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Salem Hospital is a member of Mass General Brigham, founded by Brigham and Women’s Hospital and Massachusetts General Hospital.It maintains clinical collaborations with Massachusetts General Hospital, working together to offer advanced inpatient and outpatient care in the community including cancer care, cardiac care, pediatrics, OB/GYN, orthopedics, surgery, and urology services.
Some patient portal applications enable patients to register and complete forms online, which can streamline visits to clinics and hospitals. Many portal applications also enable patients to request prescription refills online, order eyeglasses and contact lenses , access medical records , pay bills, review lab results, and schedule medical ...
A radiological information system (RIS) [1] is the core system for the electronic management of medical imaging departments. The major functions of the RIS can include patient scheduling, resource management, examination performance tracking, reporting, results distribution, and procedure billing. [2]
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New patient care tower finished in 2008 Campus at night. Salem Hospital contains 454 hospital beds and serves an area of 350,000 people. [16] Thirty-five beds are skilled care patient beds while the remaining 419 are acute care beds. Service is provided to a three-county area that includes Marion, Yamhill, and Polk counties. [17]
Interventional radiology (IR) is a medical specialty that performs various minimally-invasive procedures using medical imaging guidance, such as x-ray fluoroscopy, computed tomography, magnetic resonance imaging, or ultrasound. IR performs both diagnostic and therapeutic procedures through very small incisions or body orifices.
A 2005 census of the state hospitals in Oregon (in Salem, Portland, and Pendleton) listed close to 750 patients. [58] In March 2005, the state closed the adolescent treatment ward of the Oregon State Hospital, [ 59 ] which now provides services only to people over the age of 18.
Imaging informatics within Cardiology aids in the molecular phenotyping of CV(Cardiovascular) diseases and unification of CV knowledge. [19] This means that through data extraction, imaging, and machine learning analysis of these data and images allow researchers to categorize diseases based on the characteristics or features discovered.