Developing effective clinical decision support (CDS) systems for the highly complex and dynamic domain of clinical medicine is a serious challenge for designers. Poor usability is one of the core barriers to adoption and a deterrent to its routine use. We reviewed reports describing system implementation efforts and collected best available design conventions, procedures, practices and lessons learned in order to provide developers a short compendium of design goals and recommended principles. This targeted review is focused on CDS related to medication prescribing. Published reports suggest that important principles include consistency of design concepts across networked systems, use of appropriate visual representation of clinical data, use of controlled terminology, presenting advice at the time and place of decision making and matching the most appropriate CDS interventions to clinical goals. Specificity and contextual relevance can be increased by periodic review of trigger rules, analysis of performance logs and maintenance of accurate allergy, problem and medication lists in health records in order to help avoid excessive alerting. Developers need to adopt design practices that include user-centered, iterative design and common standards based on human-computer interaction (HCI) research methods rooted in ethnography and cognitive science. Suggestions outlined in this report may help clarify the goals of optimal CDS design but larger national initiatives are needed for systematic application of human factors in health information technology (HIT) development. Appropriate design strategies are essential for developing meaningful decision support systems that meet the grand challenges of high-quality healthcare.

We compare health information technology (IT) in the Department of Veterans Affairs (VA) to norms in the private sector, and we estimate the costs and benefits of selected VA health IT systems. The VA spent proportionately more on IT than the private health care sector spent, but it achieved higher levels of IT adoption and quality of care. The potential value of the VA's health IT investments is estimated at $3.09 billion in cumulative benefits net of investment costs. This study serves as a framework to inform efforts to measure and calculate the benefits of federal health IT stimulus programs.

Although worksite smoking restrictions have become increasingly common in recent years, organized labor has generally not been involved in the adoption of these policies; some evidence suggests that unions often oppose the adoption of worksite smoking policies. To contribute to an understanding of labor's role in tobacco control policies, this paper reports the results of a review of 85 arbitration cases and 5 cases of unfair labor practices charges published between 1986 and 1994. In most of the cases reviewed, management unilaterally imposed a new smoking policy, which the union then grieved. Union opposition to the policy generally focused on the process by which the policy was adopted, rather than the content of the policy; the concern was that management had breached its duty to bargain with the union regarding the adoption of the policy. These results underline the importance of joint labor-management actions on worksite tobacco control policies.

Objectives To illustrate key contextual factors that may have effects on clinical decision support (CDS) adoption and, ultimately, success. Materials and Methods We conducted a qualitative evaluation of 2 similar radiology CDS innovations for near-term endpoints affecting adoption and present the findings using an evaluation framework. We identified key contextual factors between these 2 innovations and determined important adoption differences between them. Results Degree of electronic health record integration, approach to education and training, key drivers of adoption, and tailoring of the CDS to the clinical context were handled differently between the 2 innovations, contributing to variation in their relative degrees of adoption and use. Attention to these factors had impacts on both near and later-term measures of success (eg, patient outcomes). Discussion CDS adoption is a well-studied early-term measure of CDS success that directly impacts outcomes. Adoption requires attention throughout the design phases of an intervention especially to key factors directly affecting it, including how implementation across multiple sites and systems complicates adoption, which prior experience with CDS matters, and that practice guidelines invariably require tailoring to the clinical context. Conclusion With better planning for the capture of early-term measures of successful CDS implementation, especially adoption, critical adjustments may be made to ensure that the CDS is effectively implemented to be successful.