scholarly journals Patient Centric Meta-Search Engine for Quality of Care Services

2019 ◽  
Vol 7 (6) ◽  
pp. 1200-1208
Author(s):  
Sagar A. Raut
Keyword(s):  
Quality Of Care ◽  
Search Engine ◽  
Care Services ◽  
Meta Search Engine ◽  
Meta Search ◽  
Patient Centric

scholarly journals A Review on Patient Centric Meta-Search Engine for Quality of Care Services

2019 ◽  
Vol 182 (47) ◽  
pp. 34-37
Author(s):  
Sagar A. ◽  
Sandeep B. ◽  
Deepak D. ◽  
Gaurav S. ◽  
Syed Ahmed
Keyword(s):  
Quality Of Care ◽  
Search Engine ◽  
Care Services ◽  
Meta Search Engine ◽  
Meta Search ◽  
Patient Centric

scholarly journals Meta search engine

2021 ◽  
Author(s):  
Kwok-Pun Chan
Keyword(s):  
Foreign Language ◽  
Search Engine ◽  
Waiting Time ◽  
Search Engines ◽  
Time Frame ◽  
Search Result ◽  
Meta Search Engine ◽  
Meta Search ◽  
Biased Information

Meta search engines allow multiple engine searches to minimize biased information and improve the quality of the results it generates. However, existing meta engine applications contain many foreign language results, and only run on Windows platform. The meta search engine we develop will resolve these problems. Our search engine will run on both Windows and Linus platforms, and has some desirable properties: 1) users can shorten the search waiting time if one of the search engines is down 2) users can sort the result titles in an alphabetic or relevancy order. Current meta search websites only allow users to sort results by relevancy. Our search engine allows users to do an alphabetical search from the previous relevancy search result, so that the users can identify the required title within a shorter time frame.

Towards Improving Meta-Search through Exploiting an Integrated Search Model

2011 ◽  
Vol 10 (04) ◽  
pp. 379-391
Author(s):  
Mohammed Maree ◽  
Saadat M. Alhashmi ◽  
Mohammed Belkhatir
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
General Purpose ◽  
Search Model ◽  
Domain Specific ◽  
Meta Search Engine ◽  
Meta Search ◽  
Results Merging ◽  
Multiple Domain

Meta-search engines are created to reduce the burden on the user by dispatching queries to multiple search engines in parallel. Decisions on how to rank the returned results are made based on the query's keywords. Although keyword-based search model produces good results, better results can be obtained by integrating semantic and statistical based relatedness measures into this model. Such integration allows the meta-search engine to search by meanings rather than only by literal strings. In this article, we present Multi-Search+, the next generation of Multi-Search general-purpose meta-search engine. The extended version of the system employs additional knowledge represented by multiple domain-specific ontologies to enhance both the query processing and the returned results merging. In addition, new general-purpose search engines are plugged-in to its architecture. Experimental results demonstrate that our integrated search model obtained significant improvement in the quality of the produced search results.

scholarly journals Meta search engine

2021 ◽  
Author(s):  
Kwok-Pun Chan
Keyword(s):  
Foreign Language ◽  
Search Engine ◽  
Waiting Time ◽  
Search Engines ◽  
Time Frame ◽  
Search Result ◽  
Meta Search Engine ◽  
Meta Search ◽  
Biased Information

Meta search engines allow multiple engine searches to minimize biased information and improve the quality of the results it generates. However, existing meta engine applications contain many foreign language results, and only run on Windows platform. The meta search engine we develop will resolve these problems. Our search engine will run on both Windows and Linus platforms, and has some desirable properties: 1) users can shorten the search waiting time if one of the search engines is down 2) users can sort the result titles in an alphabetic or relevancy order. Current meta search websites only allow users to sort results by relevancy. Our search engine allows users to do an alphabetical search from the previous relevancy search result, so that the users can identify the required title within a shorter time frame.

Improving Takuan to Analyze a Meta-Search Engine WS-BPEL Composition

2008 ◽  
Author(s):  
Manuel Palomo-Duarte ◽  
Antonio García-Domínguez ◽  
Inmaculada Medina-Bulo
Keyword(s):  
Search Engine ◽  
Meta Search Engine ◽  
Meta Search

Using Employer Purchasing Power to Improve the Quality of Perinatal Care

PEDIATRICS ◽  
1999 ◽  
Vol 103 (Supplement_E1) ◽  
pp. 248-254 ◽  
Author(s):  
Anne G. Castles ◽  
Arnold Milstein ◽  
Cheryl L. Damberg
Keyword(s):  
Health Care ◽  
Quality Of Care ◽  
Health Care Services ◽  
Health Care Organizations ◽  
Perinatal Care ◽  
Quality Measurement ◽  
Quality Data ◽  
Purchasing Power ◽  
Care Services

Large employers have become increasingly involved in helping to set the agenda for quality measurement and improvement. Moreover, they are beginning to hold health care organizations accountable for their performance through marketplace incentives, including the public reporting of comparative quality data and the linkage of reimbursement to performance on quality measures. The Pacific Business Group on Health (PBGH) is an employer coalition that has been prominent in establishing models for collaborative quality measurement and improvement in the California marketplace. PBGH's involvement in quality stems from an environment in which purchasers were faced with high health care costs, yet virtually no information with which to assess the value their employees received from that care. Research indicating widespread variation in performance across health care organizations and seemingly limited oversight for quality of care within the industry has further motivated purchasers' efforts to better understand the quality of care being delivered to their em-ployees. Using the purchasing power of employers representing 2.5-million covered lives, PBGH endeavors to encourage the transition of the health care marketplace from one that competes solely on price to one that competes on price and quality. This entails collaborating with the health care industry to develop and publicly report valid performance data for use by both large employers and consumers of health care services. It also includes communicating to the marketplace purchasers' commitment to making purchasing decisions based on quality as well as cost. PBGH efforts to measure, report, and improve quality have been demonstrated by several undertakings in the perinatal care arena, including research to assess cesarean section rates and newborn readmission rates across California hospitals. employer coalition, purchaser, quality measurement, quality improvement, report cards, perinatal quality of care.

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