Praveen Shivaprasad

Engineering Director responsible for Triomics Product Implementations which includes both products (NLP, AI/ML features and functions) and associated interoperability platforms at Healthcare Organizations with overall responsibility for the direction, scope, cost, schedule, quality, and success of the projects.
Coordinate all project activities: software implementation training, and optimization, business and IT-related tasks, internal & external communications process improvement, and develop a plan for sustaining support.

Reporting to the CTO with the accountability of directing, and coordinating the analysis, development, testing, and implementation phase of AI Powered products and solutions
Engineering Director responsible for Triomics Product Implementations which includes both products (NLP, AI/ML features and functions) and associated interoperability platforms at Healthcare Organizations with overall responsibility for the direction, scope, cost, schedule, quality, and success of the projects
Coordinate all project activities: software implementation training, and optimization, business and IT-related tasks, internal & external communications process improvement, and develop a plan for sustaining support
Orchestrated the successful development and execution of hospital-wide data and analytics strategies, aligning with organizational objectives and driving data-driven decision-making at all levels
Led the integration of AI and Machine Learning models into research workflows, enhancing predictive analytics for augmenting patient matchich, recruitment, and resource utilization optimization
Led NLP-based projects to extract valuable insights from unstructured healthcare data, improving clinical documentation, and accelerating research through advanced text mining and sentiment analysis
Established collaborative frameworks between data science teams, healthcare providers, and IT departments, fostering an environment conducive to innovation and knowledge-sharing
Ensured compliance with healthcare data privacy regulations (HIPAA) while driving data initiatives, maintaining the highest standards of data security and confidentiality
Implemented robust data governance frameworks, ensuring the integrity, accuracy, and reliability of healthcare data across the organization, resulting in improved reporting and analytics
Proficient in leveraging a range of technologies, including Python, R, SQL, and various machine learning frameworks, to develop and deploy scalable and efficient analytics solutions
Led training programs to enhance the data literacy of healthcare professionals, empowering them to leverage analytics tools for improved patient care and operational efficiency

Orchestrated the successful development and execution of hospital-wide data and analytics strategies aligning with organizational objectives
Led the integration of AI and Machine Learning models into research workflows
Led NLP-based projects to extract valuable insights from unstructured healthcare data
Established collaborative frameworks between data science teams, healthcare providers, and IT departments
Ensured compliance with healthcare data privacy regulations (HIPAA)
Implemented robust data governance frameworks
Proficient in leveraging a range of technologies to develop and deploy scalable analytics solutions
Led training programs to enhance the data literacy of healthcare professionals

Enhance growth potential by directly reporting to the CEO with the accountability of directing, and coordinating the analysis, development, testing, and implementation phase of business intelligence and analytics solution
Drive positive business outcomes by creating effective solutions utilizing major cloud platforms (Google health, AWS Healthcare Cloud, and Microsoft Azure Cloud) and standards-based APIs
Develop and deploy advanced analytics solutions for big data and analytics maturity benchmarks as well as enterprise performance management
Delivered strategic direction to the product development team with the responsibility of a “Product Owner” using emerging data interoperability standards (such as FHIR, HL7, and CCDs) to create products focused on multiple use cases – Data archival
Monetized sales team managing processes to support RFPs/RFIs/Proposals/Preparing pitch presentations and driving client conversations
Worked with Marketing and Content Developers to create and publish Thought Leadership materials to share insights related to business, technology, and people in and around healthcare interoperability, data analytics, and advanced analytics
Created clinical quality models/population health-based preventive healthcare guidelines for managed care contracts and value-based contracting
Spearheaded all facets of the product-agnostic data connectors designing process through effective utilization of HL7 FHIR data modeling for Epic, eClinicalWorks, Meditech, Cerner Millennium, AllScripts, GE centricity, and a hosted of other EMRs
Managed several engagements with large hospital enterprises in the US for cloud adoption, data migration to cloud warehouses, enterprise data warehouse implementation, and analytics development using a range of business intelligence tool sets (Tableau, Looker, Power BI, Spotfire)
Managed the Cloud COE for Microsoft Data platform competencies which include Big Data, SQL server specialization, data sciences, and Power BI
Responsible for completion of 15 Gold data-analytics based Microsoft competencies because of 20+ Azure-based certifications
Consolidated data and analytics portfolios for Tufts Medicine (Boston-based healthcare enterprise) on a unified data platform
Responsible for conceptualizing, implementing, and support of this platform which is used in its current state to support multiple uses: Clinical Research (Supporting Cancer Care - breast cancer screening and diagnostic mammography – FHIR to OMOP mapping to support financial, patient satisfaction, and clinical quality measure data across many service lines
Responsible for conceptualizing, implementing, and support of this platform which is used in its current state to support multiple uses: AI, NLP & Machine Learning (Implementation and customization of Epic-based machine learning algorithms reducing inpatient readmissions, and others, NLP for disease surveillance, implementation using Azure-ML for disease intervention)
Responsible for conceptualizing, implementing, and support of this platform which is used in its current state to support multiple uses: Data Interoperability – Reporting and Extracts for 3rd party vendors, Data conversions
Responsible for conceptualizing, implementing, and support of this platform which is used in its current state to support multiple uses: Healthcare IoT – Integration of Medical devices for near real-time disease intervention and analytics for enhancing patient care
Responsible for conceptualizing, implementing, and support of this platform which is used in its current state to support multiple uses: Reporting and Analytics – Compliance and Regulatory reporting which includes JCAHPS, Hospital IQR reporting, Financial Audit, Patient experience, and others
Recruited and trained an analytics team to support multiple customers in the US building advanced analytics, business intelligence, quality, research, and data governance vertices
Participated in the initiation of the Data Governance program by forming Steering and Data Curation Committees
Leading teams to design and build a cloud-based enterprise data lake house

Held accountability for setting department goals for the development and implementation of organization-wide data warehousing and data-based applications
Drove the decision-making process and improved health outcomes through the development and implementation of advanced methodologies and technologies
Achieved predefined targets and increased productivity by heading cross-functional teams and vendor resources
Implemented continuous improvement operations and clinical initiatives by developing vision, strategy, and roadmap for healthcare analytics and application development
Devised plans and budgets considering internal work needs and operating units’ approved projects, while leading all aspects of IT operations within over a $2M budget for the division and $20M for the IT department
Maintained consistency in standards and utilized common systems by developing IT policies and procedures on a basis
Developed strategic plans to support data and analytics work, lead the management and coordination of internal professional development opportunities, provide support and training to all analysts and engineers, and help to troubleshoot data issues
Worked closely with data warehouse architects, data analysts, data scientists, and data engineers to generate seamless advanced analytics solutions using Big Data technologies (Hadoop-based Cloudera EDH and others) to solve business problems
Predictive Analytics for Healthcare staffing Improvement (RN Productivity improvement)
Real-time Alerting for Management of Chronic Diseases using Wearable Devices (IoT, FHIR) and EDW
Integrating patient data from EDW into Medical Imaging systems (IBM Merge) for enabling health insights
Digital Innovation: Enabling improved patient access by implementing telemedicine technology for the health system using VOIP technology and high-resolution medical diagnostic equipment (Dermatology)
Worked with Payer Contracting teams to produce several analytics use cases – specifically on Value- based contracts (CMS and Commercial Payers)
Cost & Utilization Management
Care & Risk management
ACO Quality Metrics
Disease Prediction and Prevention
Quality Reporting, Benchmarking
Network Management
Led the creation of strategic, operational, and financial metrics and key performance indicators to measure organizational performance across the health system
Oversaw the implementation of enterprise-wide dashboards for the entire health system including reports and visual dashboards incorporating critical operational and financial metrics
Facilitated the development of a diabetes management mobile application with customized health risk assessment tools integrating data into the enterprise data warehouse

Successfully designed and managed the implementation of self-service analytic technologies and data discoverability tools, and models by utilizing the visualization tools - Visual Studio and Microsoft SSRS
Formed strategic recommendations and implemented appropriate development methodology, and staffing levels within the APM IT department, which increased departmental effectiveness
Delivered strategic direction to a team of 20+ resources in technical and functional streams within the IT department to support NextGen and clinical and business application systems
Contributed to conducting diagnostic investigations of program errors and implemented or recommended solutions or methodologies for resolution
Oversaw the implementation of Microsoft Visual Studio-based dashboards for the clinical practice including reports and visual dashboards incorporating critical operational and financial metrics
Created digital marketing campaigns using B2B and B2C cohort analysis based on insights gained from customer and physician data in conjunction with the marketing department
Played a key role as a leader in providing technical leadership in the practice integration of IT systems and infrastructure for 2 large business acquisitions

Delivered strategic direction to the product development team
Monetized sales team managing processes
Worked with Marketing and Content Developers to create and publish Thought Leadership materials
Created clinical quality models/population health-based preventive healthcare guidelines
Spearheaded all facets of the product-agnostic data connectors designing process
Managed engagements with large hospital enterprises in the US for cloud adoption and analytics development
Managed the Cloud COE for Microsoft Data platform competencies
Consolidated data and analytics portfolios for Tufts Medicine on a unified data platform
Recruited and trained an analytics team to support multiple customers in the US

Developed strategic plans to support data and analytics work
Worked closely with data warehouse architects, data analysts, data scientists, and data engineers
Worked with Payer Contracting teams to produce several analytics use cases
Led the creation of strategic, operational, and financial metrics and key performance indicators
Oversaw the implementation of enterprise-wide dashboards
Facilitated the development of a diabetes management mobile application