The intellectual impulsiveness of man to understand the unknown and the continual need of the society to improve healthcare have encouraged extensive investigation on numerous and diverse cause-and-effect relationships. The nature of this endeavor, however, renders the inability of investigator at all levels to escape beyond the narrow conceptual boundary described by an early French philosopher as the vicious cycle. To enjoy the theoretically plausible benefits of refined labor division, data-driven healthcare management, and real-time evidence-based practices, it must first be acknowledged that co-occurrence is better than cause-and-effect in explaining how an observation takes place at a particular time. This paper details a co-occurrence framework, and discusses its implications for the global healthcare system.
| Identifer | oai:union.ndltd.org:bu.edu/oai:open.bu.edu:2144/16817 |
| Date | 18 June 2016 |
| Creators | Hsu, Michael Chih-Yuan |
| Source Sets | Boston University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis/Dissertation |
| Rights | Attribution 4.0 International, http://creativecommons.org/licenses/by/4.0/ |
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