Difference between revisions of "Isabel"
| Line 1: | Line 1: | ||
| − | Isabel is a Web-based clinical decision support system cutting edge technology from [http://www.autonomy.com Autonomy] an industry leader in Meaning Based Computing (MBC) coupled with proprietary Isabel algorithms to 'understand' vast amounts of medical knowledge. This enables the system to instantly provide the busy clinician with a safe checklist of likely diagnoses for a set of signs and symptoms entered in free text. The clinicians who 'Isabel' their patients at an early stage are able to offer a higher quality of care and reduce clinical risk by ensuring that important possible diagnoses have not been missed. | + | Isabel was founded in July 1999 by Jason Maude and Charlotte Maude together with Dr. Joseph Britto in honor the Maude's infant daughter Isabel Maude and all patients whose lives have been impacted by missed or delayed diagnosis. The founders of ISABEL wanted to create a system that would enable doctors to reduce the number of patients becoming seriously ill as a result of incorrect or delayed diagnosis. After two years of research and validation led by P. Ramnarayan MD the pediatric version of the Isabel diagnostic tool was launched in June 2002. With support from the UK Department of Health, the UK National Health Service and other key medical institutions, Isabel quickly gained credibility and support from around the world. Isabel is a Web-based clinical decision support system which uses cutting edge technology from [http://www.autonomy.com Autonomy] an industry leader in Meaning Based Computing (MBC) coupled with proprietary Isabel algorithms to 'understand' vast amounts of medical knowledge. This enables the system to instantly provide the busy clinician with a safe checklist of likely diagnoses for a set of signs and symptoms entered in free text. The clinicians who 'Isabel' their patients at an early stage are able to offer a higher quality of care and reduce clinical risk by ensuring that important possible diagnoses have not been missed. |
| + | |||
Using the same proprietary technology which powers the diagnosis reminder system, Isabel also mobilizes knowledge to help the clinician find relevant and diagnosis specific answers to clinical questions more easily and quickly at the point of care. | Using the same proprietary technology which powers the diagnosis reminder system, Isabel also mobilizes knowledge to help the clinician find relevant and diagnosis specific answers to clinical questions more easily and quickly at the point of care. | ||
| − | |||
| − | |||
Isabel uniquely adds intelligence to the electronic medical record (EMR) by processing extracted relevant clinical information automatically thereby providing the clinician with diagnosis support instantly with no additional data entry. To date, Isabel interfaces with NextGen, PatientKeeper and A4 Health Systems, along with a number of hospital-based EMR vendors including Cerner. | Isabel uniquely adds intelligence to the electronic medical record (EMR) by processing extracted relevant clinical information automatically thereby providing the clinician with diagnosis support instantly with no additional data entry. To date, Isabel interfaces with NextGen, PatientKeeper and A4 Health Systems, along with a number of hospital-based EMR vendors including Cerner. | ||
| + | |||
| + | References: | ||
| + | |||
| + | http://publications.autonomy.com/pdfs/Autonomy/Case%20Studies/Pharmaceutical/ | ||
| + | http://www.isabelhealthcare.com | ||
Revision as of 06:57, 20 January 2009
Isabel was founded in July 1999 by Jason Maude and Charlotte Maude together with Dr. Joseph Britto in honor the Maude's infant daughter Isabel Maude and all patients whose lives have been impacted by missed or delayed diagnosis. The founders of ISABEL wanted to create a system that would enable doctors to reduce the number of patients becoming seriously ill as a result of incorrect or delayed diagnosis. After two years of research and validation led by P. Ramnarayan MD the pediatric version of the Isabel diagnostic tool was launched in June 2002. With support from the UK Department of Health, the UK National Health Service and other key medical institutions, Isabel quickly gained credibility and support from around the world. Isabel is a Web-based clinical decision support system which uses cutting edge technology from Autonomy an industry leader in Meaning Based Computing (MBC) coupled with proprietary Isabel algorithms to 'understand' vast amounts of medical knowledge. This enables the system to instantly provide the busy clinician with a safe checklist of likely diagnoses for a set of signs and symptoms entered in free text. The clinicians who 'Isabel' their patients at an early stage are able to offer a higher quality of care and reduce clinical risk by ensuring that important possible diagnoses have not been missed.
Using the same proprietary technology which powers the diagnosis reminder system, Isabel also mobilizes knowledge to help the clinician find relevant and diagnosis specific answers to clinical questions more easily and quickly at the point of care.
Isabel uniquely adds intelligence to the electronic medical record (EMR) by processing extracted relevant clinical information automatically thereby providing the clinician with diagnosis support instantly with no additional data entry. To date, Isabel interfaces with NextGen, PatientKeeper and A4 Health Systems, along with a number of hospital-based EMR vendors including Cerner.
References:
http://publications.autonomy.com/pdfs/Autonomy/Case%20Studies/Pharmaceutical/ http://www.isabelhealthcare.com
