Subject(s)
Delivery of Health Care/organization & administration , Multi-Institutional Systems/organization & administration , Pharmacy Service, Hospital/organization & administration , Delivery of Health Care/economics , Delivery of Health Care/trends , Humans , Multi-Institutional Systems/economics , Multi-Institutional Systems/trends , Pharmacy Service, Hospital/economics , Pharmacy Service, Hospital/trends , Reimbursement Mechanisms , United StatesABSTRACT
The need for scale and space is accelerating tie-ups between hospital giants.
Subject(s)
Health Facility Merger/trends , Multi-Institutional Systems/trends , Efficiency, Organizational , Organizational Objectives , United StatesABSTRACT
Northwell Health, formerly known as North Shore-Long Island Jewish Health System, continues to pursue aggressive expansion moves throughout the New York City metropolitan area. CEO Michael Dowling is also stepping up the New Hyde Park, N.Y.-based system's investment in startup firms and innovative technologies that are launched in-house. Dave Barkholz, Modern Healthcare's Southern Bureau chief, caught up with Dowling at last month's J.P. Morgan Healthcare Conference in San Francisco. The following is an edited transcript.
Subject(s)
Hospitals, Private , Multi-Institutional Systems , Organizational Affiliation , Biomedical Technology , Multi-Institutional Systems/trends , New York City , Patient Protection and Affordable Care ActSubject(s)
Financial Management, Hospital/trends , Health Facility Merger/economics , Multi-Institutional Systems/economics , Patient Protection and Affordable Care Act/economics , Financial Management, Hospital/legislation & jurisprudence , Financial Management, Hospital/methods , Health Facility Merger/standards , Health Facility Merger/trends , Humans , Multi-Institutional Systems/organization & administration , Multi-Institutional Systems/trends , Patient Protection and Affordable Care Act/standards , United StatesABSTRACT
Key Findings. (1) Hospital network participation from 2007 to 2012 increased in larger hospitals (more than 150 beds), non-government not-for-profit hospitals, and metropolitan hospitals. Network participation changed inconsistently in other types of hospitals. (2) Hospital system affiliation has generally increased in hospitals of all sizes, non-government not-for-profit hospitals, hospitals in all census regions, CAHs, and both metropolitan and nonmetropolitan hospitals. There are notably higher percentages of system affiliation among midsized and large hospitals, investor-owned hospitals, and metropolitan hospitals compared to their counterparts.
Subject(s)
Community Networks/organization & administration , Community Networks/trends , Hospital Administration , Multi-Institutional Systems/organization & administration , Multi-Institutional Systems/trends , Data Collection , Forecasting , Hospitals/classification , Humans , Organizational Affiliation , United StatesSubject(s)
Health Facility Merger/economics , Multi-Institutional Systems/economics , Antitrust Laws , Health Facility Merger/legislation & jurisprudence , Health Facility Merger/trends , Humans , Multi-Institutional Systems/legislation & jurisprudence , Multi-Institutional Systems/trends , United StatesSubject(s)
Centers for Medicare and Medicaid Services, U.S./economics , Health Care Costs , Outcome Assessment, Health Care/economics , Patient Safety/standards , Centers for Medicare and Medicaid Services, U.S./standards , Centers for Medicare and Medicaid Services, U.S./trends , Chief Executive Officers, Hospital , Cost Control/methods , Humans , Length of Stay/economics , Multi-Institutional Systems/economics , Multi-Institutional Systems/organization & administration , Multi-Institutional Systems/trends , Outcome Assessment, Health Care/methods , Patient Admission/economics , Patient Admission/standards , Patient Admission/trends , Patient Protection and Affordable Care Act/economics , Patient Protection and Affordable Care Act/standards , Patient Readmission/economics , Patient Readmission/standards , Patient Safety/economics , Reimbursement Mechanisms/standards , Reimbursement Mechanisms/trends , United StatesABSTRACT
Success factors related to the implementation of change initiatives are well documented and discussed in the management literature, but they are seldom studied in healthcare organizations engaged in multiple strategic change initiatives. The purpose of this study was to identify key success factors related to implementation of change initiatives based on rich qualitative data gathered from health leader interviews at two large health systems implementing multiple change initiatives. In-depth personal interviews with 61 healthcare leaders in the two large systems were conducted and inductive qualitative analysis was employed to identify success factors associated with 13 change initiatives. Results from this analysis were compared to success factors identified in the literature, and generalizations were drawn that add significantly to the management literature, especially to that in the healthcare sector. Ten specific success factors were identified for the implementation of change initiatives. The top three success factors were (1) culture and values, (2) business processes, and (3) people and engagement. Two of the identified success factors are unique to the healthcare sector and not found in the literature on change models: service quality and client satisfaction (ranked fourth of 10) and access to information (ranked ninth). Results demonstrate the importance of human resource functions, alignment of culture and values with change, and business processes that facilitate effective communication and access to information to achieve many change initiatives. The responses also suggest opportunities for leaders of healthcare organizations to more formally recognize the degree to which various change initiatives are dependent on one another.
Subject(s)
Attitude of Health Personnel , Health Facility Administrators , Health Plan Implementation/organization & administration , Hospitals, Pediatric/organization & administration , Multi-Institutional Systems/organization & administration , Economic Competition , Female , Health Plan Implementation/economics , Health Plan Implementation/methods , Hospitals, Pediatric/economics , Hospitals, Pediatric/trends , Humans , Interviews as Topic , Male , Multi-Institutional Systems/economics , Multi-Institutional Systems/trends , Organizational Culture , Organizational Innovation , Qualitative Research , Quality ImprovementSubject(s)
Contract Services/economics , Health Facility Administration/economics , Health Facility Merger/economics , State Medicine/economics , Contract Services/organization & administration , Contract Services/trends , Cost Savings/methods , Health Facility Administration/standards , Health Facility Administration/trends , Health Facility Closure/economics , Health Facility Closure/trends , Health Facility Merger/trends , Humans , Multi-Institutional Systems/economics , Multi-Institutional Systems/organization & administration , Multi-Institutional Systems/trends , Organizational Case Studies , Public-Private Sector Partnerships/economics , Public-Private Sector Partnerships/organization & administration , Public-Private Sector Partnerships/trends , State Medicine/organization & administration , State Medicine/trends , United KingdomSubject(s)
Electronic Health Records/statistics & numerical data , Hospital Mortality/trends , Multi-Institutional Systems/standards , Quality Improvement/standards , Sepsis/mortality , Accidental Falls/mortality , Accidental Falls/prevention & control , Anti-Bacterial Agents/standards , Anti-Bacterial Agents/therapeutic use , Cause of Death , Data Interpretation, Statistical , Delirium/complications , Delirium/etiology , Delirium/mortality , Delirium/prevention & control , Humans , Multi-Institutional Systems/statistics & numerical data , Multi-Institutional Systems/trends , Pennsylvania , Quality Improvement/statistics & numerical data , Sepsis/complications , Sepsis/drug therapy , Time-to-Treatment/standardsSubject(s)
Health Benefit Plans, Employee/organization & administration , Multi-Institutional Systems/organization & administration , Quality Assurance, Health Care/organization & administration , Cost Control/methods , Georgia , Health Benefit Plans, Employee/economics , Health Benefit Plans, Employee/trends , Humans , Models, Economic , Models, Organizational , Multi-Institutional Systems/economics , Multi-Institutional Systems/trends , New Jersey , Pennsylvania , Quality Assurance, Health Care/economics , Quality Assurance, Health Care/trends , Value-Based Purchasing/standards , Value-Based Purchasing/trendsABSTRACT
Memorial Hermann Healthcare System is on an all-out mission to eliminate health care-acquired infections. Despite a bit of physician resistance, the results so far are astonishing.
Subject(s)
Cross Infection/prevention & control , Medical Errors/prevention & control , Multi-Institutional Systems/organization & administration , Patient Safety/standards , Personnel, Hospital/education , Quality of Health Care/organization & administration , Blood Transfusion/standards , Blood Transfusion/trends , Humans , Inservice Training/methods , Multi-Institutional Systems/economics , Multi-Institutional Systems/trends , Organizational Case Studies , Quality of Health Care/economics , Quality of Health Care/trends , Reimbursement Mechanisms/standards , Reimbursement Mechanisms/trends , TexasSubject(s)
Medical Informatics/standards , Multi-Institutional Systems/standards , Delaware , Humans , Information Dissemination/methods , Medical Informatics/organization & administration , Medical Informatics/trends , Multi-Institutional Systems/organization & administration , Multi-Institutional Systems/trends , Organizational Case Studies , PennsylvaniaABSTRACT
KEY FINDINGS: In 2010, only 17% of residential care communities in the United States used electronic health records. Residential care communities that used electronic health records were more likely to be larger, not-for-profit, chain-affiliated, colocated with another care setting, and in a nonmetropolitan statistical area. The types of information most commonly tracked electronically by residential care communities that used electronic health records were medical provider information, resident demographics, individual service plans, and lists of residents' medications and active medication allergies. Four in 10 residential care communities that used electronic health records also had support for electronic exchange of health information with service providers; nearly 25% could exchange with pharmacies, and 17% could exchange with physicians.
Subject(s)
Electronic Health Records/statistics & numerical data , Long-Term Care/trends , Residential Facilities/trends , Electronic Health Records/trends , Health Care Surveys , Humans , Information Dissemination/methods , Long-Term Care/organization & administration , Long-Term Care/statistics & numerical data , Medical Record Linkage , Multi-Institutional Systems/trends , Residential Facilities/organization & administration , Residential Facilities/statistics & numerical data , United StatesABSTRACT
Squeezed by coordinated-care initiatives, a number of hospital systems are looking to help fill beds and reap more revenue by offering insurance plans on the state exchanges set to launch this fall. Some will use narrow networks, a strategy that allows systems to create a captive customer base. "I think it's going to be a huge growth area in the exchanges," says Jonathan Gruber, left, a professor of economics at MIT.