Successful automated normalization of cancer outcomes for half a million patients across four disparate health systems
| Autor: | Paul D. Tittel, Ali Zaman, James E. Shima, David Leal, James Lin Chen, Aradhana Ghosh, Jonathan Hirsch, Jonathan C. Trent, Bat-Ami Gordon, Jared Cotta, Michael A. Thompson, Jennifer Godden, Antony Ruggeri, James Leighton Weese, Nadia Z Haque, Spencer C. Hoover, Steven N. Kalkanis |
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| Rok vydání: | 2018 |
| Předmět: |
Normalization (statistics)
Cancer Research medicine.medical_specialty business.industry Interoperability Electronic medical record 03 medical and health sciences 0302 clinical medicine Oncology Precision oncology 030220 oncology & carcinogenesis Medicine Medical physics business 030215 immunology Healthcare system |
| Zdroj: | Journal of Clinical Oncology. 36:e18763-e18763 |
| ISSN: | 1527-7755 0732-183X |
| DOI: | 10.1200/jco.2018.36.15_suppl.e18763 |
| Popis: | e18763Background: The lack of interoperability among different electronic medical record (EMR) systems remains a challenge to fulfilling the promises of precision oncology. Typically, cancer outcom... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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