Where does informatics fit in health care organizations?

Why is medical informatics important to health care leaders? As an emerging science, informatics focuses on applying computing and communication technology to decision making for clinicians and managers. It enhances the understanding of how information and communication systems can impact the work health care managers must accomplish. As the cost of technology for digital information management continues to decline, organizations and individuals will look for ways to offset the human costs of managing and conveying information. The way of the paper medical record is being replaced by the less expensive and more efficient digital information systems. Leaders of health care organizations need to look for every opportunity to deploy networks and computers to reduce the labor costs of data collection, storage, retrieval, and analysis.     

Can you communicate cross-generationally?

What is fractured cross-generational communication? When what one person heard was not what the other person said. Regardless of your age, you need to understand some of the differences in communication styles that must be overcome if people are to work well together. This is especially important in health care right now when there are other pressing issues. Interpreters are at a premium because so much misunderstanding clouds the communication process. Two management strategies are presented that will help bridge the gaps between communication styles.     

Acing the 'chemistry' test

With the right boss, you can go far and learn much. The wrong boss could actually slow or even stall your executive career. When you interview for a job, you're also interviewing for a boss--and it's in your own interest to try to find the individual who is the best possible fit with your own management style. This is a matching process--not quite a courtship, but with some of the same characteristics. What can you do to ensure a good match with your new boss? (1) Do your homework; (2) Make your interview a dialog; (3) Use subtle strategies, too, such as watching for body language; (4) Ask the employer for references; and (5) Know yourself.     

Haunts on the Web for physician executives

Listed here are some medical management and health care related Web sites on the Internet worth visiting, as well as favorite search engines and how to use them. From health care systems and hospitals, to health plans and insurers, the industry is using Web technology to promote programs and outcomes, and to provide information on health and wellness.     

How could I have gotten it wrong?

Can you avoid ending up in a career-denting job: Are there potential pitfalls to recognize on the search for a rewarding position? Finding oneself in an impossible job, working for a boss who brings out your worst qualities and deepest insecurities, or joining an organization that is doomed are nightmare scenarios. How do these judgment errors happen? We asked physicians who've been there and, unfortunately, done just that. What they learned might help the rest of us skip the experience.     

Mixed estimation of old-age mortality

"Section 2 will first extend the method of mixed estimation to maximum likelihood estimation in general. Then, we will review generalized linear models with logistic and Poisson regressions as examples. In Section 3 we discuss different approaches for formulating the auxiliary information in practice. Section 4 first reviews the method of Coale and Kisker, provides empirical estimates for it, and then proceeds with the mixed estimation variant. In Section 5 we apply the methods to the estimation of mortality at ages 80+ in Finland in 1980-1993. We will first consider the evidence for mortality crossover between males and females....Then we will estimate life expectancies at age 100." (EXCERPT)     

Ability, disability, and the oldest old

A measure of range of ability is used to profile the 85-years-old-and-older (oldest old) population, including the highly disabled institutional population. This new measure uses two new questions available in the 1990 Decennial Census concerning a self-care limitation and a mobility limitation as well as the usual question concerning a work limitation. In addition to examining the extent of disability among the oldest old, the article examines the extent of care potentially available in the household as well as the economic characteristics of this age group. It is also profiled in terms of relevant personal characteristics, including age, gender, marital status, race, ethnicity, rural residence, education, and employment. A key question addressed is the need for help or care among the oldest old and how various long-term care proposals would meet such needs. A careful analysis of this unique and growing population is necessary to both allay fears of the cost of care or help as well as to dispel stereotypes of this age group as frail and dependent, and in need of institutional care.     

Unjust Freedom: The Ethics of Client Self-Determination in Runaway Youth Shelters

Client self-determination has been called the most confounding and professionally debilitating concept of all the intellectual principles under-girding social work (Rothman, 1989). Identifying the appropriate parameters of client self-determination is a particularly acute problem for social workers employed by runaway and homeless youth shelters where minors are making adult decisions free from parental guidance. We examine the ethical dimensions of practice with minor clients in runaway shelters by arguing that a conflict exists between the liberty-based principle of self-determination and the justice-based notion of client competency. We analyze the conflict by using minimal distributive justice as the organizing principle of social work practice. We conclude that client self-determination in runaway shelters should be restricted and that presuming client competence violates the basic value tenets of the profession.     

Validating quality indicators. Quality as relationship between structure, process, and outcome

Theory and research have not kept pace with the growing interest in evaluating quality of mental health care, resulting in the use of unvalidated quality indicators. A framework for validating quality indicators is offered by which quality is viewed as the relationship between service structures, processes, and outcomes. Adoption of this framework will facilitate the measurement of quality using valid indicators and should be useful to agencies in their continuous quality improvement efforts. Valid information about the quality of mental health care services will help purchasers and consumers make more informed health care decisions.