Impact of COVID-19 Vaccine Administration on Radiology Department Workflow: A Single Academic Center Experience

Computed Tomography (CT) is the most commonly used imaging modality in the evaluation of cerebral hemorrhage in the head trauma patients. Objective: To study the incidence of a cerebral hemorrhage in traumatic patients using computed tomography. Method: This retrospective study was conducted at King Khalid hospital in Tabuk city, Saudi Arabia, in the radiology department, in the period from September 2018 to April 2020. The study was done by collecting 471 CT reports of patients all of them were exposed to head trauma with deferent reasons. The data were analyzed by Statistical Package for the Social Sciences (SPSS) program (ver. 20) and presented in tables and graphs according to the checklist which includes: patient age, gender, type of trauma, CT finding, and type of hemorrhage. Results: The most age group suffered from head trauma was less than 20 years percentage (55%), The male patients more exposed to head trauma than female patients with percentage (84.5%), the road traffic accident (RTA) is the most common type of trauma by percentage (63.5%), according to the CT finding; the cerebral hemorrhage represented (15.5%) with the highest percentage in a subdural hematoma (31.2%), the fracture represented (2.8%) while the normal appearance represented (81.7%) as the highest percentage. Conclusion: Most of the traumatic brain injury in patients caused cerebral hemorrhage and the CT scan reports show that: the common type of cerebral hemorrhage is subdural hematoma and it is common in males which exposed to (RTA) in the age group (21 - 40) years old.

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MRI finding among patients presented to the radiology department compelling of headache

International Journal of Medicine in Developing Countries ◽

10.24911/ijmdc.51-1578905742 ◽

2020 ◽

pp. 735-739

Author(s):

Ahmed Hakami ◽

Ahmed Kamli ◽

Abdullah Rayyani ◽

Khalid Gadri ◽

Arwa Moafa

Keyword(s):

Radiology Department

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Developing an Artificial Intelligence Project in your Radiology Department

Indian Journal of Musculoskeletal Radiology ◽

10.25259/ijmsr_50_2019 ◽

2020 ◽

Vol 2 ◽

pp. 58-61 ◽

Cited By ~ 1

Author(s):

Syed Junaid ◽

Asad Saeed ◽

Zeili Yang ◽

Thomas Micic ◽

Rajesh Botchu

Keyword(s):

Neural Network ◽

Artificial Intelligence ◽

Health Care ◽

Deep Learning ◽

Learning Algorithms ◽

Radiology Department ◽

Short Article ◽

Computing Power ◽

Road Map ◽

Key Concepts

The advances in deep learning algorithms, exponential computing power, and availability of digital patient data like never before have led to the wave of interest and investment in artificial intelligence in health care. No radiology conference is complete without a substantial dedication to AI. Many radiology departments are keen to get involved but are unsure of where and how to begin. This short article provides a simple road map to aid departments to get involved with the technology, demystify key concepts, and pique an interest in the field. We have broken down the journey into seven steps; problem, team, data, kit, neural network, validation, and governance.

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Magnetic Resonance Imaging of Pseudo-impingement of Rotator Cuff with Strength Training

10.25259/ijmsr_21_2019 ◽

2019 ◽

Vol 1 ◽

pp. 2-6

Author(s):

Asad Naqvi ◽

Timothy Ariyanayagam ◽

Mir Akber Ali ◽

Akhila Rachakonda ◽

Hema N. Choudur

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Rotator Cuff ◽

Strength Training ◽

Radiology Department ◽

Resonance Imaging ◽

Subacromial Space ◽

History Of ◽

Magnetic Resonance Imaging Mri ◽

Training Exercises

Objective: The objective of this study was to outline a novel unique concept of secondary impingement of the muscles, myotendons, and tendons of the rotator cuff from hypertrophy as a result of strength training exercises. Methods: In this retrospective observational study, 58 patients were referred for an magnetic resonance imaging (MRI) by the orthopedic surgeon to the radiology department over a period of 1½ years. All patients gave a history of strength training exercises and presented with clinical features of rotator cuff impingement. Results: We identified features of hypertrophy of rotator cuff muscles, myotendons, and tendons in 12 of these 58 patients. This was the only abnormality on MRI. The hypertrophy of rotator cuff muscles and tendon bulk completely filling the subacromial space to the point of overfilling and resulting in secondary compressive features. Conclusion: Rotator cuff impingement is a common phenomenon that can occur with various inlet and outlet pathological conditions. However, rotator cuff impingement may also result from muscle and tendon hypertrophy from strength training regimens. Hypertrophy of the rotator cuff can result in overfilling of the subacromial space, leading to secondary impingement, which we have termed as “pseudo-impingement.”

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Ultrasound and Immunological Findings in Patients With Shoulder Injury Related to Vaccine Administration (SIRVA)

Case Medical Research ◽

10.31525/ct1-nct04236193 ◽

2020 ◽

Author(s):

Keyword(s):

Shoulder Injury ◽

Vaccine Administration

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RETROSPECTIVE ANALYSIS OF PATIENT REFERRALS FOR COMPUTED TOMOGRAPHY

BULLETIN OF SURGERY IN KAZAKHSTAN ◽

10.35805/kazsurgery.bsk.2018.4.5-7 ◽

2018 ◽

pp. 5-7

Author(s):

Dinara Baiguisova ◽

Galina Kausova

Keyword(s):

Computed Tomography ◽

Retrospective Analysis ◽

Radiology Department ◽

Scientific Center ◽

Patient Referrals

To conduct a retrospective analysis of patient referrals for computed tomography to identify the main problems, both in writing the direction itself and in its validity. Materials and methods: The patient referrals for computed tomography (CT) were analyzed at the Radiology Department of the National Scientific Center named after AN Syzganov - outpatients for 3 months. Results and discussions: it has been established that, in the main, clinicians, when issuing a referral for a study, ignore such item as a diagnosis, or replace it with the word — examination. There is also the groundlessness and incorrectness of the referrals for the studies, considering their variability and insufficient awareness of doctors both in the indications and the need for a particular study. Conclusion: Clinicians are not sufficiently aware of the correctness of referrals for computed tomography and, as a result, write out incorrect referrals.

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Clinical decision support to improve management of diabetes and dysglycemia in the hospital: a path to optimizing practice and outcomes

BMJ Open Diabetes Research & Care ◽

10.1136/bmjdrc-2020-001557 ◽

2021 ◽

Vol 9 (1) ◽

pp. e001557

Author(s):

Ariana Pichardo-Lowden ◽

Guillermo Umpierrez ◽

Erik B Lehman ◽

Matthew D Bolton ◽

Christopher J DeFlitch ◽

...

Keyword(s):

Type 2 Diabetes ◽

Type 1 Diabetes ◽

Decision Support ◽

Clinical Decision Support ◽

Clinical Decision ◽

Stress Hyperglycemia ◽

Inappropriate Use ◽

Academic Center

IntroductionInnovative approaches are needed to design robust clinical decision support (CDS) to optimize hospital glycemic management. We piloted an electronic medical record (EMR), evidence-based algorithmic CDS tool in an academic center to alert clinicians in real time about gaps in care related to inpatient glucose control and insulin utilization, and to provide management recommendations.Research design and methodsThe tool was designed to identify clinical situations in need for action: (1) severe or recurrent hyperglycemia in patients with diabetes: blood glucose (BG) ≥13.88 mmol/L (250 mg/dL) at least once or BG ≥10.0 mmol/L (180 mg/dL) at least twice, respectively; (2) recurrent hyperglycemia in patients with stress hyperglycemia: BG ≥10.0 mmol/L (180 mg/dL) at least twice; (3) impending or established hypoglycemia: BG 3.9–4.4 mmol/L (70–80 mg/dL) or ≤3.9 mmol/L (70 mg/dL); and (4) inappropriate sliding scale insulin (SSI) monotherapy in recurrent hyperglycemia, or anytime in patients with type 1 diabetes. The EMR CDS was active (ON) for 6 months for all adult hospital patients and inactive (OFF) for 6 months. We prospectively identified and compared gaps in care between ON and OFF periods.ResultsWhen active, the hospital CDS tool significantly reduced events of recurrent hyperglycemia in patients with type 1 and type 2 diabetes (3342 vs 3701, OR=0.88, p=0.050) and in patients with stress hyperglycemia (288 vs 506, OR=0.60, p<0.001). Hypoglycemia or impending hypoglycemia (1548 vs 1349, OR=1.15, p=0.050) were unrelated to the CDS tool on subsequent analysis. Inappropriate use of SSI monotherapy in type 1 diabetes (10 vs 22, OR=0.36, p=0.073), inappropriate use of SSI monotherapy in type 2 diabetes (2519 vs 2748, OR=0.97, p=0.632), and in stress hyperglycemia subjects (1617 vs 1488, OR=1.30, p<0.001) were recognized.ConclusionEMR CDS was successful in reducing hyperglycemic events among hospitalized patients with dysglycemia and diabetes, and inappropriate insulin use in patients with type 1 diabetes.

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