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Diagnostic error may be the largest unaddressed patient safety concern in the United States, responsible for an estimated 40,000-80,000 deaths annually. With the electronic health record (EHR) now in near universal use, the goal of this narrative review is to synthesize evidence and opinion regarding the impact of the EHR and health care information technology (health IT) on the diagnostic process and its outcomes. We consider the many ways in which the EHR and health IT facilitate diagnosis and improve the diagnostic process, and conversely the major ways in which it is problematic, including the unintended consequences that contribute to diagnostic error and sometimes patient deaths. We conclude with a summary of suggestions for improving the safety and safe use of these resources for diagnosis in the future.

We compare health information technology (IT) in the Department of Veterans Affairs (VA) to norms in the private sector, and we estimate the costs and benefits of selected VA health IT systems. The VA spent proportionately more on IT than the private health care sector spent, but it achieved higher levels of IT adoption and quality of care. The potential value of the VA's health IT investments is estimated at $3.09 billion in cumulative benefits net of investment costs. This study serves as a framework to inform efforts to measure and calculate the benefits of federal health IT stimulus programs.

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Conducting and producing a meaningful Community Health Assessment (CHA) is an important and essential public health service and a mandatory biennial activity for New York State's (NYS) Local Health Departments. The Assessment Initiative project has allowed the NYS Department of Health to better understand and identify strategies to strengthen CHAs and to develop training, education, and technical assistance programs. The Assessment Initiative project has benefited from participation, coordination, and sharing of resources and expertise with other community health improvement initiatives in NYS, including those that emphasize collaborative approaches to health improvement, workforce development, and expanding access to data.

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