Clinical care and the factory floor. (33/1342)

The purpose of this article is to provide the author's perspective on whether it is likely or feasible that those working in the health care domain will adapt and use lessons learned by those in the industrial domain. This article provides some historical perspective on the changes brought about in the industrial domain through the introduction of new technologies, including information technologies. The author discusses how industrialization catalyzed changes in health care delivery that paralleled but lagged behind those of the broader U.S. economy. The article concludes that there is ample reason for those interested in improving the quality and effectiveness of health informatics to systematically evaluate information technology strategies used in the industrial domain. Finally, it outlines some challenges for health informaticians and a number of factors that should be considered in adapting lessons from industry to the health care domain.  (+info)

Personalized health care and business success: can informatics bring us to the promised land? (34/1342)

Perrow's models of organizational technologies provide a framework for analyzing clinical work processes and identifying the management structures and informatics tools to support each model. From this perspective, health care is a mixed model in which knowledge workers require flexible management and a variety of informatics tools. A Venn diagram representing the content of clinical decisions shows that uncertainties in the components of clinical decisions largely determine which type of clinical work process is in play at a given moment. By reducing uncertainties in clinical decisions, informatics tools can support the appropriate implementation of knowledge and free clinicians to use their creativity where patients require new or unique interventions. Outside health care, information technologies have made possible breakthrough strategies for business success that would otherwise have been impossible. Can health informatics work similar magic and help health care agencies fulfill their social mission while establishing sound business practices? One way to do this would be through personalized health care. Extensive data collected from patients could be aggregated and analyzed to support better decisions for the care of individual patients as well as provide projections of the need for health services for strategic and tactical planning. By making excellent care for each patient possible, reducing the "inventory" of little-needed services, and targeting resources to population needs, informatics can offer a route to the "promised land" of adequate resources and high-quality care.  (+info)

Entitlement to military healthcare--limitations of the NHS model. (35/1342)

The Defence Medical Services provide to a British population healthcare services that are funded from taxation and are free at the point of delivery. This paper reviews some principles for determining entitlement to healthcare for the population cared for by the Defence Medical Services. The starting point for entitlement uses the principles under which the National Health Service (NHS) was established. These are then extended to acknowledge the limitations of an NHS model when considering occupational health issues and geographical variations in healthcare provision.  (+info)

Applying a contingency model of strategic decision making to the implementation of smoking bans: a case study. (36/1342)

A model of strategic decision making was applied to study the implementation of worksite smoking policy. This model assumes there is no best way of implementing smoking policies, but that 'the best way' depends on how decision making fits specific content and context factors. A case study at Wehkamp, a mail-order company, is presented to illustrate the usefulness of this model to understand how organizations implement smoking policies. Interview data were collected from representatives of Wehkamp, and pre- and post-ban survey data were collected from employees. After having failed to solve the smoking problem in a more democratic way, Wehkamp's top management choose a highly confrontational and decentralized decision-making approach to implement a complete smoking ban. This resulted in an effective smoking ban, but was to some extent at the cost of employees' satisfaction with the policy and with how the policy was implemented. The choice of implementation approach was contingent upon specific content and context factors, such as managers' perception of the problem, leadership style and legislation. More case studies from different types of companies are needed to better understand how organizational factors affect decision making about smoking bans and other health promotion innovations.  (+info)

Setting up improvement projects in small scale primary care practices: feasibility of a model for continuous quality improvement. (37/1342)

OBJECTIVES: To evaluate the feasibility of a model for continuous quality improvement in small scale general practice and the improvement projects that practices ran after the introduction of continuous quality improvement. DESIGN: A descriptive study. SETTING: Twenty general practices in the Netherlands tested the model in an intervention period of 18 months. INTERVENTION: A model for continuous quality improvement adapted for general practice was introduced into the practices using a structured strategy. Practices were supported by trained facilitators. MAIN OUTCOME MEASURES: Acceptance at introduction and continued application of the model; the topics of improvement projects that were set up in the practices; whether the improvement projects had been completed; whether they had met the criteria (the use of the "quality cycle" and the Oxford audit score); and whether the self set objectives had been met. RESULTS: The model was introduced and accepted in all participating practices. Practices started 51 improvement projects. At the end of the study period 33 improvement projects had been completed. Practices chose a wide variety of objectives for these projects; most of them concerned medical or organisational topics. Practices started projects mainly because the topic was felt to be a problem or was causing a bottleneck in the organisation. The quality cycle was used in all projects, but practices did not always collect data and evaluate the outcomes. Fourteen projects could be discerned as "full audit". No differences existed in the quality of improvement projects among the various types of practice or between the topics addressed. At the end of the study period half of the practices continued applying the model. CONCLUSION: This study showed that the model was feasible for small scale general practice. However, application of the model tended to disintegrate after the facilitator had left the practice. Practices succeeded reasonably well in running improvement projects. Introduction of continuous quality improvement should particularly focus on this. It is suggested that intensive support is necessary to implement and maintain continuous quality improvement in small scale practices.  (+info)

A model for improving coverage policy decisions. (38/1342)

Reasoned and defensible coverage decisions are essential for a fairer and more efficient healthcare system. Because healthcare resources are finite, coverage decisions should be informed by economic evaluations and made from a perspective that attends to the interests of both individuals and the population enrolled in a plan as a whole. Coverage decisions for all healthcare interventions should follow a 2-step procedure that consists of (1) the relatively impartial and objective assessment of an intervention's eligibility for coverage and (2) the distinctively value-laden determination (for which the enrolled population's values and preferences should take priority) to cover, conditionally cover, or not cover an intervention.  (+info)

Workflow analysis and evidence-based medicine: towards integration of knowledge-based functions in hospital information systems. (39/1342)

The large extent and complexity of scientific evidence described in the concept of evidence-based medicine often overwhelms clinicians who want to apply best external evidence. Hospital Information Systems usually do not provide knowledge-based functions to support context-sensitive linking to external information sources. Knowledge-based components need specific data, which must be entered manually and should be well adapted to clinical environment to be accepted by clinicians. This paper describes a workflow-based approach to understand and visualize clinical reality as a preliminary to designing software applications, and possible starting points for further software development.  (+info)

The need for a skills-focussed applied healthcare informatics curriculum. (40/1342)

Experience with Information Systems (IS) staff, interactions with healthcare senior management, and discussions with faculty and students have led us to the conclusions that few healthcare organizations have conceptualized and articulated an optimal organizational role for IS (particularly for IS leadership). In this paper we will describe the multi-polar, often conflicting "expectations" faced by many of today's healthcare IS departments, and define a set of useful and sustainable institutional model roles for IS. Then, we will formulate the set of challenges which IS professionals in these roles must be prepared to address. We will use this to propose a challenge-oriented, skills-based, methodology-focussed curriculum in Applied Healthcare Informatics, and delivery mechanisms that suit potential candidates.  (+info)