In your quality incentive and value based contracts you have the ability to submit supplemental data for gap closures that are not credited by the health plan through normal channels . There is a signficant amount of revenue that will potentially be lost if this process is not identified and managed. To learn more about from Medical Informatix. For more details, please Call 212-979-0335 or email us at support@mifoinc.com https://mifoinc.com

1. What is Supplemental Data?
Using supplemental data analysis, you define categories and further define content that you want to
track for each category. Assume that you wish to record the delivery methods for your customers.
Delivery method is not a field in any of the defined master tables. Supplemental data may
encompass additional figures, tables, materials and methods, or other entities that add value to the
manuscript, but are not necessary to acknowledge the underlying research. Supplemental Data NY
should not be used to circumvent the word count or figure limits of a submission.
Supplemental data in the main falls into two categories: standard and non-standard, with very
circumstantial uses for each type. It’s essential to understand the different types of data and how
they can be used. Standard Supplemental Data NY refers to electronically generated files that come
from providers who furnished a particular service.
Standard supplemental data refers to electronically created files that come from providers who
rendered a peculiar service. Auditors will reappraise the policies and procedures related to the
management of standard supplemental data guaranteeing stability year to year, but these files are
not needed to be accompanied by proof-of-service documents unless demanded specifically by the
auditor.
Nevertheless, files must have standard file designing, standard data fields and industry-standard
codification, and must consider all elements required by measure specifications, including payment
status when practical. In order to increase use of standard supplemental data, provider type and
location of care must be accessible.
Non-standard supplemental data captures missing service data not acceptable through structured
electronic sources, like claims, encounters or other proceedings or standard supplemental sources.
Piece of data assembled by a plan, a provider, or a contracted vendor might reckon sources that are
not stable over time.
Organizations must have registered procedures for the collection of non-standard supplemental
data, considering clear policies and operations for collection and validation. In terms of audit
requirements for non-standard Supplemental Data NY, a sample of records selected by the auditor
must be verified by proof-of-service documentation, i.e., a copy of data from the member’s chart
from the service provider, or from the lawful health record. Proof-of-service software
documentation must identify that the service occurred within the time-frame needed by the
measure. Documentation that the assistance was ordered is inadequate for proof-of-service, and
there are assorted types of documentation that are not permitted, viewing member surveys.
As the case with standard supplemental data, non-standard supplemental data files must have all
data elements needed to meet criteria as noted in the criterion specifications, letting in payment
status when applicable. Although supplemental data may be gathered throughout the
measurement year and standard supplemental data can be accumulated through the end of the first
quarter, data aggregation for non-standard supplemental data must be accomplished by the
deadline defined in the Audit Timeline.
In addition to the circumstantial audits of standard and non-standard data, there are general-
purpose guidelines for audits of all supplemental data, which consider an annual review. At a
minimum, the annual review must have these units for each supplemental data source:

2. 1. A completed Supplemental Data section.
2. Impact of supplemental data source by measure
3. Primary source verification where requested by the auditor
4. A final certificate for supplemental data from a certified vendor
The best practice is to annually review all supplemental data sources to measure the value of the
data source comparative to the annual validation effort.