Literature DB >> 22397102

Coevolution of patients and hospitals: how changing epidemiology and technological advances create challenges and drive organizational innovation.

Federico Lega1, Stefano Calciolari.   

Abstract

Over the last 20 years, hospitals have revised their organizational structures in response to new environmental pressures. Today, demographic and epidemiologic trends and recent technological advances call for new strategies to cope with ultra-elderly frail patients characterized by chronic conditions, high-severity health problems, and complex social situations. The main areas of change surround new ways of managing emerging clusters of patients whose needs are not efficiently or effectively met within traditional hospital organizations. Following the practitioner and academic literature, we first identify the most relevant clusters of new kinds of patients who represent an increasingly larger share of the hospital population in developed countries. Second, we propose a framework that synthesizes the major organizational innovations adopted by successful organizations around the world. We conclude by substantiating the trends of and the reasoning behind the prospective pattern of hospital organizational development.

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Year:  2012        PMID: 22397102

Source DB:  PubMed          Journal:  J Healthc Manag        ISSN: 1096-9012


  4 in total

1.  Making doctors manage… but how? Recent developments in the Italian NHS.

Authors:  Federico Lega; Marco Sartirana
Journal:  BMC Health Serv Res       Date:  2016-05-24       Impact factor: 2.655

2.  Beyond hybrid professionals: evidence from the hospital sector.

Authors:  Marco Sartirana
Journal:  BMC Health Serv Res       Date:  2019-09-05       Impact factor: 2.655

Review 3.  Leadership and organizational performance: Is it essential in healthcare systems improvement? A review of literature.

Authors:  Nada Moustafa Ibrahim Al-Habib
Journal:  Saudi J Anaesth       Date:  2020-01-06

4.  Profiling the different needs and expectations of patients for population-based medicine: a case study using segmentation analysis.

Authors:  Federico Lega; Alessandro Mengoni
Journal:  BMC Health Serv Res       Date:  2012-12-21       Impact factor: 2.655

  4 in total

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