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Knowledge Management --       Data Mining a Healthcare DatabaseBrian L Rucco
Knowledge Management improves organizational performance.  It is a discovery of experiences by the organization.  It is a strategic goal.An  intellectual asset, Knowledge Management is developed by transforming the experiences -- data files, maintained by the organization.  It provides insights gleaned across organizational functional lines to reveal process and continuous improvements
The Building Blocks for Healthcare Business Intelligencemerging data across functional areas  createsa repository of service experiences applied to data mining tasks  for root cause analysis and gain information within performance indicator stats
Database containing data about every patient encounter performed by the facility.  Facility’s typically have multiple software applications – so  it is key to acquire event linkage information (data elements) to build a single significant file.  This enables the intermingling of the patient's demographic, clinical and financial information.Software tools for extracting detailed data within a statistic and from integrated databases.  It is significant to explaining patterns, trends, clusters discovered within the patient encounter databaseKnowledge Base of the healthcare industry (public policy thought, financing mechanisms, quality initiatives) to  present empirically based solutions.  Understanding these relationships provides insights and benchmarks  that are cogent for leadership and administrators alike.Core Components When Data Mining a Healthcare Database
Database  EssentialsBrianRucco.com
pt account #MRN – medical record numberadmits via the EDpatient safety  (infection, falls, med errors) per ICD-9Never Eventsprimary languageclinic visit historyED visitsnursing station locationscensus tract residenceemployment statusambsurg encountersPatient TypeReadmission StatusPrimary Care MDCare Provider IDstotal cost per case/per day estimatedenied payment dayspayment dates/amountsguarantor Informationexpected reimbursement amountpatient  co-paysAlternative Level of Care DaysTotal FTE staffingCPT codesHCPCS codesOther  DataContentConsiderationsBrianRucco.com
linking to  external sources   = Meaningful   Measurements
Insights Gleaned When Data Mining a Healthcare Encounter DatabaseBrianRucco.com Business Intelligence  ... Sound Advice

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Data Mining A Healthcare Database

  • 1. Knowledge Management -- Data Mining a Healthcare DatabaseBrian L Rucco
  • 2. Knowledge Management improves organizational performance. It is a discovery of experiences by the organization. It is a strategic goal.An intellectual asset, Knowledge Management is developed by transforming the experiences -- data files, maintained by the organization. It provides insights gleaned across organizational functional lines to reveal process and continuous improvements
  • 3. The Building Blocks for Healthcare Business Intelligencemerging data across functional areas createsa repository of service experiences applied to data mining tasks for root cause analysis and gain information within performance indicator stats
  • 4. Database containing data about every patient encounter performed by the facility. Facility’s typically have multiple software applications – so it is key to acquire event linkage information (data elements) to build a single significant file. This enables the intermingling of the patient's demographic, clinical and financial information.Software tools for extracting detailed data within a statistic and from integrated databases. It is significant to explaining patterns, trends, clusters discovered within the patient encounter databaseKnowledge Base of the healthcare industry (public policy thought, financing mechanisms, quality initiatives) to present empirically based solutions. Understanding these relationships provides insights and benchmarks that are cogent for leadership and administrators alike.Core Components When Data Mining a Healthcare Database
  • 6. pt account #MRN – medical record numberadmits via the EDpatient safety (infection, falls, med errors) per ICD-9Never Eventsprimary languageclinic visit historyED visitsnursing station locationscensus tract residenceemployment statusambsurg encountersPatient TypeReadmission StatusPrimary Care MDCare Provider IDstotal cost per case/per day estimatedenied payment dayspayment dates/amountsguarantor Informationexpected reimbursement amountpatient co-paysAlternative Level of Care DaysTotal FTE staffingCPT codesHCPCS codesOther DataContentConsiderationsBrianRucco.com
  • 7. linking to external sources = Meaningful Measurements
  • 8. Insights Gleaned When Data Mining a Healthcare Encounter DatabaseBrianRucco.com Business Intelligence ... Sound Advice