Research Contribution. 31.2.1 Research must make a contribution to an existing body of knowledge. It must be an advance over the routine application of existing knowledge and/or interpretations.
31.2.2 Contributions in the sciences shall be taken to include replicative tests and studies that fail to yield evidence supporting an anticipated result.
31.2.3 Assigned classroom teaching shall not constitute research.
Research Contribution. The Participating Employer will contribute to the costs of RAND’s Research and offset the cost to RAND of generating the Research Report in the amount of twenty cents ($0.20) for each of Participating Employer’s average annual covered lives (including employees and dependents) whose claims information is included in the Claims Data (“Contribution”), with a minimum Contribution of one thousand dollars ($1,000.00) and up to a maximum Contribution of fifteen thousand dollars ($15,000.00) unless the Participating Employer elects a Contribution greater than that maximum. RAND will issue a Contribution invoice to the Participating Employer upon receipt of the Claims Data or when RAND has sufficient assurance that the Claims Data will be delivered. The Contribution shall be due and payable by Participating Employer upon receipt. Disclaimer of Warranties. XXXX’X RESEARCH REPORTS ARE PROVIDED "AS IS" AND RAND HEREBY DISCLAIMS ALL WARRANTIES, WHETHER EXPRESS, IMPLIED, STATUTORY, OR OTHERWISE. XXXX SPECIFICALLY DISCLAIMS ALL IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, TITLE, AND NON-INFRINGEMENT, AND ALL WARRANTIES ARISING FROM COURSE OF DEALING, USAGE, OR TRADE PRACTICE. XXXX MAKES NO WARRANTY OF ANY KIND THAT THE RESEARCH, RESEARCH REPORTS, OR ANY PRODUCTS OR RESULTS OF THE USE THEREOF, WILL MEET PARTICIPATING EMPLOYER'S OR ANY OTHER PERSON'S REQUIREMENTS (EXCEPT AS SET FORTH IN EXHIBIT A), ACHIEVE ANY INTENDED RESULT OR BE SECURE, ACCURATE, COMPLETE, OR ERROR FREE. THE PARTIES FURTHER RECOGNIZE THAT THE ACCURACY OF XXXX’X RESEARCH REPORTS, INCLUDING ANY CONCLUSIONS OR OBSERVATIONS THEREIN, IS DEPENDENT ON THE ACCURACY OF THE CLAIMS DATA RECEIVED BY XXXX. Limitation of Liability. IN NO EVENT WILL RAND BE LIABLE UNDER OR IN CONNECTION WITH THIS AGREEMENT UNDER ANY LEGAL OR EQUITABLE THEORY, INCLUDING BREACH OF CONTRACT, TORT (INCLUDING NEGLIGENCE), STRICT LIABILITY, AND OTHERWISE, FOR ANY: (A) CONSEQUENTIAL, INCIDENTAL, INDIRECT, EXEMPLARY, SPECIAL, ENHANCED, OR PUNITIVE DAMAGES; (B) INCREASED COSTS, DIMINUTION IN VALUE OR LOST BUSINESS, PRODUCTION, REVENUES, OR PROFITS; (C) LOSS OF GOODWILL OR REPUTATION; (D) USE, INABILITY TO USE, LOSS, INTERRUPTION, DELAY OR RECOVERY OF ANY DATA, OR BREACH OF DATA OR SYSTEM SECURITY; OR (E) COST OF REPLACEMENT GOODS OR SERVICES, IN EACH CASE REGARDLESS OF WHETHER RAND WAS ADVISED OF THE POSSIBILITY OF SUCH LOSSES OR DAMAGES OR SUCH LOSSES OR DAMAGES WERE OTHERWISE FORESEEABLE. IN NO EVENT XXXX XXXX'X ...
Research Contribution. 10% Valuable research – 5% Scalability – 5% How is this research of value to advancing knowledge in this field? Will the research validate existing studies that have important findings but are yet to be replicated? What gaps in the research literature does this research address? What is the likelihood that, if the research is successful, it will work on a significant scale, for example, as an ARC linkage project? Please provide references to support your response at 9.5. (Max 1000 words)
Research Contribution. The Participating Employer will contribute to the costs of RAND’s Research and offset the cost to RAND of generating the Research Report in the amount of twenty cents ($0.20) for each of Participating Employer’s average annual covered lives (including employees and dependents) whose claims information is included in the Claims Data (“Contribution”), with a minimum Contribution of one thousand dollars ($1,000.00) and up to a maximum Contribution of fifteen thousand dollars ($15,000.00) unless the Participating Employer elects a Contribution greater than that maximum. RAND will issue a Contribution invoice to the Participating Employer upon receipt of the Claims Data or when RAND has sufficient assurance that the Claims Data will be delivered. The Contribution shall be due and payable by Participating Employer upon receipt.
Research Contribution. Roche shall pay Progenics during the Term of the Research Collaboration USD [ *** ] per year, inclusive of taxes and overhead, for the funding of the positions of [ *** ] The amount of funding payable for each year after the first year of the Research Collaboration shall increase by [ *** ](relative to the prior year) to reflect cost of operations increases. Such payments will be made in four equal installments at the beginning of each calendar quarter upon receipt of an invoice from Progenics.
Research Contribution. There are limited findings in the mental health literature looking at the attributes of insurance status and how it can impact psychiatric patients' length of stay. Additionally, the quality of care provided to patients admitted for a suicide attempt is not well-scrutinized in the literature. One Massachusetts study that observed mental health patients in EDs identified a positive link between uninsurance and longer ED length of stay, providing insight into barriers related to quality access to care.16 However, this was limited to ten EDs, which lacks generalizability.16 Additionally, providing specific contexts to mental health patients admitted explicitly for a suicide attempt would consider the unique nature of suicide events, which may circumstantially differ from general mental health ED visits. To my knowledge, there is no prior research examining the impact of insurance status on ED length of stay among those admitted for a suicide attempt or deliberate self-harm. This study can potentially address two critical areas for improving ED care. First, it will rationalize the importance of offering standardized and targeted services when patients are admitted for intentional self-injury, regardless of their intent to die. Second, this research will validate the need for enhanced hospital network system capacities so that best practices in suicide risk triage can be upheld at their highest standard.
Research Contribution. Important contributions of this work are as follows.
i) We develop various online learning algorithms to support information extraction and classification. The algorithms form the foundation for IDEAL-X, and experiments reveal the contextual challenges of applying online learning in clinical environments.
ii) We present a workflow and software interface to facilitate a human-machine collaboration aimed at balancing accuracy and efficiency. User may also input domain specific knowledge to improve the system’s learning efficiency and prediction accuracy.
iii) We investigate existing clinical knowledge bases, design interface and template for controlled vocabulary. We demonstrate the important role that controlled vocabulary plays in information extraction and data standardization, and present solutions to assist in building domain-specific vocabulary.
iv) We demonstrate the feasibility of IDEAL-X in three real-world uses cases. Working with Emory Clinical Cardiovascular Research Institute, we extract information from heterogeneous clinical reports to support Biobank building, which addresses a variety of research questions in cardiovascular disease. Working with Emory Pathology, we extract diagnosis and genetic information from pathology reports to support patient group identification. Working with the Centers for Disease Control and Prevention, we improve VTE surveillance with information extracted from radiology reports.
