Aplikasi Konsep Personal Knowledge Management (PKM) dengan Social Web

This study discusses the impact of social media to the development of personal knowledge management (PKM). Here the author describeS the factual condition of the company that useS social media as a means of personal knowledge management. Furthermore, these interaction patterns have significant impact on the organization. The purpose of this article is to analyze the application of personal knowledge managementconcept, combined with the social media concept that focuses on social networks with the consideration that they are widespreadly used by the public. Plus the emergence of social networking sites are increasingly new added value to the development of social media. The method used is literature study obtained from the online journals, articles and text books. The result of this study is expected to expand the use of social networking as a means of personal knowledge management in the organization

Flow chart study cohort and evaluated parameters.

Fig 1 shows a flow chart on the outcome of patients with different duration of ICU treatment with an overview of available numbers of examined parameters at the respective time points.</p

Univariate correlations with mortality: ROC and Cox regression.

Univariate correlations with mortality: ROC and Cox regression.</p

Univariate hazard ratios for subgroups of primary diagnosis.

Univariate hazard ratios for subgroups of primary diagnosis.</p

Fig 3 -

Kaplan Meier curve of mortality by maximum lactate (A), minimum base excess (B) and minimum pH (C) in the first 24 h after admission. Cut off values used for stratification in risk groups were determined by ROC analysis. Abbreviations: Lac, lactate; BE, base excess.</p

Characteristics of complete cases (patients with duration of ICU treatment >48 h) compared to patients with ICU treatment <48 h.

Characteristics of complete cases (patients with duration of ICU treatment >48 h) compared to patients with ICU treatment <48 h.</p

Characteristics of study cohort.

Characteristics of study cohort.</p

Fig 2 -

ROC analysis of mortality by maximum lactate (A), minimum base excess (B) and minimum pH (C) in the first 24 h after admission. Abbreviations: AUROC, Area under the receiver operating characteristics curve; max., maximum; min., minimum; sens., sensitivity; spec., specificity; J, Youden-Index.</p

Data set.

(XLSX)</p

Absolute number and percentage of observation days with hemoglobin concentrations < 8 g/dl and < 9 g/dl.

<p>Absolute number and percentage of observation days with hemoglobin concentrations < 8 g/dl and < 9 g/dl.</p