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AI ēnnovation for Premium Patient Encounters

AI to the Core

eHealthcare Technologies, Inc. > AI to the Core

The Core of eHealthview is

AI & Machine Learning

MIRR uses AI as the primary underlying technology used to drive the key features of eHealthview.  Without it our customers could remain stagnant in their efforts for premium patient encounter efficiency.  With it they will soar – in both patient care ability and savings.  So, in essence, 360 degree happiness!

Our services

Our Take on It Is ...

Professional

Prominence for holding & delivering standards of excellence.

We have established a set of values that straddle our internal relationships and our relationships and service delivery with clients, vendors, and partners.  These same principles on which our company was founded will ensure our identity and be carried throughout all of our work.  This includes in-house work to develop eHealthview and other products and engagements once we step outside the doors of MIRR.  The minds at MIRR are not just cognizant regarding skills related to work product but also how what we say and do reflects on us as a unit.  Once we perpetuate this we can always attract the right people to grow the MIRR family and further radiate our positive identity.

AI & Machine Learning are not prominent across the healthcare landscape yet.  However, adoption of these technologies will hinge on the efficiency in which the technology is delivered to aid healthcare professionals in realizing benefits.  MIRR understands this and has equipped it’s development path with ways to show – at all relevant steps in a patient encounter – how this technology will reap huge benefits for all engaged in the patient encounter experience.

Well, we have taken a few areas for which eHealthview will deliver efficiencies in the patient encounter experience and provided a glimpse:

eHealthview AI Will Help You Soar Through:

MODELS
TECHNICAL
MODELS
Models built from Machine Learning means less scrambling for proper keywords and criteria to document patient encounters.
NOTES
ENCODE
NOTES
This portion of the encounter process is often the most cumbersome.  It ill be made far more efficient through application of the MIRR Machine Learning foundation.
PATIENT DISCUSSIONS
ANALYZE
PATIENT DISCUSSIONS
The process of reviewing patient engagement is now made easier by complementing patient-care professional’s knowledge with technology-driven information.  Two brains – 1 human, 1 electronic – will be better than one!
DIAGNOSIS
PINPOINT
DIAGNOSIS
Diagnosis is greatly enhanced by making code selection a process that will not rely purely on patient-care professional knowledge but also heavily on our Machine Learning architecture.  The result is accurate codes with less effort.
TREATMENT PATHS
CLEAR
TREATMENT PATHS
Correct diagnosis codes means only half the battle is over.  But with our application of Machine Learning throughout the patient encounter process the other half of this – procedure and treatment path – is accomplished efficiently as well.
LESS ADJUSTMENTS
MORE PATIENT CARE
LESS ADJUSTMENTS
The financial health of an organization leans on their delivery of service to aid patient health.  This health will remain high if healthcare professionals spend less time adjusting notes and codes for correct billing.  Thanks goodness we thought of this too!

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