Peter Hussey | PubMed Health

PubMed2006

Computational Proteomics Analysis System (CPAS): an extensible, open-source analytic system for evaluating and publishing proteomic data and high throughput biological experiments.

The open-source Computational Proteomics Analysis System (CPAS) contains an entire data analysis and management pipeline for Liquid Chromatography Tandem Mass Spectrometry (LC-MS/MS) proteomics, including experiment annotation, protein database searching and sequence management, and mining LC-MS/MS peptide and protein identifications. CPAS architecture and features, such as a general experiment annotation component, installation software, and data security management, make it useful for collaborative projects across geographical locations and for proteomics laboratories without substantial computational support.

Computational Biology↗

PubMed2004

Pricing health services for purchasers--a review of methods and experiences.

This article reviews methodologies and international experience related to costing and pricing health services for health care purchasers. The main factors affecting price-setting methods are: (1) provider payment systems; (2) information available on actual costs, service volumes and outcomes; and (3) characteristics of providers and purchasers. These factors are strongly interrelated. Provider payment systems determine the unit of services to be priced. In order to minimize incentives for under- or over-utilization, the prices that purchasers pay for health care services should be related to the actual unit costs of services, but accurately calculating real unit costs is intensive in terms of resources and information. Pertinent provider characteristics influencing price-setting include provider autonomy, provider negotiating power, and the degree of competition. The article presents a series of examples that run through each of these three sets of factors. The examples are from Denmark, the UK, and Thailand (for capitation); Australia, Hungary, and the United States (for case-based payment); and Germany, Korea, and Taiwan (for fee-for-service payment mechanisms). From these experiences, the article concludes with appropriate lessons for low- and middle-income countries, where the principal constraint on the development of provider payments systems is the limited availability of information on costs, volumes, and patient characteristics.

Developed Countries↗