1. Root Cause Analysis

    06:34

    from Ulfat Shaikh / Added

    9 Plays / / 0 Comments

    This video will help you understand the elements of Root Cause Analysis in health care and describe how you can use the 5 Whys and Fishbone Diagram in conducting a Root Cause Analysis.

    + More details
    • TapRooT® Instructor Chris Vallee Shares Best Practices in Process Quality

      05:53

      from TapRooT® Root Cause Analysis / Added

      96 Plays / / 0 Comments

      Process Quality Tip: Define the Scope of Your Investigation Learn about the Process Quality and Corrective Actions Track at the 2015 Global TapRooT® Summit

      + More details
      • Akiva Northern 1-3

        21:06

        from TapRooT® Root Cause Analysis / Added

        0 Plays / / 0 Comments

        + More details
        • Kepner-Tregoe Problem Solving and Decision Making Introduction Video

          01:42

          from Kepner-Tregoe / Added

          1,524 Plays / / 0 Comments

          Learn about the benefits of Kepner-Tregoe Problem Solving and Decision Making for your organization.

          + More details
          • Web-based Root Cause Analysis Software

            01:55

            from Brian Hughes / Added

            578 Plays / / 0 Comments

            Causelink® Enterprise root cause analysis software helps teams collaborate to solve problems and lets managers see the big picture in their RCA program. Complete with action tracking, common cause analysis, workflow, team utilization, and other management reports, Causelink is the best way to perform quality investigations and share findings across the organization. http://www.sologic.com/root-cause-analysis-software/rca-enterprise-software

            + More details
            • Dan Avery Shares His Favorite Aspects of the 2014 Global TapRooT® Summit

              00:39

              from TapRooT® Root Cause Analysis / Added

              7 Plays / / 0 Comments

              These videos were filmed onsite at the Global TapRooT® Summit in Horseshoe Bay, Texas. Out attendees took a few moments to share about some of their experiences. To learn more about the Summit, visit: http://www.taproot.com/taproot-summit

              + More details
              • Causelink Enterprise from Sologic - Sharing Lessons Learned

                01:55

                from Sologic - Root Cause Analysis / Added

                54 Plays / / 0 Comments

                Causelink Enterprise from Sologic enables you to store and analyse your Root Cause Analysis investigations on one web based platform. Using lessons learned from across your organisation to increase corporate memory and effective problem solving. Share RCA findings from one secure web based location. For more information on Sologic Europe, visit: www.rootcauseanalysistraining.co.uk

                + More details
                • State Space

                  02:43

                  from Graphene® / Added

                  State Space. Objects (...) We front immediately the problem to define what is an “object”. The most modern and general answer (see figure below), is a strictly mathematical one. It conceives an object like what exists in a space, named State Space, encompassing all possible states of the object, and remaining itself after all possible transformations. What is an “object”? Today's only non-circular logic answer describes the object as an entity existing in the state space M. M includes all possible states of an object. The rules fα and fβ assign logical predicates to the representations fα (M) and fβ (M) for the state x. The transformation fβ . f -1α is a map pointing to the “objective” state x. It is the invariance under transformations among all representations which confirming that x is an “object”. Invariance implying that x abstracts, say remains itself, by all possible transformations (image credit S. Y. Auyang, 1995). State Space Natural arena of all dynamical systems (e.g. Machinery) Imagine the drum in a gun used to play Russian-roulette. The assessment of its intuitively different Risk when charged with n or n - 1 bullets, is strictly due to the different state spaces occupied by the differently charged drums. The intuitively different Risk's assessment, tells openly we are constantly using state space ideas, also if many are not aware of it The 4-dimensional space-time we perceive and conceive by mean of our 100 billion of neurons, frequently named physical space, is not the State Space, rather a subset. All objects we perceive directly, show us a mere instantaneous and constantly changing projection of their complex existence in an higher dimensional space (> 9 dimensions). Normally, we relate ourselves with systems of objects. A scholar definition summarises the state of a system like: “Present value of some of the inner elements of the system, that change separately, but not completely unrelated, with respect to the output of the system”. In other words, the state of a system is an explicit account of the values of the system inner components. Then, what is State Space ? To start to grab this concept, think to the drum in a gun used as Russian-roulette. Russian-roulette emulates quite well in the collective imaginary all of the named “Montecarlo-devices”. Montecarlo-devices are man-made systems trying to reproduce Nature’s constant launch of a dice over all of its existing faces. A constantly happening process, confirmed by theory and experiments, also if happening in spaces, dimensions and energy levels we cannot directly perceive with our eyes. When the drum is charged with n bullets the gun is riskier than when: charged with n - 1 bullets, the drum has m - 1 slots, rather than m. The intuitively different assessment for the risk involved when shooting one or the other gun, is strictly due to the different measures of the state space in each particular case. Through all this, the bullets, n and the slots m are conditions which have to be present in the Past, to induce a risk to mortally shot oneselves in their Future. As seen from the point of view of our own macroscopic geometric sizes, time intervals, masses and energies, it exists a definite time-orientation. Time-arrow sequencing all processes as: cause ⇒ effect Effect in the Future that we’ll be representing below as a vertex (an inverted “ V ”). In this specific example regarding a Russian-roulette gun, the Effect is better named as a plurality of Effects. A spectrum of different Futures, each one associated to a certain measure of negative outcome. What in layman language is named Risk. Shown in the following the vertices formed in such a way in the state space representing a gun differently configured with n = (1, 2) of the complete set existing for: m (1, 2, … 6) slots in the drum; n (1, 2, … 6) bullets; READ MORE AT: http://www.graphene-lda.com/designer-portal/root-cause-analysis/index.html The music we choose is "Tears in Rain", from The Blade Runner soundtrack, composed by Vangelis for Ridley Scott's 1982 film Blade Runner.

                  + More details
                  • Billy Hendricks Shares His Favorite Aspects of the 2014 Global TapRooT® Summit

                    01:45

                    from TapRooT® Root Cause Analysis / Added

                    13 Plays / / 0 Comments

                    These videos were filmed onsite at the Global TapRooT® Summit in Horseshoe Bay, Texas. Out attendees took a few moments to share about some of their experiences. To learn more about the Summit, visit: http://www.taproot.com/taproot-summit

                    + More details
                    • Ron Zanoni Shares His Favorite Aspect of the 2014 Global TapRooT® Summit

                      00:52

                      from TapRooT® Root Cause Analysis / Added

                      8 Plays / / 0 Comments

                      These videos were filmed onsite at the Global TapRooT® Summit in Horseshoe Bay, Texas. Out attendees took a few moments to share about some of their experiences. To learn more about the Summit, visit: http://www.taproot.com/taproot-summit

                      + More details

                      What are Tags?

                      Tags

                      Tags are keywords that describe videos. For example, a video of your Hawaiian vacation might be tagged with "Hawaii," "beach," "surfing," and "sunburn."