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Developing a comprehensive database management system for organization and evaluation of mammography datasets.

Wu Y, Rubin DL, Woods RW, Elezaby M, Burnside ES - Cancer Inform (2014)

Bottom Line: A Health Insurance Portability and Accountability Act (HIPAA) compliant CMDB was created to store multi-relational datasets of demographic risk factors and mammogram results using the Breast Imaging Reporting and Data System (BI-RADS) lexicon.The CMDB collected both biopsy pathology outcomes, in a breast pathology lexicon compiled by extending BI-RADS, and our institutional breast cancer registry.Our procedure of developing the CMDB provides a framework to build a detailed data repository for breast imaging quality control and research, which has the potential to augment existing resources.

View Article: PubMed Central - PubMed

Affiliation: Department of Radiology, University of Wisconsin, Madison, WI, USA.

ABSTRACT
We aimed to design and develop a comprehensive mammography database system (CMDB) to collect clinical datasets for outcome assessment and development of decision support tools. A Health Insurance Portability and Accountability Act (HIPAA) compliant CMDB was created to store multi-relational datasets of demographic risk factors and mammogram results using the Breast Imaging Reporting and Data System (BI-RADS) lexicon. The CMDB collected both biopsy pathology outcomes, in a breast pathology lexicon compiled by extending BI-RADS, and our institutional breast cancer registry. The audit results derived from the CMDB were in accordance with Mammography Quality Standards Act (MQSA) audits and national benchmarks. The CMDB has managed the challenges of multi-level organization demanded by the complexity of mammography practice and lexicon development in pathology. We foresee that the CMDB will be useful for efficient quality assurance audits and development of decision support tools to improve breast cancer diagnosis. Our procedure of developing the CMDB provides a framework to build a detailed data repository for breast imaging quality control and research, which has the potential to augment existing resources.

No MeSH data available.


Related in: MedlinePlus

Microsoft access form for manual matching between mammography results and biopsy outcomes.
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Related In: Results  -  Collection


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f2-cin-suppl.3-2014-053: Microsoft access form for manual matching between mammography results and biopsy outcomes.

Mentions: We have automatic processes for both biopsy and registry matching if there is a single abnormality, a single biopsy, and a single registry record depicting the same location. If there is more than one record, or if the location description is missing or inconsistent, these cases are automatically flagged by Java computer programs, and manual resolution is performed, using the electronic medical record if necessary (Figs. 2 and 3). The relationship among abnormalities, biopsy pathology outcomes, and cancer registry is demonstrated in Figure 1.


Developing a comprehensive database management system for organization and evaluation of mammography datasets.

Wu Y, Rubin DL, Woods RW, Elezaby M, Burnside ES - Cancer Inform (2014)

Microsoft access form for manual matching between mammography results and biopsy outcomes.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4214592&req=5

f2-cin-suppl.3-2014-053: Microsoft access form for manual matching between mammography results and biopsy outcomes.
Mentions: We have automatic processes for both biopsy and registry matching if there is a single abnormality, a single biopsy, and a single registry record depicting the same location. If there is more than one record, or if the location description is missing or inconsistent, these cases are automatically flagged by Java computer programs, and manual resolution is performed, using the electronic medical record if necessary (Figs. 2 and 3). The relationship among abnormalities, biopsy pathology outcomes, and cancer registry is demonstrated in Figure 1.

Bottom Line: A Health Insurance Portability and Accountability Act (HIPAA) compliant CMDB was created to store multi-relational datasets of demographic risk factors and mammogram results using the Breast Imaging Reporting and Data System (BI-RADS) lexicon.The CMDB collected both biopsy pathology outcomes, in a breast pathology lexicon compiled by extending BI-RADS, and our institutional breast cancer registry.Our procedure of developing the CMDB provides a framework to build a detailed data repository for breast imaging quality control and research, which has the potential to augment existing resources.

View Article: PubMed Central - PubMed

Affiliation: Department of Radiology, University of Wisconsin, Madison, WI, USA.

ABSTRACT
We aimed to design and develop a comprehensive mammography database system (CMDB) to collect clinical datasets for outcome assessment and development of decision support tools. A Health Insurance Portability and Accountability Act (HIPAA) compliant CMDB was created to store multi-relational datasets of demographic risk factors and mammogram results using the Breast Imaging Reporting and Data System (BI-RADS) lexicon. The CMDB collected both biopsy pathology outcomes, in a breast pathology lexicon compiled by extending BI-RADS, and our institutional breast cancer registry. The audit results derived from the CMDB were in accordance with Mammography Quality Standards Act (MQSA) audits and national benchmarks. The CMDB has managed the challenges of multi-level organization demanded by the complexity of mammography practice and lexicon development in pathology. We foresee that the CMDB will be useful for efficient quality assurance audits and development of decision support tools to improve breast cancer diagnosis. Our procedure of developing the CMDB provides a framework to build a detailed data repository for breast imaging quality control and research, which has the potential to augment existing resources.

No MeSH data available.


Related in: MedlinePlus