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, both provider and consumer driven – critical to your operations is Clinical Data Analysis.
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.
The expertise and value I bring to Clinical Data Analysis is with a focus on these core principles:
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Proficient in navigating and communicating the specialized language of medicine across clinical and non-clinical settings.
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Respect that each person working in healthcare is a valuable resource and should be heard, along with accurate and timely compensation.
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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.
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Understand the life cycle of healthcare ... from legacy systems to future trends >> value of artificial intelligence to codify, collect and analyze medical conditions.
Services offered through Te-Ar Healthcare consulting:
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Conduct detailed review of medical data from Structured and Unstructured cross-system healthcare sources with the goal of delivering accurate and timely solutions.
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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.
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Identify data errors with feedback to correct at the source.
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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.
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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.
❓You may be asking, “What is a Clinical Data Analyst”;
if so, read more here.