Encryption and the Loss of Patient Data
Bibliographic Data
| ID | 11680868 |
|---|---|
| Authors | Anna R Miller (0000-0003-0094-5226, University of Virginia, corresponding author), Catherine E Tucker (0000-0002-1847-4832) |
| Year | 2011 |
| Volume | 30 |
| Issue | 3 |
| Pages | 534-556 |
| Publication date | 2011-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Policy Analysis and Management (JOURNAL) |
| Journal identifiers | ISSN: 0276-8739 • E-ISSN: 1520-6688 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/pam.20590 |
| PMID | 21774164 |
| OpenAlex | W1512769858 |
| Language | EN |
| Citations received | 3 |
| References cited | 16 |
Fast‐paced IT advances have made it increasingly possible and useful for firms to collect data on their customers on an unprecedented scale. One downside of this is that firms can experience negative publicity and financial damage if their data are breached. This is particularly the case in the medical sector, where we find empirical evidence that increased digitization of patient data is associated with more data breaches. The encryption of customer data is often presented as a potential solution, because encryption acts as a disincentive for potential malicious hackers, and can minimize the risk of breached data being put to malicious use. However, encryption both requires careful data management policies to be successful and does not ward off the insider threat. Indeed, we find no empirical evidence of a decrease in publicized instances of data loss associated with the use of encryption. Instead, there are actually increases in the cases of publicized data loss due to internal fraud or loss of computer equipment. © 2011 by the Association for Public Policy Analysis and Management
Business · Computer security · Data breach · Data loss · Database · Encryption · Hacker · Insider · Internet privacy · Political science · Computer Science · Cybercrime and Law Enforcement Studies · Information and Cyber Security · Law · Spam and Phishing Detection
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| Unique citing works | 3 |
|---|---|
| Citations per year | 0,21 |
| Citation span | 2012 - 2025 (14) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |