A Smart Medical Process Rated on its Cumulative Process Intelligence Quotient (CPIQ)

Jim   Sinur
Jim Sinur VP and Research Fellow, Aragon Research Read Author Bio || Read All Articles by Jim Sinur

In my series "How Smart Is Your Business?" I've outlined the four dimensions of the ISAA framework, enumerating the ways to measure the intelligence of your processes in terms of being:  Intelligent, Social, Agile, and Autonomous.  I have proposed a way to measure and visualize the cumulative intelligence of a process by creating a shape that lets us observe its cumulative IQ — a Cumulative Process IQ (CPIQ) diagram — and last time I gave the CPIQ a test drive.  I also promised to rate some innovative processes using the cumulative process intelligence quotient (CPIQ).  So this month I describe one of my favorite smart processes, one that manages an outpatient surgical center.

The Challenge

This organization wanted to find a balanced optimization that leveraged resource utilization with the best patient care.  Quite often one suffers at the expense of the other.  In fact, this organization defined an extended patient care that included the people accompanying the patient, in that they were given visibility into progress in near real time.

The Solution

Each resource is tagged with sensors that are readable throughout the facility.  This includes patients, relatives/friends, medical personnel, and equipment.  A visual simulation is run to show optimal throughput and positive outcomes.  Once a goal (one amongst many) is sensed to be in jeopardy, a re-simulation with adjusted goals is run with a new visual dashboard representing the new goal balance. 

There are many reasons for optimal goal balances to be in jeopardy, including medical personnel getting interruptions, equipment not being ready, late patients, slower than expected recoveries, etc.  But this process is smart enough to deal with re-balancing and real-time visibility.

Figure 1.  CPIQ of a Smart Surgical Center.

Net; Net

In this organization's CPIQ diagram (Figure 1) you can visually see where the intelligence of this process is more advanced.

This is a highly-summarized and anonymous case study provided by Bosch.

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Standard citation for this article:

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Jim Sinur, "A Smart Medical Process Rated on its Cumulative Process Intelligence Quotient (CPIQ)" Business Rules Journal, Vol. 15, No. 9, (Sep. 2014)
URL: http://www.brcommunity.com/a2014/b776.html

About our Contributor:

Jim   Sinur
Jim Sinur VP and Research Fellow, Aragon Research

Jim Sinur is an independent consultant and thought leader in applying business process management (BPM) to innovative and intelligent business operations (IBO). His research and areas of personal experience focus on business process innovation, business modeling, business process management technology (BPMT), processes collaboration for knowledge workers, process intelligence/optimization, business policy/rule management (BRMS), and leveraging business applications in processes. Mr. Sinur was critical in creating the first Hype Cycle and Maturity Model, which have become a hallmark of Gartner analysis, along with the Magic Quadrant. He has been active in the rules, data and computing communities, helping shape direction based on practical experience. Mr. Sinur has vertical industry experience on the investment and operational sides of the insurance and financial services.

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