Job Description: AR Analyst - US Healthcare Company: Bandi Informatics Private Limited Location: Chennai, Tamilnadu, India Work Timings: 6:00 PM - 2:30 AM IST (Night Shift) Work Mode: On-site (Work from Chennai Office Only) About Bandi Informatics Private Limited: Bandi Informatics is a dynamic and growing organization providing specialized services within the healthcare sector. We pride ourselves on delivering high-quality solutions and fostering a collaborative work environment. Job Summary: We are seeking a detail-oriented and motivated Accounts Receivable (AR) Analyst to join our dedicated US Healthcare team. The AR Analyst will be responsible for managing the accounts receivable cycle for our US-based healthcare clients, focusing on resolving unpaid claims, analyzing denials, and ensuring timely payment collection from insurance payers. This role requires working during US business hours from our Chennai office. Key Responsibilities: Analyze and follow up on outstanding insurance claims for US healthcare providers. Identify, investigate, and resolve claim denials by reviewing Explanation of Benefits (EOBs), Remittance Advice (RAs), and payer correspondence. Initiate appeals and resubmit corrected claims to insurance companies via phone calls, payer portals, or other required methods. Monitor AR aging reports and prioritize follow-up activities to maximize collections and minimize bad debt. Accurately document all follow-up actions and findings in the relevant billing systems. Communicate effectively with US insurance payers to inquire about claim status and resolve payment discrepancies. Identify denial trends and report findings to management for process improvement. Ensure compliance with HIPAA regulations and client-specific guidelines. Collaborate with other team members and departments to resolve complex billing issues. Meet defined productivity and quality targets. Required Qualifications & Skills: Minimum 1-3 years of experience specifically in US Healthcare Accounts Receivable (AR) follow-up or Denial Management. Strong understanding of the US healthcare revenue cycle management (RCM) process, including medical billing, coding concepts (CPT, ICD-10), and insurance terminology. Proven experience working with major US insurance payers (e.g., Medicare, Medicaid, Commercial Insurances) and navigating their online portals. Excellent analytical and problem-solving skills with high attention to detail. Strong verbal and written communication skills in English, suitable for professional interaction with US counterparts. Proficiency in Microsoft Office Suite, particularly Excel. Ability to work independently and manage time effectively in a target-driven environment. Willingness and ability to work the mandatory night shift (6:00 PM - 2:30 AM IST) from our Chennai office. Bachelor's degree in Commerce, Finance, Business Administration, or a related field is preferred. To Apply: Please submit your resume and a self-introduction audio recording via WhatsApp to +91 9840020085. Alternatively, you may call the same number.

Bandi Informatics Pvt. Ltd. is a leading provider of medical scribe services to healthcare organizations of all sizes. We are looking for experienced and motivated live medical scribes to join our team. Provident fund

We are seeking a highly motivated and detail-oriented Pharmacist to join our team as a Medical Records Specialist. In this role, you will play a crucial part in ensuring the accuracy, completeness, and confidentiality of patient medical records, with a focus on medication-related information. You will collaborate with healthcare professionals, patients, and other stakeholders to maintain high-quality records that support safe and effective patient care. Responsibilities: Review and analyze patient medical records to identify medication-related issues, discrepancies, or potential drug interactions. Ensure accurate documentation of medication history, allergies, and adverse reactions. Collaborate with physicians, nurses, and other healthcare providers to clarify medication orders and resolve any discrepancies. Maintain up-to-date knowledge of relevant regulations and guidelines related to medical record keeping and patient privacy (HIPAA). Contribute to quality improvement initiatives by identifying trends, patterns, or areas for improvement in medication-related documentation. Provide education and training to healthcare professionals on proper documentation practices and medication safety. Respond to inquiries from patients, healthcare providers, and other stakeholders regarding medication-related information in medical records. Qualifications: Doctor of Pharmacy (Pharm.D.) degree from an accredited institution. Strong understanding of medical terminology, pharmacology, and drug interactions. Excellent attention to detail and ability to maintain accuracy in record keeping. Strong communication and interpersonal skills to effectively collaborate with healthcare professionals and patients. Knowledge of relevant regulations and guidelines related to medical record keeping and patient privacy (HIPAA). Ability to work independently and as part of a team. Proficiency in using electronic health record (EHR) systems and other relevant software. Preferred Qualifications: Experience in medical record review or clinical pharmacy practice. Certification in a relevant area, such as medication therapy management or informatics. WhatsApp / Phone : 9840020085

Bandi Informatics is seeking a highly skilled and motivated AI Specialist to join our growing team in Chennai. This role will primarily focus on developing and implementing Artificial Intelligence solutions for our USA healthcare clients. The ideal candidate will possess a strong understanding of AI/ML principles, experience with healthcare data, and the ability to work effectively during US business hours. Key Responsibilities: AI/ML Model Development: Design, develop, train, and deploy AI and Machine Learning models tailored for various healthcare applications, including but not limited to: Medical imaging analysis (e.g., disease detection, segmentation) Natural Language Processing (NLP) for clinical text analysis (e.g., electronic health records, patient notes, medical reports) Predictive analytics for patient outcomes, disease progression, or resource optimization. Automation of healthcare administrative processes (e.g., medical billing, transcription quality assurance). Data Preprocessing and Feature Engineering: Work with large, complex, and often unstructured healthcare datasets. This includes data cleaning, transformation, normalization, and creating relevant features for model training. Model Evaluation and Optimization: Evaluate the performance of AI/ML models using appropriate metrics, perform hyperparameter tuning, and implement strategies for continuous model improvement. Algorithm Selection and Customization: Research and select appropriate AI/ML algorithms (e.g., deep learning, supervised learning, unsupervised learning) based on specific problem statements and data characteristics. Customize and adapt algorithms as needed for optimal performance in healthcare contexts. Collaboration with Domain Experts: Work closely with healthcare professionals, data scientists, and software developers to understand requirements, translate business problems into AI solutions, and integrate AI models into existing systems. Staying Updated: Keep abreast of the latest advancements in AI/ML, particularly in the healthcare domain, and evaluate their potential application to Bandi Informatics' projects. Documentation and Reporting: Document model architectures, methodologies, results, and insights clearly and concisely. Prepare reports and presentations for both technical and non-technical stakeholders. Compliance and Ethics: Ensure all AI development adheres to healthcare data privacy regulations (e.g., HIPAA) and ethical AI principles. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Biomedical Engineering, or a related quantitative field. Proven experience (X years, specific number negotiable based on seniority) in developing and deploying AI/ML solutions, with a strong portfolio of projects. Solid understanding of machine learning algorithms (e.g., regression, classification, clustering, ensemble methods) and deep learning frameworks (e.g., TensorFlow, PyTorch, Keras). Proficiency in programming languages such as Python (with libraries like scikit-learn, NumPy, Pandas) and experience with data visualization tools. Experience working with healthcare data, including knowledge of medical terminologies (e.g., ICD, CPT) and healthcare data standards. Strong analytical and problem-solving skills with the ability to work independently and collaboratively. Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex technical information. Ability to work the specified shift timings (6:00 PM to 2:30 AM IST) to overlap with USA healthcare business hours. Preferred Skills (Nice to Have): Experience with cloud platforms (AWS, Azure, GCP) for deploying and managing AI/ML models. Familiarity with MLOps practices for model deployment, monitoring, and maintenance. Knowledge of medical imaging modalities (e.g., X-ray, MRI, CT) and relevant image processing techniques. Prior experience in a BPO or ITES environment serving international clients.