Difference between revisions of "Master Data Management in Health care"

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==Processes for MDM  ==  
 
==Processes for MDM  ==  
One of the biggest issues with master data in Healthcare is Data Quality which include duplication, lack of standardization, incomplete information.  This occurs due to multiple producers and consumers of the data both horizontally and vertically without management over the key data that is being generated in these systems. To implement a MDM program, healthcare organizations have to put certain key processes in place:
+
One of the biggest issues with master data in Healthcare is Data Quality which include duplication, lack of standardization, incomplete information.  This occurs due to multiple producers and consumers of the data both horizontally and vertically without management over the key data that is being generated in these systems. To implement a MDM program, healthcare organizations have to put certain key processes/initiatives in place: (5)
  
* Data Governance
+
* Data Governance - Data governance encompasses the management and ownership of data within an organization. It includes the people, processes and technology need to make sure the data is secure, accessible, available and used in an appropriate way.  Data Stewards who are essentially
 +
 The activities that ensure data-related work is performed according to policies and practices as
 +
established through governance.
 
* Data Integration
 
* Data Integration
 
* Data Remediation
 
* Data Remediation

Revision as of 02:39, 19 April 2016

Master Data Management (MDM) is the practice of cleansing, rationalizing and integrating data into an enterprise-wide “system of record” for core business activities (1). It is a discipline used to bring order and control to our data. Master Data is critical business data that is state driven and not event driven. This data is foundation to all business activities. Master Data can be divided into two categories(2):

  • Identity Data - such as patient, provider and location identifiers
  • Reference Data - which includes common linkable vocabularies such as ICD-9, DRG, SNOMED, LOINC, RXNorm and Ordersets.

Master Patient Index and the need for MDM

Mater Patient Index is the concept that is used to manage Patient data. It includes assigning a unique identifier for each patient that can then be used by other systems and applications to refer to a patient. With the implementation of niche systems such as Lab information System or a Radiology Information System and other custom applications as well as with the focus on interoperability and HIEs, matching data to the wrong patient is not only unusable but also dangerous. In addition to providing inadequate care, inefficiency and risking patient safety, the healthcare organization's reputation and resources are also at risk. Also, as organizations are looking to coordinate care whether via an Accountable Care Organization or a Patient Centered Medical Home, analytics can help gain a lot of insights with regard to interventions and strategy. Analytics needs a clean data set to be useful and hence it is extremely critical that master data be managed(4). Amongst all the data generated in Healthcare, patient is the most critical to start with but provider, location and other master data are extremely important too from an analytical perspective. Every organization will have to determine the value it will derive from management of a certain set of data before designating it as master data and including it in its MDM program.

Processes for MDM

One of the biggest issues with master data in Healthcare is Data Quality which include duplication, lack of standardization, incomplete information. This occurs due to multiple producers and consumers of the data both horizontally and vertically without management over the key data that is being generated in these systems. To implement a MDM program, healthcare organizations have to put certain key processes/initiatives in place: (5)

  • Data Governance - Data governance encompasses the management and ownership of data within an organization. It includes the people, processes and technology need to make sure the data is secure, accessible, available and used in an appropriate way. Data Stewards who are essentially

 The activities that ensure data-related work is performed according to policies and practices as established through governance.

  • Data Integration
  • Data Remediation


References

  1. MDM in the Context of Data Governance for Healthcare Management http://www.damachicago.org/wp-content/uploads/2012/01/DAMA-Spring2013-DG-and-MDM.pdf
  2. Master Data Management in Healthcare: 3 Approaches https://www.healthcatalyst.com/master-data-management-in-healthcare-3-approaches
  3. Healthcare Data Management for Providers https://www.informatica.com/content/dam/informatica-com/global/amer/us/collateral/white-paper/healthcare-data-management_white-paper_2117.pdf
  4. Prescription for Reducing Health Risks : One Dose Technology, One Dose Data Strategy http://www.business2community.com/health-wellness/prescription-reducing-health-risks-one-dose-technology-one-dose-data-strategy-0773304#Ff7PodT41d7Hdm9b.97
  5. Master Data Management within HIE Infrastructures: A Focus on Master Patient Indexing Approaches https://www.healthit.gov/sites/default/files/master_data_management_final.pdf