Applying formalized rules for treatment procedures to data delivered by personal medical devices

Abstract

The paper presents a novel approach to online application of formalized rules for medical treatment procedures when processing data from personal medical devices. The rules are formalized by using a rule-based reasoning approach and are applied in order to enhance patient safety and support physicians in their daily work. The presented approach relies on dividing data processing into two stages: (1) the event processing stage and (2) the knowledge application stage. At the event processing stage raw data produced by personal medical devices is transformed into an aggregated/correlated form, as required by the rules for treatment procedures. At the knowledge application stage formalized rules are applied to transformed data, resulting in execution of various support actions. This paper describes how rules for treatment of patients suffering from cardiovascular diseases can be expressed in terms of an event processing statement set and a rule engine knowledge base. The technical feasibility of the proposed approach is supported by a detailed description of the TeleCARE remote healthcare framework - an implementation of the proposed approach along with evaluation performed using a large number of simulated personal medical devices.

Replicate or adapt? Franchising and organizational routines

“…When routines are causally ambiguous and the actions and tasks within them are interconnected in complex ways, replicating exactly is likely to lead to a more successful transfer because modifying imperfectly understood routines can cause changes in the effectiveness of the routines that, at least initially, go unnoticed (Winter et al , 2012). Studies involving medical equipment (Skałkowski and Zieliński, 2013) and manufacturing (Dowell and Swaminathan, 2000), for example, revealed negative consequences when previously successful routines were modified. Part of the problem is that redesigning routines is influenced by different actors’ preferences and incentives, which can weaken adapted routines relative to previously successful ones (Gupta et al , 2015).…”

13. From telemedicine to modeling and proactive medicine

“…The medical data can be collected automatically (directly from devices, requires Bluetooth capable medical equipment) or manually (patient reads the single measurements from a device and submits them using an input form in the mobile application). The second part of the framework is responsible for receiving measured data from patients and later processing, analyzing and visualizing it in accordance with the rules previously individually defined by physicians [46]. The third part -the web subsystem -is implemented as a web interface for the users allowing them to interact with the system through a web browser.…”

Trends on Integrating Framework of Applications or Data

“…The authors emphasize key questions for the construction of benchmark databases proposed methods and tools to build them in the context of diabetic retinopathy. The Skalkowski & Zielinski paper [3] addresses the problem of processing data from medical personal devices with formalized rules for treatment procedures.…”