• involved in the company's day-to-day revenue cycle management • ensure payments are collected timely and in full from payers • perform appropriate accounts receivable follow-up for denied claims • make use of all available tools to efficiently identify reasons for non-payments • work with insurance companies to follow up on denials of claims • process and upload checks/electronic payments for cash posting • review/approve patient statements prior to mailing • analyze data to identify trends and create reports for management • interact and collaborate with administrative staff to resolve billing questions • proficiency reading proper insurance plan and policy# from insurance ID cards • ability to extract details from medical records to substantiate billing coding changes • communicate effectively using helpdesk ticketing system • contact payers to obtain clarification regarding incorrect payment/denials • effectively work edits within claim scrubbing software • accurately complete assignments in a timely manner • maintain working knowledge of company policies for collections, adjustments and write-offs • possess strong critical thinking and problem solving skills

The Case Management Supervisor is responsible for directing the operations of their designated department, which may include one or more of the following functions: human resources, customer service, and limited sales management. This is a remote position. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: - Responsible for directing a designated group of employees in their day-to-day operations - Responsible for quality of service provided - Responsible for human resources matters directly related to department supervised - May be required to travel overnight and attend meetings - May perform daily, weekly, monthly reviews of various reports, invoices, logs and expenses - May be responsible for limited marketing and sales activities - May be required to oversee case management clinical activities (dependent on whether or not unit manager is an RN) - For Supervisors who are not RN’s, the clinical oversight and direction will be performed by a designated RN with a nationally recognized certification. This could be a case management supervisor, another manager or local executive - May perform case management responsibilities (dependent on whether or not unit manager is an RN for medical case management activities or qualified for vocational case management) - Additional duties as assigned KNOWLEDGE & SKILLS: - Clear written and verbal communication skills with the ability to communicate complex ideas across multiple platforms - Ability to remain poised in stressful situations and communicate diplomatically - Ability to skillfully manage multiple, complex projects and competing priorities while working under pressure to meet deadlines and maintaining strong customer service orientation - Ability to work independently, while remaining available to others - Computer proficiency and technical aptitude with the ability to utilize Microsoft Office including Excel spreadsheets - Must have technical knowledge of applicable laws, policies, and procedures in defined territory - Strong interpersonal, time management and analytical skills - Great attention to detail and focus on results EDUCATION & EXPERIENCE: - Graduate of accredited school of nursing with a diploma/associate's degree (Bachelor of Science degree or Bachelor of Science in Nursing preferred) - Current RN licensure in state of operation - 3 or more years of recent clinical experience, preferably in rehabilitation - National certification (CRC, CIRS, CCRN, CVE, CCM, etc.), CCM preferred - Demonstrated experience in management or supervision PAY RANGE: CorVel uses a market based approach to pay and our salary ranges may vary depending on your location. Pay rates are established taking into account the following factors: federal, state, and local minimum wage requirements, the geographic location differential, job-related skills, experience, qualifications, internal employee equity, and market conditions. Our ranges may be modified at any time. For leveled roles (I, II, III, Senior, Lead, etc.) new hires may be slotted into a different level, either up or down, based on assessment during interview process taking into consideration experience, qualifications, and overall fit for the role. The level may impact the salary range and these adjustments would be clarified during the offer process. Pay Range: $77,960 – $120,368 A list of our benefit offerings can be found on our CorVel website: CorVel Careers | Opportunities in Risk Management In general, our opportunities will be posted for up to 1 year from date of posting, or until we have selected candidate(s) to fulfill the opening, whichever comes first. ABOUT CORVEL CorVel, a certified Great Place to Work® Company, is a national provider of industry-leading risk management solutions for the workers’ compensation, auto, health and disability management industries. CorVel was founded in 1987 and has been publicly traded on the NASDAQ stock exchange since 1991. Our continual investment in human capital and technology enable us to deliver the most innovative and integrated solutions to our clients. We are a stable and growing company with a strong, supportive culture and plenty of career advancement opportunities. Over 4,000 people working across the United States embrace our core values of Accountability, Commitment, Excellence, Integrity and Teamwork (ACE-IT!). A comprehensive benefits package is available for full-time regular employees and includes Medical (HDHP) w/Pharmacy, Dental, Vision, Long Term Disability, Health Savings Account, Flexible Spending Account Options, Life Insurance, Accident Insurance, Critical Illness Insurance, Pre-paid Legal Insurance, Parking and Transit FSA accounts, 401K, ROTH 401K, and paid time off. CorVel is an Equal Opportunity Employer, drug free workplace, and complies with ADA regulations as applicable. #LI-Remote

Company Description A Serasa Experian é a primeira e a maior Datatech do Brasil. Líder em soluções de inteligência para análise de riscos e oportunidades, com foco nas jornadas de crédito, autenticação e prevenção à fraude. Com tecnologia de ponta, inovação e os melhores talentos, transforma a incerteza do risco na melhor decisão, ajudando pessoas a realizarem seus sonhos e empresas de todos os portes e segmentos a prosperarem. Temos 22.000 pessoas operando em 32 países e a cada dia estamos investindo em novas tecnologias, profissionais talentosos e inovação para ajudar todos os clientes a maximizarem cada oportunidade. Com sede corporativa em Dublin, Irlanda, a Experian está listada na Bolsa de Valores de Londres (EXPN) e compõe o índice FTSE 100. Job Description Descrição do trabalho Oportunidade | Time de Modelagem de Crédito Estamos em busca de um(a) profissional para integrar o nosso Time de Modelagem de Crédito — um ambiente onde dados, tecnologia e negócio caminham juntos para transformar decisões estratégicas. O poder dos dados está em nosso DNA. É a partir dele que desenvolvemos soluções analíticas capazes de potencializar a qualidade e a efetividade das decisões dos nossos clientes. Utilizamos técnicas estatísticas avançadas e Machine Learning, explorando dados de toda a organização para construir modelos de risco de crédito customizados às necessidades de cada negócio. Esses modelos são ferramentas essenciais para que nossos clientes otimizem e maximizem suas decisões. Nossa missão é apoiar clientes e parceiros com inteligência analítica aplicada ao negócio. Principais responsabilidades No dia a dia, você irá: - Desenvolver modelos de risco de crédito utilizando técnicas estatísticas e soluções de Machine Learning, com foco em Python; - Manipular, explorar e analisar grandes bases de dados utilizando Python; - Conduzir estudos ad hoc e análises estatísticas para apoio à tomada de decisão; - Interpretar resultados analíticos, avaliando sua coerência, relevância e impacto para o negócio; - Traduzir análises e conceitos técnicos complexos em insights claros e objetivos, adequados a diferentes públicos, incluindo clientes de diversos segmentos e áreas internas. Qualifications Qualificações - Experiência sólida em Python para manipulação, análise de dados e desenvolvimento de modelos estatísticos e de Machine Learning; - Boa capacidade de comunicação, com facilidade para interagir com clientes internos e externos; - Perfil proativo, com foco em resultados, qualidade e entrega de valor; - Postura analítica, questionadora e curiosa, com interesse contínuo em aprendizado, evolução técnica e identificação de padrões e oportunidades de melhoria; - Capacidade de propor soluções alinhadas às estratégias do negócio. - Conhecimento em GenAI será considerado um diferencial. Additional Information A Serasa Experian é muito mais do que você imagina. Com o propósito de criar um futuro melhor, ampliando oportunidades para pessoas e empresas, no Brasil somos mais de 4 mil pessoas que atuam em diversos times e especialidades. Aqui, cada conhecimento e diversidade se complementa e você pode trabalhar no que mais ama, estamos comprometidos a construir uma cultura inclusiva e um ambiente no qual pessoas possam equilibrar a carreira com seus compromissos e interesses pessoais, prezando pelo bem-estar. A gente se dedica muito em ser uma das melhores e mais inovadoras empresas para se trabalhar do país, possibilitando experiências e carreiras incríveis para nossas pessoas. Nossa forte abordagem de pessoas em primeiro lugar é reconhecida externamente por meio de diversas certificações de mercado: fomos premiados pelo Great Place To Work™ em 24 países e pela certificação internacional Top Employers, além de sermos reconhecidos como uma das melhores empresas para jovens profissionais e contarmos com uma avaliação de 4,6 no Glassdoor. Cada reconhecimento nos indica que estamos no caminho certo, proporcionando um ambiente de trabalho cada vez melhor para nossos talentos. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here - Employee Status: Regular - Role Type: Home - Department: Analytics - Schedule: Full Time

• Use Office suite tools, with emphasis on Excel, to manipulate and organize information. • Analyze data to support academic decision-making. • Maintain organization of tasks and deadlines, ensuring timely delivery. • Apply agile methodologies in executing projects and activities. • Collaborate effectively with the team, ensuring clear, organized, and effective communication.