Using Electronic Health Records and Data Warehouse Collaboratively in Community Health Centers

被引:0
|
作者
Zeng, Xiaoming [1 ]
Forrestal, Elizabeth J. [1 ]
Cellucci, Leigh W. [1 ]
Kennedy, Michael H. [1 ]
Smith, Doug [2 ]
机构
[1] East Carolina Univ, Greenville, NC 27858 USA
[2] Community Partners HealthNet Inc, Snow Hill, NC 28580 USA
关键词
Business Intelligence; Community Health Center (CHC); Data Warehouse; Economy of Scale; Electronic Health Record; Health-Center-Controlled Network (HCNN); Scalable; Succession Planning; Transformational Leadership;
D O I
10.4018/jcit.2013100104
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The organization Community Partners HealthNet (CPH), Inc.is a so-called Health-Center-Controlled Networks (HCCNs) that provide health information technologies, in particular Electronic Health Records and Data Warehouse, to participating community health centers (CHC) and rural health clinics (RHC). All 16 member organizations (CHCs and RHCs) in CPH are non-profit health care organizations providing primary health care to individuals in medically underserved areas. To provide quality and accessible health care to those medically needed, CPH and member organization rely heavily on funding from federal and state governments as well as charitable foundations. The investment in system-wide Health Information Technologies has been financially limited given the nature of the organizations. CPH and member organizations, through visionary leadership and cost-effective execution, have been able to adopt and implement advanced information technologies like EHR and data warehouse since early 1990s. There has been software updates and EHR upgrades, but the original design of the system still serve the information needs of the organization. This case study describes CPH in the health care environment, discusses the collaboration of six original individual CHCs to create CPH, the EHR and Data Warehouse projects at CPH, and then explains CPH's on-going operations and new challenges in the context of meaningful use and big data movement.
引用
收藏
页码:45 / 62
页数:18
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