Breast
Cancer Trials.org - BCT is a patient-centric clinical
trials web-based matching system. The system was developed in
collaboration with the National Cancer Institute's Center for
Bioinformatics. The system has been piloted in Northern California
and a nationwide implementation is underway. More
information .
Integrated Survey System - Based on
extensive input from Dartmouth and UCSF collaborators, DCS
customized intake systems that will be adopted at Dartmouth and at
our Breast Care Center, respectively, later this year. Patients
will be asked to enter their demographic and medical history data
into the desktop intake application when they arrive at the
clinic. A summary report will be printed out and added to each
patient's chart. The resulting electronic patient records will be
used as tools to follow-up with patients and deliver needed
follow-up care. The project is funded through an NIH Small
Business Innovative Research (SBIR) grant awarded to Dynamic
Clinical Systems of New Hampshire. Click on the following links to see: Survey Question; Sample Report.
Survivorship -
We are piloting a comprehensive cancer survivorship program, supported
by interactive web-based periodic reporting of patients’ physical
and psychological symptoms related to breast cancer, which will enable
us to focus on complications of treatment and adjustment to
life after cancer rather than just
detection of
recurrence, which is an infrequent event in lower risk patients.
Using the ISS software for patient self-reporting of
physical and psychological symptoms, and creating summary
reports, we will test whether nurse practitioners can monitor
survivors remotely. We will use red flags to identify
patients with depression, new family history, weight gain, smoking,
etc for which we have interventions. If the program is
shown to be of value to patients and providers, we will
disseminate it to our eCareNet
partners.
The Communication and Care Plan (CCP) -
The CCP is an innovative approach to collecting critial data at
the point of care by using visualization tools that integrate
calendaring and care planning. The prototype tool has been
developed as part of "Project Health Designs" jointly sponsored by
the Robert Wood Johnson Foundation and California Health Care
Foundation. Click on the following links to see: Event Calendar; Care Planning.
I-SPY Trial - A collaborative research
project with the NCI to develop software tools to integrate
imaging, biomarkers, and clinical data for evaluation and
prediction of response to therapy in breast cancer. The primary
goal of the I-SPY trial is "to identify surrogate markers of
response to neoadjuvant chemotherapy that are predictive of
pathologic remissions and survival in State III breast cancer."
TrialCode - A software application
developed by the BCT team to capture complex eligibility rules
by linking data elements with Boolean operators. The system
renders the rules in a structured format usable by the NCI's
caMATCH clinical trials matching system, which greatly facilitates
authoring of structure eligibility criteria for the BCT matching
system.
UCSF-EDRN - A system designed and
developed by the Center of Excellence informatics team to allow
management of clinical trial based experimental laboratory
specimens and specialized testing on these samples. The goal of
EDRN is to accelerate the translation of biomarker information
into clinical applications. More information on EDRN.
eCareNet - A system being developed for
data collection, care management, synthesis, analysis, and
feedback for cancer patients and their oncologists. The system
will integrate several existing systems within the COE such as the
communication care plan, decision aids, structured patient
surveys, and healthcare calendaring.
Intellectual Property (IP) Commons - The
center has devised a creative commons to foster technology
transfer without barriers. The goal of the IP commons is to
disseminate technology and manage the intellectual property
generated by the center. A guiding principle is to make the
technology open and available to a wide audience, thus minimizing
barriers to adoption.