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Method and Apparatus for Automated Patient Activity Planning Combining EMR, Knowledge and Exogenous Data Disclosure Number: IPCOM000248182D
Publication Date: 2016-Nov-04
Document File: 2 page(s) / 76K

Publishing Venue

The Prior Art Database


Disclosed are a system and method for cognitive patient non-health activity planning. The system and method extract and combine data for a patient from an Electronic Medical Record (EMR) system and knowledge sources, analyze the data to automatically configure a set of applications for patient activity, and provide notifications to the user of the optimal activity or travel plan based on health parameters and external conditions.

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Method and Apparatus for Automated Patient Activity Planning Combining EMR, Knowledge and Exogenous Data

Prior art shows how Electronic Medical Record (EMR) data can be combined with knowledge information to automatically configure monitoring of health data collected on or through mobile devices. However, the methods disclosed are not used for other normal patient activities such as travel for work or otherwise. A person's current state

of health, combined with environmental factors, can affect that person's plans or activities. For example, a person with asthma should not travel to a city that is experiencing a period of heavy smog or dense air pollution; a person with active allergies to pollen might not want to plan a trip to the park on a warm spring day. This article describes how to automate activity planning based on the patient EMR data, other knowledge sources, and additional exogenous data.

The novel idea is to combine data from EMR and knowledge of environmental conditions to automatically configure applications (apps) on mobile devices for non-health based activities (e.g., travel app). Based on personalized parameters for exogenous data (e.g., the weather, pollution level, allergens etc.) along with the collected health data, the system selects the optimal travel plan for the user.

The novel approach is to configure the app to provide notifications of the optimal activity choices for the user. The system monitors both the conditional exogenous data as well as requests for non-health activities of the patient. The system combines information from the EMR and conditional exogenous data to automatically configure the app and accordingly recommend non-health plans. The system also monitors non-health activity and sends alerts and notifications to the user in accordance with the activity and the current values for the conditional exogenous data.

Figure 1: Basic system

The implementation process illustrated in the above figure follows:

1. Patient data, including patient identification, diagnosis, lab test information, history and other data, is extracted from an EMR system(s) 100

2. Data is stored in an EMR extract 510

3. Knowledge data and guidelines for a variety of chronic diseases is extracted


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  from knowledge sources and stored in a knowledge summary and guideline store 4. A care manager initiates the process through a care management system 600, making a request with a patient ID to auto configuration logic 530 5. The auto configuration logic retrieves data from the EMR extract 510 to identify the disease and relevant lab test and history information, and then combines this

  with data from the knowledge summary and guidelines 520 6. The auto configuration logic creates a set of exogenous data p...