8 Psychographic Points on Achieving Digital Transformation for Healthcare Industry!

Infusing technology in healthcare has one basic challenge and that is acceptance of anything technologically driven by the healthcare practitioners.


As it is, healthcare professionals are not technology savvy, they are consumers of technology, there is a slight difference between a technology consumer and technology based operator.


“Doctor's use interpersonal interactions to base their diagnosis on, a patients biomarkers are indicators, however, visible, environmental and physiological behaviour indicators also make up a large portion of Doctor's analysis”

Medical practices is still very old school, in that a new doctor needs an old doctor to guide them through their approach to treatment.


1. Everything is Observational


A patient behavior, speech pattern, mannerism all make up factors of diagnosis, this along with various medical reports from pathology labs makes up the full diagnosis. A patient exhibiting certain symptoms, having certain biological markers determined via laboratory reports will comprise the first of many observations a doctor makes.


A digital tool that enables doctors to make audio-visual remarks on patients and something that auto scribes the audio visual feeds back to a report makes for one of the most common tools of Digital use and transformation


2. Knowledge Must be Captured


How a diagnostic was arrived at and likewise, how the treatment decision is made is a crucial knowledge element that needs capturing. Doctor's often infer their treatment based on past records and events that attribute their decision to the application of current treatments.


These references are difficult to classify and even more difficult to make available - upon a search query.


Afterall, how to you search something that was similar to something? Thankfully, there are methods available with Web 3.0 i.e. semantic search algorithms that can make assumptions on the search and provide more meaningful search results.


Furthermore, there are Artificial Intelligence platforms being developed that can do the inferring part.


Each capability of search needs to be applied through exploration and applied within a system when the volume of data being captured in the system increases, so as to aid effective algorithmic learning.


3. Approach must be disseminated


What worked and under what circumstance, what were the factors that led to application of the methods and what was checked or cross referenced before application of the treatment... all comprise the overall approach mechanisation.


The approach as a process must be listed and each approach cycle captured via data points, thus forming a blueprint of treatments and diagnostics.



4. Theory and Practice Must Co-Exist


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5. Record keeping Should be Interoperational


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6. Everything Should Carry a Business Sense

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7. Built-in Reward Program Must Exist


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8. Always Yield Revenue


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