Legislative Proposals to Promote Electronic Health Records and a Smarter Information System

Legislative Proposals to Promote Electronic Health Records and a Smarter Information System PDF Author: United States. Congress. House. Committee on Energy and Commerce. Subcommittee on Health
Publisher:
ISBN:
Category : Medical
Languages : en
Pages : 200

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Legislative Proposals to Promote Electronic Health Records and a Smarter Information System

Legislative Proposals to Promote Electronic Health Records and a Smarter Information System PDF Author: United States. Congress. House. Committee on Energy and Commerce. Subcommittee on Health
Publisher:
ISBN:
Category : Medical
Languages : en
Pages : 200

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Book Description


Better Health Information System Act of 2006

Better Health Information System Act of 2006 PDF Author: United States. Congress. House. Committee on Energy and Commerce
Publisher:
ISBN:
Category : Medical care
Languages : en
Pages : 64

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Better Health Information System Act of 2006, July 26, 2006, 109-2 House Report No. 109-601, Part 1

Better Health Information System Act of 2006, July 26, 2006, 109-2 House Report No. 109-601, Part 1 PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 64

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Report on the Activity of the Committee on Energy and Commerce for the ... Congress

Report on the Activity of the Committee on Energy and Commerce for the ... Congress PDF Author: United States. Congress. House. Committee on Energy and Commerce
Publisher:
ISBN:
Category : Energy policy
Languages : en
Pages : 328

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United States Congressional Serial Set, Serial No. 15059, House Reports Nos. 592-614

United States Congressional Serial Set, Serial No. 15059, House Reports Nos. 592-614 PDF Author:
Publisher: Government Printing Office
ISBN:
Category :
Languages : en
Pages : 862

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The Computer-Based Patient Record

The Computer-Based Patient Record PDF Author: Committee on Improving the Patient Record
Publisher: National Academies Press
ISBN: 030957885X
Category : Medical
Languages : en
Pages : 257

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Book Description
Most industries have plunged into data automation, but health care organizations have lagged in moving patients' medical records from paper to computers. In its first edition, this book presented a blueprint for introducing the computer-based patient record (CPR). The revised edition adds new information to the original book. One section describes recent developments, including the creation of a computer-based patient record institute. An international chapter highlights what is new in this still-emerging technology. An expert committee explores the potential of machine-readable CPRs to improve diagnostic and care decisions, provide a database for policymaking, and much more, addressing these key questions: Who uses patient records? What technology is available and what further research is necessary to meet users' needs? What should government, medical organizations, and others do to make the transition to CPRs? The volume also explores such issues as privacy and confidentiality, costs, the need for training, legal barriers to CPRs, and other key topics.

A Smarter National Surveillance System for Occupational Safety and Health in the 21st Century

A Smarter National Surveillance System for Occupational Safety and Health in the 21st Century PDF Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309462991
Category : Medical
Languages : en
Pages : 319

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Book Description
The workplace is where 156 million working adults in the United States spend many waking hours, and it has a profound influence on health and well-being. Although some occupations and work-related activities are more hazardous than others and face higher rates of injuries, illness, disease, and fatalities, workers in all occupations face some form of work-related safety and health concerns. Understanding those risks to prevent injury, illness, or even fatal incidents is an important function of society. Occupational safety and health (OSH) surveillance provides the data and analyses needed to understand the relationships between work and injuries and illnesses in order to improve worker safety and health and prevent work-related injuries and illnesses. Information about the circumstances in which workers are injured or made ill on the job and how these patterns change over time is essential to develop effective prevention programs and target future research. The nation needs a robust OSH surveillance system to provide this critical information for informing policy development, guiding educational and regulatory activities, developing safer technologies, and enabling research and prevention strategies that serves and protects all workers. A Smarter National Surveillance System for Occupational Safety and Health in the 21st Century provides a comprehensive assessment of the state of OSH surveillance. This report is intended to be useful to federal and state agencies that have an interest in occupational safety and health, but may also be of interest broadly to employers, labor unions and other worker advocacy organizations, the workers' compensation insurance industry, as well as state epidemiologists, academic researchers, and the broader public health community. The recommendations address the strengths and weaknesses of the envisioned system relative to the status quo and both short- and long-term actions and strategies needed to bring about a progressive evolution of the current system.

CIS Annual

CIS Annual PDF Author:
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 672

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Incorporating Occupational Information in Electronic Health Records

Incorporating Occupational Information in Electronic Health Records PDF Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 0309217431
Category : Medical
Languages : en
Pages : 84

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Book Description
Each year in the United States, more than 4,000 occupational fatalities and more than 3 million occupational injuries occur along with more than 160,000 cases of occupational illnesses. Incorporating patients' occupational information into electronic health records (EHRs) could lead to more informed clinical diagnosis and treatment plans as well as more effective policies, interventions, and prevention strategies to improve the overall health of the working population. At the request of the National Institute for Occupational Safety and Health, the IOM appointed a committee to examine the rationale and feasibility of incorporating occupational information in patients' EHRs. The IOM concluded that three data elements - occupation, industry, and work-relatedness - were ready for immediate focus, and made recommendations on moving forward efforts to incorporate these elements into EHRs.

Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare PDF Author: Adam Bohr
Publisher: Academic Press
ISBN: 0128184396
Category : Computers
Languages : en
Pages : 385

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Book Description
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data