scholarly journals Utilization of the iOS Shortcuts App to Generate a Surgical Logbook Tool: Feasibility Study

10.2196/24644 ◽  
2021 ◽  
Vol 4 (1) ◽  
pp. e24644
Author(s):  
Daniel Thompson
Keyword(s):  
Data Collection ◽  
Feasibility Study ◽  
Demographic Data ◽  
Data Set ◽  
Time Investment ◽  
Surgical Trainees ◽  
Audit Data ◽  
The Creation ◽  
Operation Note ◽  
Surgical Audit

Background Surgical audit is an essential aspect of modern reflective surgical practice and is key to improving surgical outcomes. The surgical logbook is an important method of data collection for both personal and unit audits; however, current electronic data collection tools, especially mobile apps, lack the minimum recommended data fields. Objective This feasibility study details the creation of a free, effective surgical logbook tool with the iOS Shortcuts app and investigates the time investment required to maintain a surgical logbook with this tool. In addition, we investigate the potential utility of the Shortcuts app in creating medical data collection tools. Methods Using the iOS Shortcuts app, we created a shortcut “Operation Note,” which collects surgical logbook data by using the minimum and extended audit data sets recommended by the Royal Australasian College of Surgeons. We practically assessed the feasibility of the tool, assessing the time requirement for entry, accuracy, and completeness of the entered data. Results The shortcut collected accurate and useful data for a surgical audit. Data entry took on average 65 seconds per case for the minimum data set, and 135 seconds per case for the extended data set, with a mean difference of 68 seconds (P<.001; 95% CI 61.6-77.7). Conclusions This feasibility study demonstrates the utility of the iOS Shortcuts app in the creation of a surgical logbook and the time-consuming nature of data collection for surgical audit. Our iOS Operation Note shortcut is a free, rapid, and customizable alternative to currently available logbook apps and offers surgical trainees and consultants a method for recording surgical operations, complications, and demographic data.

scholarly journals Utilization of the iOS Shortcuts App to Generate a Surgical Logbook Tool: Feasibility Study (Preprint)

2020 ◽  
Author(s):  
Daniel Thompson
Keyword(s):  
Data Collection ◽  
Feasibility Study ◽  
Demographic Data ◽  
Data Set ◽  
Time Investment ◽  
Surgical Trainees ◽  
Audit Data ◽  
The Creation ◽  
Operation Note ◽  
Surgical Audit

BACKGROUND Surgical audit is an essential aspect of modern reflective surgical practice and is key to improving surgical outcomes. The surgical logbook is an important method of data collection for both personal and unit audits; however, current electronic data collection tools, especially mobile apps, lack the minimum recommended data fields. OBJECTIVE This feasibility study details the creation of a free, effective surgical logbook tool with the iOS Shortcuts app and investigates the time investment required to maintain a surgical logbook with this tool. In addition, we investigate the potential utility of the Shortcuts app in creating medical data collection tools. METHODS Using the iOS Shortcuts app, we created a shortcut “Operation Note,” which collects surgical logbook data by using the minimum and extended audit data sets recommended by the Royal Australasian College of Surgeons. We practically assessed the feasibility of the tool, assessing the time requirement for entry, accuracy, and completeness of the entered data. RESULTS The shortcut collected accurate and useful data for a surgical audit. Data entry took on average 65 seconds per case for the minimum data set, and 135 seconds per case for the extended data set, with a mean difference of 68 seconds (<i>P</i>&lt;.001; 95% CI 61.6-77.7). CONCLUSIONS This feasibility study demonstrates the utility of the iOS Shortcuts app in the creation of a surgical logbook and the time-consuming nature of data collection for surgical audit. Our iOS Operation Note shortcut is a free, rapid, and customizable alternative to currently available logbook apps and offers surgical trainees and consultants a method for recording surgical operations, complications, and demographic data.

scholarly journals A Registry Software for Road Traffic Injury Patients at Apex Trauma Centre in India: An Innovation

2019 ◽  
Vol 34 (s1) ◽  
pp. s163-s163
Author(s):  
Gaurav Kaushik ◽  
Amit Gupta ◽  
Subodh Kumar ◽  
Kapil Dev Soni ◽  
Ankita Sharma
Keyword(s):  
Emergency Department ◽  
Data Collection ◽  
Trauma Registry ◽  
Road Traffic ◽  
Demographic Data ◽  
Road Traffic Injury ◽  
Registry Data ◽  
Post Discharge ◽  
Data Set ◽  
Traffic Injury

Introduction:A trauma registry is a disease-specific data collection composed of a file of uniform data elements that describe the injury even, demographics, prehospital information, diagnosis, care, outcomes, and costs of treatment for injured patients.Aim:To establish a trauma registry system on an electronic platform enabling data capturing through Android phones.Methods:A software has been developed for the registry data collection for road traffic injury patients arriving at JPNATC, AIIMS, New Delhi. The software has been designed to use in the Emergency Department on Android phones/laptops with internet access.Result:A detailed registry data set has been prepared to enter prehospital, in-hospital, and post-discharge details of all the admitted patients. This includes demographic data, prehospital data, injury event data, vital signs within 24-hrs of arrival, ED disposition (date and time), operative procedures within 48 hours of arrival, chest x-ray (date and time), CT (date and time), ventilation days, ICU-stay days, hospital disposition (date and time), injury coding data (region, severity level, ISS, AIS, ICD-10) and Others, e.g., first neurosurgical consultation (date and time) and first blood transfusion (date and time). There are two panels for this software; one for user panel and another for the administrative panel. User panel is being used for data collection by the trained data collectors 24/7 at the emergency department on a rotation basis. The administrative panel is accessible to only the investigator or other authorized persons. The administrative panel and user panels are password protected. The entered data is being saved in a spreadsheet in the backend and can be used for periodic data quality check and data analysis.Discussion:There is no trauma registry in India so far for the road traffic injury patients. Present innovation would lay the foundation of national Trauma Registry in India.

scholarly journals Lessons learned from hemolytic uremic syndrome registries: recommendations for implementation

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Mina Lazem ◽  
Abbas Sheikhtaheri ◽  
Nakysa Hooman
Keyword(s):  
Data Collection ◽  
Data Quality ◽  
Hemolytic Uremic Syndrome ◽  
Demographic Data ◽  
Data Entry ◽  
Rare Condition ◽  
Lessons Learned ◽  
Data Set ◽  
Diagnostic Measures ◽  
Uremic Syndrome

Abstract Background Hemolytic uremic syndrome (HUS) is a rare condition which diagnosed with the triad of thrombocytopenia, microangiopathic hemolytic anemia, and acute renal injury. There is a high requirement for research to discover treatments. HUS registries can be used as an important information infrastructure. In this study, we identified and compared the different features of HUS registries to present a guide for the development and implementation of HUS registries. Results The purposes of registries were classified as clinical (9 registries), research (7 registries), and epidemiological (5 registries), and only 3 registries pursued all three types of purposes. The data set included demographic data, medical and family history, para-clinical and diagnostic measures, treatment and pharmacological data, complications, and outcomes. The assessment strategies of data quality included monthly evaluation and data audit, the participation of physicians to collect data, editing and correcting data errors, increasing the rate of data completion, following guidelines and data quality training, using specific data quality indicators, and real-time evaluation of data at the time of data entry. 8 registries include atypical HUS patients, and 7 registries include all patients regardless of age. Only two registries focused on children. 4 registries apply prospective and 4 applied both prospective, and retrospective data collection. Finally, specialized hospitals were the main data source for these registries. Conclusion Based on the findings, we suggested a learning framework for developing and implementing an HUS registry. This framework includes lessons learned and suggestions for HUS registry purposes, minimum data set, data quality assurance, data collection methods, inclusion and exclusion criteria as well as data sources. This framework can help researchers develop HUS registries.

Feasibility Study of the Development, Implementation, and Evaluation of Computer-Based Job and Occupational Data Collection Methods

1998 ◽  
Author(s):  
J. L. Mitchell ◽  
Winston Bennett ◽  
J. J. Weissmuller ◽  
R. L. Gosc ◽  
Patricia Waldroop ◽  
...  
Keyword(s):  
Data Collection ◽  
Feasibility Study ◽  
Data Collection Methods ◽  
Computer Based ◽  
Collection Methods

scholarly journals Improving mobility and participation of older people with vertigo, dizziness and balance disorders in primary care using a care pathway: feasibility study and process evaluation

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Eva Seckler ◽  
Verena Regauer ◽  
Melanie Krüger ◽  
Anna Gabriel ◽  
Joachim Hermsdörfer ◽  
...  
Keyword(s):  
Primary Care ◽  
Data Collection ◽  
Older People ◽  
Process Evaluation ◽  
Feasibility Study ◽  
Health Professionals ◽  
Implementation Strategy ◽  
Care Pathway ◽  
Main Trial ◽  
Telephone Helpline

Abstract Background Community-dwelling older people are frequently affected by vertigo, dizziness and balance disorders (VDB). We previously developed a care pathway (CPW) to improve their mobility and participation by offering standardized approaches for general practitioners (GPs) and physical therapists (PTs). We aimed to assess the feasibility of the intervention, its implementation strategy and the study procedures in preparation for the subsequent main trial. Methods This 12-week prospective cohort feasibility study was accompanied by a process evaluation designed according to the UK Medical Research Council’s Guidance for developing and evaluating complex interventions. Patients with VDB (≥65 years), GPs and PTs in primary care were included. The intervention consisted of a diagnostic screening checklist for GPs and a guide for PTs. The implementation strategy included specific educational trainings and a telephone helpline. Data for mixed-method process evaluation were collected via standardized questionnaires, field notes and qualitative interviews. Quantitative data were analysed using descriptive statistics, qualitative data using content analysis. Results A total of five GP practices (seven single GPs), 10 PT practices and 22 patients were included in the study. The recruitment of GPs and patients was challenging (response rates: GP practices: 28%, PT practices: 39%). Ninety-one percent of the patients and all health professionals completed the study. The health professionals responded well to the educational trainings; the utilization of the telephone helpline was low (one call each from GPs and PTs). Familiarisation with the routine of application of the intervention and positive attitudes were emphasized as facilitators of the implementation of the intervention, whereas a lack of time was mentioned as a barrier. Despite difficulties in the GPs’ adherence to the intervention protocol, the GPs, PTs and patients saw benefit in the intervention. The patients’ treatment adherence to physical therapy was good. There were minor issues in data collection, but no unintended consequences. Conclusion Although the process evaluation provided good support for the feasibility of study procedures, the intervention and its implementation strategy, we identified a need for improvement in recruitment of participants, the GP intervention part and the data collection procedures. The findings will inform the main trial to test the interventions effectiveness in a cluster RCT. Trial registration Projektdatenbank Versorgungsforschung Deutschland (German registry Health Services Research) VfD_MobilE-PHY_17_003910, date of registration: 30.11.2017; Deutsches Register Klinischer Studien (German Clinical Trials Register) DRKS00022918, date of registration: 03.09.2020 (retrospectively registered).

scholarly journals Getting Started Creating Data Dictionaries: How to Create a Shareable Data Set

2021 ◽  
Vol 4 (1) ◽  
pp. 251524592092800
Author(s):  
Erin M. Buchanan ◽  
Sarah E. Crain ◽  
Ari L. Cunningham ◽  
Hannah R. Johnson ◽  
Hannah Stash ◽  
...  
Keyword(s):  
Data Collection ◽  
Data Sharing ◽  
Search Engine ◽  
Web Applications ◽  
Data Sets ◽  
Data Dictionary ◽  
Data Set ◽  
Entire Process ◽  
Shared Data ◽  
Source Data

As researchers embrace open and transparent data sharing, they will need to provide information about their data that effectively helps others understand their data sets’ contents. Without proper documentation, data stored in online repositories such as OSF will often be rendered unfindable and unreadable by other researchers and indexing search engines. Data dictionaries and codebooks provide a wealth of information about variables, data collection, and other important facets of a data set. This information, called metadata, provides key insights into how the data might be further used in research and facilitates search-engine indexing to reach a broader audience of interested parties. This Tutorial first explains terminology and standards relevant to data dictionaries and codebooks. Accompanying information on OSF presents a guided workflow of the entire process from source data (e.g., survey answers on Qualtrics) to an openly shared data set accompanied by a data dictionary or codebook that follows an agreed-upon standard. Finally, we discuss freely available Web applications to assist this process of ensuring that psychology data are findable, accessible, interoperable, and reusable.

Design of a novel Peltier-based cooling device and its use in neutron diffraction data collection of perdeuterated yeast pyrophosphatase

2010 ◽  
Vol 43 (5) ◽  
pp. 1113-1120 ◽  
Author(s):  
Esko Oksanen ◽  
François Dauvergne ◽  
Adrian Goldman ◽  
Monika Budayova-Spano
Keyword(s):  
Data Collection ◽  
Neutron Diffraction ◽  
Diffraction Data ◽  
Catalytic Mechanism ◽  
Inorganic Pyrophosphatase ◽  
Neutron Diffraction Data ◽  
Cooling Device ◽  
Data Set ◽  
X Ray ◽  
X Ray Crystallography

H atoms play a central role in enzymatic mechanisms, but H-atom positions cannot generally be determined by X-ray crystallography. Neutron crystallography, on the other hand, can be used to determine H-atom positions but it is experimentally very challenging. Yeast inorganic pyrophosphatase (PPase) is an essential enzyme that has been studied extensively by X-ray crystallography, yet the details of the catalytic mechanism remain incompletely understood. The temperature instability of PPase crystals has in the past prevented the collection of a neutron diffraction data set. This paper reports how the crystal growth has been optimized in temperature-controlled conditions. To stabilize the crystals during neutron data collection a Peltier cooling device that minimizes the temperature gradient along the capillary has been developed. This device allowed the collection of a full neutron diffraction data set.

US2RO: Union of Superpoints to Recognize Objects

2021 ◽  
Vol 15 (04) ◽  
pp. 513-537
Author(s):  
Marcel Tiator ◽  
Anna Maria Kerkmann ◽  
Christian Geiger ◽  
Paul Grimm
Keyword(s):  
Imitation Learning ◽  
Network Architectures ◽  
Application Development ◽  
Repetitive Work ◽  
Data Set ◽  
Partition System ◽  
Performance Metric ◽  
Growing Environment ◽  
The Creation ◽  
Near Future

The creation of interactive virtual reality (VR) applications from 3D scanned content usually includes a lot of manual and repetitive work. Our research aim is to develop agents that recognize objects to enhance the creation of interactive VR applications. We trained partition agents in our superpoint growing environment that we extended with an expert function. This expert function solves the sparse reward signal problem of the previous approaches and enables to use a variant of imitation learning and deep reinforcement learning with dense feedback. Additionally, the function allows to calculate a performance metric for the degree of imitation for different partitions. Furthermore, we introduce an environment to optimize the superpoint generation. We trained our agents with 1182 scenes of the ScanNet data set. More specifically, we trained different neural network architectures with 1170 scenes and tested their performance with 12 scenes. Our intermediate results are promising such that our partition system might be able to assist the VR application development from 3D scanned content in near future.

scholarly journals Board diversity and financial performance: A graphical time-series approach

2015 ◽  
Vol 18 (3) ◽  
pp. 425-448 ◽  
Author(s):  
Cobus CH Taljaard ◽  
Michael JD Ward ◽  
Chris J Muller
Keyword(s):  
Time Series ◽  
Human Capital ◽  
Financial Performance ◽  
Demographic Data ◽  
Gender Diversity ◽  
Fiduciary Duty ◽  
Share Price ◽  
Theoretical Frameworks ◽  
Data Set ◽  
Board Diversity

Directors need to guide and govern companies on behalf of and for the benefit of shareholders and stakeholders. However questions remain as to whether boards with higher levels of diversity amongst directors are better equipped to fulfil their fiduciary duty than boards with lower levels of diversity. This research examines whether increased levels of diversity within boards are associated with improved financial performance to shareholders. From the literature, several theoretical frameworks that could explain why increased diversity might or might not lead to improved board performance were noted. Share returns and directors’ demographic data were collected for a sample of the largest 40 companies listed on the JSE from 2000 to 2013. This data was analysed using Muller and Ward’s (2013) investment style engine by forming portfolios of companies based on board-diversity constructs. Time-series graphs of cumulative portfolio market returns were analysed to determine if the diversity dimensions tested were associated with improved share performance. The results show that racial diversity within boards is not associated with financial performance. However, increased gender diversity and younger average board age are shown to have strong associations with improved share price performance. These findings are mainly attributed to agency-, resource dependency, human capital and signalling theories. Increased diversity is seen to bolster independence and lessen agency problems. Rising diversity levels also enlarge boards’ external networks, allowing diverse stakeholders’ needs to be accommodated and limiting dependence on strategic resources. Finally, as human capital is increased, the collection of different skills and experiences are associated with better performance. The results, based on a more robust methodology and improved data set, provide additional support to previous studies.

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