OSCAR Roadmap

There are so many aspects of OSCAR that as yet do not exist but in listing them it will provide a little bit of structure for road map development. As always really happy to get comments.

  • The nature of textual repositories for Clinical Decision Rules
  • The unique identification of CDRs – textual – within a Repository
  • The unique identification of CDRs – non-textual – within a Repository
  • The process of creating CDR Algorithms from CDR Textual Rules
  • Role of text or journal publisher in ensuring standardization of textual CDR presentation
  • The overarching governance model
  • Determining the safety of any endorsed or repository referenced CDRs
  • Ensuring the review of CDRs and deprecation of invalid or no longer accurate CDRs
  • Developing a level of confidence suitable for machine interpretation to determine use of particular rules in particular problems
  • Development of various header and footer metadata structures
  • Metadata to incorporate suitable nationalities, domains for use
  • The nature of the CDR header to allow machine language understanding of programming structure
  • Audit processes to ensure semantic interoperability between text and machine interpretation

I will be developing or ‘fleshing out’ each of the points above and reviewing the literature in these areas.
There are many other things to consider but its a start!

Review: The Girl on the Train

The Girl on the Train
The Girl on the Train by Paula Hawkins
My rating: 3 of 5 stars

How sad a woman’s existence can be. Simone de Beauvoir seems to have idolatrous love down to a tea at least for this writer. Will be interesting to see how the movie deals with the first person aspect – lots of narration I suspect. Didn’t quite get the killer till about halfway. She is a very interesting writer. Audio book was well done.

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Shazam – A knowledge evolutionary tool?

platoAround 2442 years ago in low tech Athens a wise thinker – Plato – demonstrated his deep understanding of the value of knowledge and the beauty of music. He understood that music gives the universe a soul, wings to our minds, flights of imagination and life to everything but equally he understood that the soul needs to live and for that knowledge is the food.

Music may be non-verbal but is clearly an audible communication that speaks directly to the human consciousness, intellect or whatever makes the soul of a human life. Music follows the rules of this universe and its physics are demonstrated in a rich and wonderful relationship to the mathematics deep within each melody and harmony – a phenomena of nature.

Sadly, unless one has the sheet music representation, music doesn’t come with its own readable metadata. Recognition of a tune or a song lies deep within the human intellect, generated by repeated hearing or practice, allowing recall and the ability to hum, innovate, whistle and sing.

Shazam is changing this knowledge weakness and further minimizing our human frailty. Once you have used it you find it unsettling in its speed and accuracy. While far from perfect, it is clearly a substantial and emerging machine enhanced knowledge skill for humanity.


Shazam is a truly innovative knowledge assistant for humans. While simple in execution, this belies the underlying complexity which is both daunting and exciting in its scope and potential. Shazam Entertainment Ltd was founded in 1999 by Chris Barton, Philip Inghelbrecht, Avery Wang and Dhiraj Mukherjee and is based in London. The company is expanding into integration within cinema, advertising, TV and retail environments. We will have to wait to see where this innovative thinking will lead.

Shazam uses built-in smart phone technology and gathers or “listens” to audio being played. It creates an acoustic fingerprint based on the sample, and compares it against a central database for a match. Sounds simple but belies the complexity of the underlying algorithms, data storage and governance needed to make it work every time. It is now able to run constantly in the background identifying for you the music that surrounds, while you do other tasks.

Is this a tool which helps us to manage information overload or infoglut or does it, with great subtlety, generate yet even more information as metadata? That data in turn driving us to look at more of the millions of new music published each year to derive an even better understanding of what is already out there.

A question to ponder as I yet again wonder what that piece of music is!

Deliberations on a Life's Journey.