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Artificial intelligence applications in the intensive care unit.

OBJECTIVE: To review the history and current applications of artificial intelligence in the intensive care unit. DATA SOURCES: The MEDLINE database, bibliographies of selected articles, and current texts on the subject. STUDY SELECTION: The studies that were selected for review used artificial intelligence tools for a variety of intensive care applications, including direct patient care and retrospective database analysis. DATA EXTRACTION: All literature relevant to the topic was reviewed. DATA SYNTHESIS: Although some of the earliest artificial intelligence (AI) applications were medically oriented, AI has not been widely accepted in medicine. Despite this, patient demographic, clinical, and billing data are increasingly available in an electronic format and therefore susceptible to analysis by intelligent software. Individual AI tools are specifically suited to different tasks, such as waveform analysis or device control. CONCLUSIONS: The intensive care environment is particularly suited to the implementation of AI tools because of the wealth of available data and the inherent opportunities for increased efficiency in inpatient care. A variety of new AI tools have become available in recent years that can function as intelligent assistants to clinicians, constantly monitoring electronic data streams for important trends, or adjusting the settings of bedside devices. The integration of these tools into the intensive care unit can be expected to reduce costs and improve patient outcomes.

Algorithms↗

Back to basics--Part 2: common technology terms.

Technology will continue to change and adapt at a furious pace. Nobody expects nurse executives to be high-tech gurus. However, understanding the general principles behind many of the technological tools today can help.

Computer User Training↗

Biomedical information technology: medicine and health care in the digital future.

Advancements in medicine and health care are being significantly influenced by the exploding information technology developments. The IEEE Transactions on Information Technology in Biomedicine will address the applications and the infrastructure innovations that would harness biomedical and health care programs in the 21st century.

Biomedical Engineering↗

NHSnet in Scottish primary care: lessons for the future.

OBJECTIVE: To evaluate the primary care communications initiative, which introduced NHSnet to primary care in Scotland. DESIGN: Semi-structured telephone interviews, postal questionnaire. SETTING: All 15 Scottish health boards, random sample of 1 in 3 of all Scottish general practices. PARTICIPANTS: Information management and technology managers of health boards, 355 practice managers in the general practices. MAIN OUTCOME MEASURES: Variations between health boards in styles of project management, means of connection to NHSnet, costs to general practices, and training provided. Practices' levels of participation in initiative, initial use of NHSnet, and factors acting as incentives and disincentives to use of NHSnet. RESULTS: 99% of Scottish general practices agreed to participate in initiative. Health boards varied significantly in project management styles (from minimal to total control), the nature of the networks they established (intranets or direct connections), costs to practices (from nothing to pound125 per general practitioner per year), and training provided (from none to an extensive programme). In 56% of practices someone accessed NHSnet at least once a week. Practices varied considerably in amount of internet training received and staff groups targeted and in the intention to provide desktop access to NHSnet through a practice network. CONCLUSION: The initiative has successfully introduced a network that links Scottish general practices, health boards, and hospital trusts. However local variation in this "national" initiative may affect its use in primary care. Health authorities and general practices in England and Wales may wish to note these findings in order to avoid unhelpful variation.

Computer Communication Networks↗

Natural language processing and the representation of clinical data.

OBJECTIVE: Develop a representation of clinical observations and actions and a method of processing free-text patient documents to facilitate applications such as quality assurance. DESIGN: The Linguistic String Project (LSP) system of New York University utilizes syntactic analysis, augmented by a sublanguage grammar and an information structure that are specific to the clinical narrative, to map free-text documents into a database for querying. MEASUREMENTS: Information precision (I-P) and information recall (I-R) were measured for queries for the presence of 13 asthma-health-care quality assurance criteria in a database generated from 59 discharge letters. RESULTS: I-P, using counts of major errors only, was 95.7% for the 28-letter training set and 98.6% for the 31-letter test set. I-R, using counts of major omissions only, was 93.9% for the training set and 92.5% for the test set.

Diagnosis, Computer-Assisted↗

Mobile medical computing driven by the complexity of neurologic diagnosis.

Medical computing has been split between palm-sized computers optimized for mobility and desktop computers optimized for capability. This split was due to technology too immature to deliver both mobility and capability in the same computer and the lack of medical software that demanded both mobility and capability. Advances in hardware and software are ushering in an era in which fully capable computers will be available ubiquitously. As a result, medical practice, education and publishing will change. Medical practice will be improved by the use of software that not only assists with diagnosis but can do so at the bedside, where the doctor can act immediately upon suggestions such as useful findings to check. Medical education will shift away from a focus on details of unusual diseases and toward a focus on skills of physical examination and using computerized tools. Medical publishing, in contrast, will shift toward greater detail: it will be increasingly important to quantitate the frequency of findings in diseases and their time course since such information can have a major impact clinically when added to decision support software.

Child↗

Wireless technology infrastructures for authentication of patients: PKI that rings.

As the public interest in consumer-driven electronic health care applications rises, so do concerns about the privacy and security of these applications. Achieving a balance between providing the necessary security while promoting user acceptance is a major obstacle in large-scale deployment of applications such as personal health records (PHRs). Robust and reliable forms of authentication are needed for PHRs, as the record will often contain sensitive and protected health information, including the patient's own annotations. Since the health care industry per se is unlikely to succeed at single-handedly developing and deploying a large scale, national authentication infrastructure, it makes sense to leverage existing hardware, software, and networks. This report proposes a new model for authentication of users to health care information applications, leveraging wireless mobile devices. Cell phones are widely distributed, have high user acceptance, and offer advanced security protocols. The authors propose harnessing this technology for the strong authentication of individuals by creating a registration authority and an authentication service, and examine the problems and promise of such a system.

Cell Phone↗

The digital transformation of oral health care. Teledentistry and electronic commerce.

BACKGROUND: Health care is being changed dramatically by the marriage of computers and telecommunications. Implications for hospitals and physicians already have received extensive media attention, but comparatively little has been said about the impact of information technology on dentistry. This article illustrates how the digital transformation will likely affect dentists and their patients. CONCLUSIONS: Based on recent experiences of hospitals and medical practices, dentists can expect to encounter revolutionary changes as a result of the digital transformation. The Internet, the World Wide Web and other developments of the information revolution will redefine patient care, referral relationships, practice management, quality, professional organizations and competition. PRACTICE IMPLICATIONS: To respond proactively to the digital transformation of oral health care, dentists must become familiar with its technologies and concepts. They must learn what new information technology can do for them and their patients and then develop creative applications that promote the profession and their approaches to care.

Computer Security↗

Interactive telemedical applications in OP 2000 via satellite.

Using off-the-shelf hardware components and a specially developed high-end software communication system (WinVicos) satellite networks for interactive telemedicine have been designed and developed. These networks allow for various telemedical applications, like teleteaching, telementoring, intraoperative teleconsultation, second opinioning, etc.. Based on the successful GALENOS network, several projects are currently being realized: MEDASHIP (Medical Assistance for Ships); DELTASS (Disaster Emergency Logistic Telemedicine Advanced Satellites Systems) and EMISPHER (Euro-Mediterranean Internet-Satellite Platform for Health, medical Education and Research).

Computer Communication Networks↗

Towards ethical guidelines for dealing with unsolicited patient emails and giving teleadvice in the absence of a pre-existing patient-physician relationship systematic review and expert survey.

BACKGROUND: Many health information providers on the Internet and doctors with email accounts are confronted with the phenomenon of receiving unsolicited emails from patients asking for medical advice. Also, a growing number of websites offer "ask-the-doctor" services, where patients can ask questions to health professionals via email or other means of telecommunication. It is unclear whether these types of interactions constitute medical practice, and whether physicians have the ethical obligation to respond to unsolicited patient emails. OBJECTIVE: To improve the quality of online communication between patients and health professionals (physicians, experts) in the absence of a pre-existing patient-physician relationship or face-to-face communication, by preparing a set of guiding ethical principles applicable to this kind of interaction. METHODS: Systematic review of the literature, professional, and ethical codes; and consultation with experts. RESULTS: Two different types of patient-physician encounters have to be distinguished. "Traditional" clinical encounters or telemedicine applications are called "Type B" interactions here (Bona fide relationship). In comparison, online interactions lack many of the characteristics of bona fide interactions; most notably there is no pre-existing relationship and the information available to the physician is limited if, for example, a physician responds to the email of a patient who he has never seen before. I call these "Type A" consultations (Absence of pre-existing patient-physician relationship). While guidelines for Type B interactions on the Internet exist (Kane, 1998), this is not the case for Type A interactions. The following principles are suggested: Physicians responding to patients' requests on the Internet should act within the limitations of telecommunication services and keep the global nature of the Internet in mind; not every aspect of medicine requires face-to-face communication; requests for help, including unsolicited patient questions, should not be ignored, but dealt with in some appropriate manner; informed consent requires fair and honest labeling; health professionals and information providers must maintain confidentiality; health professionals should define internal procedures and perform quality control measures. CONCLUSIONS: Different media are appropriate at each point on the continuum between dispensing general health information and handling patient problems that would require the practice of medicine to solve. For example, email is a sufficiently capable medium for giving out general health information, while diagnosis and treatment usually requires at least advanced telemedical technology. Patients have to be educated that it is unethical to diagnose and treat over the Internet in the absence of a pre-existing patient-physician relationship, and if the interaction is limited to a single email. More research is needed to establish more evidence regarding situations in which teleadvice is beneficial and efficient.

Humans↗

The patient physician relationship in the Internet age: future prospects and the research agenda.

In the "Internet Age," physicians and patients have unique technological resources available to improve the patient physician relationship. How they both utilize online medical information will influence the course of their relationship and possibly influence health outcomes. The decision-making process may improve if efforts are made to share the burden of responsibility for knowledge. Further benefits may arise from physicians who assist patients in the information-gathering process. However, further research is necessary to understand these differences in the patient physician relationship along with their corresponding effects on patient and physician satisfaction as well as clinical outcomes.

Decision Making, Computer-Assisted↗