Find & Apply For Clinical Data Systems Specialist Jobs In Guilford, North Carolina
Clinical Data Systems Specialist jobs in Guilford, North Carolina involve managing, analyzing, and ensuring the quality of healthcare data. Responsibilities include data entry, troubleshooting system issues, and collaborating with healthcare professionals. Required qualifications typically include a degree in health informatics or a related field, as well as experience with electronic health records systems. Below you can find different Clinical Data Systems Specialist positions in Guilford, North Carolina.
Jobs in Guilford
Browse jobs from a variety of sources below, sorted with the most recently published, nearest to the top. Click the title to view more information and apply online.
Latest Jobs in Guilford
Salary Information & Job Trends In this Region
Clinical Data Systems Specialists in Guilford, North Carolina play a crucial role in managing and analyzing healthcare data to improve patient care and organizational efficiency. - Entry-level Clinical Data Systems Specialist salaries range from $45,000 to $55,000 per year - Mid-career Healthcare Data Analyst salaries range from $60,000 to $75,000 per year - Senior-level Clinical Informatics Manager salaries range from $80,000 to $100,000 per year The history of Clinical Data Systems Specialists in Guilford, North Carolina dates back to the early adoption of electronic health records in healthcare facilities. As technology advanced, the need for skilled professionals to manage and analyze large volumes of data became increasingly important. The evolution of Clinical Data Systems Specialists in Guilford, North Carolina has seen a shift towards more sophisticated data management systems and increased integration with other healthcare technologies. Specialists now play a key role in decision-making processes and quality improvement initiatives within healthcare organizations. Current trends in Clinical Data Systems Specialists in Guilford, North Carolina include a focus on data security and privacy, the implementation of artificial intelligence and machine learning in data analysis, and the use of data visualization tools to communicate insights to stakeholders. Additionally, there is a growing emphasis on interoperability and data exchange between different healthcare systems to improve coordination of care.
