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Medical data market platforms and medical data trade demands of medical device companies.
Kim, Myung-Gwan; Lee, Inho; Han, HyunWook; Yu, Hyeong Won.
Afiliación
  • Kim MG; Department of Biomedical Informatics, Graduate School of Medicine, CHA University, Seongnam, South Korea.
  • Lee I; Institute for Biomedical Informatics, Graduate School of Medicine, CHA University, Seongnam, South Korea.
  • Han H; Department of Surgery, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, South Korea.
  • Yu HW; Department of Biomedical Informatics, Graduate School of Medicine, CHA University, Seongnam, South Korea.
Digit Health ; 10: 20552076241259871, 2024.
Article en En | MEDLINE | ID: mdl-38832103
ABSTRACT

Objective:

The significance of big data is increasingly acknowledged across all sectors, including medicine. Moreover, the trend of data trading is on the rise, particularly in exchanging other data for medical data to rejuvenate the medical industry. This study aimed to discern the facilitating factors of healthcare data trade.

Methods:

We assessed five medical data market platforms on October, 2022, based on three criteria (a) clarity in articulating the data for sale; (b) transparency in specifying the data costs; and (c) explicit indication that payment grants data access. This helped identify the traded medical data types. Additionally, we anonymously surveyed 43 representatives from medical device companies about their demand for medical data trading, achieving a response rate of 66%.

Results:

Of the medical data traded on these platforms, 93.34% was structured, while 5.66% was unstructured, indicating an imbalance. Although there was a higher demand for structured medical data, there was also interest in purchasing unstructured medical data.

Conclusion:

Unstructured big data are crucial for medical device development, fueling the demand for trading such data. Many stakeholders view the data market as essential and are willing to procure medical data. Consequently, medical device companies will need methods to acquire unstructured medical data for developing innovative and enhanced medical devices.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Digit Health Año: 2024 Tipo del documento: Article País de afiliación: Corea del Sur Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Digit Health Año: 2024 Tipo del documento: Article País de afiliación: Corea del Sur Pais de publicación: Estados Unidos