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

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* Reference Data - which includes common linkable vocabularies such as ICD-9, DRG, SNOMED, LOINC, RXNorm and Ordersets.
 
* Reference Data - which includes common linkable vocabularies such as ICD-9, DRG, SNOMED, LOINC, RXNorm and Ordersets.
  
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==Evolution of MDM ==
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==Master Patient Index and the need for MDM ==
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Historically, the concept of MDM started with a focus on Master Patient list 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 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 list.  This functionality carried over as a key responsibility of the Health Information Management teams as EHRs were implemented with the concept of a Master Patient Index that included assigning a unique identifier for each patient and was used by other systems and applications to refer to a patient. However as healthcare organizations implemented more niche systems such as Lab information System or a Radiology Information System and other custom applications, data considered as master data is spread across and managed within these system silos (3).  and changing Healthcare landscape where organizations are using data to gain insights, it is become extremely critical that all master data be managed.  
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Mater Patient Index is the concept that is used to master 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. The risks not only include inadequate care, inefficiency and patient safety but also the healthcare organization's reputation and resources. 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)
  
 
==Issues with MDM in Healthcare ==  
 
==Issues with MDM in Healthcare ==  
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# Master Data Management in Healthcare: 3 Approaches https://www.healthcatalyst.com/master-data-management-in-healthcare-3-approaches
 
# Master Data Management in Healthcare: 3 Approaches https://www.healthcatalyst.com/master-data-management-in-healthcare-3-approaches
 
# 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
 
# 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
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# 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
 
[[Category: Interface, Usability and Accessibility]]
 
[[Category: Interface, Usability and Accessibility]]

Revision as of 02:10, 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 master 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. The risks not only include inadequate care, inefficiency and patient safety but also the healthcare organization's reputation and resources. 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)

Issues with MDM in Healthcare

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
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