Improving lung cancer outcomes by integrating electronic health records
Official title: Integrating Multiple Electronic Health Records Systems to Improve Lung Cancer Outcomes
Funded at Stanford University · NIH-10886801 · Data updated 2026-11-12
This study is looking to help lung cancer survivors, especially those who have never smoked, by using health records to find out what increases their chances of getting another lung cancer and how those risks change over time, so they can get better care and screenings.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Stanford University NIH-funded |
| Lab location | 1 site (Stanford, United States) |
| Project start | July 12, 2023 |
| Project end | June 30, 2028 |
| Funding year | 2024 |
| Award (this year) | $611,784 |
| NIH project number | 5R01CA282793-02 |
| Project ID | NIH-10886801 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include lung cancer survivors, particularly those who have survived for five years or more and may be at risk for second primary lung cancer.
✕Less likely to help
Patients who are currently undergoing treatment for active lung cancer or those without a history of lung cancer may not benefit from this research.
What this research studies
This research aims to enhance the outcomes for lung cancer survivors by integrating multiple electronic health record (EHR) systems. It focuses on understanding the risk factors for developing second primary lung cancer (SPLC) and how these factors change over time, particularly for survivors who have never smoked. The study will utilize advanced data analytics to identify trends and improve screening practices, ensuring that survivors receive timely and effective care. By leveraging comprehensive health data, the research seeks to provide insights that can lead to better management of lung cancer survivorship.
Why it matters
Potential benefit: If successful, this research could lead to improved screening and treatment strategies for lung cancer survivors, potentially reducing the risk of developing second primary lung cancer.
How similar studies have gone: Other research has shown promise in using integrated health data to improve cancer outcomes, suggesting that this approach could be effective.
Where this research is happening
-
Stanford University
Stanford, United States Active
Researchers
- Principal investigator: Han, Summer S — Stanford University
- Study coordinator: Han, Summer S
Related research
Other NIH-funded projects on the same topics.
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Blood-based markers to identify lung cancer risk in never-smokers
A researchers team at NYU School of Medicine is testing blood tests that might flag higher lung cancer risk in people who have never smoked, helping decide who might need screening.
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Integrative Analysis of Lung Cancer Risk and Its Causes
A large, multi-part study at the University of New Mexico is exploring why lung cancer happens and how to better prevent and detect it.
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Integrative Analysis of Lung Cancer Risk and Causes
A large NIH project is exploring how tobacco use, behavior, biology, and screening practices influence lung cancer risk and outcomes to help prevent and detect it earlier.
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Digital health strategies to expand lung cancer screening in safety-net clinics
A funded project aims to help low-resource clinics increase the use of lung cancer screening for patients who smoke or are at risk.
-
Proteomics-guided matching of lung cancer tumors to preclinical models
This grant aims to improve how we match a patient’s lung cancer tumor to the right preclinical models using protein data.
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Optimizing lung cancer care with smart tools for prevention, early detection, treatment, and survivorship
A U01 grant using AI and biomarkers to improve lung cancer prevention, screening, treatment, and survivorship care for people at risk or living with lung cancer.
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.