Medical Informatics Rotation in Los Angeles, California

Location
Los Angeles, CA 90266
Specialty
Clinical Research, Medical Informatics
Hospital Affiliations
Cedars-Sinai Medical Center, Adventist Health, Torrance Memorial Medical Center
Clinical Exposure
Hands-On Outpatient
Price
$1600 / 4 Weeks

Attending Introduction

Earned their M.D. from Georgetown University Medical School, where they completed their Anesthesiology residency and served as Chief Resident. With over 20 years of experience, held leadership roles as Chairman and Vice-Chairman of two hospital departments and is a Diplomate of the American Board of Anesthesiology, now focusing on non-invasive pain management.

Beyond medicine, has led a high-tech career, publishing on computers in automated anesthesia, founding two software companies, and filing numerous patents. An Editor of the Psychology and Behavioral Science International Journal and a member of several pain management and medical societies.

Rotation Description

Medical informatics is the interdisciplinary field that integrates healthcare, technology, and data science to improve patient care, clinical workflows, and decision-making.

It focuses on the development and application of electronic health records (EHRs), clinical decision support systems (CDS), telemedicine, and artificial intelligence (AI) in healthcare.

By enhancing data management, interoperability, and predictive analytics, medical informatics helps optimize patient outcomes, reduce errors, and improve efficiency in healthcare delivery.


1. Orientation & Introduction to Medical Informatics

      • Overview of medical informatics and its role in healthcare
      • Introduction to electronic health records (EHRs) and health IT systems
      • Understanding Health Information Exchange (HIE) and interoperability
      • Overview of HIPAA, data privacy, and security regulations

2. EHR Systems & Clinical Decision Support (CDS)

      • Hands-on experience with EHR software
      • Understanding structured vs. unstructured data in EHRs
      • Exploring clinical decision support tools (CDS) and how they improve patient care
      • Introduction to order sets, alerts, and best practice advisories

3. Data Analytics & Population Health

      • Basics of healthcare data analysis and visualization
      • Introduction to predictive analytics and AI in medicine
      • Understanding how informatics supports population health management
      • Exploring public health informatics and disease surveillance systems

4. Workflow Optimization & Quality Improvement

      • Assessing clinical workflows and identifying inefficiencies
      • Learning how informatics improves patient safety and reduces medical errors
      • Exposure to Lean and Six Sigma principles in healthcare settings
      • Participating in quality improvement (QI) initiatives

5. Telemedicine & Digital Health

      • Understanding the role of telemedicine and remote patient monitoring
      • Exploring mobile health apps and wearable technologies
      • Introduction to virtual care models and their impact on healthcare delivery

6. Artificial Intelligence & Machine Learning in Healthcare

      • Basics of AI applications in medical informatics
      • Exposure to natural language processing (NLP) and big data analytics
      • Ethical considerations in AI-driven decision-making

7. Interoperability & Health Information Exchange (HIE)

      • Introduction to FHIR (Fast Healthcare Interoperability Resources) and HL7 standards
      • Understanding how data is shared across healthcare organizations
      • Role of informatics in care coordination and transitions of care

8. Research & Evidence-Based Medicine in Informatics

      • Conducting literature reviews on informatics-driven healthcare improvements
      • Exposure to clinical informatics research projects
      • Understanding the role of informatics in evidence-based medicine

9. Ethics, Policy, & Regulations in Medical Informatics

      • Overview of HIPAA, GDPR, and patient data protection
      • Ethical challenges in big data and AI in healthcare
      • Understanding regulatory frameworks for health IT adoption

10. Final Project & Presentation

    • Students may complete a small research project or case study
    • Present findings on how informatics improves patient care or healthcare efficiency
    • Reflection on key takeaways from the rotation

Typical Activities/Procedures

  • Electronic Health Records (EHRs) – Understanding EHR systems, workflows, and clinical documentation.
  • Clinical Decision Support (CDS) – Learning how alerts, order sets, and AI-driven recommendations enhance patient care.
  • Health Data Analytics – Analyzing healthcare data for trends, quality improvement, and population health.
  • Interoperability & Health Information Exchange (HIE) – Understanding data sharing, FHIR, and HL7 standards.
  • Telemedicine & Digital Health – Exploring virtual care platforms, mobile health apps, and remote patient monitoring.
  • Artificial Intelligence in Medicine – Introduction to AI, machine learning, and predictive analytics in healthcare.
  • Workflow Optimization & Quality Improvement – Identifying inefficiencies and improving clinical processes.
  • Data Privacy & Security – Understanding HIPAA, GDPR, and ethical considerations in handling patient data.
  • Informatics in Research & Evidence-Based Medicine – Utilizing data to support medical research and clinical decision-making.
  • Policy & Regulation in Health IT – Learning about healthcare informatics laws, regulations, and compliance requirements.

Letter of Recommendation

LORs are on the clinic’s letterhead.

Location & Schedule

*Exact address provided once signed up.
*Schedules change often and we recommend speaking with the office manager to have the most updated daily scheduling.

Mo 9AM - 6:00PM
Tu 9AM - 6:00PM
We 9AM - 6:00PM
Th 9AM - 6:00PM
Fr 9AM - 5:00PM
Sa Closed
Su Closed