scholarly journals THE USE OF ANNUAL MILEAGE AS A RATING VARIABLE

2015 ◽  
Vol 46 (1) ◽  
pp. 39-69 ◽  
Author(s):  
Jean Lemaire ◽  
Sojung Carol Park ◽  
Kili C. Wang
Keyword(s):  
New Technologies ◽  
Building Blocks ◽  
Third Party ◽  
Insurance Companies ◽  
Traffic Density ◽  
Auto Insurance ◽  
Several Variables ◽  
New Variables ◽  
Developed Nations ◽  
High Traffic Density

AbstractAuto insurance companies must adapt to ever-evolving regulations and technological progress. Several variables commonly used to predict accidents rates, such as gender and territory, are being questioned by regulators. Insurers are pressured to find new variables that predict accidents more accurately and are socially acceptable. Annual mileage seems an ideal candidate. The recent development in new technologies should induce insurance carriers to explore ways to introduce mileage-based insurance premiums. We use the unique database of a major insurer in Taiwan to investigate whether annual mileage should be introduced as a rating variable in auto third-party liability insurance. We find that annual mileage is an extremely powerful predictor of the number of claims at-fault. The inclusion of mileage as a new variable should, however, not take place at the expense of bonus-malus systems; rather, the information contained in the bonus-malus premium level complements the value of annual mileage. An accurate rating system should therefore include annual mileage and bonus-malus as the two main building blocks, possibly supplemented by the use of other variables like age, territory and engine cubic capacity. While Taiwan has specific characteristics (high traffic density, a mild bonus-malus system and limited compulsory auto coverage), our results are so strong that we can confidently conjecture that they extend to all developed nations.

scholarly journals A Fuzzy Model to Interpret Data of Drive Performances from Patients with Sleep Deprivation

2012 ◽  
Vol 2012 ◽  
pp. 1-5 ◽  
Author(s):  
Pasquale Sena ◽  
Paolo Attianese ◽  
Francesca Carbone ◽  
Arcangelo Pellegrino ◽  
Aldo Pinto ◽  
...  
Keyword(s):  
New Technologies ◽  
Fuzzy Model ◽  
Warning Signal ◽  
Lateral Position ◽  
Traffic Density ◽  
The Road ◽  
First Derivative ◽  
Control Command ◽  
High Level ◽  
High Traffic Density

The search for safe vehicles is increasing with both diffusion of high traffic density over the world and availability of new technologies providing sophisticated tools previously impossible to realize. Design and development of the necessary devices may be based on simulation tests that reduce cost allowing trials in many directions. A proper choice of the arrangement of the drive simulators, as much as of the parameters to be monitored, is of basic importance as they can address the design of devices somehow responsible for the drivers safety or, even their lives. This system setup, consisting of a free car simulator equipped with a monitoring system, collects in a nonintrusive way data of the car lateral position within the road lane and of its first derivative. Based on these measured parameters, the system is able to detect symptoms of drowsiness and sleepiness. The analysis is realized by a fuzzy inferential process that provides an immediate warning signal as soon as drowsiness is detected with a high level of certainty. Enhancement of reliability and minimisation of the false alarm rate are obtained by operating continuous comparison between learned driver typical modalities of operation on the control command of the vehicle the pattern recorded.

Online Patient Consultation

2020 ◽  
Vol 158 (04) ◽  
pp. 345-350
Author(s):  
Christian Juhra ◽  
Jörg Ansorg ◽  
David Alexander Back ◽  
Dominik John ◽  
Andrea Kuckuck-Winkelmann ◽  
...  
Keyword(s):  
New Technologies ◽  
Communication Technologies ◽  
Phone Call ◽  
Insurance Companies ◽  
Personal Contact ◽  
Software Products ◽  
Patient Consent ◽  
Health Insurance Companies ◽  
Patient Consultation ◽  
Certified Software

AbstractNew communication technologies allow patients to communicate with their physicians from anywhere using computer or smartphone. Adding video to the mere phone call optimizes the personal contact between patient and physicians regardless of distance. Legal and reimbursements requirements must be taken into account, especially only certified software products must be used. In addition, patient consent is needed and confidentiality must be assured. The video patient consultation can be reimbursed by the health insurance companies. As with all new technologies, the introduction of these video consultations faced some challenges. Although patients and physicians have expressed great interest in this technology, it has been rarely used so far. The current COVID crisis increased the need for video consultations resulting in an increasing use of video patient consultation. It can be expected that this demand will still exists after the COVID crisis.

Effective Customer Support System of Life Insurance Companies

2014 ◽  
Vol 4 (2) ◽  
Author(s):  
Rajesh Srivastava ◽  
Dr. Preeti Sharma
Keyword(s):  
Life Insurance ◽  
Economies Of Scale ◽  
New Technologies ◽  
Insurance Industry ◽  
Integrated Approach ◽  
Customer Experience ◽  
Disruptive Innovation ◽  
Insurance Companies ◽  
Insurance Business ◽  
Strategic Imperative

Increased competition, new technologies and the shift in power from the provider to the customer have produced unrelenting pressure on life insurance business. The market forces point to one overwhelming strategic imperative: customer-focused strategy. Customers are willing to build long-term relationships based on trust and mutual respect with firms that provide a differentiated and personalized service offering. Over the past few years, life insurance industry responded to intensified competition and high customer attrition by entering each other’s markets to capture greater “wallet share” and ostensibly lower their economies of scale. The service delivery process is influenced by quality of personnel, information technology, internal processes, human resource practices, and even an institution’s own change orientation. Now a day’s customers are demanding seamless, multi-channel sales and service experiences. Simultaneously, other players are looking for opportunities to invade this space or to redefine it through disruptive innovation. The result is forcing life insurance companies to examine a more balanced, integrated approach to the customer experience and growth. This research, we analyze the need, preference and satisfaction of customers in life insurance business and provide perspective on how to improve the customer experience.

The Building Blocks of Formulas to Measure Expectation Damages; the Indifference Principle

2018 ◽  
Author(s):  
Melvin A. Eisenberg
Keyword(s):  
Market Price ◽  
Building Blocks ◽  
Third Party ◽  
Replacement Cost ◽  
Contract Price ◽  
Resale Price ◽  
The Difference ◽  
Lost Profit

Chapter 13 concerns the building blocks of formulas to measure expectation damages: replacement cost, market price, resale price, diminished value, and lost profits. Replacement-cost damages are based on the difference between the contract price and the actual or imputed cost of a replacement transaction. Resale-price damages are based on the difference between the contract price payable by a breaching buyer and the price the seller received on resale to a third party. Diminished-value damages are based on the difference between the value of the performance that a breaching seller rendered and the value of the performance that she promised to render. Lost-profit damages are based on the difference between the price a breaching buyer agreed to pay and the seller’s variable costs.

scholarly journals CioSy: A Collaborative Blockchain-Based Insurance System

Electronics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1343
Author(s):  
Faiza Loukil ◽  
Khouloud Boukadi ◽  
Rasheed Hussain ◽  
Mourad Abed
Keyword(s):  
Data Storage ◽  
Insurance Industry ◽  
Emerging Technology ◽  
Third Party ◽  
Insurance Companies ◽  
Smart Contracts ◽  
Insurance Policy ◽  
Insurance System ◽  
Advanced Technologies ◽  
Multiple Challenges

The insurance industry is heavily dependent on several processes executed among multiple entities, such as insurer, insured, and third-party services. The increasingly competitive environment is pushing insurance companies to use advanced technologies to address multiple challenges, namely lack of trust, lack of transparency, and economic instability. To this end, blockchain is used as an emerging technology that enables transparent and secure data storage and transmission. In this paper, we propose CioSy, a collaborative blockchain-based insurance system for monitoring and processing the insurance transactions. To the best of our knowledge, the existing approaches do not consider collaborative insurance to achieve an automated, transparent, and tamper-proof solution. CioSy aims at automating the insurance policy processing, claim handling, and payment using smart contracts. For validation purposes, an experimental prototype is developed on Ethereum blockchain. Our experimental results show that the proposed approach is both feasible and economical in terms of time and cost.

scholarly journals Which health-related reasons lead to prehospital emergency care and how does subjective emergency status connect to subsequent care?

2021 ◽  
Author(s):  
Silke Piedmont ◽  
Anna Katharina Reinhold ◽  
Jens-Oliver Bock ◽  
Enno Swart ◽  
Bernt-Peter Robra
Keyword(s):  
Health Insurance ◽  
Emergency Care ◽  
Third Party ◽  
Insurance Companies ◽  
Prehospital Emergency Care ◽  
Health Related ◽  
Life Threatening ◽  
Prehospital Emergency ◽  
Health Insurance Companies ◽  
Reported Data

Abstract Objectives/Background In many countries, the use of emergency medical services (EMS) increases steadily each year. At the same time, the percentage of life-threatening complaints decreases. To redesign the system, an assessment and consideration of the patients’ perspectives is helpful. Methods We conducted a paper-based survey of German EMS patients who had at least one case of prehospital emergency care in 2016. Four health insurance companies sent out the questionnaire to 1312 insured persons. We linked the self-reported data of 254 respondents to corresponding claims data provided by their health insurance companies. The analysis focuses a.) how strongly patients tend to call EMS for themselves and others given different health-related scenarios, b.) self-perceived health complaints in their own index case of prehospital emergency care and c.) subjective emergency status in combination with so-called “objective” characteristics of subsequent EMS and inpatient care. We report principal diagnoses of (1) respondents, (2) 57,240 EMS users who are not part of the survey and (3) all 20,063,689 inpatients in German hospitals. Diagnoses for group 1 and 2 only cover the inpatient stay that started on the day of the last EMS use in 2016. Results According to the survey, the threshold to call an ambulance is lower for someone else than for oneself. In 89% of all cases during their own EMS use, a third party called the ambulance. The most common, self-reported complaints were pain (38%), problems with heart and circulation (32%), and loss of consciousness (17%). The majority of respondents indicated that their EMS use was due to an emergency (89%). We could detect no or only weak associations between patients’ subjective urgency and different items for objective care. Conclusion Dispatchers can possibly optimize or reduce the disposition of EMS staff and vehicles if they spoke directly to the patients more often. Nonetheless, there is need for further research on how strongly the patients’ perceived urgency may affect the disposition, rapidness of the service and transport targets.

scholarly journals Diagnostics and monitoring tools for noncommunicable diseases: a missing component in the global response

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Antonio Bernabé-Ortiz ◽  
Jessica H. Zafra-Tanaka ◽  
Miguel Moscoso-Porras ◽  
Rangarajan Sampath ◽  
Beatrice Vetter ◽  
...  
Keyword(s):  
Health System ◽  
New Technologies ◽  
Action Plan ◽  
Building Blocks ◽  
Communicable Diseases ◽  
Noncommunicable Disease ◽  
World Health ◽  
Noncommunicable Diseases ◽  
Diagnostic Tools ◽  
Monitoring Tools

AbstractA key component of any health system is the capacity to accurately diagnose individuals. One of the six building blocks of a health system as defined by the World Health Organization (WHO) includes diagnostic tools. The WHO’s Noncommunicable Disease Global Action Plan includes addressing the lack of diagnostics for noncommunicable diseases, through multi-stakeholder collaborations to develop new technologies that are affordable, safe, effective and quality controlled, and improving laboratory and diagnostic capacity and human resources. Many challenges exist beyond price and availability for the current tools included in the Package of Essential Noncommunicable Disease Interventions (PEN) for cardiovascular disease, diabetes and chronic respiratory diseases. These include temperature stability, adaptability to various settings (e.g. at high altitude), need for training in order to perform and interpret the test, the need for maintenance and calibration, and for Blood Glucose Meters non-compatible meters and test strips. To date the issues surrounding access to diagnostic and monitoring tools for noncommunicable diseases have not been addressed in much detail. The aim of this Commentary is to present the current landscape and challenges with regards to guidance from the WHO on diagnostic tools using the WHO REASSURED criteria, which define a set of key characteristics for diagnostic tests and tools. These criteria have been used for communicable diseases, but so far have not been used for noncommunicable diseases. Diagnostic tools have played an important role in addressing many communicable diseases, such as HIV, TB and neglected tropical diseases. Clearly more attention with regards to diagnostics for noncommunicable diseases as a key component of the health system is needed.

scholarly journals Imperiling on Urban Environment by Air Pollution and its Impact on Human Health

2019 ◽  
Vol 62 (2) ◽  
pp. 104-112
Author(s):  
Durdana Rais Hashmi ◽  
Akhtar Shareef ◽  
Talha Rehan Qadri ◽  
Muhammad Azam
Keyword(s):  
Particulate Matter ◽  
Human Health ◽  
Trace Gases ◽  
Quality Standard ◽  
Traffic Density ◽  
Pollution Level ◽  
Residential Areas ◽  
Industrial Emissions ◽  
Industrial Areas ◽  
High Traffic Density

Present study was carried out to analyze the concentration of the pollutants due to air born particulate matter (PM10) and infectious trace gases and their effects on human health at ten different locations along busy intersections in the commercial, residential and industrial areas of Karachi city. At each selected location, the study was carried out to determine the level of particulate matter and trace gases for a period of 8 h twice in a month during the year 2015. Samples were collected at ten selected locations i.e. Karimabad(C-1), Tibet Centre(C-2), and Liaquatabad(C-3) in commercial areas; PIB Colony(R-1), Nazimabad(R-2) and Gulshan-e-Iqbal(R-3) in residential areas; Siemens G. Belt(I-E1), Naurus G Belt (I-E2), Singer Chowrangi(I-W3) and Chamra Chowrangi(I-W4) in industrial areas of the city. Resultsreceived from different air quality categories were calculated according to National Environmental Quality Standard (NEQS) at selected locations, as in commercial areas showing poor pollution level for trace gases and PM10 due to high traffic density. In Residential areas PIB Colony (R-1) and Gulshan-e-Iqbal (R-3), found under good category with respect to the trace gases and moderate pollution level for the PM10 pollution, having low traffic density whereas Nazimabad(R-2) presents moderate category for trace gases and unhealthy category for PM10 pollution with high traffic density. In industrial areas Singer Chowrangi (I-W3) and Chamra Chowrangi(I-W4) found under moderate pollution level with moderate traffic density, whereas, Siemens G. Belt(I-E1) and Naurus G. Belt(I-E2) locations are represented by moderate pollution values for trace gases and found under poor pollution level for PM10 pollution, may be due to industrial emissions and heavy vehicular emission. Level of PM10 and trace gases at all the selected sites excluding residential areas, exceeds the permissible limits as specified by NEQS.

scholarly journals Platform for Integrating and Testing Tools which Transform Natural Language Queries into SPARQL Queries

2019 ◽  
Vol 17 (2) ◽  
pp. 138-152
Author(s):  
I. S. Postanogov ◽  
I. A. Turova
Keyword(s):  
Natural Language ◽  
Data Flow ◽  
Data Access ◽  
Building Blocks ◽  
Third Party ◽  
Flow Diagram ◽  
Graphical Form ◽  
Testing Tools ◽  
Party Transformation ◽  
The Individual

In the paper we discuss how to support the process of creating tools which transform natural language (NL) queries into SPARQL queries (hereinafter referred to as a transformation tool). In the introduction, we describe the relevance of the task of understanding natural language queries by information systems, as well as the advantages of using ontologies as a means of representing knowledge for solving this problem. This ontology-based data access approach can be also used in systems which provide natural language interface to databases. Based on the analysis of problems related to the integration and testing of existing transformation tools, as well as to support the creation and testing own transformation modules, the concept of a software platform that simplifies these tasks is proposed. The platform architecture satisfies the requirements for ease of connecting third party transformation tools, reusing individual modules, as well as integrating the resulting transformation tools into other systems, including testing systems. The building blocks of the created transformation systems are the individual transformation modules packaged in Docker containers. Program access to each module is carried out using gRPC. Modules loaded into the platform can be built into the transformation pipeline automatically or manually using the built-in third party SciVi data flow diagram editor. Compatibility of individual modules is controlled by automatic analysis of application programming interfaces. The resulting pipeline is combined according to specified data flow into a single multi-container application that can be integrated into other systems, as well as tested on extendable test suites. The expected and actual results of the query transformation are available for viewing in graphical form in the visualization tool developed earlier.

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