A new report commissioned by the Canadian Medical Association (CMA) looks at the broader health impacts of COVID-19 in Canada. The November report, called A Struggling System, explores a range of growing problems, from mental health issues to substance abuse and deteriorating social determinants of health. Sadly, the report also confirms a fact that many have suspected since the beginning: that delays in care have led to thousands of preventable deaths.
“Although it is not surprising that more Canadians died in 2020 than in a typical year,” the authors write, “the number of excess deaths was greater than can be explained by COVID-19 alone. While there may be several drivers of these excess deaths, delayed or missed care due to shutdowns of services and lack of sufficient capacity in overburdened health systems may be a contributing factor.”
After analyzing the data, the authors estimated that delayed and missed health care contributed to more than 4,000 excess deaths not related to COVID-19 between August and December 2020. Needless to say, the total number of preventable deaths over the pandemic to date is likely much higher.
This research evaluates the current state and future outlook of emerging technologies on the actuarial profession over a three-year horizon. For the purpose of this report, a technology is considered to be a practical application of knowledge (as opposed to a specific vendor) and is considered emerging when the use of the particular technology is not already widespread across the actuarial profession. This report looks to evaluate prospective tools that actuaries can use across all aspects and domains of work spanning Life and Annuities, Health, P&C, and Pensions in relation to insurance risk. We researched and grouped similar technologies together for ease of reading and understanding. As a result, we identified the six following technology groups:
Machine Learning and Artificial Intelligence
Business Intelligence Tools and Report Generators
Extract-Transform-Load (ETL) / Data Integration and Low-Code Automation Platforms
Collaboration and Connected Data
Data Governance and Sharing
Digital Process Discovery (Process Mining / Task Mining)
Nicole Cervi, Deloitte Arthur da Silva, FSA, ACIA, Deloitte Paul Downes, FIA, FCIA, Deloitte Marwah Khalid, Deloitte Chenyi Liu, Deloitte Prakash Rajgopal, Deloitte Jean-Yves Rioux, FSA, CERA, FCIA, Deloitte Thomas Smith, Deloitte Yvonne Zhang, FSA, FCIA, Deloitte
Publication Date: October 2021
Publication Site: Society of Actuaries, SOA Research Institute
More than two-thirds of survey respondents stated that the third-party data about them was only 0 to 50 percent correct as a whole. One-third of respondents perceived the information to be 0 to 25 percent correct.
Whether individuals were born in the United States tended to determine whether they were able to locate their data within the data broker’s portal. Of those not born in the United States, 33 percent could not locate their data; conversely, of those born in the United States, only 5 percent had missing information. Further, no respondents born outside the United States and residing in the country for less than three years could locate their data.
The type of data on individuals that was most available was demographic information; the least available was home data. However, even if demographic information was available, it was not all that accurate and was often incomplete, with 59 percent of respondents judging their demographic data to be only 0 to 50 percent correct. Even seemingly easily available data types (such as date of birth, marital status, and number of adults in the household) had wide variances in accuracy.
Author(s): John Lucker, Susan K. Hogan, Trevor Bischoff