scholarly journals Data Driven Analytics of Road Quality

10.29007/6vjj ◽  
2019 ◽  
Author(s):  
Ali Rahim Taleqani ◽  
Raj Bridgelall ◽  
Jill Hough ◽  
Kendall Nygard
Keyword(s):  
Decision Making ◽  
Data Driven ◽  
Ride Quality ◽  
Maintenance Planning ◽  
Alternative Source ◽  
Road Roughness ◽  
Trained Personnel ◽  
Vehicle Sensors ◽  
The Impact ◽  
Map Service

There is a lack of research into the impact of road roughness on ride quality and route choice. The scarcity of ride roughness data for local and urban roads is likely one reason for the lack of such studies. Existing methods of obtaining ride roughness data are expensive and require expert practitioners and laborious data processing by trained personnel. Sensors in most current vehicles provide an alternative source for road roughness data. This study emulated the data needed from vehicle sensors by using the accelerometer and gyroscope of a smartphone. The authors used data collected from two different bus routes to classify segments of roads into objectively distinct roughness clusters. The output enables map service applications to suggest better routing options based on expected ride quality and also quantifies road roughness consistently to enable optimized maintenance planning and decision-making for roadway assets.

scholarly journals COVID-19 Risk Minimization Decision Making Strategy Using Data-Driven Model

2021 ◽  
Vol 3 (1) ◽  
pp. 57-66
Author(s):  
Akey Sungheetha
Keyword(s):  
Decision Making ◽  
Data Driven ◽  
Risk Minimization ◽  
Proposed Model ◽  
Epidemic Intelligence ◽  
Spread Dynamics ◽  
Using Data ◽  
The Impact ◽  
Global Strategies

In order to establish social resilient and sustainable cities during the pandemic outbreak, it is essential to forecast the epidemic trends and trace infection by means of data-driven solution addressing the requirements of local operational defense applications and global strategies. The smartphone based Digital Proximity Tracing Technology (DPTT) has obtained a great deal of interest with the ongoing COVID-19 pandemic in terms of mitigation, containing and monitoring with the population acceptance insights and effectiveness of the function. The DPTTs and Data-Driven Epidemic Intelligence Strategies (DDEIS) are compared in this paper to identify the shortcomings and propose a novel solution to overcome them. In terms of epidemic resurgence risk minimization, guaranteeing public health safety and quick return of cities to normalcy, a social as well as technological solution may be provided by incorporating the key features of DDEIS. The role of human behavior is taken into consideration while assessing its limitations and benefits for policy making as well as individual decision making. The epidemiological model of SEIR (Susceptible–Exposed–Infectious–Recovered) provides preliminary data for the preferences of users in a DPTT. The impact of the proposed model on the spread dynamics of Covid-19 is evaluated and the results are presented.

Multidimensional poverty in Kolkata’s slums: towards data driven decision making in a medium-sized NGO

2020 ◽  
Author(s):  
Maurice Lange
Keyword(s):  
Decision Making ◽  
Data Collection ◽  
Multidimensional Poverty ◽  
Data Driven ◽  
Data Driven Decision Making ◽  
Collection Method ◽  
Data Collection Method ◽  
The Impact

Calcutta Rescue (CR) is a medium-sized NGO based in Kolkata, India that focuses on supporting the residents of the city’s slums. In 2019, CR launched its first multidimensional poverty survey seeking to understand the degree to which, and in what ways, the populations they work with were deprived. It was hoped that this would also contribute to the measurement of the impact of their interventions. This piece introduces and discusses the composition of the survey and the data collection method. It then presents some of the results, and discusses how they are informing, and will inform, CR’s work.

Data-driven Personalization of Physiotherapy Care Pathway: Case Posture Scanning (Preprint)

2020 ◽  
Author(s):  
Olli Korhonen ◽  
Karin Väyrynen ◽  
Tino Krautwald ◽  
Glenn Bilby ◽  
Anna Broers ◽  
...  
Keyword(s):  
Decision Making ◽  
Care Pathway ◽  
Human Movement ◽  
Digital Data ◽  
Data Driven ◽  
Care Process ◽  
Root Cause ◽  
Care Models ◽  
The Impact

BACKGROUND Advanced sensor, measurement and analytics technologies enable entirely new ways to deliver care. Increased availability of digital data can be used for data-driven personalization of care. Data-driven personalization can complement expert-driven personalization by providing support for decision making, or even automating some parts of decision making in relation to the care process. OBJECTIVE The aim of this study is to analyze how digital data acquired from posture scanning can enhance physiotherapy and enable more personalized delivery of physiotherapy. METHODS A Case study is conducted with a company that has designed a Posture Scan Recording System (PSRS), which is an Information System (IS) that can record, measure and report human movement digitally to be used in physiotherapy. Interviews are used to explore the viewpoints of different stakeholders involved in physiotherapy. The data is analyzed thematically. RESULTS As the result of our thematic analysis, we identified three different support types the posture scanning can provide to enable more personalized delivery of physiotherapy. The types are: (1) Modeling the condition, which is about the use of posture scanning data for detecting and understanding the healthcare user’s condition and the root cause of the possible pain. (2) Visualization for a shared understanding, which is about the use of posture scanning data to inform and involve the healthcare user in more collaborative decision-making regarding care. (3) Evaluating the impact of the intervention, which is about the use of posture scanning data to evaluate the care progress and impact of the intervention. CONCLUSIONS Current care models in healthcare emphasize the importance to put the healthcare user at the center of the care. However, physiotherapy has lacked data driven solutions to inform and involve the healthcare user in care in a person-centered manner. The present study analyzes how posture scanning can enhance physiotherapy and presents three different types of support that posture scanning can provide for data-driven personalization of physiotherapy.

scholarly journals Data Storytelling with Dashboard: Accelerating Understanding Through Data Visualization in Financial Technology Company Case Study

Jurnal METRIS ◽  
2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Ferdian Suprata
Keyword(s):  
Decision Making ◽  
Data Visualization ◽  
Rapid Development ◽  
Data Driven ◽  
Decision Making Process ◽  
Business Practices ◽  
Context Data ◽  
The Impact ◽  
Financial Technology

In the rapid development many organisation rely on context data to support as well as to assist its decision making process. Consequently, Business Intelligence (BI), Dashboard, and Data Visualization emerged as primary tools in early 1990s as a way to help practitioners, data analyst, and data scientist to present context data into an actionable information for decision making process. However, despite its robust and powerful tools, recent study done by Kaggle’s survey in 2017 resulted that in the last five years, many companies were not able to create effective data-driven dashboard due to complex dataset, poor dashboard design, and insufficient storytelling. Hence, understanding of who is going to use dashboard, choosing which data and metrics to visualize in the right context, knowing how to convey information, driving engagement, and persuading audiences are essential in current business practices. This study is aimed to help practitioners to understand the impact of effective dashboard can have on decision making process, to design leveraging dashboard, and to present the dashboard in storytelling. A literature study is performed to gather all relevant information resulted in guidelines for dashboard creator. Case study in financial technology company is applied to experiment and to test the guidelines for assisting dashboard creator to present data-driven insight to the stakeholder.

scholarly journals Data-Driven Personalization of a Physiotherapy Care Pathway: Case Study of Posture Scanning

10.2196/18508 ◽  
2020 ◽  
Vol 7 (2) ◽  
pp. e18508
Author(s):  
Olli Korhonen ◽  
Karin Väyrynen ◽  
Tino Krautwald ◽  
Glenn Bilby ◽  
Hedwig Anna Theresia Broers ◽  
...  
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Information System ◽  
Health Care Professionals ◽  
Digital Data ◽  
Digital Tools ◽  
Data Driven ◽  
Care Process ◽  
The Impact

Background Advanced sensor, measurement, and analytics technologies are enabling entirely new ways to deliver health care. The increased availability of digital data can be used for data-driven personalization of care. Data-driven personalization can complement expert-driven personalization by providing support for decision making or even by automating some parts of decision making in relation to the care process. Objective The aim of this study was to analyze how digital data acquired from posture scanning can enhance physiotherapy services and enable more personalized delivery of physiotherapy. Methods A case study was conducted with a company that designed a posture scan recording system (PSRS), which is an information system that can digitally record, measure, and report human movement for use in physiotherapy. Data were collected through interviews with different stakeholders, such as health care professionals, health care users, and the information system provider, and were analyzed thematically. Results Based on the results of our thematic analysis, we propose three different types of support that posture scanning data can provide to enhance and enable more personalized delivery of physiotherapy: 1) modeling the condition, in which the posture scanning data are used to detect and understand the health care user’s condition and the root cause of the possible pain; 2) visualization for shared understanding, in which the posture scanning data are used to provide information to the health care user and involve them in more collaborative decision-making regarding their care; and 3) evaluating the impact of the intervention, in which the posture scanning data are used to evaluate the care progress and impact of the intervention. Conclusions The adoption of digital tools in physiotherapy has remained low. Physiotherapy has also lacked digital tools and means to inform and involve the health care user in their care in a person-centered manner. In this study, we gathered insights from different stakeholders to provide understanding of how the availability of digital posture scanning data can enhance and enable personalized physiotherapy services.

scholarly journals Impact of Corporate Governance on the Effectiveness of Accounting Information System in Jordanian Industrial Companies

2017 ◽  
Vol 10 (10) ◽  
pp. 1
Author(s):  
Feras Izzat Oqlah Kasasbeh
Keyword(s):  
Decision Making ◽  
Information System ◽  
Corporate Governance ◽  
Performance Evaluation ◽  
Accounting Information ◽  
Ease Of Use ◽  
Data Driven ◽  
Accounting Information System ◽  
Industrial Companies ◽  
The Impact

In this study, the impact of corporate governance factors on the effectiveness of accounting information system has been investigated considering Jordanian Industrial Companies. Authors considered the influence of corporate governance factors such as organisational vision, and goal translation, data-driven decision making, expertise and experience of governing committee, KPI based performance evaluation and effective collaboration between leaders and departments on the effectiveness of accounting information system. The effectiveness of accounting information system has been measured by the ease of use, security, storage, it's usability for delivery and decision making. The secondary data was collected using a questionnaire from 30 accounting firms in Jordan. Specialised software called Statistical Package for the Social Sciences (SPSS) has been used to analyse the data gathered and draw conclusions. Authors found that AIS is an effective tool for decision making and performance evaluation when management adopts the data-driven approach. However, for an effective AIS, it must be governed by subject matter experts who have expertise and experience is financial and accounting methodologies. Authors emphasised on the role of the leadership team in creating a clear vision and ASMART goals so that the AIS system can be aligned and help the departments to deliver on targets. It was observed that effective communication, collaboration among the leaders and departments significantly influence the effectiveness of AIS structure and it's ability to deliver results.

Data-Driven Personalization of a Physiotherapy Care Pathway: Case Study of Posture Scanning (Preprint)

2020 ◽  
Author(s):  
Olli Korhonen ◽  
Karin Väyrynen ◽  
Tino Krautwald ◽  
Glenn Bilby ◽  
Hedwig Anna Theresia Broers ◽  
...  
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Information System ◽  
Health Care Professionals ◽  
Digital Data ◽  
Digital Tools ◽  
Data Driven ◽  
Care Process ◽  
The Impact

BACKGROUND Advanced sensor, measurement, and analytics technologies are enabling entirely new ways to deliver health care. The increased availability of digital data can be used for data-driven personalization of care. Data-driven personalization can complement expert-driven personalization by providing support for decision making or even by automating some parts of decision making in relation to the care process. OBJECTIVE The aim of this study was to analyze how digital data acquired from posture scanning can enhance physiotherapy services and enable more personalized delivery of physiotherapy. METHODS A case study was conducted with a company that designed a posture scan recording system (PSRS), which is an information system that can digitally record, measure, and report human movement for use in physiotherapy. Data were collected through interviews with different stakeholders, such as health care professionals, health care users, and the information system provider, and were analyzed thematically. RESULTS Based on the results of our thematic analysis, we propose three different types of support that posture scanning data can provide to enhance and enable more personalized delivery of physiotherapy: 1) modeling the condition, in which the posture scanning data are used to detect and understand the health care user’s condition and the root cause of the possible pain; 2) visualization for shared understanding, in which the posture scanning data are used to provide information to the health care user and involve them in more collaborative decision-making regarding their care; and 3) evaluating the impact of the intervention, in which the posture scanning data are used to evaluate the care progress and impact of the intervention. CONCLUSIONS The adoption of digital tools in physiotherapy has remained low. Physiotherapy has also lacked digital tools and means to inform and involve the health care user in their care in a person-centered manner. In this study, we gathered insights from different stakeholders to provide understanding of how the availability of digital posture scanning data can enhance and enable personalized physiotherapy services.

Sign in / Sign up

Export Citation Format

Share Document