Surviving mergers & acquisitions.

Diane L Dixon

PubMed · 11942094

Surviving mergers & acquisitions.

Abstract

Mergers and acquisitions are never easy to implement. The health care landscape is a minefield of failed mergers and uneasy alliances generating great turmoil and pain. But some mergers have been successful, creating health systems that benefit the communities they serve. Five prominent leaders offer their advice on minimizing the difficulties of M&As.

Explore related subjects

Guidelines as Topic Health Facility Merger Leadership Organizational Innovation Organizational Objectives United States Journal Article

Keep this discovery

Explore connections, maps & timelines

BibTeX RIS

Diane L Dixon. Surviving mergers & acquisitions.. https://pubmed.ncbi.nlm.nih.gov/11942094/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2006

Extending basic principles of measurement models to the design and validation of Patient Reported Outcomes.

A recently published article by the Scientific Advisory Committee of the Medical Outcomes Trust presents guidelines for selecting and evaluating health status and health-related quality of life measures used in health outcomes research. In their article, they propose a number of validation and performance criteria with which to evaluate such self-report measures. We provide an alternate, yet complementary, perspective by extending the types of measurement models which are available to the instrument designer. During psychometric development or selection of a Patient Reported Outcome measure it is necessary to determine which, of the five types of measurement models, the measure is based on; 1) a Multiple Effect Indicator model, 2) a Multiple Cause Indicator model, 3) a Single Item Effect Indicator model, 4) a Single Item Cause Indicator model, or 5) a Mixed Multiple Indicator model. Specification of the measurement model has a major influence on decisions about item and scale design, the appropriate application of statistical validation methods, and the suitability of the resulting measure for a particular use in clinical and population-based outcomes research activities.

Guidelines as Topic↗

PubMed2006

International guidance on the establishment of quality assurance programmes for radioactivity measurement in nuclear medicine.

A new guidance document for the implementation of quality assurance (QA) programmes for nuclear medicine radioactivity measurement, produced by the International Atomic Energy Agency, is described. The proposed programme is based on the principles of ISO 17025 and will enable laboratories, particularly in developing countries, to provide consistent, safe and effective radioactivity measurement services to the nuclear medicine community.

Guidelines as Topic↗

PubMed2006

A cautionary tale.

Explore the source record for details and available documents.

Guidelines as Topic↗