Drug Information Journal - March 2009 - (Page 169) Knowledge Innovation and Clinical Operational Excellence MEDICAL INFORMATION 169 250 235 LPLV-DBR FIGURE 9 Reduction in time from study end (last patient last visit, LPLV) to database release (DBR), sorted by DBR date from 2001 to 2007. Dark gray bars indicate trials using new methods of knowledge management. 200 Days Between LPLV and DBR 150 138 100 74 50 51 34 36 39 45 16 0 1 2* 3 4* 5* 6 7* 8 9 10 11 12* 13 51 43 41 28 19 7 14* 15* 13 16* Study Sorted by DBR Date information created in an increased event space (ie, the potential number of outcomes from an input reaction). Hence, the optimal way to describe and control systems in the knowledge economy is via the theories of nonlinearity (7), complexity, and chaos theory, where even small changes can have a nonpredictable large effect and vice versa (8). Rather than trying to solve unsolvable dilemmas, it would be better to be prepared by working and flowing with the unpredictable system and trial staff, which is vital for a successful outcome. The New Way of Working has been developed and implemented based upon these considerations. Predictable setting 100 Unpredictable setting FIGURE 10 80 High-Low Value 60 40 20 0 Value curves for standard clinical trials (predictable setting) versus trials in an unpredictable setting. Drug Information Journal o av r y g ail ui ab del Nu le ines m SO ber P d of ev pla Ce iatio nned ntr ns al sit es ele cti on Nu mb er of pa tie nts Nu mb er of SA Es Nu mb er of Us DC eo Fs tra f r ini ecr ng ui ma tme na nt/ Us ger eo fI Lm Us eo an ag fc er en tra wa l reh inf ou orm se a tio Us n eo fp art ial DB Ti m R eb etw an e d D en BR LPL V Task Re gu lat
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