| pubmed-article:8563403 | pubmed:abstractText | The physicians of the Children's Asthma Center and the computer scientists of Information Services at Texas Children's Hospital set out to design a system that is comfortable to use, structured enough to effectively measure outcomes, yet flexible enough to conserve the individuality of the patient. To achieve these goals, we examined how the differential diagnosis process is applied to clinical decision making and implemented it in a clinical workstation. Unique patterns representing the state of the patient's disease are formed by dynamically selecting pertinent sets of observations, assigning attributes to these observations, and describing relationships between observations and/or sets of observations. | lld:pubmed |
