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Tag: Big Data

Edition 23 – Optimizing Big Data to Inform the Plausibility of Patient Debt

Figure 1. Relative percentage decrease for the respondents in the NFCS survey answering “Yes” to the question, “Do you currently have any unpaid bills from a health care or medical service provider (e.g., a hospital, a doctor’s office, or a testing lab) that are past due?” States adopting Medicaid expansion as of 2015 appear in blue & non-expansion states are in orange.

Optimizing Big Data to Inform the Plausibility of Patient Debt By Sebastián R. Díaz and Vikrant Bhatnagar Citation Díaz S and Bhatnagar V. Optimizing big data to inform the plausibility of patient debt. Harvard Public Health Review. 2019;23. DOI:10.54111/0001/W2 Optimizing Big Data to Inform the Plausibility of Patient Debt Abstract In 2014, states approving the expansion […]

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