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  2. Health care analytics - Wikipedia

    en.wikipedia.org/wiki/Health_care_analytics

    Health care analytics is the health care analysis activities that can be undertaken as a result of data collected from four areas within healthcare: (1) claims and cost data, (2) pharmaceutical and research and development (R&D) data, (3) clinical data (such as collected from electronic medical records (EHRs)), and (4) patient behaviors and preferences data (e.g. patient satisfaction or retail ...

  3. Medical laboratory scientist - Wikipedia

    en.wikipedia.org/wiki/Medical_laboratory_scientist

    A Medical Laboratory Scientist (MLS) or Clinical Laboratory Scientist (CLS) or Medical Technologist (MT) is a licensed Healthcare professional who performs diagnostic testing of body fluids, blood and other body tissue. The Medical Technologist is tasked with releasing the patient results to aid in further treatment.

  4. Job Descriptions Decoded: Healthcare Analytics Analyst ... - AOL

    www.aol.com/news/2014-05-21-job-descriptions...

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  5. Clinical coder - Wikipedia

    en.wikipedia.org/wiki/Clinical_coder

    Some form of on-the-job training is also usually provided in the first months on the job until the coder can earn an intermediate or advanced level of certification and accumulate time on the job. For further academic training, a baccalaureate or master's degree in medical information technology, or a related field, can be earned by those who ...

  6. Biomedical scientist - Wikipedia

    en.wikipedia.org/wiki/Biomedical_Scientist

    A biomedical scientist is a scientist trained in biology, particularly in the context of medical laboratory sciences or laboratory medicine.These scientists work to gain knowledge on the main principles of how the human body works and to find new ways to cure or treat disease by developing advanced diagnostic tools or new therapeutic strategies.

  7. Clinical data management - Wikipedia

    en.wikipedia.org/wiki/Clinical_data_management

    The data management plan describes the activities to be conducted in the course of processing data. Key topics to cover include the SOPs to be followed, the clinical data management system (CDMS) to be used, description of data sources, data handling processes, data transfer formats and process, and quality control procedure