Assessment of physicians’ satisfaction with a virtual tumour board in a French academic centre during the COVID-19 pandemic

2021 ◽  
Vol 79 ◽  
pp. S1392
Author(s):  
U. Pinar ◽  
A. Clerget ◽  
O. Perrot ◽  
N. Beaud ◽  
W. Akakpo ◽  
...  
Keyword(s):  
Tumour Board

‘We will take care of you’: Identity categorisation markers in intercultural medical encounters

2021 ◽  
Vol 23 (4) ◽  
pp. 451-473
Author(s):  
Valentina Fantasia ◽  
Cristina Zucchermaglio ◽  
Marilena Fatigante ◽  
Francesca Alby
Keyword(s):  
Social Identity ◽  
Common Knowledge ◽  
Cultural Background ◽  
Epistemic Authority ◽  
Discursive Practices ◽  
Local Hospital ◽  
Social Actors ◽  
Social Actions ◽  
Life Saving ◽  
Tumour Board

Ethnomethodology research has systematically investigated discursive practices of categorisation, looking at the various ways by which social actors ascribe both themselves and others to identity categories to accomplish various kinds of social actions. Drawing on a data corpus of oncological visits collected in an Italian hospital, involving both native and non-native patients, the present work analyses how participants in these intercultural medical encounters invoke and make relevant social identity categories by the marking of collective pronouns in their talk. Our results showed that whilst institutional identities (e.g. those of the doctors, the local hospital or the Tumour Board) prevailed, categorial formulations related to cultural or linguistic identities were rarely displayed in interactions with non-native patients. Conversational participants made very little of their linguistical or cultural background and when they did so, their cultural and linguistic identities were deployed for rhetorical and pragmatical aims, such as testing and negotiating common knowledge and epistemic authority. This study shows how even speakers’ minimal lexical choices, such as marked pronouns, impact the negotiation of meanings and activities in life-saving sites such as oncological visits.

scholarly journals Enhancing the performance of gastrointestinal tumour board by improving documentation

2018 ◽  
Vol 7 (1) ◽  
pp. e000168 ◽  
Author(s):  
Roaa Saleh Alsuhaibani ◽  
Hajer Alzahrani ◽  
Ghada Algwaiz ◽  
Haneen Alfarhan ◽  
Ashwaq Alolayan ◽  
...  
Keyword(s):  
Performance Measures ◽  
Multidisciplinary Team ◽  
Positive Impact ◽  
Team Approach ◽  
Rapid Improvement ◽  
Past Performance ◽  
Pdsa Cycle ◽  
Tumour Board ◽  
Medical Records System ◽  
Documentation Tool

Tumour board contributes to providing better patient care by using a multidisciplinary team approach. In the efforts of evaluating the performance of the gastrointestinal tumour board at our institution, it was difficult to assess past performance due to lack of proper use of standardised documentation tool. This project aimed at improving adherence to the documentation tool and its recommendations in order to obtain performance measures for the tumour board. A multidisciplinary team and a plan were developed to improve documentation. Four rapid improvement cycles, Plan–Do–Study–Act (PDSA) cycles, were conducted. The first cycle focused on updating the case discussion summary form (CDSF) based on experts’ input and previous identified deficiencies to enhance documentation and improve performance. The second PDSA cycle aimed at incorporating the CDSF into the electronic medical records system and assessing its functionality. The third cycle was to orient and train staff on using the form and launching it. The fourth PDSA cycle aimed at assessing the ability to obtain tumour board performance measures. Adherence to completion of the CDSF improved from 82% (baseline) to 94% after the fourth PDSA cycle. Over 104 consecutive cases discussed in the tumour board between January and July 2016 and 76 cases discussed in 2015, results were as follows: adherence to National Comprehensive Cancer Network guidelines in 2016 was observed in 141 (95%) recommendations, while it was observed in 90 (92%) recommendations in 2015. Changes in the management plans were observed in 37 (36%) cases in 2016 and in 6 (8%) cases in 2015. Regarding tumour board recommendations, 87% were done within 3 months of tumour board discussion in 2016, while 69% were done in 2015. Implementing electronic standardised documentation tool improved communication among the team and enabled getting accurate data about performance measures of the tumour board with positive impact on healthcare process and outcomes.

scholarly journals 43 Implementation, practise and experiences of an international online multidisciplinary tumour board (IMDTB) with a cancer centre in northwest region of cameroon

2020 ◽  
Author(s):  
Sebastian Hentsch ◽  
Kouya Francine Tchintseme ◽  
Azeh Ivo ◽  
Buecker Rebecca ◽  
Henze Larissa ◽  
...  
Keyword(s):  
Cancer Centre ◽  
Tumour Board ◽  
Northwest Region

Early experience with IBM Watson for Oncology (WFO) cognitive computing system for lung and colorectal cancer treatment.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 8527-8527 ◽  
Author(s):  
S.P. Somashekhar ◽  
Martín-J. Sepúlveda ◽  
Andrew D Norden ◽  
Amit Rauthan ◽  
Kumar Arun ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Rectal Cancer ◽  
Computing System ◽  
Treatment Recommendations ◽  
Evidence Based ◽  
Metastatic Colon Cancer ◽  
Cognitive Computing ◽  
Evidence Based Treatment ◽  
Tumour Board ◽  
Ibm Watson

8527 Background: IBM Watson for Oncology is an artificial intelligence cognitive computing system that provides confidence-ranked, evidence-based treatment recommendations for cancer. In the present study, we examine the level of agreement for lung and colorectal cancer therapy between the multidisciplinary tumour board from Manipal Comprehensive Cancer Centre in Bangalore, India, and Watson for Oncology. Methods: Watson for Oncology is a Memorial Sloan Kettering Cancer Center (New York, USA) trained cognitive computing system that uses natural language processing and machine learning to provide treatment recommendations. It processes structured and unstructured data from medical literature, treatment guidelines, medical records, imaging, lab and pathology reports, and the expertise of Memorial Sloan Kettering experts to formulate therapeutic recommendations. Treatment recommendations are provided in three categories: recommended, for consideration and not recommended. In this report we provide the results of the independent and blinded evaluation by the multidisciplinary tumour board and Watson for Oncology of 362 total cancer cases comprised of 112 lung, 126 colon and 124 rectal cancers seen at the Centre within the last three years. The recommendations of the two agents were compared for agreement and considered concordant when the tumour board recommendation was included in the recommended or for consideration categories of the treatment advisor. Results: Overall, treatment recommendations were concordant in 96.4% of lung, 81.0% of colon and 92.7% of rectal cancer cases. By tumour stage, treatment recommendations were concordant in 88.9% of localized and 97.9% of metastatic lung cancer, 85.5% of localized and 76.6% of metastatic colon cancer, and 96.8% of localized and 80.6% of metastatic rectal cancer. Conclusions: Treatment recommendations made by the Manipal multidisciplinary tumour board and Watson for Oncology were highly concordant in the cancers examined. This cognitive computing technology holds much promise in helping oncologists make information intensive, evidence based treatment decisions.

Impact of technology-based access to a multidisciplinary tumor board on treatment planning for patients with cancer in developing countries.

2018 ◽  
Vol 36 (30_suppl) ◽  
pp. 271-271
Author(s):  
Amit Kumar Jotwani ◽  
Rashie Jain ◽  
Spoorthi Shelometh
Keyword(s):  
Developing Countries ◽  
Multidisciplinary Team ◽  
Treatment Plan ◽  
Locally Advanced ◽  
Automated System ◽  
Tumor Board ◽  
Tumour Board ◽  
Online Access ◽  
Relapsed Disease ◽  
The Impact

271 Background: The developing countries account for 70% of cancer associated mortality in spite of significantly lesser incidence than the developed world. The main reason for poor outcomes is acute shortage of trained oncology medical professionals. We conducted a prospective study on impact of Onco.com multidisciplinary tumour board (MTB) opinion on the treatment plan for patients. Onco.com provides online access to senior experts in oncology from India and United States wherein the patients can avail unbiased, evidence based treatment opinion through technology. Methods: We prospectively evaluated the impact of treatment plan provided by multidisciplinary team of oncologists on the treatment received by patients who opted for secure online opinion on onco.com. A total of 335 patients from 13 countries received online MTB opinion from July 2017 till April 2018 were included in the study. A multidisciplinary tumour board was constituted through an automated system by matching expertise of the oncologists as per patient’s condition. The experts had access to cutting edge scientific journals and international clinical practice guidelines (NCCN, ESMO, Uptodate.com) while giving opinion for the patient. The opinion was delivered in 3 days. Results: Of the total 335 MTB reports evaluated, 68 had stage I or II disease, 104 had locally advanced disease and 163 patients had metastatic/relapsed disease at presentation. Online access to multidisciplinary team of expert oncologists lead to a better treatment plan for 81.5% patients, while significant 14.6% patients received drastic changes in their existing treatment plan. Conclusions: The results demonstrate that technology can help us bridge the gaps in access to trained expert oncologists across borders for developing countries and help them receive better treatments. A longer follow up is needed to evaluate impact of online MTB opinion on clinical outcomes for patients.[Table: see text]

20: Machine Learning Classifier to Reproduce Lung Metastases Tumour Board Decisions

2021 ◽  
Vol 163 ◽  
pp. S12
Author(s):  
Christina Seo ◽  
Efthimia Karageorgos ◽  
Areej Waqar ◽  
Yiwen Xu ◽  
Tom Waddell ◽  
...  
Keyword(s):  
Machine Learning ◽  
Lung Metastases ◽  
Learning Classifier ◽  
Tumour Board
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