scholarly journals Decision Making Processes for a Pregnant Woman Admitted to the Accident and Emergency Department Requiring Emergency Diagnostic X-ray – A Case Study

2017 ◽  
Vol 32 (2) ◽  
pp. 121
Author(s):  
S. Ismanto
Keyword(s):  
Decision Making ◽  
Pregnant Woman ◽  
Emergency Care ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
X Ray ◽  
Processing Theory ◽  
Vehicle Accident ◽  
Decision Making Processes ◽  
Diagnostic Investigations

The objective of this study is to apply the decision-making processes for a pregnant woman who was involved in a motor vehicle accident and admitted to a private middle-class hospital in the capital of Indonesia requiring radiologic X-ray examination.  It also aims to examine and evaluate the patient who was in her 20th week of gestation in order to provide her with the best emergency care, diagnostic investigations and treatments.The descriptive, normative and prescriptive models of decision-making are demonstrated. The descriptive model used intuition, while the normative model used decision trees as decision options and lastly the prescriptive decision used the information processing theory (IPT) to decide on the best emergency care, diagnostic investigations and treatments for the patient. The IPT dominated the decision-making process; hence an X-ray examination was done that was safe for the fetus and the childbearing mother. Decision option was not used since the patient was in pain and could not understand much of the procedure that was explained.  Intuition helped in the decision-making in order to ensure safe and effective practice.

Death or Damnation: Surrogacy and Religious Beliefs

2019 ◽  
Vol 36 (8) ◽  
pp. 740-745
Author(s):  
Steven J. Baumrucker ◽  
Matt Stolick ◽  
Laura Hutchinson ◽  
Angela Eastridge ◽  
Lawrence Devereux ◽  
...  
Keyword(s):  
Decision Making ◽  
Blood Transfusion ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Trauma Team ◽  
Best Interests ◽  
Left Femur ◽  
Vehicle Accident ◽  
Hospital Ethics ◽  
Trauma Teams

MC is a 42-year-old female who was in a motor vehicle accident and suffered multiple contusions as well as a fracture of the left femur, pelvic ramus, and left orbit. Due to contusion of the brain, MC has been comatose for over a week and is on mechanical ventilation to protect her airway. There is no written declaration of surrogacy. During the admission, surgery to repair the left femoral fracture was performed and was complicated by severe blood loss. Currently, MC’s hematocrit is 24% with a hemoglobin of 7.4. The trauma team asserts that a blood transfusion would be in MC’s best interests. Since MC lacks capacity for decision making, she cannot consent to blood transfusion. Her parents are Jehovah’s Witnesses and refuse to approve blood transfusion, stating that it is against their faith. MC’s brother, however, states that MC is not a practicing Jehovah’s Witness and wants the medical team to provide the blood transfusion. The parents insist that decision making is their right; MC’s brother feels he should be making decisions. The trauma teams calls for an emergency consultation with the hospital ethics committee.

scholarly journals Decision-making Processes for a Patient Admitted to the Accident and Emergency Department Requiring Emergency Abdominal X-ray ― A Case Study

2016 ◽  
Vol 33 (1) ◽  
pp. 37
Author(s):  
Y. Yuliawati
Keyword(s):  
Decision Making ◽  
Emergency Department ◽  
Descriptive Model ◽  
X Ray ◽  
Processing Theory ◽  
Accident And Emergency ◽  
Prescriptive Model ◽  
Decision Making Processes ◽  
Accident And Emergency Department

This study investigated the application of the various processes involved in decision-making for acase requiring radiologic emergency abdominal X-ray examination to the Accident and Emergency Department in a government-owned hospital in West Java, Indonesia. It is also aimed to evaluate the patient who was experiencing abdominal pain accompanied by bloating, vomiting, severe constipation and abdominal cramps.The decision-making models used for this case were the normative, prescriptive and descriptive judgments. A decision tree in the form of decision options that was employed in this case addressed the normative model of decision-making, while the algorithm and information processing theory focused on the prescriptive model. Lastly, the intuition that was used in this case concentrated on the descriptive model of decision-making. An emergency abdominal X-ray was indicated for the patient ― a prescriptive decision. Options from decision trees were also practiced. However, the patient was in pain; therefore, she was unable to understand the alternatives that were presented. Hence, this choice was suggested by the author because, by intuition, the expectation was that the patient suffered from acute abdominal crisis.

Virtual reality and computer games in the treatment of driving phobia induced by a motor vehicle accident

2003 ◽  
Author(s):  
David Walshe ◽  
Elizabeth Lewis ◽  
Kathleen O'Sullivan ◽  
Brenda K. Wiederhold ◽  
Sun I. Kim
Keyword(s):  
Virtual Reality ◽  
Computer Games ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Vehicle Accident

Machine Learning of Motor Vehicle Accident Categories from Narrative Data

1996 ◽  
Vol 35 (04/05) ◽  
pp. 309-316 ◽  
Author(s):  
M. R. Lehto ◽  
G. S. Sorock
Keyword(s):  
Machine Learning ◽  
Bayesian Model ◽  
Keyword Search ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Computer Search ◽  
Vehicle Accident ◽  
Learning Technique ◽  
Expert Ratings ◽  
Keyword Searches

Abstract:Bayesian inferencing as a machine learning technique was evaluated for identifying pre-crash activity and crash type from accident narratives describing 3,686 motor vehicle crashes. It was hypothesized that a Bayesian model could learn from a computer search for 63 keywords related to accident categories. Learning was described in terms of the ability to accurately classify previously unclassifiable narratives not containing the original keywords. When narratives contained keywords, the results obtained using both the Bayesian model and keyword search corresponded closely to expert ratings (P(detection)≥0.9, and P(false positive)≤0.05). For narratives not containing keywords, when the threshold used by the Bayesian model was varied between p>0.5 and p>0.9, the overall probability of detecting a category assigned by the expert varied between 67% and 12%. False positives correspondingly varied between 32% and 3%. These latter results demonstrated that the Bayesian system learned from the results of the keyword searches.

Aspirated teeth - rigid or flexible bronchoscopy

2019 ◽  
pp. 1-2
Keyword(s):  
Clinical Practice ◽  
Foreign Bodies ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Flexible Bronchoscopy ◽  
Vehicle Accident

Tracheobronchial foreign bodies are a common problem in clinical practice. We present the case of a patient with three aspirated teeth following a motor vehicle accident.

Isolated second trimester uterine rupture following a motor vehicle accident

2021 ◽  
Vol 258 ◽  
pp. 461-463
Author(s):  
Tal Margaliot Kalifa ◽  
Misgav Rottenstreich ◽  
Eyal Mazaki ◽  
Hen Y. Sela ◽  
Schwartz Alon ◽  
...  
Keyword(s):  
Uterine Rupture ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Second Trimester ◽  
Vehicle Accident

scholarly journals Obstructive Sleep Apnea and Risk of Motor Vehicle Accident

2021 ◽  
Author(s):  
Gaia S. Pocobelli ◽  
Mary A. Akosile ◽  
Ryan N. Hansen ◽  
Joanna Eavey ◽  
Robert D. Wellman ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Vehicle Accident ◽  
Obstructive Sleep
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