Patient safety continues to be a primary focus in risk management. Those interested in advancing their careers also might look to data science and finance.
- Enterprise risk management should be part of your career plan.
- The popularity of captive insurance companies puts a premium on finance knowledge.
- Data science is increasingly central to understanding risk.
…Risk managers wanting more expertise in data science should look to gaining a foundation in several areas, says Craig Johnson, founder and chief science officer at Decision Point Healthcare Solutions, a data and technology company based in Boston. He recommends the following four areas:
- Clinical or business subject matter expertise: a working knowledge of the stakeholders, business processes, data collected and used by those processes, and how information is shared within and across those processes.
- Feature and data engineering: ability to identify and design key clinical/business data features, characterize the relationships between those features, and how to best represent those features in data.
- Programming: ability to program in a functional programming language like python, analytic tools like R, and database languages like SQL.
- Technical methods: understanding of the conceptual methods and application of those methods in solving clinical/business problems. Technically oriented pathways will dive deeper in to algorithm programming and development.