Results 21 to 30 of about 248,035 (295)
Women's Health Reports, 2021 Background: The most common reason for hospitalization in the United States is childbirth. The costs of childbirth are substantial. Materials and Methods: This was a retrospective cohort study of hospital deliveries identified in the MarketScan ...
Christopher M. Black +5 more
doaj +1 more source
Health Informatics Journal, 2022 South Korea has the mandatory National Health Insurance (NHI) and supplemental Private Indemnity Health Insurance (PIHI). According to the Financial Supervisory Service, the share of the population with PIHI increased to 66% in 2018 due to the financial ...
Sungchul Bae, Byoung-Kee Yi
doaj +1 more source
BMC Health Services Research, 2022 Background The Pradhan Mantri Jan Arogya Yojana (PMJAY), a publicly funded health insurance scheme for the poor in India, was launched in 2018. Early experiences of states with various purchasing arrangements can provide valuable insights for its future ...
Kheya Melo Furtado +5 more
doaj +1 more source
Left-truncated health insurance claims data: theoretical review and empirical application
AStA Advances in Statistical Analysis, 2023 AbstractFrom the inventory of the health insurer AOK in 2004, we draw a sample of a quarter million people and follow each person’s health claims continuously until 2013. Our aim is to estimate the effect of a stroke on the dementia onset probability for Germans born in the first half of the 20th century.
Rafael Weißbach +4 more
openaire +5 more sources
The Implementation of Machine Learning In The Insurance Industry With Big Data Analytics
International Journal of Data Informatics and Intelligent Computing, 2023 This study demonstrates how Machine Learning techniques and Big Data Analytics can be used in the insurance sector. Due to various web technologies, mobile devices, and sensor devices, the amount of data in the insurance sector is currently growing daily.
K. Immanuel, Jones, Swati Sah
semanticscholar +1 more source
Crop Insurance Policies in India: An Empirical Analysis of Pradhan Mantri Fasal Bima Yojana
Risks, 2021 India is home to over one-third of all undernourished children worldwide, and it ranks 94th out of 107 nations in the Global Hunger Index 2020. Instability in production and market risks make agriculture a risky business and directly affect farmers ...
Sandeep Kaur +3 more
doaj +1 more source
A review of the Ghana National Health Insurance Scheme claims database: possibilities and limits for drug utilization research [PDF]
Basic & Clinical Pharmacology & Toxicology, 2018 AbstractBackgroundThere are inadequate data on prescribed drug utilization in Sub‐Saharan Africa (SSA). Drug utilization research (DUR) in this region is hampered by lack of access to databases that capture prescribed drug utilization such as health insurance claims, electronic medical records and disease registries.
Ankrah, Daniel +5 more
openaire +2 more sources
Cyber risk and cybersecurity: a systematic review of data availability
The Geneva Papers on Risk and Insurance - Issues and Practice, 2022 Cybercrime is estimated to have cost the global economy just under USD 1 trillion in 2020, indicating an increase of more than 50% since 2018. With the average cyber insurance claim rising from USD 145,000 in 2019 to USD 359,000 in 2020, there is a ...
Frank Cremer +6 more
semanticscholar +1 more source
Alleged malpractice in orthopaedics. Analysis of a series of medmal insurance claims
Journal of Orthopaedics and Traumatology, 2018 Background Medical malpractice is an important topic worldwide, and orthopedics is a clinical branch that is considered to be at a high risk for claims.
M. B. Casali +7 more
doaj +1 more source
Fraud Detection in Motor Insurance Claims Using Supervised Learning Techniques: A Review
International Journal of Computer and Information Technology(2279-0764), 2023 Fraudulent claims have been a big drawback in motor insurance despite the insurance industry having vast amounts of motor claims data. Analyzing this data can lead to a more efficient way of detecting reported fraudulent claims. The challenge is how to extract insightful information and knowledge from this data and use it to model a fraud detection ...
David Gichohi Maina +2 more
openaire +1 more source