NEURON DATA IN HEALTH
SELECTED CUSTOMERS
Cerner Corporation
Creative Socio-Medics
Dartmouth-Hitchcock Medical Center
Stanford University Medical Center
BIOIMAGE
BioImage's gel scanners are powerful tools for analyzing gels, films,
photos, blots -- almost any electrophoresis sample. These innovative
systems, which have been at the forefront of imaging, are used by hundreds
of research institutions, private companies and government agencies around
the world. Based on OPEN INTERFACE ELEMENTS, the systems are available on
Sun workstations.
CENTRE HOSPITALIER de RECHERCHE UNIVERSITAIRE
Centre Hospitalier de Recherche Universitaire (CHRU) in France developed
an expert system called Systeme Expert Pour Patients VIH Positifs (SEVIH)
which uses NEXPERT OBJECT to support decision-making in the treatment of
HIV positive patients. SEVIH provides help to medical practitioners and
students by answering questions about suspected pathologies, therapeutic
treatments, the evolution of the HIV infection, etc. The knowledge base is
composed of several modules which use both data-oriented and hypothesis-oriented
inference systems. SEVIH runs on Macintosh.
DARTMOUTH-HITCHCOCK MEDICAL CENTER
The Dartmouth-Hitchcock Medical Center (DHMC) is a major academic medical
center composed of Dartmouth Medical School, the Hitchcock Clinic, Mary
Hitchcock Memorial Hospital, Matthew Thornton Health Plan and the Veterans
Affairs Hospital. DHMC is committed to excellence in patient care, education,
research and life-long learning.
In the past, extensive host-based clinical information at DMHC had been
available only through terminal displays. However, DHMC's large group of
established Macintosh users frequently made requests to use their
desktop-friendly Macs for better presentation of this clinical information.
The Medical Center's solution was MacCIS. MacCIS is a client/server based
system that links staff physicians, remote affiliate physicians and other
clinical staff members to DHMC's existing data repository. Based on
OPEN INTERFACE ELEMENTS, MacCIS provides access to patients electronic
medical records. Features include:
- identification of patient records in other physical locations within the
network;
- quick identification of documents within the record;
- custom graphing of lab results for user specific custom tests; and
- provider scheduling, on-call lists and patient admission and census lists.
MacCIS provides a mutual benefit to all providers involved, while carefully restricting access and safeguarding patient confidentiality. MacCIS was selected as a finalist in the 1995 Apple Enterprise Awards given out during PC EXPO
DUKE UNIVERSITY - FOX CHASE CANCER CENTER
The Statistical Center at Duke University used C/S ELEMENTS in a project
which gives their cancer researchers access to a centralized patient registry
and administrative records database over a wide-area, dial-up network. Duke's
Fox Chase Cancer Center employs more than 25 of the most prestigious
researchers in the world who conduct large-scale clinical trials to develop
improved methods of cancer therapies. The Statistical Center is responsible
for the researchers' database management and study analyses.
FELS INSTITUTE
Fels Institute scientists at Temple University Medical School have embarked
on a Human Genome study to map a complete set of chromosomes in a human cell.
The information scientists obtain will allow them to link genetic information
with observations of human disease and predict the effect of genetic mutation.
Fels used NEXPERT OBJECT to develop a knowledge base that accesses genetic data
stored in an Oracle relational database. The system runs on Silicon Graphics
4D/280GTXB, IRIS and Macintosh.
GMIS
GMIS and Medical Intelligence, Inc. developed a sophisticated pre-screening product
called Medical Appropriateness System (MAPS). MAPS helps clinicians and nurses
evaluate proposed procedures of health care providers, including appropriate options
for treatment. MAPS was implemented using NEXPERT OBJECT and deployed as a
client/server application. Many large companies use GMIS products, including Blue
Cross/Blue Shield, Prudential, U.S. Health Care, Humana and Aetna. In the future,
GMIS hopes to minimize the amount of manual data entry its employees perform by
extending the system to provide greater access to patient history on-line.
IBM BELGIUM
IBM Belgium developed an integrated Clinical Information System called XCIS.
The system contains all modules necessary for the efficient functioning of an
entire hospital, including essential administrative, medical and paramedical
functions. XCIS uses OPEN INTERFACE ELEMENTS as its extremely user-friendly,
graphical user interface front-end. XCIS runs on AIX-System (IBM's version of UNIX)
and accesses data from a Sybase database.
MAYO CLINIC
Mayo Clinic is one of the world's most prestigious medical institutions, providing
care to millions of patients. As part of its long term strategy of implementing
an integrated electronic medical system, Mayo Clinic is developing a portable
physicians' orders application based on the Elements Environment. This application
allows physicians to retrieve patient information and order a variety of tests.
The system also aids in ensuring that all of the information required for a test
is readily available and that proper pre-test instructions are provided to the
patient. More than 500 physicians are expected to benefit from using the system.
STANFORD UNIVERSITY HOSPITAL
Stanford University developed ADMIT, a drug information system that provides
expert-level consultation to emergency medical personnel who determine whether
to give thrombolytic therapy to patients with acute myocardial infarction. ADMIT
uses NEXPERT OBJECT and runs on Macintosh.
STANFORD UNIVERSITY MEDICAL CENTER
Using NEXPERT OBJECT on the Macintosh, Stanford University Medical Center
developed HyperLipid, a cholesterol management advisory system implementing
National Institute of Health guidelines on cholesterol diagnosis and treatment.
Developed with NEXPERT OBJECT, HyperLipid performs a rules-based analysis of
cardiology patient cholesterol levels measured over a series of clinic visits and,
for each patient, recommends the course of continuing treatment.
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