Toward an Ontology of Commercial Exchange

In this paper we propose an Ontology of Commercial Exchange (OCE) based on Basic Formal Ontology. OCE is designed for re-use in the Industrial Ontologies Foundry (IOF) and in other ontologies addressing different aspects of human social behavior involving purchasing, selling, marketing, and so forth. We first evaluate some of the design patterns used in the Financial Industry Business Ontology (FIBO) and Product Types Ontology (PTO). We then propose terms and definitions that we believe will improve the representation of contractual obligations, sales processes, and their associated documents. A commercial exchange, for instance, involves mutual agreement to reciprocate actions, such as transferring money, performing a service, or transferring goods

The Accuracy and Manipulability of Lost Profits Damages Calculations: Should the Trier of Fact be Reasonably Certain ?

The accuracy and manipulability of calculations for lost profits damages are critical determinants of the ability of harmed parties to receive just compensation in a wide range of legal cases including antitrust, fraud, false advertising, intellectual property infringement, and breach of contract. They are also important determinants of the deterrent effects of the law. Using a sample of over 5,000 U.S. firms, we show that simple damages methods are capable of being substantially inaccurate. We also show that damages methods in general are highly susceptible to manipulation. In the absence of reasonable justifications for why particular data sets and methods were chosen for calculating damages, there can be little certainty that proffered damages are accurate and free of manipulation and, therefore, little certainty that goals such as just compensation and optimal deterrence are being properly promoted

Predictors of and barriers to service use for children at risk of ADHD: longitudinal study

Objective Many children with, or at risk of, ADHD do not receive healthcare services for their difficulties. This longitudinal study investigates barriers to and predictors of specialist health service use. Methods This is a five year follow-up study of children who participated in a cluster randomised controlled trial, which investigated school-level interventions (provision of books with evidence-based information and/or feedback of names of children) for children at risk of ADHD. 162 children who had high levels of ADHD symptoms at age 5 (baseline) were followed up at age 10 years. Using baseline data and follow-up information collected from parents and teachers, children who had and had not used specialist health services over the follow-up period were compared and predictors (symptom severity, comorbid problems, parental perception of burden, parental mental health, and socio-demographic factors) of specialist service use investigated. Results The most common parent-reported barrier reflected lack of information about who could help. Amongst children using specialist health services who met criteria for ADHD at follow-up, 36% had been prescribed stimulant medication. Specialist health service use was associated with each one-point increase in teacher-rated symptoms at baseline (inattention symptoms (adjusted OR = 1.40; 95% CI 1.12-1.76) and hyperactivity/impulsivity symptoms (adjusted OR = 1.23; 95% CI 1.05-1.44)). Parental mental health problems were also independently associated with service use (for each one-point increase in symptoms, adjusted OR = 1.41; 95% CI 1.04-1.91). Conclusions Severity of teacher-rated ADHD symptoms in early school years is a determinant of subsequent service use. Clinicians and teachers should be aware that parental mental health problems are independently associated with service use for children at risk of ADHD

The ADVANCE network: accelerating data value across a national community health center network

The ADVANCE (Accelerating Data Value Across a National Community Health Center Network) clinical data research network (CDRN) is led by the OCHIN Community Health Information Network in partnership with Health Choice Network and Fenway Health. The ADVANCE CDRN will ‘horizontally’ integrate outpatient electronic health record data for over one million federally qualified health center patients, and ‘vertically’ integrate hospital, health plan, and community data for these patients, often under-represented in research studies. Patient investigators, community investigators, and academic investigators with diverse expertise will work together to meet project goals related to data integration, patient engagement and recruitment, and the development of streamlined regulatory policies. By enhancing the data and research infrastructure of participating organizations, the ADVANCE CDRN will serve as a ‘community laboratory’ for including disadvantaged and vulnerable patients in patient-centered outcomes research that is aligned with the priorities of patients, clinics, and communities in our network

The Empirical Foundations of Telemedicine Interventions for Chronic Disease Management

The telemedicine intervention in chronic disease management promises to involve patients in their own care, provides continuous monitoring by their healthcare providers, identifies early symptoms, and responds promptly to exacerbations in their illnesses. This review set out to establish the evidence from the available literature on the impact of telemedicine for the management of three chronic diseases: congestive heart failure, stroke, and chronic obstructive pulmonary disease. By design, the review focuses on a limited set of representative chronic diseases because of their current and increasing importance relative to their prevalence, associated morbidity, mortality, and cost. Furthermore, these three diseases are amenable to timely interventions and secondary prevention through telemonitoring. The preponderance of evidence from studies using rigorous research methods points to beneficial results from telemonitoring in its various manifestations, albeit with a few exceptions. Generally, the benefits include reductions in use of service: hospital admissions/re-admissions, length of hospital stay, and emergency department visits typically declined. It is important that there often were reductions in mortality. Few studies reported neutral or mixed findings.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/140284/1/tmj.2014.9981.pd

National Telemedicine Initiatives: Essential to Healthcare Reform

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/78116/1/tmj.2009.9960.pd

Development and validation of a unifying pre-treatment decision tool for intracranial and extracranial metastasis-directed radiotherapy

BackgroundThough metastasis-directed therapy (MDT) has the potential to improve overall survival (OS), appropriate patient selection remains challenging. We aimed to develop a model predictive of OS to refine patient selection for clinical trials and MDT.Patients and methodsWe assembled a multi-institutional cohort of patients treated with MDT (stereotactic body radiation therapy, radiosurgery, and whole brain radiation therapy). Candidate variables for recursive partitioning analysis were selected per prior studies: ECOG performance status, time from primary diagnosis, number of additional non-target organ systems involved (NOS), and intracranial metastases.ResultsA database of 1,362 patients was assembled with 424 intracranial, 352 lung, and 607 spinal treatments (n=1,383). Treatments were split into training (TC) (70%, n=968) and internal validation (IVC) (30%, n=415) cohorts. The TC had median ECOG of 0 (interquartile range [IQR]: 0-1), NOS of 1 (IQR: 0-1), and OS of 18 months (IQR: 7-35). The resulting model components and weights were: ECOG = 0, 1, and > 1 (0, 1, and 2); 0, 1, and > 1 NOS (0, 1, and 2); and intracranial target (2), with lower scores indicating more favorable OS. The model demonstrated high concordance in the TC (0.72) and IVC (0.72). The score also demonstrated high concordance for each target site (spine, brain, and lung).ConclusionThis pre-treatment decision tool represents a unifying model for both intracranial and extracranial disease and identifies patients with the longest survival after MDT who may benefit most from aggressive local therapy. Carefully selected patients may benefit from MDT even in the presence of intracranial disease, and this model may help guide patient selection for MDT

A new framework for host-pathogen interaction research

COVID-19 often manifests with different outcomes in different patients, highlighting the complexity of the host-pathogen interactions involved in manifestations of the disease at the molecular and cellular levels. In this paper, we propose a set of postulates and a framework for systematically understanding complex molecular host-pathogen interaction networks. Specifically, we first propose four host-pathogen interaction (HPI) postulates as the basis for understanding molecular and cellular host-pathogen interactions and their relations to disease outcomes. These four postulates cover the evolutionary dispositions involved in HPIs, the dynamic nature of HPI outcomes, roles that HPI components may occupy leading to such outcomes, and HPI checkpoints that are critical for specific disease outcomes. Based on these postulates, an HPI Postulate and Ontology (HPIPO) framework is proposed to apply interoperable ontologies to systematically model and represent various granular details and knowledge within the scope of the HPI postulates, in a way that will support AI-ready data standardization, sharing, integration, and analysis. As a demonstration, the HPI postulates and the HPIPO framework were applied to study COVID-19 with the Coronavirus Infectious Disease Ontology (CIDO), leading to a novel approach to rational design of drug/vaccine cocktails aimed at interrupting processes occurring at critical host-coronavirus interaction checkpoints. Furthermore, the host-coronavirus protein-protein interactions (PPIs) relevant to COVID-19 were predicted and evaluated based on prior knowledge of curated PPIs and domain-domain interactions, and how such studies can be further explored with the HPI postulates and the HPIPO framework is discussed

Send reprint requests to: IDENTIFICATION OF URINARY METABOLITES OF 8METHYL-8-AZABICYCLO-[3,2,1] OCTAN-3-YL 3,5-DICHLOROBENZOATE (MDL 72,222) IN THE DOG AND MONKEY

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