Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Melissa Succi, Lopez"'
Autor:
Melissa Succi Lopez, Zhiping Walter
Publikováno v:
Decision Support Systems. 46:206-215
Physician acceptance of clinical information technology (IT) is important for its successful implementation. We propose that perceived threat to professional autonomy is a salient outcome belief affecting physician acceptance of an IT. In addition, l
Autor:
Glenn Melnick, Melissa Succi Lopez, Nasreen Dhanani, Elizabeth M. Sloss, Feng Zeng, June F O'Leary
Publikováno v:
Medical Care. 44:900-907
Objective: The objective of this study was to estimate the effect of Medicare Health Maintenance Organization (HMO) enrollment on hospitalization rates and total inpatient days for ambulatory care-sensitive conditions (ACSCs) after controlling for se
Publikováno v:
Health Care Management Review. 28:307-318
This study examines the determinants of divestiture in health systems. Financial performance is a common indicator of a hospital's value. However, health systems may consider other factors that influence a hospital's value to the system. To enhance o
Publikováno v:
Managed care interface. 17(12)
Inpatient use among dual Medicare-Medicaid eligible beneficiaries in California Medicare HMOs and fee-for-service plans from 1991 to 1996 was compared, using a unique dataset that links Medicare enrollment data to inpatient discharge data. Dual eligi
Autor:
EPSTEIN, WENDY NETTER1,2,3
Publikováno v:
Southern California Law Review. 2018, Vol. 91 Issue 4, p593-656. 64p.
Publikováno v:
Proceedings & Membership Directory - Academy of Management. 2002, p1-254. 231p.
Publikováno v:
Indian Journal of Public Health Research & Development; Jan2019, Vol. 10 Issue 1, p216-221, 6p
Publikováno v:
Health Care Management Review; Oct-Dec2003, Vol. 28 Issue 4, p307-318, 12p
Autor:
Bigelow, Barbara, Arndt, Margarete
Publikováno v:
Health Care Management Review; Oct-Dec2003, Vol. 28 Issue 4, p291-292, 2p
Autor:
Arvin Agah
Enhanced, more reliable, and better understood than in the past, artificial intelligence (AI) systems can make providing healthcare more accurate, affordable, accessible, consistent, and efficient. However, AI technologies have not been as well integ