Databases Reference
In-Depth Information
Figure 3-15.
Location aware analytics application for optimal health-care service
The above use case can also be extended to telemedicine analytics. Telemedicine
platforms can be enabled for the patient when it's difficult for the patient to come to the
hospital. A telemedicine platform can capture various vitals of the patient like temperature,
heart rate, blood pressure and ECG, which can then be streamed into a central repository in
real time. Once collated, a series of triggers can be placed on the data to sense and respond
to health conditions:
•
ALERT-1: If growth in the concentration of BP with statistical
significance is found for males in the age group 30 to 45 in a
specific zip code, say 08837, then it would be a good idea to hold
awareness sessions to sensitize the inhabitants in that zip code
to follow healthy eating habits and recommend periodic health
checkups.
•
ALERT-2: If the number of patient segment migrations > 10
percent based on actual diagnosis events moves from cluster-2 to
cluster-5 then proactively import preventive medicine in bulk to
cater to growing needs.
Use case - 3: Apriori sequence analysis to define new clinical pathways
A priori algorithms
can be used to unearth interesting sequences in data occurring
close to each other before a clinical outcome (Figure
3-16
). These could be time ordered
sequences of events. This would help us create episode rules like
“If 'restlessness' and
'insomnia' occurs in the transcripts there is a 60 percent chance that a coronary episode is
imminent.”
These can trigger proactive interventions, which can
help
reduce the chances
of an adverse event or a hospital admission event.
