PATIENT DATA MINING FOR QUALITY ADHERENCE
The present invention provides systems and methods for automatically ensurin g adherence to clinical guidelines during the course of patient treatments. A data source (202)contains patient records, including records for patients being treated; a guidelines knowledge base (204) contains clinical guid...
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| creator | WARRICK, THOMAS SANDILYA, SATHYAKAMA SCHERPBIER, HARM J RAO, R. BHARAT |
| description | The present invention provides systems and methods for automatically ensurin g adherence to clinical guidelines during the course of patient treatments. A data source (202)contains patient records, including records for patients being treated; a guidelines knowledge base (204) contains clinical guideline s; and a quality adherence engine (206) is configured to monitor adherence with the clinical guidelines for patients being treated. At least some of the patient records may include information obtained from mining unstructured patient data. The system includes an output component (208) for outputting quality adherence information. The outputted quality adherence information m ay include reminders, including reminders to take clinical actions in accordanc e with the clinical guidelines. The outputted quality adherence information ma y also include warnings that the clinical guidelines have not been observed. |
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BHARAT</creatorcontrib><description>The present invention provides systems and methods for automatically ensurin g adherence to clinical guidelines during the course of patient treatments. A data source (202)contains patient records, including records for patients being treated; a guidelines knowledge base (204) contains clinical guideline s; and a quality adherence engine (206) is configured to monitor adherence with the clinical guidelines for patients being treated. At least some of the patient records may include information obtained from mining unstructured patient data. The system includes an output component (208) for outputting quality adherence information. The outputted quality adherence information m ay include reminders, including reminders to take clinical actions in accordanc e with the clinical guidelines. The outputted quality adherence information ma y also include warnings that the clinical guidelines have not been observed.</ SDOAB></description><edition>7</edition><language>eng ; fre</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; DIAGNOSIS ; ELECTRIC DIGITAL DATA PROCESSING ; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA ; HUMAN NECESSITIES ; HYGIENE ; IDENTIFICATION ; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS ; MEDICAL OR VETERINARY SCIENCE ; PHYSICS ; SURGERY ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2003</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20030515&DB=EPODOC&CC=CA&NR=2465760A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,778,883,25551,76302</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20030515&DB=EPODOC&CC=CA&NR=2465760A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>WARRICK, THOMAS</creatorcontrib><creatorcontrib>SANDILYA, SATHYAKAMA</creatorcontrib><creatorcontrib>SCHERPBIER, HARM J</creatorcontrib><creatorcontrib>RAO, R. BHARAT</creatorcontrib><title>PATIENT DATA MINING FOR QUALITY ADHERENCE</title><description>The present invention provides systems and methods for automatically ensurin g adherence to clinical guidelines during the course of patient treatments. A data source (202)contains patient records, including records for patients being treated; a guidelines knowledge base (204) contains clinical guideline s; and a quality adherence engine (206) is configured to monitor adherence with the clinical guidelines for patients being treated. At least some of the patient records may include information obtained from mining unstructured patient data. The system includes an output component (208) for outputting quality adherence information. The outputted quality adherence information m ay include reminders, including reminders to take clinical actions in accordanc e with the clinical guidelines. The outputted quality adherence information ma y also include warnings that the clinical guidelines have not been observed.</ SDOAB></description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>DIAGNOSIS</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</subject><subject>HUMAN NECESSITIES</subject><subject>HYGIENE</subject><subject>IDENTIFICATION</subject><subject>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</subject><subject>MEDICAL OR VETERINARY SCIENCE</subject><subject>PHYSICS</subject><subject>SURGERY</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2003</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZNAMcAzxdPULUXBxDHFU8PX08_RzV3DzD1IIDHX08QyJVHB08XANcvVzduVhYE1LzClO5YXS3AwKbq4hzh66qQX58anFBYnJqXmpJfHOjkYmZqbmZgaOhsZEKAEA0gUjsg</recordid><startdate>20030515</startdate><enddate>20030515</enddate><creator>WARRICK, THOMAS</creator><creator>SANDILYA, SATHYAKAMA</creator><creator>SCHERPBIER, HARM J</creator><creator>RAO, R. 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BHARAT</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>WARRICK, THOMAS</au><au>SANDILYA, SATHYAKAMA</au><au>SCHERPBIER, HARM J</au><au>RAO, R. BHARAT</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>PATIENT DATA MINING FOR QUALITY ADHERENCE</title><date>2003-05-15</date><risdate>2003</risdate><abstract>The present invention provides systems and methods for automatically ensurin g adherence to clinical guidelines during the course of patient treatments. A data source (202)contains patient records, including records for patients being treated; a guidelines knowledge base (204) contains clinical guideline s; and a quality adherence engine (206) is configured to monitor adherence with the clinical guidelines for patients being treated. At least some of the patient records may include information obtained from mining unstructured patient data. The system includes an output component (208) for outputting quality adherence information. The outputted quality adherence information m ay include reminders, including reminders to take clinical actions in accordanc e with the clinical guidelines. The outputted quality adherence information ma y also include warnings that the clinical guidelines have not been observed.</ SDOAB></abstract><edition>7</edition><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES DIAGNOSIS ELECTRIC DIGITAL DATA PROCESSING HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA HUMAN NECESSITIES HYGIENE IDENTIFICATION INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS MEDICAL OR VETERINARY SCIENCE PHYSICS SURGERY SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | PATIENT DATA MINING FOR QUALITY ADHERENCE |
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