said Assistant Attorney General Caldwell. “As the cases announced today demonstrate, the Strike Force’s strategic approach keeps us a step ahead of emerging fraud trends, including drug diversion, and fraud involving compounded medications and hospice care.” “These criminals target the most vulnerable in our society by taking money away from the care of the elderly, children and disabled,” said Associate Deputy Director Bowdich. “The FBI is committed to working with our partners and the public to stop fraud and ensure that healthcare dollars are used to help the sick, and not line the pockets of criminals.” “While it is impossible to accurately pinpoint the true cost of fraud in federal health care programs, fraud is a significant threat to the programs’ stability and endangers access to health care services for millions of Americans,” said Inspector General Levinson. “As members of the joint Strike Force, OIG will continue to play a vital role in tracking down these criminals and seeing that justice is done.” “DCIS, in partnership with our fellow federal investigative agencies, will continue to uncompromisingly investigate and bring to justice the people who perpetrate these criminal acts,” said Acting Director O’Reilly. “Their actions threaten to cripple our vital national health care industry, and place our citizenry at risk. We will remain vigilant.” “Taxpayers and Congress provided CMS with resources to adopt powerful monitoring systems that fight fraud, safeguard program dollars, and protect Medicare and Medicaid,” said Deputy Administrator and Center for Program Integrity Director Agrawal. “The diligent use of innovative data analytic systems has contributed or led directly to many of the law enforcement cases presented here today. CMS is committed to its collaboration with these agencies to keep federally-funded health care programs safe and strong for all Americans.” The Medicare Fraud Strike Force operations are part of the Health Care Fraud Prevention & Enforcement Action Team (HEAT), a joint initiative announced in May 2009 between the Department of Justice and HHS to focus their efforts to prevent and deter fraud and enforce current anti-fraud laws around the country. The Medicare Fraud Strike Force operates in nine locations and since its inception in March 2007 has charged over 2,900 defendants who collectively have falsely billed the Medicare program for over $8.9 billion. Including today’s enforcement actions, nearly 1,200 individuals have been charged in national takedown operations, which have involved more than $3.4 billion in fraudulent billings. Today’s announcement marks the second time that districts outside of Strike Force locations participated in a national takedown, and they accounted for 82 defendants charged in this takedown. Source: www.justice.gov

August 9, 2016 by Experian Health

The U.S. Department of Health and Human Services (DHHS) Office of Inspector General (OIG) recently released an updated Mid-Year Work Plan for fiscal year 2016. The updated Work Plan summarizes new and ongoing reviews and activities that OIG plans to pursue in the current year and beyond. This edition of the Work Plan describes OIG audits and evaluations that are underway or planned, and certain ongoing legal and investigative initiatives. Summaries of 9 new review activities to be awar of follow:  CMS’ Implementation of New Medicare Payment System for Clinical Diagnostic Laboratory Tests – Mandatory Review We will assess CMS’s ongoing activities and progress toward implementing CMS’s new Medicare payment system for clinical diagnostic laboratory tests. CMS is required to replace its current system of determining payment rates for Medicare Part B clinical diagnostic laboratory tests with a new market-based approach that will use rates paid to laboratories by private payers (Protecting Access to Medicare Act of 2014, § 216). OIG is also required to conduct analyses of the implementation and effect of the new payment system Intensity-Modulated Radiation Therapy We will review Medicare outpatient payments for intensity-modulated radiation therapy (IMRT) to determine whether the payments were made in accordance with Federal requirements. IMRT is an advanced mode of high-precision radiotherapy that uses computer-controlled linear accelerators to deliver precise radiation doses to a malignant tumor or specific areas within the tumor. Prior OIG reviews have identified hospitals that have incorrectly billed for IMRT services. In addition, IMRT is provided in two treatment phases: planning and delivery. Certain services should not be billed when they are performed as part of developing an IMRT plan. Medicare Home Health Fraud Indicators We will describe the extent that potential indicators associated with home health fraud are present in home health billing for 2014 and 2015. We will analyze Medicare claims data to identify the prevalence of potential indicators of home health fraud. The Medicare home health benefit has long been recognized as a program area vulnerable to fraud, waste, and abuse. OIG has a wide portfolio of work involving home health fraud, waste, and abuse. National Background Check Program for Long-Term-Care Employees We will review the procedures implemented by participating States for long-term-care facilities or providers to conduct background checks on prospective employees and providers who would have direct access to patients and determine the costs of conducting background checks. We will determine the outcomes of the States’ programs and determine whether the checks led to any unintended consequences. This mandated work will be issued at the program’s conclusion as required, which is expected to be 2018 or later. Outpatient Outlier Payments for Short-Stay Claims We will determine the extent of potential Medicare savings if hospital outpatient stays were ineligible for an outlier payment. CMS makes an additional payment (an outlier payment) for hospital outpatient services when a hospital’s charges, adjusted to cost, exceed a fixed multiple of the normal Medicare payment (Social Security Act (SSA) § 1833(t)(5)). The purpose of the outlier payment is to ensure beneficiary access to services by having the Medicare program share in the financial loss incurred by a provider associated with individual, extraordinarily expensive cases. Prior OIG reports have concluded that a hospital’s high charges, unrelated to cost, lead to excessive inpatient outlier payments. Skilled Nursing Facility Prospective Payment System Requirements We will review compliance with the skilled nursing facility (SNF) prospective payment system requirement related to a 3-day qualifying inpatient hospital stay. Medicare requires a beneficiary to be an inpatient of a hospital for at least 3 consecutive days before being discharged from the hospital, in order to be eligible for SNF services (SSA § 1861(i)). If the beneficiary is subsequently admitted to a SNF, the beneficiary is required to be admitted either within 30 days after discharge from the hospital or within such time as it would be medically appropriate to begin an active course of treatment. Prior OIG reviews found that Medicare payments for SNF services were not compliant with the requirement of a 3-day inpatient hospital stay within 30 days of an SNF admission. Potentially Avoidable Hospitalizations of Medicare and Medicaid Eligible Nursing Home Residents for Urinary Tract Infections We will review nursing home records for residents hospitalized for urinary tract infections (UTI) to determine if the nursing homes provided services to prevent or detect UTIs in accordance with their care plans before they were hospitalized. A CMS-sponsored study identified UTIs as being associated with potentially avoidable hospitalizations and found that UTIs are generally preventable and manageable in the nursing home setting. UTIs acquired during the course of health and medical care could indicate poor quality of care. In a hospital setting, there are payment implications for hospital-acquired catheter-associated urinary tract infections. Nursing homes must develop and follow comprehensive care plans addressing each resident’s care needs, which includes urinary incontinence (42 CFR § 483.25(d)). Physician-Administered Drugs for Dual Eligible Enrollees We will determine whether Medicare requirements for processing physician-administered drug claims impact State Medicaid agencies’ ability to correctly invoice Medicaid drug rebates for dual eligible enrollees. Dual eligible describes individuals who are enrolled in both Medicare and Medicaid. States are required to collect rebates on physician-administered drugs. To collect these rebates, State agencies must submit to the manufacturers the National Drug Codes for all single-source drugs and for the top 20 multiple-source physician-administered drugs. For dual eligible enrollees, covered Medicare Part B prescription drugs received in a hospital outpatient setting (which include physician-administered drugs) require a copayment, which Medicaid is generally responsible for paying. If a State agency paid any portion of a drug claim to the provider, the State agency must then invoice the eligible drugs for rebate and the manufacturer would thus be liable for payment of the rebate. State Medicaid Fraud Control Unit FY 2015 Annual Report We will analyze the statistical information that was self-reported by the MFCUs for FY 2015, describing in the aggregate the outcomes of MFCU criminal and civil cases. We will identify common themes from onsite reviews of the 50 MFCUs that were published from FY 2011 through FY 2015. We will identify the potential costs and benefits of creating MFCUs in jurisdictions that currently do not have a Unit. OIG’s mission is to protect the integrity of HHS programs, as well as the health and welfare of program beneficiaries. In fulfillment of this mission, we promote provider compliance, recommend program safeguards, and follow up on those recommendations …” — Inspector General Daniel R. Levinson The OIG Mid-Year Workplan can be reviewed here: https://oig.hhs.gov/reports-and-publications/archives/workplan/2016/WorkPlan_April%202016_Final.pdf

August 9, 2016 by Experian Health

As a part of its continued efforts to assess compliance with the HIPAA Privacy, Security and Breach Notification Rules, the HHS Office for Civil Rights (OCR) has begun its next phase of audits of covered entities and their business associates. Audits are an important compliance tool for OCR that supplements OCR’s other enforcement tools, such as complaint investigations and compliance reviews. These tools enable OCR to identify best practices and proactively uncover and address risks and vulnerabilities to protected health information (PHI). In its 2016 Phase 2 HIPAA Audit Program, OCR will review the policies and procedures adopted and employed by covered entities and their business associates to meet selected standards and implementation specifications of the Privacy, Security, and Breach Notification Rules. These audits will primarily be desk audits, although some on-site audits will be conducted. The 2016 audit process begins with verification of an entity’s address and contact information. An email is being sent to covered entities and business associates requesting that contact information be provided to OCR in a timely manner. OCR will then transmit a pre-audit questionnaire to gather data about the size, type, and operations of potential auditees; this data will be used with other information to create potential audit subject pools. If an entity does not respond to OCR’s request to verify its contact information or pre-audit questionnaire, OCR will use publically available information about the entity to create its audit subject pool. Therefore an entity that does not respond to OCR may still be selected for an audit or subject to a compliance review. Communications from OCR will be sent via email and may be incorrectly classified as spam. If your entity’s spam filtering and virus protection are automatically enabled, we expect entities to check their junk or spam email folder for emails from OCR. The audit program is developing on pace and OCR is committed to transparency about the process. OCR will post updated audit protocols on its website closer to conducting the 2016 audits. The audit protocol will be updated to reflect the HIPAA Omnibus Rulemaking and can be used as a tool by organizations to conduct their own internal self-audits as part of their HIPAA compliance activities. OCR’s audits will enhance industry awareness of compliance obligations and enable OCR to better target technical assistance regarding problems identified through the audits. If you are selected for an audit, submit the requested documentation and any written comments demonstrating your compliance with the following HIPAA requirements: Privacy rule: Notice of Privacy Practices and Content Requirements, Privacy—Specific Requirements for Electronic Notice and Privacy—Right to Access. Breach notification rule: Breach Notification—Timeliness and Breach Notification—Content. Security rule: Security Risk Analysis and Security Risk Management. Through the information gleaned from the audits, OCR will develop tools and guidance to assist the industry in compliance self-evaluation and in preventing breaches. We will evaluate the results and procedures used in our phase 2 audits to develop our permanent audit program. For more information on phase 2 of the OCR’s HIPAA compliance audit program, check out the audit phase 2 program objectives and frequently asked questions.

August 9, 2016 by Experian Health

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Key takeaways: Revenue cycle teams can use automation to reduce repetitive work and apply AI where data-driven prediction, matching or prioritization can improve a workflow. Experian Health’s 2025 State of Claims survey found that 41% of providers now face denial rates of 10% or higher, while 68% say submitting clean claims is more challenging than a year ago. Patient Access Curator™ (PAC) uses AI to support front-end data validation and insurance discovery, while AI Advantage™ helps teams predict denial risk and prioritize denial follow-up. Artificial intelligence (AI) and automation can support administrative work in healthcare. In the revenue cycle, teams depend on accurate information, timely decisions and efficient follow-up to keep claims moving. In revenue cycle management, AI and automation can help organizations reduce manual checks, find data gaps, predict denial risk and prioritize work queues. These tools are most useful when they support staff judgment, payer expertise and compliance oversight. They can handle repetitive, data-heavy tasks so staff can focus on exceptions and decisions that need human review. In 2023, McKinsey & Company reported that research suggests effectively deploying automation and analytics could eliminate $200 billion to $360 billion of spending in U.S. healthcare. For revenue cycle leaders, the practical question is where to apply those capabilities first. The case for applying AI and automation in healthcare Revenue cycle teams juggle many daily tasks. Staff collect and verify patient information, confirm eligibility, identify the right payer, submit clean claims, monitor status, work denials and manage collections. Small data gaps at the beginning of the process can create downstream rework and delays. Rework also consumes staff time, adding to these operational pressures. As costs rise and revenue cycles tighten, there is increasing pressure to do more with less. Experian Health’s 2025 State of Claims survey found that 54% of providers say claim errors are increasing and 90% of claim denials are reworked with at least some human review before resubmission. Providers are also managing broader financial and administrative pressures. The American Hospital Association has reported that prior authorization requirements, claim audits, denials and other payer policies add administrative burden and cost for hospitals and health systems. These requirements also consume staff time to appeal denials and manage payer processes. AI and automation are different but complementary. Automation follows defined rules to complete repeatable work. AI models can identify patterns in data, predict risk and help teams decide where to focus attention. When used together, they can support more consistent revenue cycle workflows. How AI and automation can support revenue cycle workflows Revenue cycle management automation and AI are most useful when tied to a specific workflow and a measurable operational problem. The goal is to help teams act earlier, reduce avoidable rework and focus staff time where judgment is needed most. For example, automation can complete rule-based eligibility checks. AI can help identify claims with a higher likelihood of denial. In insurance discovery workflows, AI can also help identify coverage that wasn’t captured at registration. When these tools fit into existing workflows, they can support more consistent decisions and reduce manual work. Three practical applications include: 1. Improving front-end data quality with Patient Access Curator Patient and coverage information collected early in the revenue cycle can affect downstream claim outcomes. Incomplete or outdated demographic details, eligibility responses, coordination of benefits or Medicare Beneficiary Identifier information can create problems that lead to claim delays or denials later in the cycle. Experian Health’s Patient Access Curator helps prevent claim denials by validating demographics, eligibility, insurance discovery, coordination of benefits and Medicare Beneficiary Identifier data in seconds. PAC’s AI and machine learning capabilities help improve match accuracy, coverage sequencing and data confidence by writing the validated data back into the host system and sequencing payers before the claim is created. This automates work that would otherwise require manual coverage checks. 2. Using insurance discovery to find coverage not captured at registration When active coverage isn’t identified during registration, claims may be delayed or submitted with incomplete insurance information. Insurance discovery looks for coverage that may not have been captured during registration. Patient Access Curator includes insurance discovery as part of its front-end validation workflow. It can help identify and correct missing or incorrect insurance information so claims can be submitted with more complete coverage data. 3. Using AI to prevent and prioritize denials Even with strong front-end processes, some claims still require additional attention. AI can help claims teams decide which claims to review before submission and which denials to work first after payer response. Experian Health’s AI Advantage supports two denial management use cases:1. AI Advantage – Predictive Denials uses a client’s historical claims data and Experian’s knowledge of payer rules to identify claims with a high likelihood of denial before submission so teams can take corrective action.2. AI Advantage – Denial Triage uses AI to segment denials and identify those with the highest potential for reimbursement. This approach can help teams prioritize with more confidence. Rather than treating every claim or denial the same way, teams can use predictive models to focus on the work that needs the most attention. Potential benefits of AI and automation in the revenue cycle A high-performing revenue cycle depends on timely, accurate and consistent work. AI and automation can help providers modernize that work without losing the expertise of the people who manage complex payer and patient situations every day. When applied to the right workflows, these tools can help organizations: Reduce manual data searches that take staff away from higher-value work Improve front-end data quality before claims are created Identify missing or incorrect coverage information earlier Spot claims that may be at higher risk of denial Prioritize denied claims by potential reimbursement Reduce rework caused by inaccurate or incomplete information Give staff more consistent information for follow-up decisions A focused AI strategy starts with the workflow problem, uses data that is relevant to that problem and keeps staff in control of judgment-based decisions. A more proactive approach to revenue cycle management Revenue cycle teams can move from reactive work toward a more proactive approach: catch errors earlier, validate coverage before claims are created and prioritize the claims and denials that need the most attention. Experian Health offers revenue cycle solutions that use AI and automation in targeted ways to support front-end data quality, reduce rework and manage denials. Patient Access Curator supports registration and coverage validation, while AI Advantage supports denial prediction and triage. Learn more about Experian Health’s Patient Access Curator and AI Advantage.

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Experian Health ranked #1 in Best in KLAS for 2025

Experian Health is very pleased to announce that we’ve ranked #1 in the 2025 Best in KLAS: Software & Services report, for our Contract Manager and Contract Analysis product, for the third consecutive year. Contract Manager, when paired with Contract Analysis, empowers healthcare providers by ensuring payers comply with contract terms, identifying and recovering underpayments, and arming them with real claims data to negotiate contracts. This enables providers to negotiate more favorable terms and maintain financial stability.  Clarissa Riggins, Chief Product Officer at Experian Health, says, “In the ever-evolving healthcare landscape, our Contract Manager solution has once again been recognized as the #1 Revenue Cycle Management tool by KLAS for the third consecutive year. This prestigious ranking underscores the significant value our solution delivers to our clients by identifying underpayments and facilitating revenue recovery. We are honored to continue supporting our clients with innovative solutions that drive financial success and operational efficiency.”  Learn more about how Contract Manager and Contract Analysis can help your healthcare organization validate reimbursement accuracy, recover underpayments and boost revenue.   Learn more Contact us

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Lorem ipsum dolor sit amet consectetur adipiscing elit. Quisque faucibus ex sapien vitae pellentesque sem placerat. In id cursus mi pretium tellus duis convallis. Tempus leo eu aenean sed diam urna tempor. Pulvinar vivamus fringilla lacus nec metus bibendum egestas. Iaculis massa nisl malesuada lacinia integer nunc posuere. Ut hendrerit semper vel class aptent taciti sociosqu. Ad litora torquent per conubia nostra inceptos himenaeos.

Lorem ipsum dolor sit amet consectetur adipiscing elit. Quisque faucibus ex sapien vitae pellentesque sem placerat. In id cursus mi pretium tellus duis convallis. Tempus leo eu aenean sed diam urna tempor. Pulvinar vivamus fringilla lacus nec metus bibendum egestas. Iaculis massa nisl malesuada lacinia integer nunc posuere. Ut hendrerit semper vel class aptent taciti sociosqu. Ad litora torquent per conubia nostra inceptos himenaeos.

Lorem ipsum dolor sit amet consectetur adipiscing elit. Quisque faucibus ex sapien vitae pellentesque sem placerat. In id cursus mi pretium tellus duis convallis. Tempus leo eu aenean sed diam urna tempor. Pulvinar vivamus fringilla lacus nec metus bibendum egestas. Iaculis massa nisl malesuada lacinia integer nunc posuere. Ut hendrerit semper vel class aptent taciti sociosqu. Ad litora torquent per conubia nostra inceptos himenaeos.

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Lorem ipsum dolor sit amet consectetur adipiscing elit. Quisque faucibus ex sapien vitae pellentesque sem placerat. In id cursus mi pretium tellus duis convallis. Tempus leo eu aenean sed diam urna tempor. Pulvinar vivamus fringilla lacus nec metus bibendum egestas. Iaculis massa nisl malesuada lacinia integer nunc posuere. Ut hendrerit semper vel class aptent taciti sociosqu. Ad litora torquent per conubia nostra inceptos himenaeos.

Lorem ipsum dolor sit amet consectetur adipiscing elit. Quisque faucibus ex sapien vitae pellentesque sem placerat. In id cursus mi pretium tellus duis convallis. Tempus leo eu aenean sed diam urna tempor. Pulvinar vivamus fringilla lacus nec metus bibendum egestas. Iaculis massa nisl malesuada lacinia integer nunc posuere. Ut hendrerit semper vel class aptent taciti sociosqu. Ad litora torquent per conubia nostra inceptos himenaeos.

Lorem ipsum dolor sit amet consectetur adipiscing elit. Quisque faucibus ex sapien vitae pellentesque sem placerat. In id cursus mi pretium tellus duis convallis. Tempus leo eu aenean sed diam urna tempor. Pulvinar vivamus fringilla lacus nec metus bibendum egestas. Iaculis massa nisl malesuada lacinia integer nunc posuere. Ut hendrerit semper vel class aptent taciti sociosqu. Ad litora torquent per conubia nostra inceptos himenaeos.

Lorem ipsum dolor sit amet consectetur adipiscing elit. Quisque faucibus ex sapien vitae pellentesque sem placerat. In id cursus mi pretium tellus duis convallis. Tempus leo eu aenean sed diam urna tempor. Pulvinar vivamus fringilla lacus nec metus bibendum egestas. Iaculis massa nisl malesuada lacinia integer nunc posuere. Ut hendrerit semper vel class aptent taciti sociosqu. Ad litora torquent per conubia nostra inceptos himenaeos.

Lorem ipsum dolor sit amet consectetur adipiscing elit. Quisque faucibus ex sapien vitae pellentesque sem placerat. In id cursus mi pretium tellus duis convallis. Tempus leo eu aenean sed diam urna tempor. Pulvinar vivamus fringilla lacus nec metus bibendum egestas. Iaculis massa nisl malesuada lacinia integer nunc posuere. Ut hendrerit semper vel class aptent taciti sociosqu. Ad litora torquent per conubia nostra inceptos himenaeos.