AKASA Appoints Nirav Kamdar, MD, MPP, MBA, to Vice President of Clinical Strategy as AI Revenue Cycle Solutions Gain Momentum With Health Systems

Practicing physician and former health system executive brings clinical, quality, and operational expertise to accelerate innovation and impact

SOUTH SAN FRANCISCO, Calif. — June 4, 2026 — AKASA, the leading provider of generative AI solutions for the healthcare revenue cycle, today announced that Nirav Kamdar, MD, MPP, MBA, has joined the company as vice president of clinical strategy.

Dr. Kamdar is a practicing anesthesiologist and healthcare leader with deep experience across clinical care, quality improvement, patient safety, clinical operations, and health system strategy. In his role at AKASA, Dr. Kamdar will support product strategy and customer engagement, helping ensure the AKASA solutions reflect the realities of clinical care, documentation, coding, and revenue cycle operations.

AKASA has grown by more than 10x since launching its new suite of generative AI products for the healthcare middle revenue cycle in mid-2024. The customer base now represents more than $160 billion in aggregate net patient revenue across leading U.S. health systems such as Cleveland Clinic.

Before joining AKASA, Dr. Kamdar served as vice president of quality improvement and clinical operations at Huntington Health, an affiliate of Cedars-Sinai, where he led initiatives across quality improvement, patient safety, infection prevention, utilization management, patient flow, and clinical research. Previously, he spent more than a decade at UCLA Health, most recently as an associate clinical professor of anesthesiology, with additional leadership roles in quality, patient flow, and innovation.

His clinical experience gives him a firsthand view into one of healthcare’s most persistent operational challenges: the gap between the care delivered and what is captured in the medical record.

Just before joining AKASA, Dr. Kamdar was preparing a 26-year-old patient with a complex medical history for the operating room when he uncovered a rare condition buried deep within the chart. A critical diagnosis  had not surfaced in the usual preoperative documentation of the hospital encounter. Dr. Kamdar identified the issue only after speaking directly with the patient, then spent 45 minutes searching through the record to piece together the safe care plan.

For Dr. Kamdar, that experience underscored a broader problem: clinicians are accountable for information that may exist somewhere in the record, but is often difficult to find at the exact moment it matters most.

“Physicians want to focus on the person in front of them, but the modern clinical record has become massive, fragmented, and difficult to navigate,” said Dr. Kamdar. “I joined AKASA because this is one of the rare places where technology, clinical expertise, and revenue cycle knowledge are coming together to solve a real problem for health systems. When AI can surface the right information at the right time, it can support better documentation, more accurate coding, stronger quality capture, and ultimately a clearer patient story. All of which directly adjusts our care plans.”

The AKASA AI solutions are designed to analyze complex clinical documentation and support revenue cycle teams in accurately representing the care delivered. The company’s work focuses heavily on the mid-cycle, where clinical documentation improvement and medical coding depend on understanding the full patient record, including physician notes, labs, imaging, medications, vitals, and other clinical evidence.

“Dr. Kamdar brings exactly the kind of perspective healthcare AI needs,” said Malinka Walaliyadde, CEO and co-founder of AKASA. “He understands what it means to care for patients at the bedside, lead quality and operations inside a health system, and translate clinical complexity into systems that work. As we continue building AI that helps health systems capture the full patient story, Dr. Kamdar's physician lens will be invaluable to our products, our customers, and the broader conversation about where healthcare AI can make the greatest impact.”

Dr. Kamdar earned his MD from Stanford University School of Medicine, completed his anesthesiology residency at Harvard Medical School/Massachusetts General Hospital, and holds an MBA from UCLA Anderson School of Management and a Master of Public Policy from the University of Southern California. He will continue practicing clinically while serving in his role at AKASA.

Nirav Kamdar, MD, MPP, MBA

About AKASA

AKASA is the leading provider of generative AI for health systems, helping organizations capture the full value of the care they deliver. AKASA applies AI across the revenue cycle to review patient encounters, surface documentation and coding opportunities, and improve accuracy, reimbursement, quality capture, and operational efficiency.

Unlike rules-based tools or sampled reviews, AKASA builds custom large language models for each health system, trained on that organization’s clinical data, workflows, and documentation patterns. This allows AKASA to capture the nuance of each organization and deliver greater accuracy.

AKASA partners with leading health systems, including Cleveland Clinic, where its work has been recognized as “one of the most comprehensive real-world uses of GenAI in healthcare finance.”