How efficient is Indian health insurance sector: An SBM‐DEA study

2021 ◽  
Author(s):  
Shoaib Alam Siddiqui
Keyword(s):  
Health Insurance ◽  
Insurance Sector ◽  
Indian Health

scholarly journals THE CONTRIBUTION OF GOVERNMENT SPONSORED HEALTH INSURANCE SCHEMES TOWARDS INDIAN HEALTH SECTOR

2021 ◽  
pp. 165-171
Author(s):  
Dr.V.Pugazhenthi
Keyword(s):  
Health Insurance ◽  
Health Sector ◽  
Insurance Premium ◽  
Insurance Companies ◽  
Export Credit ◽  
Insurance Sector ◽  
Indian Health ◽  
Health Insurance Premiums ◽  
The Government ◽  
Health Insurers

Today, there are thirty four general insurance companies including the Export Credit Guarantee Corporation of India Ltd (ECGC) and Agriculture Insurance Corporation (AIC) of India and 24 life insurance companies operating in the country. Barring the AIC and ECGC, all other 32 insurers transact health insurance business, of whom six are stand-alone health insurers. Although there are number of insurers and different types of health insurance products available in the market, three-fourth health-insured Indians still gets covered only by a government-sponsored health insurance scheme (GSHIS) like PMJAY. Of all the health insurance premiums underwritten in the year 2019-20, 10 per cent came only from the GSHIS. In terms of number of persons covered, 73 per cent health-insured people are governed by one or other GSHIS. Looking at the profitability of the health insurer also, the incurred claims ratio is just 97.22 per cent in GSHISs. Thus, the health insurance premium, penetration and profitability—all of these are significantly sponsored and subsidized by the government through GSHIS, incorporating the public–private partnership (PPP) mode. This article details the role of GSHIS in the health insurance segment, taking the performances of the Indian health insurance sector in the year 2019-20. KEYWORDS: Government sponsored health insurance schemes, health insurance, health premium, incurred claims ratio, insurance, insurance regulatory and development authority, standalone health insurers.

A clinical update on managed care implications for Australian psychiatric practice

2021 ◽  
pp. 103985622110300
Author(s):  
Jeffrey CL Looi ◽  
Stephen R Kisely ◽  
Tarun Bastiampillai ◽  
William Pring ◽  
Stephen Allison
Keyword(s):  
Health Insurance ◽  
Managed Care ◽  
Private Health Insurance ◽  
Psychiatric Treatment ◽  
Patient Choice ◽  
Insurance Sector ◽  
Cost Cutting ◽  
Appropriate Treatment ◽  
The Us ◽  
Limit Access

Objective: To provide a clinical update on private health insurance in Australia and outline developments in US-style managed care that are likely to affect psychiatric and other specialist healthcare. We explain aspects of the US health system, which has resulted in a powerful and profitable private health insurance sector, and one of the most expensive and inefficient health systems in the world, with limited patient choice in psychiatric treatment. Conclusions: Australian psychiatrists should be aware of changes to private health insurance that emphasise aspects of managed care such as selective contracting, cost-cutting or capitation of services. These approaches may limit access to private hospital care and diminish the autonomy of patients and practitioners in choosing the most appropriate treatment. Australian patients, carers and practitioners need to be informed about the potential impact of private managed care on patient-centred evidence-based treatment.

scholarly journals Behaviour of the Customers of an Insurance Company

2020 ◽  
Vol 6 (12) ◽  
pp. 336-341
Author(s):  
Dr. ML Sharma C Narinder Kaur and Mayank Singhal
Keyword(s):  
Health Insurance ◽  
Data Science ◽  
Consumer Behaviour ◽  
Real Life ◽  
Research Paper ◽  
Insurance Company ◽  
Health Issues ◽  
Time Data ◽  
Insurance Sector ◽  
Science Models

In today’s world as health issues among people increases, people become more aware for the health insurance. It’s a positive thing for the health companies but as the no. of customers increases, it is come into light that people are not punctual for paying the premium of the policy. This paper helps the policy companies to highlight and point out the defaulters who haven’t paid their premium. Mostly people forget about it, and some of them not paying the premium on time. In this research paper, I tried to understand the consumer behaviour in Insurance sector. The main objective of this paper to identify customers behaviour of paying the policy premiums and will they pay their next premium on time or not. Even will they pay their premium or not irrespective of time. Data was collected by various sites and some previous years data of some policy companies. Frequencies, Tabulation and some Data Science models have been used for the analysis. The objective of this project is to summarize is to make a predicting algorithm that can be used in real life applications to derive meaningful and accurate prediction based on the various aspects of data that is accessed.

Fair Play in Indian Health Insurance

2018 ◽  
Author(s):  
Shefali Malhotra ◽  
Ila Patnaik ◽  
Shubho Roy ◽  
Ajay Shah
Keyword(s):  
Health Insurance ◽  
Fair Play ◽  
Indian Health
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