An intention-based language for sharing clinical guidelines
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abstract: Automated support for guideline-based care would be enhanced considerably by aformal, sharable representation of clinical guidelines. The representationshould include the explicit intentions of the guideline's author regarding boththe desirable actions of the care provider and the patient states to beachieved before, during, and after the administration of the guideline. Intentions can be represented as temporal patterns of provider actions orpatient states to be maintained, achieved, or avoided. Automated support canbe viewed as a collaborative effort of the health-care provider and anautomated assistant and involves several different tasks. We developed a standardized, sharable, text-based, machine-readable language torepresent and annotate clinical guidelines. The language supports maintenanceof the automated assistant's knowledge base and should improve the quality andflexibility of the automated assistant's recommendations. We are developingreasoning mechanisms that use the language for various execution and critiquingtasks in conjunction with an online electronic medical record.
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| Abstract | Automated support for guideline-based care … Automated support for guideline-based care would be enhanced considerably by aformal, sharable representation of clinical guidelines. The representationshould include the explicit intentions of the guideline's author regarding boththe desirable actions of the care provider and the patient states to beachieved before, during, and after the administration of the guideline. Intentions can be represented as temporal patterns of provider actions orpatient states to be maintained, achieved, or avoided. Automated support canbe viewed as a collaborative effort of the health-care provider and anautomated assistant and involves several different tasks. We developed a standardized, sharable, text-based, machine-readable language torepresent and annotate clinical guidelines. The language supports maintenanceof the automated assistant's knowledge base and should improve the quality andflexibility of the automated assistant's recommendations. We are developingreasoning mechanisms that use the language for various execution and critiquingtasks in conjunction with an online electronic medical record. with an online electronic medical record. |
| Author | Yuval Shahar +, Silvia Miksch +, and Peter Johnson + |
| Bibtype | techreport + |
| Institution | Knowledge Systems, AI Laboratory + |
| Key | KSL-96-15 + |
| Month | March + |
| Note | Medical Computer Science + |
| Number | KSL-96-15 + |
| Tag | Computer science + |
| Title | An Intention-Based Language for Sharing Clinical Guidelines + |
| Tr id | KSL-96-15 + |
| Year | 1996 + |

