Veerendra Nath Jasthi
Cloud-native infrastructure has evolved from a backstage support system to a strategic pillar for providing faster, more intelligent, and more moral patient care in today's digitally first healthcare environment. Veerendra Nath Jasthi is one of the most significant figures behind this change, as his groundbreaking work is subtly but significantly influencing the direction of clinical AI in the US.
The unseen force that really drives scalable innovation in the healthcare sector is infrastructure that is resilient, compliant, secure, and outcome engineered, even though AI models frequently take center stage. Every architectural choice Veerendra makes is clinical in nature rather than merely technical. According to him, "Infrastructure is no longer backstage; rather, it is the intersection of compliance, ethics, speed, and care delivery." He added, "I consider every engineering choice I make to be essentially a patient care choice."
Significant innovations have characterized Veerendra's transition from software to systems leadership. He is the creator of the Inovalon One® Platform's Natural Language Processing as a Service (NLPaaS), a system that handles more than 50 million unstructured medical documents each month. This platform has tripled the speed of AI deployment cycles, reduced manual abstraction workloads by 65%, and allowed national health payers to expedite risk adjustment and quality scoring at scale. In addition to automating important procedures, this infrastructure has allowed risk-bearing organizations to recapture millions of dollars in revenue.
Alongside NLPaaS, Veerendra also built Clinical Data Extraction as a Service (CDEaaS), a foundational system that handles more than 200,000 provider-submitted records every month. This platform automates the ingestion, normalization, and secure routing of structured clinical records. The result has been transformative: data processing turnaround times have dropped by 70%, extraction accuracy now exceeds 98%, and the system has saved more than a million dollars annually in operational overhead.
These achievements were made possible by his comprehensive modernization of the Inovalon One® Platform one of the largest healthcare data lakes in the nation. Under his guidance, the platform scaled to support over 100 million patient records and 40 billion medical events annually. By introducing infrastructure as code via Terraform and CI/CD automation, Veerendra brought down deployment times from weeks to under 24 hours, dramatically improving the organization's ability to serve 15+ enterprise clients.
His impact doesn't stop there. With the launch of ScriptMed® Cloud, a highly available and compliant infrastructure for specialty pharmacy workflows, he addressed the needs of time-sensitive prescription platforms. Trusted by major clients like Cardinal Health and AllianceRx Walgreens Prime, the platform supports millions of transactions monthly with 99.95%+ uptime and disaster recovery within ten minutes. Automation has reduced the maintenance burden by 40%, ensuring resilience and regulatory compliance without sacrificing speed.
Earlier, at HCA Healthcare, the professional played a pivotal role in building the Health Information Network (HIN) a federated data infrastructure that integrated over 11 domains, including clinical, HR, and financial systems, leveraging more than 30 Google Cloud Platform services. This platform now powers real-time data products that support value based care initiatives across thousands of hospitals and providers. One of the critical challenges he faced was embedding HIPAA compliance into AI workloads operating within a multi-tenant cloud environment. His solution was to design an isolated, tenant-aware architecture that combined encryption, access controls, and audit logging ensuring full compliance without compromising scalability or speed.
Behind every milestone lies a set of complex challenges. Veerendra has successfully tackled some of the most pressing infrastructure issues that healthcare IT has - isolated, policy driven infrastructure with encryption, audit logging, and access controls achieving 100% compliance with zero PHI leakage even under third party audits. Another challenge was overcoming infrastructure drift and configuration inconsistencies, which he solved through GitOps pipelines, policy checks, and rollback automation, reducing configuration drift by more than 90%.
A particularly formidable challenge was ingesting and normalizing unstructured clinical data at scale. The expert engineered strong ingestion pipelines using OCR, metadata extraction, and NLP validation, ultimately creating a system capable of processing 200,000 provider records monthly with 98%+ accuracy. This innovation alone saved over a million dollars in quality assurance and operations annually.
Perhaps one of his most groundbreaking contributions was introducing observability into legacy AI pipelines. At a time when there was little visibility, he built a monitoring framework that tracked model inputs, changes in behavior, predictions, and failures. This reduced issue resolution time by more than 50% and made the systems easier to audit and more reliable.
Furthermore, his work has received institutional recognition after being mentioned in a number of earnings calls, media briefings, and platform announcements, such as Inovalon's Q4 2018 and 2019 earnings calls, the launch of ScriptMed® Cloud's platform, and partnerships with Walgreens. His observations, however, go far beyond praise from the general public. Federated learning models, self-healing AI pipelines, and multi-cloud compliance layers that offer technical and ethical trust at scale, in his opinion, will define the future of healthcare AI.
He stresses, "Observability, governance, and compliance must be embedded, not bolted on. When lives are at stake, we cannot afford to treat infrastructure as an afterthought."
To Veerendra, infrastructure is not just about servers, pipelines, and code, it's about trust. It's about making the invisible work of data engineering visible through its outcomes: faster diagnoses, more reliable care, and lives saved.
"Logic alone is not code. It's faith. It's concern. It's effect. Every data pipeline has a patient, caregiver, or life at stake behind it," he emphasizes. "That is the duty we bear and the challenge we must accept."
