scholarly journals Audit of Radiology Request Form for Completion and Usefulness of Clinical History: Teaching Hospital Experience, Ghana

2021 ◽  
Vol 2021 ◽  
pp. 1-5
Author(s):  
Bashiru Babatunde Jimah

Background. The role of the “traditional” radiologist has shifted from imaging centered to patient focus, which underscores the utmost importance of the clinical radiologist in the multidisciplinary team in patient management. For the clinical radiologist to effectively play this key role, the referring clinician must provide adequate and useful patient information to assist the radiologist in making a diagnosis or provide differential diagnosis. The objectives were to assess the level of completion of the radiology request form and to determine whether the clinical history provided aided in the final impression/diagnosis. Materials and Method. We conducted a prospective review of 500 radiology request forms at the Cape Coast Teaching Hospital (CCTH) between September and October 2018. The forms were consecutively sampled and reviewed for each field/area such as patient’s name, age, and clinical history. Data were analyzed descriptively for the level of completeness and usefulness of clinical history entered by the clinician. Results. No request form was completed in full. All the request forms did not have X-ray serial number and previous examination details documented. The proportions of forms with various fields completed were as follows: more than 90% of the forms had patient’s name, investigation required, date of the request, doctor’s name, and clinical history fields filled. The patient’s age, patient’s ward/address, and doctor’s address were filled in 88%, 75%, and 18.4%, respectively. Twenty percent of the request forms were not useful to the radiologist in the final diagnosis. Conclusion. A significant proportion of radiology request forms are incompletely filled and therefore denies the radiologist, the critical information needed to make a diagnosis, or narrow differential diagnosis.

2021 ◽  
Author(s):  
Ren Kawamura ◽  
Yukinori Harada ◽  
Shu Sugimoto ◽  
Yuichiro Nagase ◽  
Shinichi Katsukura ◽  
...  

BACKGROUND Automated medical history-taking systems that generate differential diagnosis lists have been suggested to contribute to improved diagnostic accuracy. However, the effect of this system on diagnostic errors in clinical practice remains unknown. OBJECTIVE This study aimed to assess the incidence of diagnostic errors in an outpatient department, where an artificial intelligence (AI)-driven automated medical history-taking system that generates differential diagnosis lists was implemented in clinical practice. METHODS We conducted a retrospective observational study using data from a community hospital in Japan. We included patients aged 20 and older who used an AI-driven automated medical history-taking system that generates differential diagnosis lists in the outpatient department of internal medicine for whom the index visit was between July 1, 2019, and June 30, 2020, followed by unplanned hospitalization within 14 days. The primary endpoint was the incidence of diagnostic errors, which were detected using the Revised Safer Dx instrument by at least two independent reviewers. To evaluate the differential diagnosis list of AI on the incidence of diagnostic errors, we compared the incidence of diagnostic errors between the groups in which AI generated the final diagnosis in the differential diagnosis list and in which AI did not generate the final diagnosis in the differential diagnosis list; Fisher’s exact test was used for comparison between these groups. For cases with confirmed diagnostic errors, further review was conducted to identify the contributing factors of diagnostic errors via discussion among the three reviewers, using the Safer Dx Process Breakdown Supplement as a reference. RESULTS A total of 146 patients were analyzed. The final diagnosis was confirmed in 138 patients and the final diagnosis was observed in the differential diagnosis list of the AI in 69 patients. Diagnostic errors occurred in 16 of 146 patients (11.0%; 95% confidence interval, 6.4-17.2%). Although statistically insignificant, the incidence of diagnostic errors was lower in cases in which the final diagnosis was included in the differential diagnosis list of AI than in cases in which the final diagnosis was not included (7.2% vs. 15.9%, P=.18). Regarding the quality of clinical history taken by AI, the final diagnosis was easily assumed by reading only the clinical history taken by the system in 11 of 16 cases (68.8%). CONCLUSIONS The incidence of diagnostic errors in the internal medicine outpatients used an automated medical history-taking system that generates differential diagnosis lists seemed to be lower than the previously reported incidence of diagnostic errors. This result suggests that the implementation of an automated medical history-taking system that generates differential diagnosis lists could be beneficial for diagnostic safety in the outpatient department of internal medicine.


2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
Gandikota Girish ◽  
Karen Finlay ◽  
David Fessell ◽  
Deepa Pai ◽  
Qian Dong ◽  
...  

Malignant lesions of the pelvis are not uncommon and need to be differentiated from benign lesions and tumor mimics. Appearances are sometimes nonspecific leading to consideration of a broad differential diagnosis. Clinical history, anatomic location, and imaging characterization can help narrow the differential diagnosis. The focus of this paper is to demonstrate the imaging features and the role of plain films, computed tomography, and magnetic resonance imaging for detecting and characterizing malignant osseous pelvic lesions and their common mimics.


2005 ◽  
Vol 5 ◽  
pp. 828-833 ◽  
Author(s):  
M. Barry Stokes

Proteinuria is common in diabetic patients and usually reflects the presence of diabetic glomerulosclerosis. This paper reviews the differential diagnosis of proteinuria in diabetic patients and discusses the role of renal biopsy examination in identification and management of minimal change disease in this cohort. Identification of nondiabetic glomerular disease requires careful correlation of clinical history and renal biopsy findings and may have important implications for prognosis and therapy.


2017 ◽  
Vol 18 (10) ◽  
pp. 981-985
Author(s):  
Samantha D Seitz ◽  
Thanhphuong N Dinh ◽  
Thomas YH Yoon

ABSTRACT Introduction The aim of this study is to describe a case of a melanotic macule found in conjunction with a giant cell fibroma (GCF). For oral pigmented lesions without an identifiable etiologic factor, critical factors in determining the differential diagnosis are clinical history, symmetry, and uniformity of the lesions. Potential differential diagnosis includes racial pigmentation, endocrine disturbance, Peutz–Jeghers syndrome, trauma, hemochromatosis, oral malignant melanoma, or idiopathic etiology and melanotic macules. Melanotic macules are the most common solitary pigmented melanocytic lesions in the oral mucosa, corresponding to 86.1% of melanocytic lesions of the mouth. Giant cell fibromas are reactive connective tissue lesions in the oral cavity. They were first described as a distinct entity in 1974 by Weathers and Callihan and make up around 5 to 10% of all oral mucosa fibrous lesions. They are commonly mistaken for other growths, such as pyogenic granuloma and fibroma, and diagnosis is accurately based on its distinctive histopathology. This article presents the clinicopathologic findings of a 15-year-old Hispanic male presenting for biopsy of a melanotic macule on the mandibular anterior buccal gingiva. Histologic evaluation of the specimen revealed that the lesion also contained a GCF. Pathologic lesions of the mouth should be carefully diagnosed. Conventionally, histologic evaluation is the gold standard to produce a final diagnosis. As evidenced in this article, multiple lesions may exist in a site and may be mistakenly diagnosed as a single entity. Clinical significance While each lesion has been reported individually, in reviewing the literature, no cases were reported in which both histopathologic findings of GCF and melanotic macule were present within the same lesion. How to cite this article Seitz SD, Dinh TN, Yoon TYH. Melanotic Macule in Conjunction with a Giant Cell Fibroma. J Contemp Dent Pract 2017;18(10):981-985.


2019 ◽  
Vol 74 (3) ◽  
Author(s):  
Michela Campanelli ◽  
Francesca Cabry ◽  
Roberto Marasca ◽  
Roberta Gelmini

Medic ro ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 8-13
Author(s):  
Roxana Marcela Sânpălean ◽  
Dorina Nastasia Petra

Heart failure (HF) is a burden for the healthcare system. The incidence will increase significantly due to the aging of po­pu­la­tion, which is associated with multiple comorbidities. Ane­mia and iron deficiency are common in patients with HF, their etiology being often multifactorial. The screening for anemia and iron deficiency is recommended as soon as pos­si­ble. There are often no targeted investigations, therefore a significant proportion of cases are underdiagnosed. The ma­nagement of patients may focus on identifying and correcting the cause. Anemia can occur due to nutritional deficiencies, infla­m­mation, renal failure, bone marrow dysfunction, neuro­hor­mo­nal activity, treatment and hemodilution. The appropriate the­ra­py for the patients with anemia and HF will contribute to the improvement of life quality. The only recommended iron product is ferric carboxymalose administered by in­tra­venous infusion. Under the appropriate treatment, the pa­tients showed an increase in effort tolerance, with an im­prove­ment in symptomatology and a lower number of hos­pi­ta­li­za­tion days. The management of these cases is handled by a multidisciplinary team consisting of a general prac­ti­tio­ner, a cardiologist and other specialists if the patient has other comorbidities. The role of the general practitioner is essential, as he can perform proper screening, prevention and management, developed by a multidisciplinary team, in order to reduce the cardiac morbidity and mortality.  


GYNECOLOGY ◽  
2014 ◽  
Vol 16 (1) ◽  
pp. 69-72
Author(s):  
S.A. Martynov ◽  
◽  
L.V. Adamyan ◽  
E.A. Kulabukhova ◽  
P.V. Uchevatkina ◽  
...  

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