Portable Insurance Quotes

We've searched our database for all the quotes and captions related to Portable Insurance. Here they are! All 8 of them:

As every economist knows, third-party transactions are always more expensive, whether the third party is an insurer or the government...Third-party transactions are always inflationary. So let's return as much of daily life as possible to a two-party system--buyer and seller. You'll be amazed how affordable it is. Compare cellphone and laptop and portable music systems prices with what they were in the Eighties, and then ask yourself how it would have turned out with a government-regulated system of electronic insurance plans.
Mark Steyn (After America: Get Ready for Armageddon)
At regular intervals they checked in with their parents, fawning. I heard the kid with the neck bandanna compliment his mother on a nasty purple-and-orange sarong. The parents were their insurance policy, James said. Diplomatic relations had to be maintained. “But I mean, even if you acted like jerks, they wouldn’t, like, abandon you,” said Jen, on night two. The yacht parents had appeared in the late morning, sat drinking in a state of soft paralysis—not unlike our own parents’—until the sun went down, then left again to have a nightcap on the deck. A three-person galley staff had served them lunch and dinner on the beach, plus mixed drinks from a portable bar.
Lydia Millet (A Children's Bible)
Wellness programs offer important benefits, but these data policies underscore the less visible and more dangerous privacy risks they pose.82 Most are exempt from traditional health data privacy regulations. The Health Insurance Portability and Accountability Act of 1996 (known as HIPAA), for example, protects individuals’ identifiable health information in the United States. But it doesn’t apply when employers offer workplace wellness programs directly rather than in connection with their group health plans. Without laws preventing them from using the data collected through wellness programs, employers can mine the data they collect, which many do with abandon.83 Employers learn everything that employees share in the questionnaires and online surveys they complete as part of these programs, from what prescription drugs they use to whether they voted and when they stopped filling their birth control prescriptions.84 And employers are using that data in increasingly more intrusive ways.
Nita A. Farahany (The Battle for Your Brain: Defending the Right to Think Freely in the Age of Neurotechnology)
During an interview with Diversity Inc.’s director of research and product development, she walked me through a typical presentation used to pitch the value of the company’s software to prospective clients. I learned that their products are especially valuable to those industries not allowed to collect ethno-racial data directly from individuals because of civil rights legislation that attempts to curb how these data are used to discriminate. But now those who work in finance, housing, and healthcare can use predictive software programs to ascertain information that they cannot request directly. The US Health Insurance Portability and Accountability Act (HIPAA) privacy rule, for example, strictly monitors the collection, storage, and communication of individuals’ “protected health information,” among other features of the law. This means that pharmaceutical companies, which market to different groups, need indirect methods to create customer profiles, because they cannot collect racial-ethnic data directly. This is where Diversity Inc. comes in. Its software programs target customers not only on the basis of race and ethnicity, but also on the basis of socioeconomic status, gender, and a growing list of other attributes. However, the company does not refer to “race” anywhere in their product descriptions. Everything is based on individuals’ names, we are told. “A person’s name is data,” according to the director of research and product development. She explains that her clients typically supply Diversity Inc. with a database of client names and her team builds knowledge around it. The process, she says, has a 96 percent accuracy rate, because so many last names are not shared across racial–ethnic groups – a phenomenon sociologists call “cultural segregation.”18
Ruha Benjamin (Race After Technology: Abolitionist Tools for the New Jim Code)
Inwardly their spirit was utterly commercial, everything was seen by them in terms of money. It was their barrier, their defence, their hope for the future, their support for the present, it raised them above their fellowmen, and with it they warded off evil. The only mental qualities that they respected were those which produced money in substantial quantities, it was their one criterion of success, it was power and it was glory. To say that a man was poor was to label him a rotter, bad at his job, idle, feckless, immoral. If it was somebody whom they really rather liked, in spite of this cancer, they could add that he had been unlucky. They had taken care to insure against this deadly evil in many ways. That it should not overwhelm them through such cataclysms beyond their control as war or revolution they had placed huge sums of money in a dozen different countries; they owned ranches, and estancias, and South African farms, an hotel in Switzerland, a plantation in Malaya, and they possessed many fine diamonds, not sparkling round Linda’s lovely neck to be sure, but lying in banks, stone by stone, easily portable.
Nancy Mitford (The Pursuit of Love)
records in any form I request under the Health Insurance Portability and Accountability Act within thirty days and for a reasonable handling and processing fee. If this material is not quickly forthcoming, I will file a complaint with the federal Health and Human Services’ Office for Civil Rights, which prosecutes HIPPA violations. Sincerely, 3. TO CHALLENGE OUTRAGEOUS CHARGES/BILLING ERRORS Dear Sirs or Madam: I’m writing to protest what I regard as excessive charges for my operation/hospitalization/procedure at your medical facility. The operation/hospitalization/procedure was billed to my insurer/me at $__________,__________. This total included several itemized charges that were well above norms for our nation and our region, such as a $__________,__________ charge for __________ and a $__________,__________ charge for __________. The Healthcare Bluebook says a “fair price” is $__________,__________ and $__________,__________. Likewise, my bill includes entries for treatments I simply did not receive, such as $__________ for __________ and $__________ for __________. Before sending in any payment, I’m requesting that your billing and coding department review my chart to revise the charges, or explain to me the size and the nature of such entries. I have been a loyal customer of your hospital for many years and have been happy with my excellent medical care. But if these billing issues are not resolved, I feel compelled to report them to the state attorney general/consumer protection agency, to investigate fraudulent or abusive billing practices. Sincerely,
Elisabeth Rosenthal (An American Sickness: How Healthcare Became Big Business and How You Can Take It Back)
Fiscal Numbers (the latter uniquely identifies a particular hospitalization for patients who might have been admitted multiple times), which allowed us to merge information from many different hospital sources. The data were finally organized into a comprehensive relational database. More information on database merger, in particular, how database integrity was ensured, is available at the MIMIC-II web site [1]. The database user guide is also online [2]. An additional task was to convert the patient waveform data from Philips’ proprietary format into an open-source format. With assistance from the medical equipment vendor, the waveforms, trends, and alarms were translated into WFDB, an open data format that is used for publicly available databases on the National Institutes of Health-sponsored PhysioNet web site [3]. All data that were integrated into the MIMIC-II database were de-identified in compliance with Health Insurance Portability and Accountability Act standards to facilitate public access to MIMIC-II. Deletion of protected health information from structured data sources was straightforward (e.g., database fields that provide the patient name, date of birth, etc.). We also removed protected health information from the discharge summaries, diagnostic reports, and the approximately 700,000 free-text nursing and respiratory notes in MIMIC-II using an automated algorithm that has been shown to have superior performance in comparison to clinicians in detecting protected health information [4]. This algorithm accommodates the broad spectrum of writing styles in our data set, including personal variations in syntax, abbreviations, and spelling. We have posted the algorithm in open-source form as a general tool to be used by others for de-identification of free-text notes [5].
Mit Critical Data (Secondary Analysis of Electronic Health Records)
HIPAA is probably the most ironic acronym in healthcare. It stands for the Health Insurance Portability and Accountability Act. Although HIPAA has succeeded largely in making health information more “accountable,” it is usually the first excuse for not making it portable.
Fred Trotter (Hacking Healthcare: A Guide to Standards, Workflows, and Meaningful Use)