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Intro -- Foreword -- Contents -- Contributors -- 1 Past, Present, and Future Policy and IT Landscape in Public Mental Health Care -- 1.1 Introduction -- 1.2 Mental Health Policy -- 1.3 Information Technology -- 1.4 The Early Years: 1975-1984 -- 1.4.1 Period Hallmarks -- 1.4.2 The Policy Context -- 1.4.3 The IT Context -- 1.5 The Middle Years: 1985-1994 -- 1.5.1 Period Hallmarks -- 1.5.2 The Policy Context -- 1.5.3 The IT Context -- 1.6 The Recent Years (1995-2004) -- 1.6.1 Period Hallmarks -- 1.6.2 The Policy Context -- 1.6.3 The IT Context -- 1.7 The Modern Era (2005-2014) -- 1.7.1 Period Hallmarks -- 1.7.2 The Policy Context -- 1.7.3 The IT Context -- 1.8 The Future (2015 and Beyond) -- References -- 2 Electronic Health Records Technology: Policies and Realities -- 2.1 History -- 2.2 Status/Ongoing Problems -- 2.3 How to Proceed -- 2.4 Decision to Use an EHR -- 2.5 Selection Preparation -- 2.6 Cost Considerations -- 2.7 Selection -- 2.8 Implementation -- 2.8.1 Develop a Work Plan/Staffing -- 2.8.2 Software Addition/Changes -- 2.8.3 Hardware Needs -- 2.8.4 Downtime Procedures/Disaster Recovery -- 2.8.5 Testing -- 2.8.6 Training -- 2.8.7 Conversion/"Go Live" -- 2.9 Post-implementation/Ongoing -- 2.10 Last Thoughts -- References -- 3 Leading Health IT Optimization: A Next Frontier -- 3.1 Organizational Issues and Oversight -- 3.1.1 CMIO Role Morphing: Crossing the Implementation to Optimization Chasm -- Leveraging Your Systems' Capabilities -- Understanding Your Systems' Limitations -- Technology vs. Process: It Is Not Always the EMR's Fault -- 3.1.2 Governing Optimization: Balancing Control with Throughput -- 3.1.3 Major Challenges for the CMIO/Clinical Health IT Leader -- 3.1.4 Clinical Standardization: How Can There Be So Many Experts and Why Do They Never Agree? -- Copy/Paste/Cloning: Doing the Wrong Thing Faster.

Federal legislation (Health Information Technology for Economic and Clinical Health (HITECH) Act) has provided funds to support an unprecedented increase in health information technology (HIT) adoption for healthcare provider organizations and professionals throughout the U.S. While recognizing the promise that widespread HIT adoption and meaningful use can bring to efforts to improve the quality, safety, and efficiency of healthcare, the American Medical Informatics Association devoted its 2009 Annual Health Policy Meeting to consideration of unanticipated consequences that could result with the increased implementation of HIT. Conference participants focused on possible unintended and unanticipated, as well as undesirable, consequences of HIT implementation. They employed an input–output model to guide discussion on occurrence of these consequences in four domains: technical, human/cognitive, organizational, and fiscal/policy and regulation. The authors outline the conference's recommendations: (1) an enhanced research agenda to guide study into the causes, manifestations, and mitigation of unintended consequences resulting from HIT implementations; (2) creation of a framework to promote sharing of HIT implementation experiences and the development of best practices that minimize unintended consequences; and (3) recognition of the key role of the Federal Government in providing leadership and oversight in analyzing the effects of HIT-related implementations and policies.