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[A practicable model of a secure electronic medical record system].

In this article, a new application model has been given for digital signing technology used in the Electronic Medical Record system, which uses digital signature to implement authentication mechanism and doctor signing, and uses a notarial digital signature server to implement the third party's digital signature for notarial mechanism. It can prevent the others from modifying the doctor's record and prevent the doctor himself from modifying the record as well. Case history database preserves signed data to ensure the authenticity and validity, in law, of the Electronic Medical Record.

Computer Security↗

The PING personally controlled electronic medical record system: technical architecture.

Despite progress in creating standardized clinical data models and interapplication protocols, the goal of creating a lifelong health care record remains mired in the pragmatics of interinstitutional competition, concerns about privacy and unnecessary disclosure, and the lack of a nationwide system for authenticating and authorizing access to medical information. The authors describe the architecture of a personally controlled health care record system, PING, that is not institutionally bound, is a free and open source, and meets the policy requirements that the authors have previously identified for health care delivery and population-wide research.

Computer Security↗

Oklahoma City and Tulsa Metropolitan Medical Response System.

The tragic loss of lives on September 11 followed by the Anthrax contaminations reinforced the need for work already underway through the Metropolitan Medical Response System (MMRS). Through leadership from the Medical Director for the Medical Control Board and EMSA, Oklahoma City and Tulsa have been the beneficiaries of nearly $1.5 million dollars in funding to prepare for nuclear, chemical or bioterrorism. The two Oklahoma cities were among the second wave of cities invited in 1999 to participate in the federally funded program for Metropolitan Medical Response. Many of the requirements of the contract have already been met under the capable guidance of Michael Murphy, a 23 year paramedic with 12 years of management experience with EMSA. Among the plans completed or underway are a Development Plan, MMRS System Plan, Forward Movement of Patients Plan, Pre-hospital Response Plan, a Biological Incident Plan, a Hospital Response Plan, a Training Plan and an Equipment and Pharmaceutical Plan. Coordinated planning between the two cities bring the added benefit of seamless sharing of personnel between both ends of the turnpike should a disaster impact one rather than both communities.

Civil Defense↗

An automated medical record system for a skilled nursing facility.

This paper reports on the development of an on-line automated medical record system suitable for nursing homes. The software was written in standard MUMPS (Massachusetts General Hospital Utilities Multi-Programming System) and is easy for the first-time user to operate. The data managed by the system may be divided into four major components, including text tables, the hierarchical problem dictionary, the patient admission data, and the care plan data. The system met all of the project's objectives and has been enthusiastically received by the nursing home staff.

Medical Records↗

[Hierarchy in surgery. An antiquated system?].

Medical responsibility and hospital management, competency for resident's training and decision making in therapy are better performed in a system of hierarchy than other kinds of organisation of a surgical department. If all the duties and responsibilities are concentrated to a head of the department, it is also necessary to give him the adequate instruments for leadership, to stay alive.

Curriculum↗

Planning for a library system: Connecticut Regional Medical Program.

A formal medical library system is developing nationally to improve library service, but not all users or even all librarians are alert to the need. The main stimulus seems to come from federal money and from leaders at the top, rather than from the small local library and its user, yet progress depends on participation at all levels. Planning for a state-wide medical library system as part of the Connecticut Regional Medical Program began with a survey of the state's medical library resources, which led to a grant request for operating funds to strengthen reference and inter-library loan service in Connecticut and to begin a training and consultation program for medical librarians in the state. These activities are intended to expand and intensify in Connecticut those back-up services provided for all of New England by the New England regional medical library service at the Countway Library in Boston and also are related to the other Regional Medical Program activities planned for Connecticut.

Connecticut↗

Support of quality and business goals by an ambulatory automated medical record system in Kaiser Permanente of Ohio.

Kaiser Permanente of Ohio has developed a Medical Automated Record System (MARS) to address the business and clinical needs of the organization. The system is currently used by 220 physicians and 110 allied health personnel. To support the quality initiatives of the organization, the system has been programmed to generate reminders, at the moment of care, on compliance with clinical guidelines. This article details examples of compliance improvements with guidelines for the use of aspirin in coronary artery disease, use of influenza vaccinations in members older than 64 years of age, and stratification of asthmatic patients into severity levels; it also summarizes other quality improvements. MARS provides a data stream for electronic billing, which saves the organization the cost of manual billing. In addition, this system reduces operating costs, in particular the number of staff needed to deliver charts and the cost of printing forms. Cost-benefit analysis demonstrates that the system can produce savings in excess of maintenance costs.

Ambulatory Care Information Systems↗

[Automated system of medical examination data processing].

To solve some problems concerning practical and experimental medicine, an automatic system was elaborated for processing the medical examination data. The core of the system is the NAIRY-2 computer. All the problems to be solved were divided into four groups, according to the software management: those, concerned with archival storage and acquisition of data about the patients' state; on formation of visual (graphic) presentation of the data contained in perforated documents; on diagnosis and prognoses, according to clinical and physiological data through the use of an applied program package; and those to be programmed by the user, in accordance with standard and additional software of the NAIRI-2.

Computers↗

[Data structure representation of 3D reconstruction system of medical images and surface model construction].

3D reconstruction from medical images is widely used in diagnose, radiotherapy surgery programming and medical research. This paper deals with the framework and key techniques of 3D reconstruction system of medical images. Methods of automatic and manual segmentation of medical images are designed. Data structure of the system is proposed. The system data are encapsulated in object-oriented paradigm and the hierarchical structure of classes is presented for reconstructing 3D geometry models. The 3D surface geometry model is constructed by using MT algorithm from the tissues extracted by automatic or manual segmentation. An edge collapse algorithm of mesh simplification is proposed and implemented, and the surface model constructed by MT algorithm is simplified by using this algorithm, After reduction of 90 percent triangles, the simplified model still maintains the original feature. It can speed up surface rendering of the models.

Algorithms↗

A voice-enabled, structured medical reporting system.

Kurzweil Applied Intelligence received a research grant from the National Institute of Standards and Technology (NIST) Advanced Technology Program to develop a prototype voice-enabled, structured medical reporting system. In typical usage, the physician dictates to the system, which then uses automatic speech recognition and medical knowledge bases to produce a structured report. This report can then be formatted and viewed on a computer screen, stored in databases of patient information, transmitted to other systems, used to support outcome studies, or viewed on a Web browser. The output reports are structured according to two standard, platform-independent formats: SGML and CORBA. These formats represent the data in a way that can be read by both computers and humans, and efficiently communicated to a wide range of databases and communications protocols.

Information Storage and Retrieval↗

Evaluation of emergency medical services systems: a classification to assist in determination of indicators.

Emergency medical services (EMS) systems, and prehospital care are difficult to evaluate. Accordingly, the true efficacy and value of such systems are difficult to determine. The multitude of variations and combinations of involved factors makes standardisation and comparison difficult, and universal indicators are hard to develop. Various attempts have been made to determine valid indicators of effectiveness, but there has been little success. Prehospital care has been seen by some as a single entity. As a result, experience from well resourced first world trauma centres has been taken, by many, to be applicable to all prehospital situations. This article attempts to assist in the development of valid EMS indicators of performance and effectiveness by categorising prehospital scenarios into a classification reflecting the reality of their conditions of practice.

Delivery of Health Care↗

A quality of care evaluation measure for emergency medical service systems.

This paper presents the development and validation of an emergency medical service (EMS) systems quality of care evaluation measure. The System Input Severity Measure consists of a set of single and multiple injury survival rates that would be expected to occur in an EMS system classified as providing "baseline" advanced life support services. These expected survival rates were developed by a nationwide panel of emergency medicine experts through the use of the Delphi group opinion surveying technique. Validation of the System Input Severity Measure was a twofold process. First, reliability of the results of the Delphi surveying process was validated by comparing the resultant expected survival rates with Illinois Trauma Registry data. Second, the applicability of the measure was validated using data collected in EMS systems generally recognized to be providing exceptional (either superior or inferior) emergency patient care. It was recognized that the development of a comprehensive, large-scale System Input Severity Measure through the use of the Delphi technique alone is impractical. Consequently, a functional relationship between single and multiple injury survival rates was also developed. It appeared that when employed in conjunction with data developed from the Delphi technique, such an approach would make practicable the development of a comprehensive System Input Severity Measure.

Delphi Technique↗

Data security in medical information systems: technical aspects of a proposed legislation.

This paper analyses the results of a recent survey performed among medical establishment personnel in Greece, evaluates information security legislation existing in other countries and incorporates guidelines of international societies to propose principles governing a future legal framework. Furthermore, it presents a design methodology for designing secure information systems and provides an example of the use of this methodology in designing a database oriented secure medical information system with access rights incorporated.

Computer Security↗

A system for medical consultation and education using multimodal human/machine communication.

Recent developments in networking and computing have enabled collaborative biomedical engineering research by geographically separated participants. One of the most promising goals is to use these technologies to extend human intellectual capabilities in medical decision making. These emerging technologies are poised to drastically reduce healthcare cost by providing service at remote locations. This also increases diagnosis capacity since information is made available to experts at any location. In this paper, we propose a novel application of a recently developed interactive and distributed system in medical consultation and education. Our approach builds on the notion that interactive and distributive capabilities of the system are crucial for medical consultation and education. The presented application uses a multiuser, collaborative environment with multimodal human/machine communication in the dimensions of sight, sound, and touch. The experimental setup, consisting of two user stations, and the multimodal interfaces, including sight (eye-tracking), sound (automatic speech), and touch (microbeam pen), were tested and evaluated. The system uses a collaborative workspace as a common visualization space. Users communicate with the application through a fusion agent by eye-tracking, speech, and microbeam pen. The audio/video teleconferencing is also included to help the radiologists to communicate with each other simultaneously while they are working on the mammograms. The system used in this study has three software agents: a fusion agent, a conversational agent, and an analytic agent. The fusion agent interprets multimodal commands by integrating the multimodal inputs. The conversational agent answers the user's questions and detects human-related or semantic errors and notifies the user about the results of the image analysis. The analytic agent enhances the digitized images using the wavelet denoising algorithm if requested by the user. To show how well the system performs in practice, we used the system for medical consultation on mammograms. Results also show that the relevant information about the region of interest (ROI) of the mammograms chosen by the users is extracted automatically and used to enhance the mammograms.

Education, Distance↗