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e-Health Ethics Draft Code (Feb 18).

The Internet is changing how people receive health information and health care. All who use the Internet for health-related purposes must join together to create an environment of trusted relationships to assure high quality information and services; protect privacy; and enhance the value of the Internet for both consumers and providers of health information, products, and services. The goal of the "e-Health Code of Ethics" is to ensure that all people worldwide can confidently, and without risk, realize the full benefits of the Internet to improve their health. The draft code, presented in this paper, has been prepared as a result of the "eHealth Ethics Summit," which convened in Washington DC on 31 January 2000 - 2 February 2000, organized by the Internet Healthcare Coalition and hosted by the World Health Organisation/Pan-American Health Organisation (WHO/PAHO), and attended by a panel of about 50 invited experts from all over the world. It sets forth guiding principles under five main headings: candor and trustworthiness; quality; informed consent, privacy, and confidentiality; best commercial practices; and best practices for provision of health care on the Internet by health care professionals.

Computer Communication Networks↗

e-Health Code of Ethics (May 24).

The Internet is changing how people receive health information and health care. All who use the Internet for health-related purposes must join together to create an environment of trusted relationships to assure high quality information and services; protect privacy; and enhance the value of the Internet for both consumers and providers of health information, products, and services. The goal of the e-Health Code of Ethics is to ensure that people worldwide can confidently and with full understanding of known risks realise the potential of the Internet in managing their own health and the health of those in their care. The final e-Health Code of Ethics, presented in this paper, has been prepared as a result of the "e-Health Ethics Summit," which convened in Washington DC on 31 January 2000 - 2 February 2000. The summit, organized by the Internet Healthcare Coalition and hosted by the World Health Organisation/Pan-American Health Organisation (WHO/PAHO), was attended by a panel of about 50 invited experts from all over the world and produced the foundation for a draft code, which was released 18 February [1] for an online public consultation period which ended on 14 April 2000. The final Washington e-Health Code of Ethics sets forth guiding principles under eight main headings: candor; honesty; quality; informed consent; privacy; professionalism in online health care; responsible partnering; and accountability.

Ethics, Medical↗

VHA, Inc., introduces new data-collection tool allowing national and regional comparisons in real-time.

VHA, Inc., has rebuilt its online comparative clinical measurement (CCM) tool to help get hospital members on the same page in terms of clinical measurement in real-time. In June, it introduced a new version (CCM 2005) that includes the six new clinical goals or "changes of care" outlined late last year by the Institute for Healthcare Improvement in its 100,000 Lives campaign.

Benchmarking↗

Self-advocacy training for cancer survivors. The Cancer Survival Toolbox.

OBJECTIVES: With the advent of managed healthcare, self-advocacy has been identified as an essential skill for cancer survivors. This article describes a self-advocacy training program, the Cancer Survival Toolbox, developed through a unique collaborative effort by the National Coalition for Cancer Survivorship, the Association of Oncology Social Work, and the Oncology Nursing Society. MATERIALS AND METHODS: Self-advocacy training is provided in audiotape format, as well as through the Internet and in interactive groups. The need for this training was established through surveys completed by 569 cancer survivors and 833 oncology professionals. Essential skills were identified through a literature review, and the content of the training was pilot tested with bicoastal groups of cancer survivors and with feedback from representatives of 15 national cancer organizations. RESULTS: While the majority of the 569 respondents to the survivor survey were highly educated and between the ages of 31 and 60 years, fewer than half reported that when they first received a diagnosis of cancer they were able to communicate their needs effectively, had the skills necessary to make decisions, or were able to negotiate with healthcare providers, insurers, and employers. Results of the survey of professional oncology nurses and social workers also supported the need for self-advocacy training. Fewer than one third of the 833 respondents to the professional survey reported that their patients who had received new diagnoses of cancer had essential self-advocacy skills. CONCLUSIONS: This self-advocacy training program is currently available on audiotape in English and Spanish. It is available in print in Chinese on the Internet. Data from the pilot groups indicate the program effectively addresses the self-advocacy skills of communication, information seeking, problem solving, decision making, and negotiating. Data are currently being collected to assess the efficacy of the audiotape format and the impact of the training on survivors and professionals. Future plans include training oncology professionals to teach these skills and to work collaboratively with survivors in advocacy efforts. Additional programs designed to address the needs of the uninsured as well as older adult and pediatric survivor populations are in development.

Adult↗

Developing an outcomes report card for hospitals: a case study and implementation guidelines.

Except for a few state mandates and dominant business coalitions in selected markets, the provider report card initiative is a voluntary response to a perceived public desire for performance data on healthcare providers. This study uses a detailed investigation of a single "typical" case to collect information about one hospital's decision processes and the operational activities required to develop a report card for communicating clinical outcomes and financial indicators to its external stakeholders. Three research questions are addressed: How did the organization identify who its key stakeholders for outcomes information were? How were the stakeholders' outcomes information needs determined? What were the stakeholders' information needs and preferred reporting formats? The research findings are reported as a case study. A general model for developing and implementing a report card for public dissemination is proposed. Crucial steps include: Hospital leaders should define the intent of the report card and identify key performance domains. Stakeholders' needs, desires, and intended use of the information should be explored when determining the format of the report card. External validation of the information presented should be obtained. The report should be made available through several mediums including direct mailing, print media, and the Internet. Usefulness of the information included in the report card should be continually evaluated. The outcomes report card can be useful to organizations and their stakeholders in many ways. They provide information about clinical outcomes, cost-effectiveness, and organizational performance in an era when healthcare organizations are competing for marketshare and consumers are demanding to be informed about their healthcare providers.

Alabama↗

A genetics course for advanced clinical nursing practice.

PURPOSE: To describe a genetics course for advanced clinical nursing practice. BACKGROUND: The Human Genome Project is yielding new discoveries in genetics. The sheer volume of new information threatens to overwhelm healthcare providers as they must find ways to interpret and use these discoveries. DESCRIPTION OF PROJECT: The course was developed in recognition of the fact that graduate nursing students in advanced practice programs need to understand and apply genetic information in the care of their patients. The course builds on core competencies identified by the National Coalition for Health Professional Education in Genetics and the International Society of Nurses in Genetics. OUTCOMES: Students demonstrate that they can access, evaluate, and synthesize current information on a genetic condition and develop a comprehensive plan of care for patients with the selected condition. INTERPRETATION/CONCLUSION: Students learn basic and applied genetic concepts and skills. They are able to utilize resources appropriately to identify patient care needs and develop strategies for meeting those needs. IMPLICATIONS FOR NURSING PRACTICE: The need to remain current in understanding emerging technologies and genetic information will continue to grow as scientific discoveries are made that affect greater numbers of the public. Nurses in advanced practice are in a position to support patients and their families as they deal with the significance of these discoveries for their current and future health.

Curriculum↗

Ontology-based knowledge repository support for healthgrids.

Healthgrids unite a large amount of independent and distributed organisations to provide for various healthcare services. Often the involved organisations can belong to different areas of healthcare and even different countries. However to achieve efficient operation they have to act in a well coordinated manner. As a result, an efficient knowledge sharing between multiple participating parties of the healthgrid is required. The paper describes application of an earlier developed ontology-driven KSNet (Knowledge Source Network) - approach to knowledge repository support for healthgrids. This approach is based on representation of knowledge via ontologies using formalism of object-oriented constraint networks. Such representation makes it possible to define and solve various tasks from the areas of management, planning, configuration, etc., by using constraint solving engines such as, for instance, ILOG or CLP. The major discussed aspects cover the formalism of knowledge representation via ontologies and implementation of the approach as a decision support system for a case study from the area of health service logistics.

Artificial Intelligence↗