# Anomoly detection from a medical equipment

**URL:** <https://discuss.elastic.co/t/anomoly-detection-from-a-medical-equipment/160636>\
**Category:** Elasticsearch\
**Created:** [December 12, 2018, 11:13pm UTC](https://discuss.elastic.co/t/anomoly-detection-from-a-medical-equipment/160636 "2018-12-12T23:13:39Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![Ratnadeep\_Saha](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/ratnadeep_saha/32/38761_2.png) [@Ratnadeep\_Saha](https://discuss.elastic.co/u/Ratnadeep_Saha)\
**Post date:** [December 12, 2018, 11:13pm UTC](https://discuss.elastic.co/t/anomoly-detection-from-a-medical-equipment/160636/1 "2018-12-12T23:13:40Z")

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Hi,  
I want to have an overview of how elastic stack can help to address below problem.  
I am having medical equipments in hospitals or pharmacy's at different location, now I want to get notified centrally at my back office that if any one is tampering data or misusing those equipments or not by real time analysis and anomoly detection of those device's log. How is that possible by elastic stack?

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**Author:** ![rugenl](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/rugenl/32/12887_2.png) [@rugenl](https://discuss.elastic.co/u/rugenl)\
**Post date:** [December 13, 2018, 2:32am UTC](https://discuss.elastic.co/t/anomoly-detection-from-a-medical-equipment/160636/2 "2018-12-13T02:32:18Z")

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How would you do it without elastic? What logs or alerts does the system generate if tampering occurs? Is there a common base OS (Linux?) Is there any hardware alerts like some servers alert if chassis is opened?

You'll have to start with the available basic elements then add collection and alerting to those.

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**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\
**Post date:** [January 10, 2019, 2:32am UTC](https://discuss.elastic.co/t/anomoly-detection-from-a-medical-equipment/160636/3 "2019-01-10T02:32:19Z")

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Closed on January 10, 2019, 2:32am UTC

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