06241nam 2201501 450 991082600530332120230914103222.01-4008-5038-X10.1515/9781400850389(CKB)2670000000543841(EBL)1580445(OCoLC)874562947(SSID)ssj0001136156(PQKBManifestationID)12531197(PQKBTitleCode)TC0001136156(PQKBWorkID)11104213(PQKB)10793200(MiAaPQ)EBC1580445(StDuBDS)EDZ0001755593(MdBmJHUP)muse43199(DE-B1597)453987(OCoLC)979755453(DE-B1597)9781400850389(Au-PeEL)EBL1580445(CaPaEBR)ebr10850254(CaONFJC)MIL584125(EXLCZ)99267000000054384120140405h20142014 uy 0engurnn#---|u||utxtccrMore than you wanted to know the failure of mandated disclosure /Omri Ben-Shahar, Carl E. SchneiderCourse BookPrinceton, New Jersey :Princeton University Press,2014.©20141 online resource (244 p.)Includes index.0-691-17088-6 0-691-16170-4 Includes bibliographical references (pages 197-223) and index.Front matter --Contents --Preface --Part I. The Ubiquity of Mandated Disclosure --1. Introduction --2. Complex Decisions, Complex Disclosures --3. The Failure of Mandated Disclosure --Part II. Why Disclosures Fail --4. "Whatever": The Psychology of Mandated Disclosure --5. Reading Disclosures --6. The Quantity Question --7. From Disclosure to Decision --Part III. Can Mandated Disclosure Be Saved? --8. Make It Simple? --9. The Politics of Disclosure --10. Producing Disclosures --11. At Worst, Harmless? --12. Conclusion: Beyond Disclosurism --Notes --IndexPerhaps no kind of regulation is more common or less useful than mandated disclosure-requiring one party to a transaction to give the other information. It is the iTunes terms you assent to, the doctor's consent form you sign, the pile of papers you get with your mortgage. Reading the terms, the form, and the papers is supposed to equip you to choose your purchase, your treatment, and your loan well. More Than You Wanted to Know surveys the evidence and finds that mandated disclosure rarely works. But how could it? Who reads these disclosures? Who understands them? Who uses them to make better choices? Omri Ben-Shahar and Carl Schneider put the regulatory problem in human terms. Most people find disclosures complex, obscure, and dull. Most people make choices by stripping information away, not layering it on. Most people find they can safely ignore most disclosures and that they lack the literacy to analyze them anyway. And so many disclosures are mandated that nobody could heed them all. Nor can all this be changed by simpler forms in plainer English, since complex things cannot be made simple by better writing. Furthermore, disclosure is a lawmakers' panacea, so they keep issuing new mandates and expanding old ones, often instead of taking on the hard work of writing regulations with bite. Timely and provocative, More Than You Wanted to Know takes on the form of regulation we encounter daily and asks why we must encounter it at all.Disclosure of informationLaw and legislationUnited StatesConsumer protectionLaw and legislationUnited StatesDecision makingUnited StatesMiranda.accumulation problem.agents.aggregators.autonomy.behavioral economics.complexity.conflict of interest.consultants.consumer law.consumers.contracts.decision aversion.decisions.defaults.disclosers.disclosurism.disclosurite psychology.disclosurites.discretion.doctors.empirical studies.false assumptions.financial disclosure.financial literacy.fine print.free market.health literacy.iTunes.illiteracy.inequality.information disclosure.information.informed consent.informed decisions.innumeracy.insurance.intermediaries.laboratory experiments.lawmakers.lawmaking.lenders.mandated disclosure.markets.medical treatment.mortgages.numeracy.opt out.overload problem.overload.police.politics.privacy.prostate cancer.quantity question.rationality.readers.reading levels.reasoning.regulation.regulators.regulatory method.rules.sector literacy.simplification.social practice.social psychology.Disclosure of informationLaw and legislationConsumer protectionLaw and legislationDecision making346.7302/1PU 5330rvkBen-Shahar Omri1679709Schneider Carl E.1948-MiAaPQMiAaPQMiAaPQBOOK9910826005303321More than you wanted to know4048152UNINA04257nam 2201093z- 450 991057688510332120220621(CKB)5720000000008323(oapen)https://directory.doabooks.org/handle/20.500.12854/84486(oapen)doab84486(EXLCZ)99572000000000832320202206d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierData Science in HealthcareBaselMDPI - Multidisciplinary Digital Publishing Institute20221 online resource (212 p.)3-0365-3983-2 3-0365-3984-0 Data science is an interdisciplinary field that applies numerous techniques, such as machine learning, neural networks, and deep learning, to create value based on extracting knowledge and insights from available data. Advances in data science have a significant impact on healthcare. While advances in the sharing of medical information result in better and earlier diagnoses as well as more patient-tailored treatments, information management is also affected by trends such as increased patient centricity (with shared decision making), self-care (e.g., using wearables), and integrated care delivery. The delivery of health services is being revolutionized through the sharing and integration of health data across organizational boundaries. Via data science, researchers can deliver new approaches to merge, analyze, and process complex data and gain more actionable insights, understanding, and knowledge at the individual and population levels. This Special Issue focuses on how data science is used in healthcare (e.g., through predictive modeling) and on related topics, such as data sharing and data management.Medicine and NursingbicsscPharmacologybicsscapache sparkArabic languagearteriovenous fistulaartificial intelligencebig databreast cancer diagnosiscase fatality ratechronic kidney disease (CKD)computed tomographycoronavirusCOVID-19cross-validationdata exploratory techniquesdata managementdata sciencedata sharingdepressiondialysisdigital technologydistributed computingearly-warning modelend stage kidney diseaseend-stage kidney disease (ESKD)genetic algorithmhand-foot-and-mouth diseasehealthcarekidney failurekidney replacement therapy (KRT)machine learningmachine learning modelsmental healthmetabolic syndromemetabolically healthy obese phenotypen/anaïve Bayes classifiersneural networknon-specialist health workerobesityoutbreak predictionpilot studypneumoniaprecision medicineprimary carepsychological treatmentrisk predictionSARS-CoV-2sentinel surveillance systemsmart citiessmart governancesmart healthcaresmokingsocial distancingsocial mediatask sharingthoracic paintrainingtree classificationTriple Bottom Line (TBL)tumors classificationTwittervascular access surveillanceMedicine and NursingPharmacologyHulsen Timedt1302275Hulsen TimothBOOK9910576885103321Data Science in Healthcare3026328UNINA