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At least 217 records · Page 12Linked to original sources

HELP the next generation: a new client-server architecture.

A new client-server based system which is centered around a lifetime data repository (LDR) is under construction. The goal of the new system is to maintain the patient centered decision support aspects of the existing HELP* system while providing an open architecture that supports faster application development and allows execution of applications to be distributed across many computers. These goals are achieved by implementing the system with software components that are commercially available or by adhering to national and international standards for software integration. Keys to successful integration include the use of MS-DOS @, OS/2#, and UNIX Section as operating systems, Microsoft OLE 2.0 as a standard interface to the clinical database, the use of TUXEDO as a transaction/communication manager, and the use of ORACLE [symbol: see text] RDBMS as the underlying database management system.

Computer Communication Networks↗

Collaborative Social and Medical Service System.

This paper describes the Collaborative Social and Medical Services System, a robust information infrastructure for integrated social and medical care. The Collaborative Social and Medical Services System design and architecture address the primary goals of creating a readily extensible social and ambulatory care system. Our initial step toward reaching this goal is the delivery of an application supporting the operations of the Baylor Teen Health Clinics. This paper discusses our prototype experiences, system architecture, components, and the standards we are addressing.

Adolescent↗

[The computerized clinical record: merely an academic discussion or an essential technology?].

The publication of the results of a study on improving patient records, recently completed by the Institute of Medicine of the National Academy of Sciences, in the United States, where it was concluded that the Computer-Based Patient Record (CPR) was an essential technology for health care, witnesses the importance and expectations that patients, physicians and other health care professionals, hospital administrators and health systems managers, place on forms of management of clinical information that are more accurate, complete and efficient than what is possible with current methods. A large amount of work is in order, to develop standards for sharing clinical data between clinical information systems and for representing medical terminology and knowledge, to create legislation regarding data protection in CPR, and for the preparation of health care professionals for the information and technological demands of the future. Recent developments in database integration, and the experience of several CPR systems developed at academic institutions, have led to the progressive delineation of the architecture of modern CPR systems.

Computer Security↗

Quality assurance responsibilities as defined by the EPA Good Automated Laboratory Practices (GALPs).

In December 1990, the Environmental Protection Agency's (EPA) Office of Information Resources Management (OIRM) issued a draft of the Good Automated Laboratory Practices (GALP). The GALPs developed from a union of existing Federal and EPA regulations and policies, including: the Federal Insecticide, Fungicide and Rodenticide Act (FIFRA) & Toxic Substance Control Act (TSCA), Good Laboratory Practices (GLP), the EPA Information Resources Management Policy (IRMP), and the Computer Security Act of 1987. The GALPs consolidate the regulations and policies to provide a single source of reference, and sever as an extension of the GLP standards (40 CFR 160 & 792). Whereas the GLPs describe acceptable laboratory management practices, the GALPs describe acceptable automated data management practices, and give guidance for standardizing and implementing procedures to ensure the quality and integrity of automated data collection and storage. The GALPs have been formatted to parallel the structure of the GLPs. Just as the GLPs define the responsibilities of the Quality Assurance Unit (QAU) in maintaining good laboratory practices, the GALPs define the responsibilities of the QAU in maintaining good automated data practices. The QAU is charged with (i) maintaining copies of written procedures for the automated data collection system, (ii) performing inspections of laboratory operations utilizing the automated data collection system and reporting findings, (iii) ensuring authorization and documentation of deviations from written procedures, (iv) auditing data and reports from the automated data collection system to ensure they accurately represent the raw data, and (v) maintaining records of the above-defined QAU functions.(ABSTRACT TRUNCATED AT 250 WORDS)

Clinical Laboratory Information Systems↗

[Computerization in private urologic practice with multiple practice locations: the use of medical software and a portable microcomputer].

The authors have used a medical programme, Medistory, since June 1990 to computerize a private urological practice. This programme allows personalization of data collection adapted to urology: interview sheets related to the disease, standard report forms, edition of letters, creation of a multi-entry file and entering of accounts. The consultation was always held without a paper support with real-time data acquisition and the accounting was performed at the end of the visit. Letters were printed separately at home, at the end of the day, so as not to delay the patient. A back-up was performed every second day on hard disk. We used a portable Macintosh with 20 mega octets of REM and a 40 mega octet internal hard disk as our practice is based at several sites. This computerisation benefited from the Macintosh interface which facilitated learning and use of the programme. No time loss and no patient discomfort were recorded in comparison with a conventional consultation. The possibility of opening several files at the same time allowed a simple reply to any demands for other information. Two files out of 700 were lost (0.3%) due to an error when saving data. No accounting errors were detected. The use of a medical programme is particularly well adapted to private urological practice with multiple offices. The advantages of a personal computer include the gain of place, rapidity, unlimited storage capacity and the possibility of recovering data with other standard programmes. Medistory, a programme created for general practitioners, is perfectly adapted to this use due to the ease of personalization allowing the creation of interview sheets related to the disease and the edition of reports and various letters.

Computer Security↗

An overview of the CERC ARTEMIS project.

The basic premise of this effort is that health care can be made more effective and affordable by applying modern computer technology to improve collaboration among diverse and distributed health care providers. Information sharing, communication, and coordination are basic elements of any collaborative endeavor. In the health care domain, collaboration is characterized by cooperative activities by health care providers to deliver total and real-time care for their patients. Communication between providers and managed access to distributed patient records should enable health care providers to make informed decisions about their patients in a timely manner. With an effective medical information infrastructure in place, a patient will be able to visit any health care provider with access to the network, and the provider will be able to use relevant information from even the last episode of care in the patient record. Such a patient-centered perspective is in keeping with the real mission of health care providers. Today, an easy-to-use, integrated health care network is not in place in any community, even though current technology makes such a network possible. Large health care systems have deployed partial and disparate systems that address different elements of collaboration. But these islands of automation have not been integrated to facilitate cooperation among health care providers in large communities or nationally. CERC and its team members at Valley Health Systems, Inc., St. Marys Hospital and Cabell Huntington Hospital form a consortium committed to improving collaboration among the diverse and distributed providers in the health care arena. As the first contract recipient of the multi-agency High Performance Computing and Communications (HPCC) Initiative, this team of computer system developers, practicing rural physicians, community care groups, health care researchers, and tertiary care providers are using research prototypes and commercial off-the-shelf technologies to develop an open collaboration environment for the health care domain. This environment is called ARTEMIS--Advanced Research TEstbed for Medical InformaticS.

Computer Communication Networks↗

SQLGEN: a framework for rapid client-server database application development.

SQLGEN is a framework for rapid client-server relational database application development. It relies on an active data dictionary on the client machine that stores metadata on one or more database servers to which the client may be connected. The dictionary generates dynamic Structured Query Language (SQL) to perform common database operations; it also stores information about the access rights of the user at log-in time, which is used to partially self-configure the behavior of the client to disable inappropriate user actions. SQLGEN uses a microcomputer database as the client to store metadata in relational form, to transiently capture server data in tables, and to allow rapid application prototyping followed by porting to client-server mode with modest effort. SQLGEN is currently used in several production biomedical databases.

Computer Communication Networks↗

Implementing a Web-based clinical information system using EMR middle layer services.

The Clinical Summary is a Web-based application for accessing the clinical database at the Massachusetts General Hospital. The application has been developed to give physicians in our health care community access to clinical information for patients they refer to our hospital. "Middle layer" services, written previously for the hospital's clinical workstation, supply much of the application's functionality. Employment of reusable services together with a Web-based front end has afforded a rapid and inexpensive means for developing a new clinical information system. This paper discusses the system's design, function, and methods of implementation.

Computer Communication Networks↗

Virtual consolidation of Boston's Beth Israel and New England Deaconess Hospitals via the World Wide Web.

With the advent of Integrated Healthcare Delivery Systems, medical records are increasingly distributed across multiple institutions. Timely access to these medical records is a critical need for healthcare providers. The CareWeb project provides an architecture for World Wide Web-based retrieval of electronic medical records from heterogeneous data sources. Using Health Level 7 (HL7), web technologies and readily available software components, we consolidated the electronic records of Boston's Beth Israel and Deaconess Hospitals. We report on the creation of CareWeb (freya.bidmc.harvard.edu/careweb.htm) and propose it as a means to electronically link Integrated Health Care Delivery Systems and geographically distant information resources.

Boston↗

Baby CareLink: development and implementation of a WWW-based system for neonatal home telemedicine.

Baby CareLink is a multifaceted telemedicine application designed to provide individualized information and support to families of Very Low Birth Weight infants. We believe that this innovative use of WWW and telemedicine technologies will improve family satisfaction and clinical care. In conjunction with improvements in family involvement, discharge planning, education, and follow-up enabled by other CareLink components, this system may allow infants to transition home even earlier in their hospital stay and thereby provide a clear cost savings. This paper discusses the CareLink architecture and lessons learned in implementing a telemedicine link with families at home from an in-hospital clinical unit.

Computer Security↗

Feasibility of ensuring confidentiality and security of computer-based patient records. Council on Scientific Affairs, American Medical Association.

Legal and ethical precepts that apply to paper-based medical records, including requirements that patient records be kept confidential, accurate and legible, secure, and free from unauthorized access, should also apply to computer-based patient records. Sources of these precepts include federal regulations, state medical practice acts, licensing statutes and the regulations that implement them, accreditation standards, and professional codes of ethics. While the legal and ethical principles may not change, the risks to confidentiality and security of patient records appear to differ between paper- and computer-based records. Breaches of system security, the potential for faulty performance that may result in inaccessibility or loss of records, the increased technical ability to collect, store, and retrieve large quantities of data, and the ability to access records from multiple and (sometimes) remote locations are among the risk factors unique to computer-based record systems. Managing these risks will require a combination of reliable technological measures, appropriate institutional policies and governmental regulations, and adequate penalties to serve as a dependable deterrent against the infringement of these precepts.

Computer Security↗

Privacy and security requirements of distributed computer based patient records.

Privacy and security issues increase in complexity as we move from the conventional patient record to the computer based patient record (CPR) supporting patient care and to cross-institutional networked CPRs. The privacy and security issues surrounding the CPR are outlined. Measures for privacy and security protection are summarized. It is suggested that we lack a key component of an information sharing culture. We need means for semantic indexing in the form of a metadata base at the level of the instantiation of a data base rather than at the level of its schemas.

Computer Communication Networks↗