Computerized consultation system for selection of antimicrobial therapy

Wraith, Sharon M.; Aikins, Jan; Buchanan, Bruce G.; Clancey, William J.; Davis, Randall; Fagan, Lawrence M.; Hannigan, John F.; Scott, A. Carlisle; Shortliffe, Edward H.; Melle, W J van; Yu, Victor L.; Axline, Stanton G.; Cohen, Stanley N.

doi:10.1093/ajhp/33.12.1304

Cited by 13 publications

(4 citation statements)

References 7 publications

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“…We can trace medical informatics as an interdisciplinary research field back to the 1960s 36 37 . M YCIN , an ad hoc model with about 450 rules developed to diagnose blood infections, was one of the first expert systems 38 . ADM, a computer-assisted diagnostic system developed in 1972, covered 2,500 diseases with 22,000 signs and symptoms 39 40 .…”

Section: Discussionmentioning

confidence: 99%

Untangling Data in Precision Oncology – A Model for Chronic Diseases?

Fernández

2020

Yearb Med Inform

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Objectives: Any attempt to introduce new data types in the entangled hospital infrastructure should help to unravel old knots without tangling new ones. Health data from a wide range of sources has become increasingly available. We witness an insatiable thirst for data in oncology as treatment paradigms are shifting to targeted molecular therapies. Methods: From nineteenth-century medical notes consisting entirely of narrative description to standardised forms recording physical examination and medical notes, we have nowadays moved to electronic health records (EHRs). All our analogue medical records are rendered as sequences of zeros and ones changing how we capture and share data. The challenge we face is to offload the analysis without entrusting a machine (or algorithms) to make major decisions about a diagnosis, a treatment, or a surgery, keeping the human oversight. Computers don’t have judgment, they lack context. Results: EHRs have become the latest addition to our toolset to look after patients. Moore’s law and general advances in computation have contributed to make EHRs a cornerstone of Molecular Tumour Boards, presenting a detailed and unique description of a tumour and treatment options. Conclusions: Precision oncology, as a systematic approach matching the most accurate and effective treatment to each individual cancer patient, based on a molecular profile, is already expanding to other disease areas.

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Section: Discussionmentioning

confidence: 99%

Untangling Data in Precision Oncology – A Model for Chronic Diseases?

Fernández

2020

Yearb Med Inform

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“…In the MYCIN system used for the management of patients with infections, a set of "ifthen" rules was used to generate advice for physicians. 9 A combination of Bayesian and rule based approaches was used in the MEDITEL-PEDS diagnostic system for paediatrics. 10 In the DXplain medical diagnostic aid, scores for diseases were based on disease probabilities and heuristic methods ("rules of thumb").…”

Section: The Pastmentioning

confidence: 99%

Paediatric clinical decision support systems

Ramnarayan

Britto²

2002

Archives of Disease in Childhood

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“…Once raw clinical data are acquired, the detection of signatures of bioterrorism requires sophisticated and prompt interpretation of monitored health care data across time [37][38][39][40] and geography 41,42 -this in the context of many diseases with early clinical presentations overlapping those of the bioterrorist infectious agents. The uncertainty associated with this overlap and the variation of the degree of the overlap require the probabilistic inference techniques [43][44][45][46][47] developed by informaticians for distinguishing subtle signals or diseases from the background of events or findings of lesser import.…”

Section: Threat Detectionmentioning

confidence: 99%

The Contributions of Biomedical Informatics to the Fight Against Bioterrorism

Kohane

2002

Journal of the American Medical Informatics Association

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A comprehensive and timely response to current and future bioterrorist attacks requires a data acquisition, threat detection, and response infrastructure with unprecedented scope in time and space. Fortunately, biomedical informaticians have developed and implemented architectures, methodologies, and tools at the local and the regional levels that can be immediately pressed into service for the protection of our populations from these attacks. These unique contributions of the discipline of biomedical informatics are reviewed here.

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Computerized consultation system for selection of antimicrobial therapy

Cited by 13 publications

References 7 publications

Untangling Data in Precision Oncology – A Model for Chronic Diseases?

Untangling Data in Precision Oncology – A Model for Chronic Diseases?

Paediatric clinical decision support systems

The Contributions of Biomedical Informatics to the Fight Against Bioterrorism

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