scholarly journals Diagnosis Behaviors of Physicians and Non-Physicians When Supported by an Electronic Differential Diagnosis Aid

2019 ◽  
Vol 63 (1) ◽  
pp. 68-72
Author(s):  
Makenzie Pryor ◽  
Doug Ebert ◽  
Vicky Byrne ◽  
Khalaeb Richardson ◽  
Qua Jones ◽  
...  
Keyword(s):  
Decision Aid ◽  
Correct Diagnosis ◽  
Patient Simulation ◽  
Diagnosis And Treatment ◽  
Medical Decision ◽  
Medical Procedures ◽  
Limited Information ◽  
Support Tool ◽  
Patient Diagnosis ◽  
Diagnostic Support

The present study examined a diagnostic medical decision aid developed to help inexperienced operators to diagnose and treat a simulated patient. Diagnosis and treatment accuracy using the tool were assessed and compared across both physicians and non-physicians. Initial analysis revealed more accurate diagnostic and treatment choices for non-physicians, but upon further investigation, physicians were found to have recognized signs for another diagnosis and correctly diagnosed and treated based on the limited information in the patient simulation. This fit with other noted behaviors, such as non-physicians opening the diagnostic support tool within the aid more often than physicians, and frequently returning to the tool during the task. In general, non-physicians were supported in choosing the correct diagnosis and treatment by the aid, while physicians disregarded the aid’s recommendations to make decisions based on their own expertise. These results have implications for the development of future decision support aids for non-physicians performing medical procedures.

scholarly journals Common pre-diagnostic features in individuals with different rare diseases represent a key for diagnostic support with computerized pattern recognition? (Preprint)

2018 ◽  
Author(s):  
Lorenz Grigull ◽  
Sandra Mehmecke ◽  
Ann-Katrin Rother ◽  
Susanne Bloess ◽  
Christian Klemann ◽  
...  
Keyword(s):  
Data Mining ◽  
Pattern Recognition ◽  
Rare Diseases ◽  
Correct Diagnosis ◽  
Diagnostic Delay ◽  
Fusion Algorithm ◽  
Diagnostic Features ◽  
Support Tool ◽  
Answer Pattern ◽  
Diagnostic Support

BACKGROUND Different rare diseases (RD) obviously result in substantial clinical appearances and diagnostic challenges for health professionals. However, we hypothesized that there are consistencies and shared phenomena among all individuals affected by (different) RD during the time before the diagnosis could be established. OBJECTIVE We aimed to identify communalities between different RD and developed a machine learning diagnostic support tool for RD. METHODS 20 interviews with affected individuals with different RD focusing on the time before their final diagnosis was established were performed and qualitatively analyzed. Out of these pre-diagnostic experiences we distilled key phenomena and created a questionnaire which was then distributed among individuals with the established diagnosis of i.) RD, ii.) common non-rare diseases (NRO) iii.) common chronic diseases (CD), iv.), psychosomatic or somatoform diseases (PSY), individuals. Finally, four combined single data mining methods and a fusion algorithm were trained to distinguish the different answer patterns of the questionnaires. RESULTS The questionnaire contained 53 questions. At the end of the campaign a total sum of 1763 questionnaires (758 RD, 149 CD, 48 PSY, 200 NRO, 34 healthy individuals and 574 not evaluable questionnaires) were collected. Based on 3 independent data sets the 10-fold stratified cross-validation method for the answer-pattern recognition resulted in sensitivity values of 88.9% to detect the answer pattern of a RD, 86.6% for NRO, 87.7% for CD and 84.2% for PSY. CONCLUSIONS Despite of being so different, patients with RD share surprisingly similar pre-diagnosis experiences. These communalities were qualitatively explored and successfully used to develop a questionnaire. Mathematical algorithms learned to distinguish these different answer-patterns. Such a questionnaire-based diagnostic support tool might aid professional medical users to raise suspicion for a RD and it could help to shorten the way to the correct diagnosis. Our questionnaire- and data-mining based approach was successfully able to detect unique patterns in individuals affected by a broad range of different rare diseases. Therefore, this approach may shorten the often observed diagnostic delay in RD.

scholarly journals Congenital anomalies causing hemato/hydrocolpos: imaging findings, treatments, and outcomes

2021 ◽  
Author(s):  
Keizo Tanitame ◽  
Nobuko Tanitame ◽  
Saiko Urayama ◽  
Kazuhiro Ohtsu
Keyword(s):  
Correct Diagnosis ◽  
Late Complications ◽  
Diagnosis And Treatment ◽  
Imaging Findings ◽  
Vaginal Septum ◽  
Renal Anomaly ◽  
Imperforate Hymen ◽  
Adequate Knowledge ◽  
Transverse Vaginal Septum ◽  
Urogenital Anomalies

AbstractHemato/hydrocolpos due to congenital urogenital anomalies are rare conditions discovered in neonatal, infant, and adolescent girls. Diagnosis is often missed or delayed owing to its rare incidence and nonspecific symptoms. If early correct diagnosis and treatment cannot be performed, late complications such as tubal adhesion, pelvic endometriosis, and infertility may develop. Congenital urogenital anomalies causing hemato/hydrocolpos are mainly of four types: imperforate hymen, distal vaginal agenesis, transverse vaginal septum, and obstructed hemivagina and ipsilateral renal anomaly, and clinicians should have adequate knowledge about these anomalies. This article aimed to review the diagnosis and treatment of these urogenital anomalies by describing embryology, clinical presentation, imaging findings, surgical management, and postoperative outcomes.

User-testing of a decision-support tool for parents facing threatened periviable delivery: The Periviable GOALS decision aid

2020 ◽  
Author(s):  
Brownsyne Tucker Edmonds ◽  
Shelley M Hoffman ◽  
Tatiana Laitano ◽  
Kimberly Coleman-Phox ◽  
Esperanza Castillo ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Aid ◽  
Decision Support Tool ◽  
User Testing ◽  
Support Tool

Feasibility of streamlining an interactive Bayesian-based diagnostic support tool designed for clinical practice

2016 ◽  
Author(s):  
Po-Hao Chen ◽  
Emmanuel Botzolakis ◽  
Suyash Mohan ◽  
R. N. Bryan ◽  
Tessa Cook
Keyword(s):  
Clinical Practice ◽  
Support Tool ◽  
Diagnostic Support

Pseudoaneurysm of the Left Ventricle: Diagnosis and Treatment

1994 ◽  
Vol 2 (2) ◽  
pp. 111-113
Author(s):  
Thekkekara Alexander John ◽  
Gummiah Muniputtaha Mahesh ◽  
Rathna Nanjunda Rao ◽  
Saligram Srinivasaiah Ramesh
Keyword(s):  
Left Ventricle ◽  
Correct Diagnosis ◽  
Anterior Wall ◽  
Diagnosis And Treatment ◽  
Pseudoaneurysm Formation ◽  
Patch Closure ◽  
Immediate Surgery

A 62-year-old man suffered an anterior wall infarction and subsequent rupture of the myocardium and pseudoaneurysm formation. Correct diagnosis was made followed by immediate surgery using patch closure of the defect. The patient's recovery was uneventful.

Role of laparoscopic in diagnosis and treatment of undescended testis in children at Viet Duc Hospital

2018 ◽  
Vol 8 (4) ◽  
Author(s):  
Viet Hoa Nguyen
Keyword(s):  
Laparoscopic Surgery ◽  
Undescended Testis ◽  
Correct Diagnosis ◽  
Diagnosis And Treatment ◽  
Highly Sensitive ◽  
The Mean ◽  
The Right ◽  
Time Of Operation

Abstract Introduction: Evaluating the role of laparoscopic for diagnosis and treatment of undescended testis in children. Material and Methods: Restrospective study, between 6/ 2014 and 6/2017. All the patients are aged from 1 to 16 years with undescended testis underwent laparoscopic surgery for diagnosis and treatment in Deparment of pediatric surgery – Viet Duc hospital enrolled. Results: Of 95 patiens in total had 106 undescended testis diagnosed and treated by laparoscopy. The mean age of patients was 7,5 ± 3,8 years. 44,2% undescended were on the left side, 44,2% were on the right and 11,6% were undescended bilateral. The correct diagnosis by ultrasound accounted in 79,4%. The locations of testis diagnosed by laparoscopic are : intra abdomen in 45,3%, deep inguinal orifice in 16,9%, extra inguinal orifice in 26,4%, no testicle found in 11,4%. The mean time of operation were 67,33± 28,01 pht. Scrotal positions were achieved 74,5%, remove atrophic testis accounted in 7,6%. Stephen- Flowler technique including step I were in 4,7%, step II in 1,9%. The outcome evaluated by testicular positions following 3 months after operation are : good in 79,2%, moderate 13,2%, poor in 7,6%; By classification of Aubert are : good in 81,1%, moderate in 11,3% and poor in 7,6 %. Conclusion: Laparoscopic surgery is not only a highly sensitive diagnostic method to find accurately the location and size of the testes, but also the most effective method to treat impalpable undescended testes.

Errors in Surgical Neuropathology and the Influence of Cognitive Biases: The Psychology of Intelligence Analysis

2006 ◽  
Vol 130 (5) ◽  
pp. 613-616 ◽  
Author(s):  
Roger E. McLendon
Keyword(s):  
Decision Making ◽  
Cognitive Psychology ◽  
Medical Decision Making ◽  
Cognitive Biases ◽  
Correct Diagnosis ◽  
Data Sources ◽  
Medical Decision ◽  
Intelligence Analysis ◽  
First Impression ◽  
Decision Making Processes

Abstract Context.—A significant difficulty that pathologists encounter in arriving at a correct diagnosis is related to the way information from various sources is processed and assimilated in context. Objective.—These issues are addressed by the science of cognitive psychology. Although cognitive biases are the focus of a number of studies on medical decision making, few if any focus on the visual sciences. Data Sources.—A recent publication authored by Richards Heuer, Jr, The Psychology of Intelligence Analysis, directly addresses many of the cognitive biases faced by neuropathologists and anatomic pathologists in general. These biases include visual anticipation, first impression, and established mindsets and subconsciously influence our critical decision-making processes. Conclusions.—The book points out that while biases are an inherent property of cognition, the influence of such biases can be recognized and the effects blunted.

Perianal Lymphangioma Circumscriptum Mistaken for Genital Warts

PEDIATRICS ◽  
1996 ◽  
Vol 98 (3) ◽  
pp. 461-463
Author(s):  
Gary L. Darmstadt
Keyword(s):  
Sexual Abuse ◽  
Differential Diagnosis ◽  
Case Report ◽  
Correct Diagnosis ◽  
Genital Warts ◽  
Diagnosis And Treatment ◽  
Perianal Region ◽  
Anogenital Region ◽  
Left Buttock ◽  
Lymphangioma Circumscriptum

Genital warts are common relative to other verrucous lesions of the anogenital region. Consideration of the differential diagnosis of verrucous anogenital lesions is necessary, however, to make a correct diagnosis consistently and to avoid futile, painful, and possibly traumatic attempts at treatment. In this report, I describe a child with a history suspicious for sexual abuse who was treated with inappropriate measures because of misdiagnosis of perianal lymphangioma circumscriptum as genital warts. The pathogenesis, differential diagnosis, and treatment of lymphangioma is presented. CASE REPORT A 5-year-old Hispanic boy was referred by his pediatrician to the Dermatology Service with an eruption of red papules on the left buttock and perianal region.

41 Enhancing Burn Medical Care During a Disaster Using a Novel Augmented-Reality Application

2021 ◽  
Vol 42 (Supplement_1) ◽  
pp. S31-S31
Author(s):  
Sena Veazey ◽  
Maria SerioMelvin ◽  
David E Luellen ◽  
Angela Samosorn ◽  
Alexandria Helms ◽  
...  
Keyword(s):  
Decision Support ◽  
Augmented Reality ◽  
Clinical Decision Support ◽  
Decision Support Tool ◽  
Clinical Decision ◽  
Burn Injuries ◽  
Medical Decision ◽  
Support Tool ◽  
Burn Care ◽  
Clinical Decision Support Tool

Abstract Introduction In disaster or mass casualty situations, access to remote burn care experts, communication, or resources may be limited. Furthermore, burn injuries are complex and require substantial training and knowledge beyond basic clinical care. Development and use of decision support (DS) technologies may provide a solution for addressing this need. Devices capable of delivering burn management recommendations can enhance the provider’s ability to make decisions and perform interventions in complex care settings. When coupled with merging augmented reality (AR) technologies these tools may provide additional capabilities to enhance medical decision-making, visualization, and workflow when managing burns. For this project, we developed a novel AR-based application with enhanced integrated clinical practice guidelines (CPGs) to manage large burn injuries for use in different environments, such as disasters. Methods We identified an AR system that met our requirements to include portability, infrared camera, gesture and voice control, hands-free control, head-mounted display, and customized application development abilities. Our goal was to adapt burn CPGs to make use of AR concepts as part of an AR-enabled burn clinical decision support system supporting four sub-applications to assist users with specific interventional tasks relevant to burn care. We integrated relevant CPGs and a media library with photos and videos as additional references. Results We successfully developed a clinical decision support tool that integrates burn CPGs with enhanced capabilities utilizing AR technology. The main interface allows input of patient demographics and injuries with step-by-step guidelines that follow typical burn management care and workflow. There are four sub-applications to assist with these tasks, which include: 1) semi-automated burn wound mapping to calculate total body surface area; 2) hourly burn fluid titration and recommendations for resuscitation; 3) medication calculator for accurate dosing in preparation for procedures and 4) escharotomy instructor with holographic overlays. Conclusions We developed a novel AR-based clinical decision support tool for management of burn injuries. Development included adaptation of CPGs into a format to guide the user through burn management using AR concepts. The application will be tested in a prospective research study to determine the effectiveness, timeliness, and performance of subjects using this AR-software compared to standard of care. We fully expect that the tool will reduce cognitive workload and errors, ensuring safety and proper adherence to guidelines.

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