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Topics, methods and techniques were summarized along with strengths and weaknesses. A panel of subject matter experts was interviewed to validate the intermediate results and synthesize the key problems that would likely impact researchers conducting quantitative big data analysis in healthcare studies. The systems thinking action research method was applied to identify and describe the hidden issues. The findings were similar to the extant literature but three hidden fatal issues were detected. Methodical and statistical control solutions were proposed to overcome the three fatal healthcare big data analysis issues. <\/jats:p>","DOI":"10.1177\/1460458219854603","type":"journal-article","created":{"date-parts":[[2019,7,2]],"date-time":"2019-07-02T09:47:19Z","timestamp":1562060839000},"page":"981-998","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":31,"title":["Hidden big data analytics issues in the healthcare industry"],"prefix":"10.1177","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4333-4399","authenticated-orcid":false,"given":"Kenneth David","family":"Strang","sequence":"first","affiliation":[{"name":"State University of New York at Plattsburgh, USA"}]},{"given":"Zhaohao","family":"Sun","sequence":"additional","affiliation":[{"name":"PNG University of Technology, Papua New 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