PubMed Health⌕ Search

PubMed · 11299912

Rebuilding morale after downsizing.

Abstract

Motivating employees is one of a manager's most important roles, but it is a challenge in today's shifting health-care market. Decreasing funding and a changing patient population are forcing hospitals to either cut costs or go out of business. In such a tense environment, the possibility of layoffs continually looms over our heads. Whether your laboratory is contemplating job cuts or you already have been through them, you know there is no worse threat to employee morale. A March 1996 Strategic Management survey reported that poor morale is the worst human resource problem among 81% of 691 U.S. hospitals. Ronald Henkoff said it best in the January 1994 issue of Fortune Magazine: "A distressing 80% of downsizers admit that the morale of the remaining employees has been mugged. These sullen, dispirited, hunkered-down folks, lest we forget, are the very people who are supposed to revitalize our enterprise and delight our customers." Many times, when we focus on cost constraints and customer service, we overlook what we might do to improve trust among our staff. Rather than letting bad feelings run their course after 1999 job cuts, we decided to intervene. We developed new management tools and recovery interventions at Children's Medical Center to ward off discontent after the changes.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

H Jones. Rebuilding morale after downsizing.. https://pubmed.ncbi.nlm.nih.gov/11299912/

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

KEEP EXPLORING

Related citations

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans↗

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans↗

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans↗