The delivery of healthcare is increasingly complex — with ongoing changes to regulatory requirements, reimbursement methodologies, technology expansion and the exponential growth of data generated from a myriad of sources including devices, both provider and consumer driven.

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To understand and interpret the data, one must understand "the language of"  medicine – the delivery of healthcare throughout the continuum of health – and, reimbursement for these services provided by physicians, healthcare professionals, and organizations.

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The expertise and value I bring to clinical data analysis is with a focus on these core principles: ​

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• Understand and convey the importance that data analysis provides using clinical and claims data. For example: using claims data from several providers can provide a clinical understanding of the individual patient’s medical condition that would otherwise require a manual review of multiple records or systems.

• Analyze data noting — data outcomes can affect populations beyond the local level to the national and international level of healthcare. One instance with international  impact >> individuals traveling internationally demonstrating 'similar symptoms' validates further research of the individuals and the environment. 

• Respect that each person working in healthcare is a valuable resource and should be accurately and timely reimbursed.

 

Interpreting and connecting healthcare workers through Data:

• Understand and communicate the language of medicine distinct to healthcare.

• Registered Nurse with experience in acute care inpatient and the business of healthcare: Information Technology, Governance of Information, relationship of Informatics to data, and scope of Managed Care including Social Impact to an individual's health status.

• Understand life cycle of healthcare ... from legacy systems to future trends >> value of artificial intelligence to codify, collect and analyze medical conditions.