The case for information fiduciaries: The implementation of a data ethics checklist at Seattle Children's Hospital.

There is little debate about the importance of ethics in health care, and clearly defined rules, regulations, and oaths help ensure patients' trust in the care they receive. However, standards are not as well established for the data professions within health care, even though the responsibility to treat patients in an ethical way extends to the data collected about them. Increasingly, data scientists, analysts, and engineers are becoming fiduciarily responsible for patient safety, treatment, and outcomes, and will require training and tools to meet this responsibility. We developed a data ethics checklist that enables users to consider the possible ethical issues that arise from the development and use of data products. The combination of ethics training for data professionals, a data ethics checklist as part of project management, and a data ethics committee holds potential for providing a framework to initiate dialogues about data ethics and can serve as an ethical touchstone for rapid use within typical analytic workflows, and we recommend the use of this or equivalent tools in deploying new data products in hospitals.

Linking informaticians and end users - using the STARE-HI evaluation reporting framework as a unifying design approach.

There is understandable concern about low uptake and sub-optimal use of health informatics systems, which is often caused by a lack of shared objectives and values by the different stakeholders. Moreover, all parties work to different ethical codes. For future success, all need to work to the same values and objectives, measured by agreed outcomes data, creating robust evidence. The Statement on Reporting of Evaluation Studies in Health Informatics (STARE-HI), by being recently endorsed by IMIA, EFMI and the EQUATOR Network, may therefore provide a generic objectives framework to help achieve common goals.

Physician professionalism for a new century.

During the past 50 years, physicians have become increasingly dissatisfied with certain aspects of their profession. Dissatisfaction has intensified with the advent of managed care in the late 20th century, the medical liability crisis, and the growing divergence between the professional and personal expectations placed upon physicians and their practical ability to meet these expectations. These and other factors have encroached on physician autonomy, the formerly ascendant professional value within medicine. As the underlying values and practical realities of the broader American health care system have changed, the professional values and practices of physicians have failed to adapt correspondingly, resulting in a "professionalism gap" that contributes to physician dissatisfaction. To improve the outlook and efficacy of modern American physicians, the profession must adopt a new values framework that conforms to today's health care system. This means foregoing the 20th century's preferred "independent physician" model in favor of a new professional structure based on teamwork and collaboration. Convincing established physicians to embrace such a model will be difficult, but opportunities exist for significant progress among a new generation of physicians accustomed to the realities of managed care, flexible practice models, and health information technology. The teaching of clinical anatomy, given its incorporation of student collaboration at the earliest stages of medical education, offers a prime opportunity to introduce this generation to a reinvigorated code of professionalism that should reduce physician dissatisfaction and benefit society.

Using computerized medical databases to measure and to improve the quality of intensive care.

This article reviews the potential for using computerized databases to measure the quality of care in the intensive care unit. There are 2 types of computerized databases used to assess quality of care: administrative databases used primarily for purposes other than medical care and electronic medical record databases collected specifically for clinical purposes. Quality of care is a difficult property to measure but is generally assessed along 3 domains: structure, process, and outcome. There are several problems with using computerized medical databases to measure and improve quality of care. Many factors known to be important to measuring the severity of illness and process of care in critically ill patients are not captured in routine administrative databases. The criteria for the ethical use of electronic medical record data for research, clinical care, and quality improvement are identical to those that should be applied to using paper medical records. Standardizing a minimal intensive care unit dataset, identifying and measuring optimal processes of care, and understanding the limits of risk adjusted outcomes are all important steps in the process of the optimal use of computerized databases to study and improve the quality of care in the intensive care unit.