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

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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 the core 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):
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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.  From a healthcare perspective, Master Data can be divided into two categories(2):
  
 
* Identity Data - such as patient, provider and location identifiers  
 
* Identity Data - such as patient, provider and location identifiers  
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==Beginning Stages of MDM ==
 
==Beginning Stages of MDM ==
Historically, the concept of MDM started with a focus on Master Patient Index (MPI) which preceded technical systems. Duplicate and unclean patient information can impact the quality and safety of patient care being delivered and hence this function of making sure there was one patient record for every patient existed within the Medical Record or Health Information Management (HIM) department of the organization. For example, the same patient may have two medical records if they came in once with their given name and once with their nickname.  The department of Medical records is responsible for consolidating these patients manually making sure there was only one paper chart.  
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Historically, the concept of MDM started with a focus on Master Patient Index (MPI) which preceded EHRs. The realization that duplicate or missing patient information can impact the quality and safety of patient care being delivered,  the function of merging patient records and splitting records appropriately was embedded in the Medical Records Department department of the organization. A scenario where the same patient may have two medical records in case they came in once with their given name and once with their nickname was merged to be one paper chart by the Medical records personnel. Every healthcare organization managed their Master Patient Index.  This functionality carried over as a key responsibility of the Health Information Management teams as EHRs were implemented. 
  
 
== References ==
 
== References ==

Revision as of 22:04, 17 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. From a healthcare perspective, 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.

Beginning Stages of MDM

Historically, the concept of MDM started with a focus on Master Patient Index (MPI) which preceded EHRs. The realization that duplicate or missing patient information can impact the quality and safety of patient care being delivered, the function of merging patient records and splitting records appropriately was embedded in the Medical Records Department department of the organization. A scenario where the same patient may have two medical records in case they came in once with their given name and once with their nickname was merged to be one paper chart by the Medical records personnel. Every healthcare organization managed their Master Patient Index. This functionality carried over as a key responsibility of the Health Information Management teams as EHRs were implemented.

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