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Results for “National Practitioner Data Bank”

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At least 253 records · Page 14Linked to original sources
PubMed1997

An international practitioner data bank as a quality tool.

While international tort costs have not reached the level of those in the United States, international medical employers, like their American counterparts, must be able to ascertain updated objective information regarding the physicians they are going to employ, in order to protect their patients and organizations from the increasing risks in today's medical environment. The NPDB set up in the United States by the United States Congress provides a structure that can record and set standards for professional reviews. While the data bank established in the United States can still be considered a new entity, and the exact impact it has on quality, peer review and risk management is still being judged, it is the first step towards an organized, objective governing body. We recommend that an international committee convene to study the American model of a data bank and decide how and which parameters could be used for setting international standards and norms to be recorded in an international data bank. This data bank would be an important addition to the increasing array of tools available to ensure quality care.

Credentialing↗
PubMed2001

Double-check data bank reporting.

Review this lawsuit that highlights the impact of malpractice data banks on health care. Test your knowledge with the following questions, then check your answers at http://www.nursingmanagement.com.

Facility Regulation and Control↗
PubMed2004

Health care fraud and abuse data collection program: technical revisions to healthcare integrity and protection data bank data collection activities. Interim final rule with comment period.

The rule makes technical changes to the Healthcare Integrity and Protection Data Bank (HIPDB) data collection reporting requirements set forth in 45 CFR part 61 by clarifying the types of personal numeric identifiers that may be reported to the data bank in connection with adverse actions. Specifically, the rule clarifies that in lieu of a Social Security Number (SSN), an individual taxpayer identification number (ITIN) may be reported to the data bank when, in those limited situations, an individual does not have an SSN.

Data Collection↗
PubMedDate not supplied

Physician credentialing. A centralized verification system.

The current system for credentialing physicians in the U.S. is staggeringly redundant, prone to error, and expensive. The process for establishing a recent graduate's practice can involve an average of five applications to have privileges at several hospitals and HMOs. A centralized verification system needs to be developed to streamline this process. The amount of information that would have to be stored for all physicians in the country would be immense. However, the technology currently exists to store such information on a much grander scale. Credit unions, banks, and insurance companies utilize such computer systems effectively and with reasonable confidentiality.

Costs and Cost Analysis↗
PubMed2000

Privacy Act; implementation. Office of Inspector General (OIG), HHS. Final rule.

This final rule exempts the new system of records, the Healthcare Integrity and Protection Data Bank (HIPDB), from certain provisions of the Privacy Act (5 U.S.C. 552a). The establishment of the HIPDB is required by section 1128E of the Social Security Act (the Act), as added by section 221(a) of the Health Insurance Portability and Accountability Act (HIPAA) of 1996. Section 1128E of the Act directed the Secretary to establish a national health care fraud and abuse data collection program for the reporting and disclosing of certain final adverse actions taken against health care providers, suppliers or practitioners, and to maintain a data base of final adverse actions taken against health care providers, suppliers and practitioners. Regulations implementing the new HIPDB were published in the Federal Register on October 26, 1999 (64 FR 57740). The exemption being set forth in this rule applies to investigative materials compiled for law enforcement purposes.

Data Collection↗
PubMed1998

Health Care Fraud and Abuse Data Collection Program: reporting of final adverse actions--extension of comment period--OIG, HHS. Notice of proposed rulemaking; extension of comment period.

On October 30, 1998, we published a notice of proposed rulemaking designed to set forth the policy and procedures for implementing the new Healthcare Integrity and Protection Data Banks (HIPDB), in accordance with the statutory requirements of section 1128E of the Social Security Act, as added by section 221(a) of the Health Insurance Portability and Accountability Act (HIPAA) of 1996 (63 FR 58341). We are extending the comment period at the request of several organizations.

Data Collection↗
PubMed2005

Graph kernels for chemical informatics.

Increased availability of large repositories of chemical compounds is creating new challenges and opportunities for the application of machine learning methods to problems in computational chemistry and chemical informatics. Because chemical compounds are often represented by the graph of their covalent bonds, machine learning methods in this domain must be capable of processing graphical structures with variable size. Here, we first briefly review the literature on graph kernels and then introduce three new kernels (Tanimoto, MinMax, Hybrid) based on the idea of molecular fingerprints and counting labeled paths of depth up to d using depth-first search from each possible vertex. The kernels are applied to three classification problems to predict mutagenicity, toxicity, and anti-cancer activity on three publicly available data sets. The kernels achieve performances at least comparable, and most often superior, to those previously reported in the literature reaching accuracies of 91.5% on the Mutag dataset, 65-67% on the PTC (Predictive Toxicology Challenge) dataset, and 72% on the NCI (National Cancer Institute) dataset. Properties and tradeoffs of these kernels, as well as other proposed kernels that leverage 1D or 3D representations of molecules, are briefly discussed.

Anticarcinogenic Agents↗