Follow up with Insurance companies in the US for denied/unpaid claims.Only Experience from US Healthcare Medical Billing Will be Considered.Claim Follow-up:Review and analyze denied or unpaid claims.Identify and resolve claim issues, such as missing information or coding errors.Contact insurance companies to appeal denied claims and request payment.Utilize appropriate communication channels (phone, email, fax) to interact with insurance representatives.Payment Posting:Post payments received from insurance companies.Reconcile payment postings to ensure accuracy.Identify and resolve payment discrepancies.Documentation:Maintain accurate and up-to-date records of claim status, appeals, and payment information.Document all communication with insurance companies.Performance Metrics:Track key performance indicators (KPIs) such as denial rates, days in accounts receivable, and recovery rates.Identify areas for improvement and implement strategies to enhance performance.

We are looking for Medical Coding Trainees – Any Graduate can apply, If you have good communication skills and are ready to work in a 24x7 environment, this is your chance to start a rewarding career in healthcare.Required Candidate profileEligibility: Any Candidates graduated between 2018 and 2025 can applySkills Required: Good communicationShift: 24x7Shortlisted candidates will receive call for interview.

We are hiring Customer Service Executives for our US Healthcare RCM process. Candidates will be responsible for handling denied claims, contacting insurance companies to understand the denial reasons, and working towards claim resolution and payment.Required Candidate profileMinimum 8 months exp. ( into Voice Process) Undergrads: Min13 months Exp. required (Into Voice process) PF relieving are mandatory.Perks and benefitsBoth Side Cab, Meal, PF, Medical, Paid Leaves

Candidate should have minimum 6 months to 1 year experience in AR calling - Denial Management, Physician billing HCFA 1500 experience is required

Graduates (except BTech) can apply. Freshers or those with BPO/KPO calling experience are also eligible. This is a US Healthcare night shift role. Interested to learn and working in semi-voice process.

We are seeking a highly skilled and experienced Senior Data Engineer to join our team. This role will be instrumental in designing, developing, and maintaining our data infrastructure, ensuring the effective processing and analysis of large datasets. The ideal candidate will have a strong background in data modeling, data architecture, and experience with a variety of data technologies.Key Responsibilities:Design and implement robust data pipelines, ETL processes, and data warehouses to support our analytics and reporting needs.Develop and maintain data models, schemas, and metadata to ensure data quality and consistency.Collaborate with data scientists, analysts, and business stakeholders to understand their requirements and translate them into technical solutions.Optimize data pipelines for performance and scalability to handle large volumes of data.Stay up-to-date with the latest data technologies and trends to drive innovation and efficiency.ResponsibilitiesDesign, develop, and maintain scalable data architectures, pipelines, APIs, and integrations.Create and optimize data models to support efficient data processing and storage.Manage and maintain databases, including Postgres, SSIS, ensuring data integrity and performance.Develop, deploy, and manage ETL and EDI processes.Develop and maintain scripts and applications using Python for data processing and analysis.Ensure data security and compliance with relevant regulations and best practices.Leverage cloud services (e.g., Azure, AWS) for data storage, processing, and analytics.Collaborate with cross-functional teams to gather requirements and provide data-driven insights.Implement and manage caching solutions to improve data retrieval speeds.Create and maintain comprehensive documentation for all data processes and architectures.Utilize data visualization tools to create interactive dashboards and reports for stakeholders.QualificationsBachelors degree in Computer Science, Information Systems, Data Science, or a related field (or equivalent work experience).Minimum of 5 years of experience in data engineering or a related field.Proficiency in data modeling, data architecture, and database management with Postgres or SSIS..Experience with electronic medical records (EMRs) and understanding of the healthcare industry is strongly desired.Strong SQL skills and experience with common ETL tools.Proficiency in Python for data processing and automation.Experience with common caching solutions (e.g., Redis, Memcached).Expertise in data security best practices and regulatory compliance.Hands-on experience with cloud platforms like Azure and AWS.Proficiency with data visualization tools such as Power BI, Tableau, or similar.Excellent problem-solving skills and ability to troubleshoot data issues effectively.Strong communication skills, both written and verbal, with the ability to explain complex technical concepts to non-technical stakeholders.Desired SkillsKnowledge of data warehousing concepts and methodologies.Experience with Agile/Scrum methodologies.Familiarity with Power BI administration and deployment.

Dictation from physicians & other health care staff. Dictation may include patient histories, diagnoses etc.Required Candidate profile12th Pass, Graduate, or Undergraduate, Good typing speed & accuracy, strong listening and comprehension skills Basic knowledge of medical terminology.