Advanced Certificate in Healthcare Fraud Detection: Next-Gen

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The Advanced Certificate in Healthcare Fraud Detection: Next-Gen course is a comprehensive program designed to empower learners with critical skills in identifying, preventing, and mitigating healthcare fraud. This course is vital with the ever-increasing cases of healthcare fraud, estimated to cost the United States over $60 billion annually, according to the National Health Care Anti-Fraud Association.

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AboutThisCourse

This course is in high demand across various industries, including healthcare, insurance, and government agencies, as they strive to combat fraud and safeguard their resources. By enrolling in this course, learners will gain essential skills in data analysis, risk management, and fraud detection techniques, utilizing advanced technologies such as machine learning and artificial intelligence. Upon completion, learners will be equipped with the skills and knowledge required to excel in their careers and contribute to the fight against healthcare fraud. This course is an excellent opportunity for professionals seeking to advance their skills and stay updated on the latest industry trends and best practices.

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CourseDetails

• Advanced Healthcare Fraud Schemes: uncovering sophisticated methods used in healthcare fraud, including upcoding, unbundling, and phantom billing.

• Data Mining and Analytics in Fraud Detection: utilizing data analysis techniques to identify patterns and anomalies in healthcare claims data.

• Legal and Regulatory Framework for Healthcare Fraud: examining federal and state laws and regulations governing healthcare fraud, including the False Claims Act and Anti-Kickback Statute.

• Forensic Accounting and Auditing in Healthcare: utilizing financial analysis and auditing techniques to detect and prevent fraud.

• Healthcare Fraud Investigations: conducting fraud investigations, including interviewing witnesses, gathering evidence, and writing investigative reports.

• Technology in Healthcare Fraud Detection: exploring the use of artificial intelligence, machine learning, and other technologies to detect and prevent fraud.

• Ethical Considerations in Healthcare Fraud Detection: examining ethical issues that arise in fraud detection, including confidentiality, privacy, and whistleblower protections.

• Healthcare Fraud Prosecution and Litigation: understanding the legal process for prosecuting healthcare fraud, including civil and criminal penalties.

• Fraud Risk Management in Healthcare Organizations: developing strategies to prevent and mitigate fraud risk within healthcare organizations.

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EntryRequirements

  • BasicUnderstandingSubject
  • ProficiencyEnglish
  • ComputerInternetAccess
  • BasicComputerSkills
  • DedicationCompleteCourse

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  • NotAccreditedRecognized
  • NotRegulatedAuthorized
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CourseFee

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FastTrack GBP £140
CompleteInOneMonth
AcceleratedLearningPath
  • ThreeFourHoursPerWeek
  • EarlyCertificateDelivery
  • OpenEnrollmentStartAnytime
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StandardMode GBP £90
CompleteInTwoMonths
FlexibleLearningPace
  • TwoThreeHoursPerWeek
  • RegularCertificateDelivery
  • OpenEnrollmentStartAnytime
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  • DigitalCertificate
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ADVANCED CERTIFICATE IN HEALTHCARE FRAUD DETECTION: NEXT-GEN
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London School of International Business (LSIB)
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05 May 2025
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