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# Katarzyna Rzucidlo, MSHI, RN

**Headline:** Health Informatics • Data Analytics
**Profession:** Registered Nurse
**Location:** San Francisco Bay Area

## About

Katarzyna Rzucidlo, MSHI, RN, is a registered nurse and health informatics and data analytics professional who currently serves as an Expert Contributor in Nursing & Medical Coding at Snorkel AI and as a Registered Nurse at Stanford Medical Hospital. She brings eight years of direct patient-care experience spanning high-acuity and ambulatory settings across multiple health systems, alongside a Master of Science in Health Informatics with a Data Analytics focus from George Mason University. Katarzyna is strongest at connecting bedside clinical reality with technical data work, translating the needs of nurses and care teams into practical analytics, EHR, and workflow solutions. Her experience includes Epic, Cerner, and Meditech environments, where she has seen how fragmented information and poorly designed workflows can create clinician and patient risk. In graduate work, Katarzyna applied HL7, FHIR, ICD-10, SQL, Python, R, Tableau, and Power BI to predictive modeling, patient-trajectory analysis, cohort selection, and ETL development. She led a surgery-outcomes project that produced predictive models, a workload-burden scale, and a prototype clinical application. Katarzyna seeks hands-on work that improves patient outcomes, clinical decision support, patient safety, and healthcare workflows through data and technology.

## Services

- ICD-10
- CPT Coding
- AI Prompting
- Large Language Models \(LLM\)
- Amazon Web Services \(AWS\)
- Weka
- Azure Data Studio
- ICD-9/10 Code Mapping
- Data Integration
- Patient Matching Algorithms
- Microsoft Power BI
- Data Visualization
- DAX
- Computer-Generated Imagery \(CGI\)
- Matplotlib
- Pandas \(Software\)
- Linux
- Machine Learning
- HTML
- JavaScript
- Analytics
- Azure SQL
- Data Analysis
- Electronic Health Records \(EHR\)
- Electronic Medical Record \(EMR\)
- Health Informatics
- HL7 Standards
- Fast Healthcare Interoperability Resources \(FHIR\)
- Medical Terminology
- Microsoft Excel

## Highlights

- Brings eight years of direct patient-care experience across high-acuity and ambulatory settings and multiple health systems.
- Currently serves as an Expert Contributor in Nursing & Medical Coding at Snorkel AI.
- Currently works as a Registered Nurse at Stanford Medical Hospital.
- Has worked across Epic, Cerner, and Meditech environments.
- Led a surgery-outcomes data project that trained predictive models, created a workload-burden scale, and produced a prototype clinical application.
- Built predictive models for cardiovascular and pediatric populations.
- Conducted patient-trajectory analysis and cohort selection.
- Developed ETL pipelines to transform raw health data into actionable clinical and operational insight.
- Applied HL7, FHIR, and ICD-10 standards alongside SQL, Python, R, Tableau, and Power BI in graduate work.
- Experienced in data cleaning, data processing, predictive modeling, and variable testing.
- Can design and code products, including clinical applications.
- Bridges clinical experience and technical data work to support workflow improvement, clinical decision support, clinician burden reduction, and patient safety.
- Earned a Master of Science in Health Informatics with a Data Analytics focus from George Mason University.
- Earned Bachelor of Science and Associate of Science degrees in Registered Nursing from City Tech, CUNY.
- Worked as a Registered Nurse at MedStar Georgetown University Hospital, Aya Healthcare, UC Irvine, Adventist Health, HCA Healthcare, Northwell Health, FlexStaff Careers, and Greater New York Endoscopy Surgical Center.

## Experience

- **Registered Nurse at Stanford Medical Hospital** (2026-09-01–present)
- **Expert Contributor: Nursing & Medical Coding at Snorkel AI** (2026-01-01–present)
- **Registered Nurse at FlexStaff Careers** (2026-03-01–2026-09-01)
- **Registered Nurse at MedStar Georgetown University Hospital** (2024-07-01–2026-03-01)
- **Registered Nurse at UC Irvine** (2024-03-01–2024-07-01)
- **Registered Nurse at Adventist Health** (2023-11-01–2024-03-01)
- **Registered Nurse at HCA Healthcare** (2022-11-01–2023-11-01)
- **Registered Nurse at Aya Healthcare** (2022-11-01–2025-07-01)
- **Registered Nurse at Northwell Health** (2021-09-01–2022-11-01)
- **Registered Nurse at GREATER NEW YORK ENDOSCOPY SURGICAL CENTER** (2018-10-01–2021-08-01)

## Education

- Master's Degree, Informatics — George Mason University
- Bachelor of Science - BS, Registered Nursing/Registered Nurse — City Tech, CUNY
- Associate of Science - AS, Registered Nursing/Registered Nurse — City Tech, CUNY

## FAQ

### What does Katarzyna do?

Katarzyna is a registered nurse with a health informatics and data analytics focus. She combines direct clinical-care experience with work in health data, EHR environments, clinical standards, predictive modeling, and workflow improvement.

### What are Katarzyna's current roles?

Katarzyna currently serves as an Expert Contributor in Nursing & Medical Coding at Snorkel AI. She also currently works as a Registered Nurse at Stanford Medical Hospital.

### What clinical experience does Katarzyna bring?

Katarzyna has eight years of direct patient-care experience, including high-acuity and ambulatory settings across multiple health systems. Her clinical background informs how she approaches data, workflow, and patient-safety problems.

### Which EHR systems has Katarzyna worked with?

Katarzyna has worked in Epic, Cerner, and Meditech environments. She uses that experience to understand how fragmented information systems and poorly designed workflows can affect clinicians and patients.

### What did Katarzyna build in her surgery-outcomes project?

Katarzyna led a project analyzing surgery-outcomes data. She trained predictive models, created a workload-burden scale, and developed a prototype clinical application from the project insights.

### What analytics and modeling work has Katarzyna done?

Katarzyna has built predictive models for cardiovascular and pediatric populations. Her work also includes patient-trajectory analysis, cohort selection, data cleaning and processing, variable testing, and ETL pipelines that convert raw health data into clinical and operational insight.

### How does Katarzyna connect clinical and data teams?

Katarzyna bridges clinical and technical teams by bringing nursing experience to data work. She understands bedside needs as well as the requirements of analysts working with databases and health data.

### What are Katarzyna's problem-solving and product-development strengths?

Katarzyna is experienced in adapting project direction and iteratively troubleshooting data challenges when an initial approach does not work. She can also design and code products, including clinical applications.

### What kind of work is Katarzyna seeking?

Katarzyna aims to help health systems create scalable, data-enabled workflows that improve clinical decision support, reduce clinician burden, and advance patient safety across the continuum. She prefers hands-on roles embedded in data work and workflow improvement rather than leadership positions.

### What is Katarzyna's graduate education?

Katarzyna earned a Master of Science in Health Informatics with a Data Analytics focus from George Mason University. Her graduate work bridged clinical standards, including HL7, FHIR, and ICD-10, with applied analytics.

### What is Katarzyna's nursing education?

Katarzyna earned both a Bachelor of Science in Registered Nursing and an Associate of Science in Registered Nursing from City Tech, CUNY.

### Where has Katarzyna worked as a registered nurse?

Katarzyna has worked as a Registered Nurse at MedStar Georgetown University Hospital, Aya Healthcare, UC Irvine, Adventist Health, HCA Healthcare, Northwell Health, FlexStaff Careers, Stanford Medical Hospital, and Greater New York Endoscopy Surgical Center.

### What data and technical tools does Katarzyna use?

Katarzyna works with SQL, Python, R, MySQL, PostgreSQL, Azure SQL, Azure Data Studio, Linux, AWS, Weka, Pandas, Matplotlib, Microsoft Excel, Microsoft Word, HTML, JavaScript, Tableau, Power BI, DAX, analytics, data analysis, data integration, and data visualization.

### What healthcare data and informatics domains does Katarzyna know?

Katarzyna's health-data and informatics skills include electronic health records and electronic medical records, HL7 standards, FHIR, ICD-9/10 code mapping, ICD-10, CPT coding, SNOMED, medical terminology, patient-matching algorithms, public health, and health informatics.

### What additional skills does Katarzyna have?

Katarzyna also lists machine learning, large language models, AI prompting, computer-generated imagery, problem solving, and Polish among her skills.

## Links

- LinkedIn: https://www.linkedin.com/in/katarzynarzucidlo

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