Mid-term report on the Arden Syntax in a clinical event monitor

Ludemann, Peter

doi:10.1016/0010-4825(94)90005-1

Cited by 5 publications

(1 citation statement)

References 3 publications

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“…Clinical alerts and reminder systems are a key component of many monitoring systems and have seen application of fuzzy logic reasoning techniques [Becker et al, 1997] and rule-based techniques [Ludemann, 1994;Lussier et al, 2007]. Patient data encoded with EMR can be used to automatically detect adverse clinical events, thus enhancing disease surveillance [Hazlehurst et al, 2005].…”

Section: Figure 3 Distribution Of Articles In Knowledge Application mentioning

confidence: 99%

Information Systems and Healthcare XXXIV: Clinical Knowledge Management Systems—Literature Review and Research Issues for Information Systems

Wills¹,

Sarnikar²,

El‐Gayar³

et al. 2010

CAIS

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Knowledge Management (KM) has emerged as a possible solution to many of the challenges facing U.S. and international healthcare systems. These challenges include concerns regarding the safety and quality of patient care, critical inefficiency, disparate technologies and information standards, rapidly rising costs and clinical information overload. In this paper, we focus on clinical knowledge management systems (CKMS) research. The objectives of the paper are to evaluate the current state of knowledge management systems diffusion in the clinical setting, assess the present status and focus of CKMS research efforts, and identify research gaps and opportunities for future work across the medical informatics and information systems disciplines. The study analyzes the literature along two dimensions: (1) the knowledge management processes of creation, capture, transfer, and application, and (2) the clinical processes of diagnosis, treatment, monitoring and prognosis. The study reveals that the vast majority of CKMS research has been conducted by the medical and health informatics communities. Information systems (IS) researchers have played a limited role in past CKMS research. Overall, the results indicate that there is considerable potential for IS researchers to contribute their expertise to the improvement of clinical process through technologybased KM approaches.

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