CLINICAL APPLICATIONS AND DATA MINING
| Autor: | Marco Chiesa, David E. Robbins |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Association rule learning
Quality healthcare business.industry health care facilities manpower and services Legislation social sciences Patient data medicine.disease Clinical decision support system Incentive health services administration Health care medicine ComputingMilieux_COMPUTERSANDSOCIETY Medical emergency business Medical patient health care economics and organizations |
| Zdroj: | Biomedical Engineering ISBN: 9781461401155 |
| Popis: | As the quantity of medical patient data available to the number of physicians increases, Electronic Healthcare Record (EHR) systems become a necessity for providing more reliable and better quality healthcare [1]. The benefit of using EHR’s is dramatic enough that several nations, including the United States, have enacted legislation to provide strong incentives encouraging the use of Electronic Healthcare Records (EHR), as well as penalties for failing to use them [2]. These factors combine to make the adoption of EHR over paper-based systems inevitable. As the use of EHR increases, biomedical practitioners should be expected to make the best possible use of the wealth of computable patient data EHR systems will contain. |
| Databáze: | OpenAIRE |
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