Amarjith Thulaseedharan

Results-oriented Healthcare Business Analyst with 15+ years of experience in implementing and optimizing Hospital applications across nationwide hospital networks. Expert in leveraging advanced business analytics and AI-driven technologies to enhance operational efficiency, improve patient outcomes, and support data-driven decision-making. Specialized in interoperability standards and seamless healthcare data communication, working closely with clinical teams to identify challenges and architect innovative AI-powered solutions that streamline workflows and enable predictive insights. Passionate about driving digital transformation through automation, natural language processing, and machine learning to deliver smarter, scalable healthcare solutions.

• Proficient in healthcare coding standards including ICD, CPT, RxNorm, LOINC, and SNOMED for accurate clinical documentation and reporting.
• Skilled in analyzing and interpreting clinical guidelines for various diseases to support evidence-based healthcare delivery.
• Experienced in implementing healthcare interoperability standards to ensure seamless data exchange across systems.
• Knowledgeable about country and regional healthcare compliance requirements, with practical experience in ensuring regulatory adherence in healthcare IT implementations.

• Seasoned Healthcare Business Analyst with 15 years of extensive experience in implementing healthcare payor and billing systems. Began career as an implementation consultant for the payor product “myCARE,” progressing to a Business Analyst role in 2016. Currently serving as Senior Business Analyst at Coceptvines, as Senior Business Analyst from Effective care Intelligence (ECI) and Whole Person Care (WPC) Project. to build the logic for patient health score and its recordation using Al models .
• Understanding of AI and Machine Learning concepts: Basic to intermediate knowledge of AI, machine learning algorithms, and deep learning for applying AI solutions in healthcare contexts.
• Data Science and Big Data Analytics: Ability to handle, analyze, and interpret large and complex healthcare datasets using data science methodologies.
• Natural Language Processing (NLP): Skills in NLP techniques for analyzing medical text, patient feedback, and healthcare documentation.
• AI and Business Intelligence Tools: Proficiency in AI-enabled business intelligence and data visualization tools (e.g., Tableau, Power BI) for actionable insights.
• Predictive and Prescriptive Analytics: Capacity to use AI to forecast healthcare events (disease outbreaks, patient admissions) and recommend proactive actions.
• Proven track record in leading three nationwide implementations of payor and billing modules, integrating with clinical Systems and third-party applications. Expert in gathering, analyzing, and documenting detailed customer requirements to shape product roadmaps and collaborating with product teams to prioritize and define user stories driving agile development.
• Skilled in multiple integration technologies, including HL7, API, EDI, ODATA, and table-to-table methods, enabling seamless interoperability across systems. Comprehensive involvement in the full implementation lifecycle—from requirements elicitation, gap analysis, and solution design to system configuration, UAT, training, go-live support, and ongoing maintenance.
• Successfully executed HL7 integrations with major HIS platforms (Cerner, Allscripts, BESTCARE, VistA) and enterprise systems (SAP, D365, CSPD) achieving 99% efficiency and on-time delivery. Proficient in post office and payor integrations involving complex data formats such as XML and JSON.
• Deep understanding of insurance processes including eligibility verification, authorization, claim submission, remittance, and allocation, ensuring accurate and timely claims processing. Strong interpersonal skills foster trusted client relationships, with expertise in identifying end-user pain points and designing solutions that streamline claims workflows.
• Active contributor to product design through impact analysis, timeline development, scope definition, and documentation, consistently enhancing product capabilities and user experience.

• Successfully led the design and implementation of Hospital Management Systems across multiple locations in the Middle East and Gulf regions, delivering tailored solutions for diverse healthcare facilities.
• Provided comprehensive training to doctors, nurses, billing staff, system administrators, and Revenue Cycle Management (RCM) users to ensure smooth adoption and optimal utilization of healthcare IT systems.
• Directed the Business Analyst team within Research and Development at Alphind Healthcare USA, spearheading the design and development of the Effective Care Intelligence (ECI) and Whole Person Care Intelligence (WPCI) applications.

• Saudi Arabia
• Malaysia
• UAE
• Qatar
• Jordan
• Lebanon