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Data Warehousing

A doctor with a tablet
By Kat Jercich | 01:07 pm | June 10, 2021
The Centers for Disease Control and Prevention's Dr. Daniel B. Jernigan says people are a vital component of interoperability efforts.
A pharmacist taking inventory
By Kat Jercich | 03:25 pm | June 08, 2021
Other recommendations include boosting local production, promoting research and development, and creating robust quality management maturity.
Dr. Eduardo Iturrate NYU Langone Medical Center analytics
HIMSS21
By Bill Siwicki | 01:00 pm | May 25, 2021
In a HIMSS21 educational session, the health system's medical director for analytics goes in-depth describing how its source-of-truth dataset and de-identified COVID-19 data repository have made an impact.
Two doctors looking at a computer during a meeting
HIMSS21
By Kat Jercich | 10:36 am | May 24, 2021
Aggregating information can disguise differences in the way different groups of vulnerable people access care – and prevent organizations from taking useful action.
Unstructured data
By Bill Siwicki | 12:28 pm | May 05, 2021
An AI expert reveals his gravest concerns with dangers lurking in the information in EHRs and other systems.
A person texting next to a bicycle
By Kat Jercich | 01:48 pm | May 03, 2021
The service is being launched alongside a vaccine finder website and a to-be-released 1-800 number to help connect individuals with appointments in their area.
HHS Secretary Xavier Becerra
By Kat Jercich | 12:49 pm | April 30, 2021
The organizations can use the money for health IT needs, training, technical assistance and providing preventive care. 
A doctor looks at a tablet with a patient looking over his shoulder
By Kat Jercich | 01:07 pm | April 26, 2021
The framework calls on the federal government to partner with other public health authorities and the private sector to ensure patient safety and security.
U.S. Capitol dome
By Kat Jercich | 11:22 am | April 22, 2021
"We don't need patchwork solutions. We need structural solutions," said Emanuel, a member of President Biden's COVID-19 advisory board, in a wide-ranging HITN interview.
A person drinking coffee in front of a computer screen
By Kat Jercich | 01:02 pm | April 05, 2021
A new MIT study found label errors that could destabilize machine learning benchmarks.