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Business Intelligence (BI) Significant Role in Electronic Health Records - Cancer Surgeries Prediction: Case Study


Affiliations
1 Department of Information Systems center Egyptian Organization for Standardization & Quality, Egypt
2 Department of Information Systems, Faculty of Computers & Information Helwan University, Egypt
 

Medical datasets reflect a great environment as they integrate analyses of structured and unstructured data that holds several benefits for medical sector. With a continues demand for implementing Electronic Health Records (EHRs), there is a relative requirement for utilizing data mining (DM) techniques to find out useful data, unknown patterns and inference rules from data stored in EHRs which help in a real-time decisions making process and prove-based practice for medical providers and experts. Business Intelligence (BI) is a technology able to process the huge data inside EHRs repository for enhancing the quality of medical delivery. DM is data processing techniques that considered a critical part of the BI platform. In this paper, we highlight significance of the BI integration with the EHRs to aid medical providers and professionals in real- time detection and prediction for several diseases. For more explanation, we apply BI technology with support of clustering technique as one of DM methods, for cancer surgeries prediction to prove the power of cooperating BI and EHRs in medical area.

Keywords

Business Intelligence (BI), Electronic Health Records, Data Mining, Cancer Surgeries Prediction.
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  • Business Intelligence (BI) Significant Role in Electronic Health Records - Cancer Surgeries Prediction: Case Study

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Authors

Amira Hassan Abed
Department of Information Systems center Egyptian Organization for Standardization & Quality, Egypt
Mona Nasr
Department of Information Systems, Faculty of Computers & Information Helwan University, Egypt

Abstract


Medical datasets reflect a great environment as they integrate analyses of structured and unstructured data that holds several benefits for medical sector. With a continues demand for implementing Electronic Health Records (EHRs), there is a relative requirement for utilizing data mining (DM) techniques to find out useful data, unknown patterns and inference rules from data stored in EHRs which help in a real-time decisions making process and prove-based practice for medical providers and experts. Business Intelligence (BI) is a technology able to process the huge data inside EHRs repository for enhancing the quality of medical delivery. DM is data processing techniques that considered a critical part of the BI platform. In this paper, we highlight significance of the BI integration with the EHRs to aid medical providers and professionals in real- time detection and prediction for several diseases. For more explanation, we apply BI technology with support of clustering technique as one of DM methods, for cancer surgeries prediction to prove the power of cooperating BI and EHRs in medical area.

Keywords


Business Intelligence (BI), Electronic Health Records, Data Mining, Cancer Surgeries Prediction.

References