View source for 17958247. PATIENT DATA CURATION simplified abstract (Cilag GmbH International)

=PATIENT DATA CURATION=


==Organization Name==

[[:Category:Cilag GmbH International|Cilag GmbH International]]


[[Category:Cilag GmbH International]]

==Inventor(s)==

[[:Category:Frederick E. Shelton, Iv of Hillsboro OH (US)|Frederick E. Shelton, Iv of Hillsboro OH (US)]][[Category:Frederick E. Shelton, Iv of Hillsboro OH (US)]]

[[:Category:Kevin M. Fiebig of Cincinnati OH (US)|Kevin M. Fiebig of Cincinnati OH (US)]][[Category:Kevin M. Fiebig of Cincinnati OH (US)]]

==PATIENT DATA CURATION - A simplified explanation of the abstract==


This abstract first appeared for US patent application 17958247 titled 'PATIENT DATA CURATION

==Simplified Explanation==

A medical data processing system may determine a utilization score of a dataset and associate it with the medical data in the dataset. The utilization score indicates the value of the dataset to a control program, which can be determined based on metadata associated with the dataset.

* The medical data processing system obtains a dataset containing medical data.
* It obtains an indication of a control program.
* It determines a utilization score of the dataset for the control program.
* The system associates the utilization score with the medical data in the dataset.
* The utilization score reflects the dataset's value to the control program, based on metadata associated with the dataset.

== Potential Applications ==
This technology could be applied in healthcare settings to optimize the use of medical data for specific control programs or applications.

== Problems Solved ==
This technology helps in efficiently determining the value of medical datasets for different control programs, allowing for better utilization of the data.

== Benefits ==
- Improved efficiency in utilizing medical data
- Better decision-making based on the value of datasets
- Enhanced performance of control programs

== Potential Commercial Applications ==
Optimizing medical data utilization in healthcare systems

== Possible Prior Art ==
One possible prior art could be systems that analyze metadata to determine the value of datasets for specific applications.

== Unanswered Questions ==
=== How does the system handle large volumes of medical data efficiently? ===
The article does not provide details on the scalability of the system for processing large amounts of medical data.

=== What security measures are in place to protect the medical data and utilization scores? ===
The article does not mention the security protocols implemented to safeguard the medical data and utilization scores from unauthorized access or breaches.


==Original Abstract Submitted==

A medical data processing system may associate a utilization score of a dataset with data in the dataset. For example, the medical data processing system may obtain a dataset including medical data. The medical data processing system may obtain an indication of a control program, and determine, for the control program, a utilization score of the dataset. The medical data processing system may associate the utilization score with the medical data in the dataset. The utilization score may indicate a level of valuableness of the dataset to the control program. For example, the medical data processing system may determine metadata associated with the dataset, retrieve the metadata associated with the dataset from a metadata repository, and determine the utilization score of the dataset based on the metadata associated with the dataset.



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[[Category:G06F16/907]]
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