Check out and #peerreview this interesting #JMIR#Preprint: Estimating the Charlson Comorbidity Index From Privacy-Truncated Diagnosis Codes: Methodological Study Evaluating Computational Strategies in 507,949 Inpatient Encounters https://t.co/iXyqwQb3T4 #peerreview
Check out this interesting #JMIR#Preprint: Quantifying the Impact of Anonymization-Induced Clinical Data Quality Loss: A Methodological Case Study Using Primary Diagnosis Codes and Hospital Length of Stay https://t.co/BotrCQt3tx #digitalhealth via @jmirpub
Check out this amazing paper #JMIR#Preprint: Quantifying the Impact of Anonymization-Induced Clinical Data Quality Loss: A Methodological Case Study Using Primary Diagnosis Codes and Hospital Length of Stay https://t.co/BotrCQt3tx #digitalhealth via @jmirpub
Interesting #JMIR#Preprint: Evaluating and Enhancing the Fitness-for-purpose of EHR-Data in German Medical Data Integration Centers: Current practices and Pathway to an Automated Approach in the MIRACUM-Consortium https://t.co/VsS3NMitkP #digitalhealth via @jmirpub
Interesting #JMIR#Preprint: Evaluating and Enhancing the Fitness-for-Purpose of EHR-Data in German Medical Data Integration Centers: Current practices and Pathway to an Automated Approach in the MIRACUM-Consortium https://t.co/VsS3NMitkP #digitalhealth via @jmirpub
Check out this interesting #JMIR#Preprint: Data Quality- and Utility-compliant Anonymization of Common Data Model-harmonized Electronic Health Record Data: Protocol for a Scoping Review https://t.co/XPEOGwbin9 #digitalhealth via @jmirpub
Check out #peerreview this interesting #JMIR#Preprint: Data Quality- and Utility-compliant Anonymization of Electronic Health Record Data in the context of Multiple Common Data Models and Research Data Standard: Protocol for a Scoping Review https://t.co/v6x5O8yk4E #peerreview