HealthInsight Analytics traces its roots back to El Camino Health in Silicon Valley, where the first electronic medical record was implemented. It was here in decision support that three team members first met and honed their skills supporting the entire range of service lines and functions including long range planning, pro formas, dashboards, and machine learning. After initially parting ways, they later rejoined to address a gap in healthcare that exists between abundant data and actionable insights, which in turn improves healthcare outcomes while saving on cost.
The team has a breath and depth of experience working for companies like Mayo Clinic, Stanford Health Care, UCSF Health, and Deloitte, and brings this perspective to every opportunity to help health care systems deliver higher quality and more sustainable care for communities. The team philosophy remains the same as the early days, that substance matters more than style, and complex healthcare data can always be distilled into insights that are clear, straightforward, and actionable.
Advisory Team
Riyaz Mohammed, MS
Riyaz Mohammed brings over 15 years of experience in various aspects of Analytics and Business Intelligence (BI), with the past 13+ years focused on the healthcare industry. His professional journey has been marked by adaptability, self-driven determination, and a results-oriented approach. He has held key roles at Deloitte Consulting, the University of Arkansas for Medical Sciences (UAMS), Stanford Healthcare, and El Camino Health. In these positions, he has played a pivotal role in steering analytics, data management, and quality control initiatives across clinical, financial, and research settings.
His primary interest lies in the application of artificial intelligence (AI), machine learning, and predictive analytics within healthcare organizations. He is particularly passionate about how AI, through natural language processing (NLP) and machine learning (ML), is transforming care delivery. He believes these technologies will continue to advance rapidly over the next several years, significantly impacting patients, clinicians, and the industry, ultimately enabling meaningful improvements in the practice of medicine and healthcare over the next decade.
Mr. Mohammed holds a Master’s degree in Computer Science from the University of Arkansas and has completed multiple certifications in Data Science, Machine Learning, and Project Management from Berkeley University and Stanford University.
Nico Gutierrez, PhD
Dr. Gutierrez is a financial strategist with over 10 years of experience in Financial Planning & Analysis (FP&A) and Strategic Finance, specializing in healthcare. He has delivered results across academic medical centers, community hospitals, and California medical foundations, including Stanford Health Care, UCSF Health, and El Camino Health.
Driven by a belief in human connection, shared values, and purposeful leadership, Dr. Gutierrez was inspired by personal experiences with illness in his family. This has shaped his commitment to improving healthcare by equipping leaders with the critical decision-making tools needed to navigate complex challenges.
Dr. Gutierrez holds a Doctorate and Master’s in Health Administration from Oklahoma State University, and a Bachelor’s in Business Administration from Pepperdine University. His focus is on delivering sustainable, data-driven solutions that drive operational efficiency and meaningful healthcare transformation.
Tai Nakata, MS
Tai Nakata brings over a decade of experience in the healthcare industry, with expertise spanning accounting, finance, data analytics, and cloud data architecture. His career has been characterized by a seamless integration of technical proficiency and business acumen, enabling him to craft solutions that are both sophisticated and practical for business users.
Early in his tenure within healthcare finance, Tai identified a critical need for user-friendly analytical tools that could deliver tangible business insights. Motivated by this gap, he has dedicated himself to developing intuitive solutions that not only streamline operations but also empower informed decision-making.
Tai has held pivotal roles at distinguished institutions including Diagnostic Laboratory Services, Waikiki Health, El Camino Hospital, Providence St. Joseph Health, and Mayo Clinic, where his contributions have consistently driven operational excellence and innovation.