Improving interoperability between the PACS and EMR
Radiology Business
JUNE 23, 2023
Radiologists need better access to patient data stored in the electronic medical record, imaging IT expert Rik Primo explains.
Radiology Business
JUNE 23, 2023
Radiologists need better access to patient data stored in the electronic medical record, imaging IT expert Rik Primo explains.
AuntMinnie
MARCH 19, 2024
That pretty much summarizes how I felt after a full day walking the exhibit hall trying to assess the PACS and AI market at what is by all accounts an IT show. AI was the talk of the show with seemingly every other vendor promoting AI except those within the medical imaging community. “This is the story of two men who run. not to run.
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AuntMinnie
DECEMBER 12, 2023
There are a number of important issues to be aware of when it comes to service of software-based systems like RIS, PACS, electronic medical record (EMR), and other related systems. Most PACS vendors are moving to the Cloud to eliminate hardware-related issues, especially if they did not provide the hardware.
Imaging Technology
AUGUST 23, 2024
It has also been seamlessly integrated with existing picture archiving and communication systems (PACS) and electronic medical records (EMR) systems, and enabled timely and appropriate preventive care. HealthCCSng V2.0
Future Teleradiology
JANUARY 9, 2020
Teleradiology: part of comprehensive telehealth system When existing radiology department is not backed up, health care centers approach for help from teleradiologists. They should have PACS software as well. PACS is an electronic platform where radiology images that connected with medical automation systems.
REBEL EM
SEPTEMBER 11, 2023
Outcomes: Primary: Percent change in management decisions after introducing the Radiology Department RUQ US. A change in clinical course resulting from a discrepancy between POCUS and radiology department imaging only occurred in 2% of patients (not 10%).
Aidoc
APRIL 21, 2024
Radiology Radiologists leverage AI in healthcare to automate tasks and improve workflow efficiency. Because AI can analyze vast amounts of data – including imaging, medical records and radiology reports – it can identify potentially life-threatening conditions, like coronary artery disease, earlier.
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