Arintra
Osama Azmi is currently working as a Software Engineer at Arintra since September 2021. Prior to this, they were a Member at Cyber Labs from December 2017 to May 2021.
Osama Azmi completed their Bachelor of Technology degree in Mining Machinery Engineering from the Indian Institute of Technology (Indian School of Mines), Dhanbad. Osama attended the institution from 2017 to 2021. Additionally, they obtained several certifications from Coursera, including "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" in December 2018, "Neural Networks and Deep Learning" in November 2018, and "Structuring Machine Learning Projects" in November 2018. Osama also obtained certifications in "Fundamentals of Reinforcement Learning" in May 2021, "Sample-based Learning Methods" in June 2021, and "Prediction and Control with Function Approximation" in August 2021.
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Arintra
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US hospitals and clinics are losing $125B every year due to delayed and inaccurate medical coding. Arintra is solving this problem by automating medical coding using AI and clinical NLP. Arintra converts a patient chart instantly into insurance claims with 96% accurate medical codes and zero human intervention. Arintra solution is specifically tailored to cater to the varying requirements of ambulatory and outpatient specialties, emergency department services, and inpatient settings, ensuring comprehensive coverage across all healthcare domains. Arintra’s software leverages proprietary artificial intelligence and natural language processing algorithms to process patient charts directly from the EHR to create a direct-to-billing claim. Arintra autonomously goes through every stage of the claim submission process and ensures a clean claim for optimal reimbursements without any human intervention. Arintra is integrated with all the top EHRs to ensure effortless implementation without any change in the workflow. Arintra’s medical coding software offers two powerful modes for medical coding: autonomous coding mode and assisted coding mode. In autonomous coding mode, direct-to-billing claims are generated autonomously with high accuracy, streamlining the billing process for healthcare provider organizations. Whereas, assisted coding mode allows medical coders to meticulously review and optimize charges before submission, leading to increased efficiency and precision in the coding process. With Arintra, healthcare provider organizations can rely on precise direct-to-billing claims that include essential codes like E/M levels, CPT, ICD-10, HCC, HCPCS with appropriate modifiers and units. Arintra’s coding solution provides extensive coverage and flexibility, catering to various coding domains such as professional coding, professional-fee coding, facility coding, and inpatient coding.