Incomplete Comparisons Between the Predictive Power of Data From Administrative Claims and Electronic Health Records
- PMID: 29189575
- PMCID: PMC5766388
- DOI: 10.1097/MLR.0000000000000848
Incomplete Comparisons Between the Predictive Power of Data From Administrative Claims and Electronic Health Records
Conflict of interest statement
Conflict of interest statement: The authors declare no conflict of interest.
Comment in
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A Practical Comparison Between the Predictive Power of Population-based Risk Stratification Models Using Data From Electronic Health Records Versus Administrative Claims: Setting a Baseline for Future EHR-derived Risk Stratification Models.Med Care. 2018 Feb;56(2):202-203. doi: 10.1097/MLR.0000000000000849. Med Care. 2018. PMID: 29200132 No abstract available.
Comment on
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Comparing Population-based Risk-stratification Model Performance Using Demographic, Diagnosis and Medication Data Extracted From Outpatient Electronic Health Records Versus Administrative Claims.Med Care. 2017 Aug;55(8):789-796. doi: 10.1097/MLR.0000000000000754. Med Care. 2017. PMID: 28598890
References
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- Kharrazi H, Chi W, Chang HY, et al. Comparing Population-based Risk-stratification Model Performance Using Demographic, Diagnosis and Medication Data Extracted From Outpatient Electronic Health Records Versus Administrative Claims. Med Care. 2017;55:789–796. - PubMed
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- Wang Y, Luo J, Hao S, et al. NLP based congestive heart failure case finding: A prospective analysis on statewide electronic medical records. Int J Med Inform. 2015;84:1039–1047. - PubMed
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