Edition

2022 Health Meeting Call for Proposals



Session Categories

Business Intelligence/Health Care Economics
Technologies and analyses used to understand business data and information. Health care economics includes economics of delivery and consumption of health care. Subcategories include: data visualization, data mining, presentation of information, data analytics, data sources, predictive modeling, health care economics.

Behavioral Finance and Economics
Understanding how psychological, cognitive, emotional, cultural, and social factors affects finance and economics.

Care Management
An approach to patient care that has a goal of improving outcomes, efficiencies, coordination, and reducing waste. Subcategories include: health care waste, coordination of care, chronic care conditions, direct primary care, care delivery.

Dental
Dental benefit topics, including private and public health care coverage and programs.

Disability Insurance
Disability insurance topics, including long-term, short-term, and government programs.

Financial Reporting/Reserving
Insurance plan financial reporting activities, including: reserving, estimating liabilities and assets, Statements of Actuarial Opinion, asset adequacy analysis, regulatory requirements, Orange Blanks, Blue Blanks, statutory and GAAP accounting, valuation, medical loss ratios.

Innovation/Technology
Innovation in insurance products, risk assessment, health care delivery, technology related to health care, health care outcomes, futurism, digital health.

Individual/Small Group/ACA
Private health insurance for individual, small groups and Affordable Care Act (ACA).

International Health
Health care topics outside of the U.S.

Large Group
Private health insurance for large groups and other coverages (not including individual and small group). Subcategories include: Multiple Employer Welfare Arrangements, Association Health Plans, administrative services only, large group, self-funder employer coverage, underwriting, direct-to-employer contracting.

Long-Term Care
Long-term care insurance including home-based, nursing care, long-term care facility.

Medicaid
U.S. Medicaid program topics, including: state programs, Medicaid managed care organizations, Managed Long-Term Services and Supports (MLTSS), and ACA expansion.

Medicare
U.S. federal Medicare fee-for-service and Medicare Advantage and Part D topics.

Provider Payment
All topics related to physician and hospital payments. Subcategories include: value-based arrangements, hospital and physician reimbursement, Accountable Care Organizations (ACOs), Medicare Shared Savings Program (MSSP), Medicare Access and CHIP Reauthorization Act (MACRA), Merit-based Incentive Payment System (MIPS), billing, fee-for-service, provider contracting, risk-sharing arrangements, charge masters, provider networks, out-of-network reimbursement.

Pharmacy

Pharmacy benefits coverage, drug manufacturing and innovation, Pharmacy Benefit Managers (PBMs).

Policy Related Topics (AAA)
American Academy of Actuaries policy topics.

Actuarial Professionalism
Topics related to professionalism within the Society of Actuaries.

Public Health/Population Health
Public health and population health topics.

RBC/Surplus/ORSA
Risk-Based Capital (RBC), surplus, and NAIC’s Own Risk and Solvency Assessment (ORSA) topics.

Regulatory Issues
Issues related to state regulation of insurance companies.

Research
Actuarial research topics including research sponsored by the Society of Actuaries.

Risk Adjustment
Topics related to risk adjustment models including those that are used for government programs and in commercial markets and innovations and changes in risk adjustment.

Specialty Supplemental Benefits
Specialty and supplemental health care benefit topics, including: critical illness, Medicare Supplement, accident, hospital indemnity, health/life combination benefits, innovation in supplemental benefits, voluntary benefits, short-term limited duration plans.

Other
Other health care or actuarial topics not covered by these categories.

 

Skills-based Learning Topics

Data Science Foundations

  • Extract and transform information from databases
  • Know the key data requirements
  • Identify data sources
  • Understand and inform database design as it pertains to actuarial work
  • Test, validate and clean data for use in analysis
  • Manage and analyze data

Applied Data Analysis

  • Identify and explain conclusions that emerge from data analysis
  • Demonstrate superior analytical skills; the ability to take large amounts of complex information and synthesize it into something meaningful
  • Working knowledge of Excel, database, and statistical analysis language
  • Use data analysis to obtain informed conclusions
  • Use data driven decision making
  • Provides data analyses that support management decisions

Predictive Analytics

  • Stay abreast of developing advanced analytical methods made possible by increased computing capabilities
  • Understand common uses of new or emerging analytical methods
  • Understand key concepts in developing data sets for predictive modeling
  • Apply key concepts in developing data sets for predictive modeling
  • Perform predictive modeling using GLM and nonlinear methods
  • Understand the use and limitations of unsupervised machine learning
  • Know R or Python language to perform predictive analytics

Actuarial Models and Analysis

  • Performs actuarial analysis and modeling including but not limited to reserves, pricing, and forecasting
  • Perform an actual to expected analysis of results
  • Perform actuarial analysis and modeling including pricing and forecasting
  • Perform experience studies and assist in development of pricing, projection, or valuation assumptions
  • Create, build, update, enhance, run, validate, and document actuarial models
  • Perform ad hoc actuarial analysis

Operational Support for Risk Management

  • Analyze, interpret, and present numerical data related to pricing, reserves, and other actuarial analysis
  • Ensure proper documentation and controls of all work and models, including pricing assumptions, processes, methodology, and results
  • Knowledge of pricing, valuation and/or financial reporting standards, systems, and processes
  • Analyze data and present analysis in a format appropriate for pricing, loss reserving, product development, reinsurance, and other financial analysis
  • Perform periodic risk and sensitivity analyses
  • Perform industry research to establish actuarial assumptions and methodologies used in pricing, reserving, or forecasting models

Pricing and Product Development

  • Perform pricing and profitability analysis for a wide variety of actuarial solutions
  • Support the design and pricing of new products and/or coverages
  • Understand technical pricing, product development analytics and performance measurement
  • Perform pricing and profitability analysis of all products, including analysis of results, reconciliation and attribution of changes, communication of results to management, and detailed documentation
  • Adapt pricing methodologies and models for innovative new products and benefits
  • Be responsible for technical pricing, product development analytics and performance measurement

Valuation and Financial Analysis

  • Provide mathematical and technical support in the management of actuarial products
  • Calculate, analyze, report, and explain reserves and other actuarial financial statement items
  • Assist in preparing the actuarial portion of financial statements following GAAP, statutory or tax reporting principles, or the applicable international principles
  • Provide valuation support by interpreting financial results and variances from forecast to help identify emerging trends to assist in risk management of the financial security system
  • Plan, develop, and evaluate financial security system pricing, valuation, reserving and/or financial reporting actuarial needs
  • Support the timely reporting of reserves and other actuarial input into the monthly, quarterly, and annual financial reporting process

Business Skills for Actuaries

  • Effectively interact with other professionals
  • Bridge analytics and business decision making
  • Work as a team member, while contributing technical and actuarial content
  • Collaborate across actuarial and non-actuarial teams
  • Understand the drivers of profit and loss
  • Sort through a business problem and determine the issues that must be addressed

Generating Business Insights

  • Explain model results
  • Understand and communicate variations in predicted outcomes
  • Respond to actuarial questions and requests
  • Provide actuarial support to key stakeholders including management, board, internal auditors, external auditors, etc.
  • Deliver simple, summary level, financial models that effectively communicate business issues and risks
  • Apply actuarial techniques to analyze, interpret and classify risks and communicate results to more senior actuaries

Influencing Informed Decision Making

  • Communicate actuarial results to managers and leadership
  • Communicate technical information to an audience in a way that they understand the information
  • Communicate technical information to an audience in a way that they understand the information
  • Communicate complex financial models to management in a way that enables them to understand risks and opportunities
  • Effectively communicate information to various audience levels and recognize the level of the audience in each situation
  • Condense complex actuarial calculations and risk analyses and present them to others so that they understand the relevance
  • Understand Tableau language to prepare data visualizations that enhance the presentation of results

Professionalism and Business Ethics and Diversity

  • Demonstrate being morally sensitive to ethical dilemmas in business and identify ethical issues in actuarial work
  • Keep abreast of the Actuarial Code of Conduct and the Actuarial Standards of Practice
  • Meet actuarial qualification standards to issue Statements of Actuarial Opinions
  • Understand how a Diversity, Equity, and Inclusive culture creates a culture of belonging
  • Understand and mitigate biases that may exist in data, assumptions, and models that impact actuarial services