University of California San Diego School of Medicine

La Jolla, San Diego, California, United States  All United States companies → — Founded 1968
AI Research Lab Clinical AI Platform Specialty-Focused AI
Critical Care Emergency Medicine Infectious Disease
Clinical Decision Support & Reference Triage & ER/ICU AI
N/A (as a public medical school, it receives grants and institutional funding)
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COMPOSER
University of California San Diego School of Medicine
Clinical Decision Support & Reference
COMPOSER is a sophisticated deep learning AI algorithm developed by UC San Diego School of Medicine for the early prediction of sepsis in emergency and inpatient settings. It analyzes over 150 real-time patient variables to identify sepsis before clinical manifestations, leading to a significant reduction in mortality and improved treatment compliance.
Contact for pricing

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About University of California San Diego School of Medicine

The University of California San Diego School of Medicine is a leading academic institution dedicated to advancing health through transformative research, innovative medical education, and compassionate clinical care. It is the only medical school in the San Diego metropolitan area and is closely affiliated with UC San Diego Health. The school emphasizes a strong scientific foundation coupled with clinical training, aiming to produce visionary leaders prepared to address evolving challenges in healthcare and biomedical landscapes.

UC San Diego School of Medicine is at the forefront of integrating artificial intelligence into healthcare. The institution views AI as a core operating model, moving beyond point solutions to embed AI into governance structures, workflows, and patient care. Their approach prioritizes patient privacy, safety, equity, and ethical standards, ensuring that AI tools support, rather than replace, the expertise of care teams. The school actively researches and implements AI for various applications, including earlier detection of diseases like sepsis and cancer, improving efficiency through AI-drafted notes and patient messaging, and optimizing treatment strategies.

Focus Areas

AI in healthcare predictive AI generative AI clinical decision support sepsis detection cancer treatment prediction ambient AI scribing patient messaging operational efficiency medical research digital health precision health women's brain health opioid addiction

Business Intelligence

TechnologyCloud-native (UC San Diego's existing Health Data Cloud), AI deployment platform, Notable's Flow Builder interface

What Physicians Need to Know

AI in Healthcare & Medical Research
UC San Diego School of Medicine is a leader in applying AI to various healthcare challenges, including early disease detection, personalized treatment plans, and improving operational efficiency. They are actively involved in medical research utilizing AI to understand complex biological processes and develop innovative interventions.
Predictive AI
They specialize in developing predictive AI models for critical conditions like sepsis, demonstrating a 17% reduction in mortality by identifying at-risk patients hours before clinical manifestations. Additionally, they are developing AI models to predict opioid addiction in high-risk patients by analyzing genetic, biological, and environmental factors.
Generative AI
UC San Diego Health is a pioneer in using generative AI within their Epic EHR system to assist physicians in drafting empathetic and comprehensive responses to patient messages, aiming to reduce physician burnout and improve communication quality. They also use generative AI for quality measurement to accurately assess care in a timely manner.
Clinical Decision Support
Their AI tools, such as the COMPOSER model for sepsis detection, provide real-time data analysis and alerts to nursing staff via EHR, supporting quicker and more appropriate treatment plans. They are also developing an AI-driven tool for women's brain health to support clinical decision-making by integrating female-specific risk factors, biomarkers, neuroimaging, and clinical data to predict dementia risk.
Sepsis Detection
UC San Diego School of Medicine has developed and implemented the COMPOSER AI algorithm, which continuously monitors over 150 patient variables in emergency departments and inpatient units to predict sepsis onset 4-6 hours earlier than traditional methods, leading to a significant reduction in mortality.
Cancer Treatment Prediction
Researchers have developed AI models, including 'MutationProjector,' that analyze a tumor's complex genetic profile (over 30,000 tumors across 10 cancer types) to predict how it will respond to chemotherapy and immunotherapy, aiming for more personalized and effective cancer treatments. They also have a new AI protocol, DeepHRD, for rapid, low-cost detection of genomic alterations from tumor biopsies to guide precision therapy for breast and ovarian cancers.
Ambient AI Scribing
UC San Diego Health is actively piloting AI scribes in multiple clinical departments to draft summaries during clinical visits, aiming to reduce documentation burden for physicians and allow them to focus more on patient interaction.
Patient Messaging
They are among the first health systems to integrate generative AI (GPT-4) into their Epic EHR system to draft empathetic responses to non-emergency patient messages, helping physicians manage the high volume of communications and reduce cognitive burden.
Operational Efficiency
AI is used to streamline manual processes like quality measure abstraction and CMS reporting, enabling near-real-time quality assessments, lowering administrative costs, and improving overall healthcare delivery. AI forecasting models also help anticipate busy days to optimize patient flow and room assignments.
Digital Health & Precision Health
UC San Diego School of Medicine is at the forefront of digital health, leveraging advanced technologies like AI for personalized cancer care and developing an AI platform to integrate models across the health system for improved patient safety, quality, efficiency, and equity.
Women's Brain Health
They are conducting significant research into women's brain health, including how menopause and hormone therapy affect dementia risk, and developing AI-driven tools to identify women at highest risk for dementia by integrating female-specific risk factors and neuroimaging data.
Opioid Addiction
UC San Diego School of Medicine is developing an AI model to more accurately predict opioid addiction in high-risk patients, utilizing generative AI and considering genetic, biological, and environmental factors. This initiative is part of a $50 million global effort to combat the opioid epidemic.
Physician Tip

For physicians, UC San Diego School of Medicine's AI initiatives offer significant advantages. The predictive AI for sepsis (COMPOSER) provides early alerts, enabling timely interventions and improving patient outcomes. The generative AI for patient messaging, integrated with Epic EHR, helps alleviate the cognitive burden of responding to numerous messages by providing empathetic drafts, allowing physicians to focus on more complex patient care. The AI models for cancer treatment prediction, like MutationProjector, offer more personalized treatment strategies by interpreting complex tumor genetics, potentially leading to better patient responses. Furthermore, ambient AI scribing aims to reduce documentation time, freeing up physicians to engage more directly with patients. The institution emphasizes transparency in AI use, with AI-generated replies clearly labeled for physician review and editing.

UC San Diego Health actively integrates its AI solutions within existing healthcare systems, notably utilizing Epic EHR for generative AI in patient messaging and sepsis detection alerts. Their AI platform is designed to support the training, deployment, and integration of AI models across the entire health system, with a mission to expand to other universities and institutions. They also collaborate with technology partners like Epic Systems and Microsoft for AI implementation.

Products by University of California San Diego School of Medicine

1 product in the directory

COMPOSER
University of California San Diego School of Medicine
Clinical Decision Support & Reference
COMPOSER is a sophisticated deep learning AI algorithm developed by UC San Diego School of Medicine for the early prediction of sepsis in emergency and inpatient settings. It analyzes over 150 real-time patient variables to identify sepsis before clinical manifestations, leading to a significant reduction in mortality and improved treatment compliance.
Contact for pricing

What the Web Says

The University of California San Diego School of Medicine (UCSD School of Medicine) is a highly-regarded institution, consistently ranked among the top medical schools in the U.S. for both research and primary care. It is known for its rigorous curriculum, cutting-edge research, and commitment to training compassionate physicians. Employer reviews indicate a generally positive work environment with good benefits, but some employees report issues with pay and heavy workloads.

Overall: Positive

Strengths

  • Highly-ranked medical school for research and primary care
  • Integrated science curriculum with clinical medicine throughout all four years
  • Flexibility in curriculum to meet student needs and goals
  • Abundant research opportunities, particularly in biomedical sciences
  • Strong emphasis on health-equity training and serving diverse communities
  • Good benefits for career employees

Limitations

  • Highly selective admissions with a low acceptance rate
  • Can be difficult for premed students to obtain research or clinical experience due to high demand
  • Some employees report low pay, especially compared to the cost of living in San Diego
  • Heavy workload for some employees, particularly research assistants
  • Bureaucratic administrative organization
  • Some departments within UCSD Health may have toxic work cultures

Based on reviews from: Medical School HQ, Reddit, Niche, Admit.org, Indeed, U.S. News & World Report, Jotform Blog, DocHub, Preceptorly, Facebook, International Medical Aid

Last updated: 2026-09-19

Videos

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Press & Coverage

UC San Diego Health
Study Finds Why Young Adults May Develop Early Fatty Liver Disease
Researchers at UC San Diego School of Medicine have published the first study to define early-onset cirrhosis caused by metabolic dysfunction-associated steatotic liver disease (MASLD), finding a distinct risk profile in younger adults. The study, published in Clinical Gastroenterology and Hepatology, suggests that genetics and type 2 diabetes are key factors, which could lead to earlier screening and treatment for liver cancer.
2026-09
UC San Diego School of Medicine
The Imagination Advantage: A Conversation with Cassandra Vieten
This article features a conversation with Cassandra Vieten, a UC San Diego faculty member, discussing the advantages of imagination. The piece is part of the School of Medicine's news and feature stories.
2026-09
UC San Diego School of Medicine
Practice Before the Pressure Is On
This news feature from UC San Diego School of Medicine highlights the importance of practice in high-pressure situations, likely in a medical training context. It is listed among recent press releases and feature stories.
2026-09
UC San Diego School of Medicine
Pilot Grant Supports New Research in Understanding of Endometriosis
A new pilot grant has been awarded to support research into understanding endometriosis, as announced by the UC San Diego School of Medicine. This funding aims to advance knowledge in this area.
2026-09
UC San Diego Health
UC San Diego Researchers Study Physician Edits to AI-Drafted Messages
UC San Diego Health researchers studied how physicians edit AI-generated patient messages, providing insights into the human role in AI healthcare and areas for AI optimization. The study, published in NEJM AI, found that all 15 edit categories were associated with longer response times, with scheduling and providing lifestyle guidance being the most frequent edits.
2026-09
UC San Diego School of Medicine
UC San Diego Receives Up To $11.3 Million to Develop Smarter Red Blood Cells
UC San Diego researchers have been awarded a DARPA contract worth up to $11.3 million to redesign red blood cells for temporarily boosting human performance. This funding aims to advance biomedical capabilities.
2026-08
U.S. Department of Justice
Justice Department Finds University of California San Diego Medical School Discriminates Based on Race in Admissions
The Justice Department's Civil Rights Division found that UC San Diego School of Medicine used race in its admissions process, violating Title VI of the Civil Rights Act of 1964 and the Supreme Court's 2023 decision. The investigation alleged that the school manipulated applicant data to increase racial diversity, favoring Black and Hispanic applicants over white and Asian applicants with higher credentials.
2026-07
UC San Diego Health
UC San Diego Launches Institute for Applied Health Intelligence
UC San Diego announced the establishment of the Institute for Applied Health Intelligence, a multidisciplinary hub leveraging AI and digital technology to improve healthcare delivery and patient outcomes. The institute aims to transform health data into practical insights and unify experts across various academic schools and UC San Diego Health.
2026-07

Frequently Asked Questions

UC San Diego School of Medicine is actively using AI for clinical decision support. For sepsis detection, they developed the COMPOSER AI model, which monitors over 150 patient variables in real-time to predict sepsis onset before obvious clinical manifestations, leading to a 17% reduction in mortality. In cancer treatment, researchers have developed AI models like MutationProjector to analyze tumor genetic profiles and predict how cancers will respond to various treatments, including chemotherapy and immunotherapy, aiming for more personalized and effective therapies.
UC San Diego School of Medicine is a pioneer in using generative AI for patient messaging within the Epic Systems electronic health record. This AI drafts empathetic replies to patient messages, which physicians can then edit, aiming to relieve cognitive burden and improve communication quality, though it hasn't significantly reduced physician response time. They are also piloting ambient AI scribing tools, such as Nuance's Dragon Ambient eXperience (DAX) Copilot, to automatically transcribe patient interactions into EHR notes, with the goal of reducing documentation time and physician burnout.
UC San Diego School of Medicine is developing an AI model to predict opioid addiction in high-risk patients, funded by a $50 million initiative from Wellcome Leap. This generative AI model will use genetic, biological, and environmental patient data to assess addiction risk, with the ultimate goal of developing a commercially available genomic and microbiome panel (MODUS and MICROUD) for clinicians to assess opioid addiction and integrate automated approaches into EHR systems for real-time risk predictions.
UC San Diego School of Medicine is at the forefront of digital and precision health. In women's brain health, they are developing an AI-driven tool to support clinical decision-making by integrating female-specific risk factors, biomarkers, neuroimaging, and clinical data to predict dementia risk. For cancer care, they have launched a Master of Advanced Studies in Precision Medicine Therapeutics in Oncology program, training professionals to leverage genetics, data science, and AI-driven diagnostics for personalized cancer treatments.
UC San Diego School of Medicine's AI initiatives are supported by significant partnerships and funding. For instance, their opioid addiction prediction project is funded through a three-year contract with Wellcome Leap. They also receive major grants from Wellcome Leap CARE and other organizations for women's brain health research. Their collaboration with Epic Systems for generative AI in patient messaging also highlights key industry partnerships. This diverse funding and strategic collaborations indicate a strong commitment to advancing AI in healthcare and suggest a stable foundation for future innovation and development.

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