scholarly journals Let the Data Serve the Patient: Using Big-Scale Data Collection to Improve Small-Scale Patient Interactions

2018 ◽  
Vol 4 (Supplement 2) ◽  
pp. 156s-156s
Author(s):  
S. Rayne ◽  
J. Meyerowitz ◽  
G. Even-Tov ◽  
H. Rae ◽  
N. Tapela ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Data Collection ◽  
Cancer Care ◽  
Quality Data ◽  
Small Scale ◽  
Information Sheet ◽  
Quality Of Data ◽  
Data Points ◽  
Database Service

Background and context: Breast cancer is one of the most common cancers in most resource-constrained environments worldwide. Although breast awareness has improved, lack of understanding of the diagnosis and management can cause patient anxiety, noncompliance and ultimately may affect survival through compromised or delayed care. South African women attending government hospitals are diverse, with differing levels of income, education and support available. Often there is a lack of access for them to appropriate information for their cancer care. Aim: A novel bioinformatics data management system was conceived through an innovative close collaboration between Wits Biomedical Informatics and Translational Science (Wits-BITS) and academic breast cancer surgeons. The aim was to develop a platform to allow acquisition of epidemiologic data but synchronously convert this into a personalised cancer plan and “take-home” information sheet for the patient. Strategy/Tactics: The concept of a clinician “customer” was used, in which the “currency” in which they rewarded the database service was accurate data. For this payment they received the “product” of an immediate personalised information sheet for their patient. Program/Policy process: A custom software module was developed to generate individualized patient letters containing a mixture of template text and information from the patient's medical record. The letter is populated with the patient's name and where they were seen, and an personalised explanation of the patient's specific cancer stage according to the TNM system. Outcomes: Through a process of continuous use with patient and clinician feedback, the quality of data in the system was improved. Patients enjoyed the personalised information sheet, allowing patient and family to comprehend and be reassured by the management plan. Clinicians found that the quality of the information sheet was instant feedback as to the comprehensiveness of their data input, and thus assured compliance and quality of data points. What was learned: Using a consumer model, through a process of cross-discipline collaboration, where there is normally poor access to appropriate patient information and poor data entry by overburdened clinicians, a low-cost model of high-quality data collection was achieved, in real-time, by clinicians best qualified to input correct data points. Patients also benefitted from participation in a database immediately, through personalised information sheets improving their understanding of their cancer care.

scholarly journals Improving Specimen Labelling and Data Collection in Bio-science Research using Mobile and Web Applications

2020 ◽  
Vol 10 (1) ◽  
pp. 1-16
Author(s):  
Isaac Nyabisa Oteyo ◽  
Mary Esther Muyoka Toili
Keyword(s):  
Data Collection ◽  
Web Applications ◽  
Data Entry ◽  
Science Research ◽  
Quality Data ◽  
Quality Of Data ◽  
Data Entry Form ◽  
Research Activities ◽  
Daunting Task

AbstractResearchers in bio-sciences are increasingly harnessing technology to improve processes that were traditionally pegged on pen-and-paper and highly manual. The pen-and-paper approach is used mainly to record and capture data from experiment sites. This method is typically slow and prone to errors. Also, bio-science research activities are often undertaken in remote and distributed locations. Timeliness and quality of data collected are essential. The manual method is slow to collect quality data and relay it in a timely manner. Capturing data manually and relaying it in real time is a daunting task. The data collected has to be associated to respective specimens (objects or plants). In this paper, we seek to improve specimen labelling and data collection guided by the following questions; (1) How can data collection in bio-science research be improved? (2) How can specimen labelling be improved in bio-science research activities? We present WebLog, an application that we prototyped to aid researchers generate specimen labels and collect data from experiment sites. We use the application to convert the object (specimen) identifiers into quick response (QR) codes and use them to label the specimens. Once a specimen label is successfully scanned, the application automatically invokes the data entry form. The collected data is immediately sent to the server in electronic form for analysis.

scholarly journals Incidence Trend of Breast Cancer and its Risk Factors in Women of Eastern Mediterranean Region Countries between 1998 and 2018: A Systematic Review and Meta-Analysis

2019 ◽  
Author(s):  
Razieh Zahedi ◽  
Hossein Molavi Vardanjani ◽  
Mohammad Reza Baneshi ◽  
Ali Akbar Haghdoost ◽  
Reza Malekpour Afshar ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Meta Analysis ◽  
Random Effect ◽  
Eastern Mediterranean Region ◽  
Quality Data ◽  
Current Status ◽  
Quality Of Data ◽  
Incidence Trend

Abstract Abstract Background This study was conducted to provide evidence on the current status of breast cancer (BC) and its incidence trend in EMR during 1998-2018. Also, this study aimed to investigate the association between the incidence of BC and HDI and some factors related to this index, including total fertility rate (TFR), and obesity, using a meta-analysis. Method Data on incidence of BC were collected from various sources, including PubMed, Embase, Web of Science, and WHO, from 1998 to 2018 using systematic review and meta-analysis. Pooled ASR (age standardized rate) was calculated based on study duration and quality of data using a subgroup analysis and random effect meta-analysis. Results A total of 76 studies (499 data points) were analyzed. Pooled ASR of BC for EMR was 39.8 per 100 000 person-year (95% confidence interval [CI], 36.01, 43.9) during 2011-2018. ASR of BC had an upward trend in EMR from 2005 to 2018. However, the increasing trend was found to be slightly different in various regions based on quality of data. Moreover, pooled ASR had a significant association with Human Development Index (HDI) [-6.6 (95% CI, -8.9, -4.3)] and obesity [0.1 (95% CI, 0.07, 0.1)]. Conclusion Pooled ASR of BC in EMR was lower than the global average. Also, the ASR value and its incremental trend have been higher in countries with low-quality data than in other countries of this region in recent years. Data quality or physiological factors, such as increase in obesity rates, could be the reasons for this incremental trend.

Designing Information Product (IP) Maps On the Process of Data Processing and Academic Information

2017 ◽  
Vol 4 (1) ◽  
pp. 25-31 ◽  
Author(s):  
Diana Effendi
Keyword(s):  
Data Quality ◽  
Data Management ◽  
Information Management ◽  
Information Quality ◽  
Quality Data ◽  
Management Approach ◽  
Quality Of Data ◽  
Information Product ◽  
Academic Activities

Information Product Approach (IP Approach) is an information management approach. It can be used to manage product information and data quality analysis. IP-Map can be used by organizations to facilitate the management of knowledge in collecting, storing, maintaining, and using the data in an organized. The  process of data management of academic activities in X University has not yet used the IP approach. X University has not given attention to the management of information quality of its. During this time X University just concern to system applications used to support the automation of data management in the process of academic activities. IP-Map that made in this paper can be used as a basis for analyzing the quality of data and information. By the IP-MAP, X University is expected to know which parts of the process that need improvement in the quality of data and information management.   Index term: IP Approach, IP-Map, information quality, data quality. REFERENCES[1] H. Zhu, S. Madnick, Y. Lee, and R. Wang, “Data and Information Quality Research: Its Evolution and Future,” Working Paper, MIT, USA, 2012.[2] Lee, Yang W; at al, Journey To Data Quality, MIT Press: Cambridge, 2006.[3] L. Al-Hakim, Information Quality Management: Theory and Applications. Idea Group Inc (IGI), 2007.[4] “Access : A semiotic information quality framework: development and comparative analysis : Journal ofInformation Technology.” [Online]. Available: http://www.palgravejournals.com/jit/journal/v20/n2/full/2000038a.html. [Accessed: 18-Sep-2015].[5] Effendi, Diana, Pengukuran Dan Perbaikan Kualitas Data Dan Informasi Di Perguruan Tinggi MenggunakanCALDEA Dan EVAMECAL (Studi Kasus X University), Proceeding Seminar Nasional RESASTEK, 2012, pp.TIG.1-TI-G.6.

scholarly journals Considerations for the Management of Women with Breast Cancer during the COVID-19 Pandemic

2020 ◽  
Vol 5 (03) ◽  
pp. 260-263
Author(s):  
Monica Irukulla ◽  
Palwai Vinitha Reddy
Keyword(s):  
Breast Cancer ◽  
Resource Allocation ◽  
Patient Care ◽  
Cancer Patients ◽  
Cancer Care ◽  
Clinical Care ◽  
Current Availability ◽  
The Individual

AbstractOutcomes in cancer patients are strongly influenced by timeliness and quality of multidisciplinary interventions. The COVID-19 pandemic has led to severe disruption in cancer care in many countries. This has necessitated several changes in clinical care and workflow, including resource allocation, team segregation and deferment of many elective procedures. Several international oncological societies have proposed guidelines for the care of patients afflicted with breast cancer during the pandemic with a view to optimize resource allocation and maximize risk versus benefit for the individual and society. Clinicians may utilize these recommendations to adapt patient care, based on the current availability of resources and severity of the COVID-19 pandemic in each region. This article discusses the guidelines for care of patients afflicted with breast cancer during the pandemic.

The patient’s perspective of the quality of breast cancer care

2007 ◽  
Vol 43 (8) ◽  
pp. 1257-1264 ◽  
Author(s):  
Mascha de Kok ◽  
Rachel W. Scholte ◽  
Herman J. Sixma ◽  
Trudy van der Weijden ◽  
Karin F. Spijkers ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Care ◽  
Breast Cancer Care ◽  
Patient’S Perspective

On the Road to Improving the Quality of Breast Cancer Care

Medical Care ◽  
2008 ◽  
Vol 46 (8) ◽  
pp. 759-761 ◽  
Author(s):  
Jeanne S. Mandelblatt ◽  
Arnold L. Potosky
Keyword(s):  
Breast Cancer ◽  
Cancer Care ◽  
Breast Cancer Care ◽  
The Road ◽  
On The Road

Improving the organisation of breast cancer care increases quality of care while reducing costs

2004 ◽  
Vol 2 (3) ◽  
pp. 113
Author(s):  
G.L Beets ◽  
C.N.A Frotscher ◽  
C.D Dirksen ◽  
M.H Hebly ◽  
M.F von Meyenfeldt
Keyword(s):  
Breast Cancer ◽  
Quality Of Care ◽  
Cancer Care ◽  
Breast Cancer Care ◽  
Reducing Costs

Clinical Integration of Digital Solutions in Health Care: An Overview of the Current Landscape of Digital Technologies in Cancer Care

2018 ◽  
pp. 1-9 ◽  
Author(s):  
Shivank Garg ◽  
Noelle L. Williams ◽  
Andrew Ip ◽  
Adam P. Dicker
Keyword(s):  
Quality Of Life ◽  
Artificial Intelligence ◽  
Health Care ◽  
Data Collection ◽  
Patient Outcomes ◽  
Cancer Care ◽  
Digital Health ◽  
Health Technologies ◽  
Health Care Value

Digital health constitutes a merger of both software and hardware technology with health care delivery and management, and encompasses a number of domains, from wearable devices to artificial intelligence, each associated with widely disparate interaction and data collection models. In this review, we focus on the landscape of the current integration of digital health technology in cancer care by subdividing digital health technologies into the following sections: connected devices, digital patient information collection, telehealth, and digital assistants. In these sections, we give an overview of the potential clinical impact of such technologies as they pertain to key domains, including patient education, patient outcomes, quality of life, and health care value. We performed a search of PubMed ( www.ncbi.nlm.nih.gov/pubmed ) and www.ClinicalTrials.gov for numerous terms related to digital health technologies, including digital health, connected devices, smart devices, wearables, activity trackers, connected sensors, remote monitoring, electronic surveys, electronic patient-reported outcomes, telehealth, telemedicine, artificial intelligence, chatbot, and digital assistants. The terms health care and cancer were appended to the previously mentioned terms to filter results for cancer-specific applications. From these results, studies were included that exemplified use of the various domains of digital health technologies in oncologic care. Digital health encompasses the integration of a vast array of technologies with health care, each associated with varied methods of data collection and information flow. Integration of these technologies into clinical practice has seen applications throughout the spectrum of care, including cancer screening, on-treatment patient management, acute post-treatment follow-up, and survivorship. Implementation of these systems may serve to reduce costs and workflow inefficiencies, as well as to improve overall health care value, patient outcomes, and quality of life.

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