Monica Chiarini Tremblay

Monica Chiarini Tremblay
College of William and Mary | WM · Mason School of Business

Doctor of Philosophy Business

About

60
Publications
32,796
Reads
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897
Citations
Introduction
An important part of improving and revolutionizing the business is accurate measurement. Most industries are shifting from relying strictly on information systems reports, to evidence-based decision making that considers multiple sources of data. Basing decisions on accurate data will lead to more efficient and well calculated business moves, efficient operations, higher profits and happier customers.
Additional affiliations
July 2017 - present
College of William and Mary
Position
  • Professor (Associate)
January 2010 - December 2012
August 2007 - February 2016
Florida International University
Position
  • Chair and Associate Professor

Publications

Publications (60)
Article
Full-text available
While ethics are recognized as an integral part of information systems (IS) research, many questions about the role of ethics in research practice remain unanswered. Our report responds to this emerging set of concerns with a broad and integrative account of five perspectives on ethics in IS research and design science research (DSR) in particular....
Conference Paper
Full-text available
Many artificial intelligence (AI) applications involve the use of machine learning, which continues to evolve and address more and more complex tasks. At the same time, conceptual modeling is often applied to such real-world tasks so they can be abstracted at the right level of detail to capture and represent the requirements for the development of...
Conference Paper
Full-text available
Many organizations rely on machine learning techniques to extract useful information from large collections of data. Much research in this area has focused on developing and applying machine learning techniques. We propose that using conceptual models can improve machine learning by providing needed domain knowledge to augment training data with do...
Conference Paper
Full-text available
Artificial Intelligence is increasingly driven by powerful but often opaque machine learning algorithms. These black-box algorithms achieve high performance but are not explainable to humans in a systematic and interpretable manner, a challenge known as Explainable AI (XAI). Informed by a synthesis of two converging literature streams on informatio...
Chapter
In early 2020, many community leaders faced high uncertainty regarding their local communities’ health and safety, which impacts their response to the pandemic, public health messaging, and other factors in guiding their communities on how to remain healthy. Making decisions regarding resources was particularly difficult in Dallas, Texas, USA where...
Article
Online analytical processing (OLAP) engines display aggregated data to help business analysts compare data, observe trends, and make decisions. Issues of data quality and, in particular, issues with missing data impact the quality of the information. Key decision-makers who rely on these data typically make decisions based on what they assume to be...
Article
Researchers employ methodologies that rely on contemporary technologies to study the phenomenon. Recent advances in artificial intelligence (AI), particularly machine learning (ML), have intensified the speed, and our abilities, to create and deploy new knowledge for constructing theories (Abbasi et al. 2016). The availability of big data and ML to...
Conference Paper
Full-text available
Advances in machine learning (ML) make it possible to extract useful information from large and diverse datasets. ML methods aim to identify patterns in a dataset based on the values of features and their combinations. Recent research has proposed combining conceptual modeling, specifically data models, with artificial intelligence. In this paper,...
Chapter
Full-text available
Machine learning has become almost synonymous with Artificial Intelligence (AI). However, it has many challenges with one of the most important being explainable AI; that is, providing human-understandable accounts of why a machine learning model produces specific outputs. To address this challenge, we propose superimposition as a concept which use...
Chapter
In this paper, we use a design science approach to develop a mobile app for lung cancer patients that facilitates their interactions with their clinicians, manages and reports on their health status, and provides them access to medical information/education. This paper contributes to the information systems literature by demonstrating the value of...
Chapter
Full-text available
Health-related social media platforms, such as PatientsLikeMe, have enabled patients to share information with other patients with similar conditions and more advanced in their health care continuum (i.e., survivors). These platforms have demonstrated the value of patient to patient communication; such as learning more about new treatment options,...
Conference Paper
Full-text available
Machine learning has become almost synonymous with Artificial Intelligence (AI). However, it has many challenges with one of the most important being explainable AI; that is, providing human-understandable accounts of why a machine learning model produces specific outputs. To address this challenge, we propose superimposition as a concept which use...
Article
Full-text available
Since the 1970s, many approaches to representing domains have been suggested. Each approach maintains the assumption that the information about the objects represented in the information system (IS) is specified and verified by domain experts and potential users. Yet, as more IS are developed to support a larger diversity of users such as customers...
Article
Full-text available
Since 1970s many approaches of representing domains have been suggested. Each approach maintains the assumption that the information about the objects represented in the Information System (IS) is specified and verified by domain experts and potential users. Yet, as more IS are developed to support a larger diversity of users such as customers, sup...
Chapter
Full-text available
With the transformation of our society into a “digital world,” machine learning has emerged as an essential approach to extracting useful information from large collections of data. However, challenges remain for using machine learning effectively. We propose that some of these can be overcome using conceptual modeling. We examine a popular cross-i...
Article
In recent years, efforts to assess faculty research productivity have become more focused on the measurable quantification of academic outcomes. For benchmarking academic performance, different ranking and rating lists have been developed that define what is regarded as high-quality research. While many scholars in IS consider lists such as the Sen...
Preprint
In recent years, efforts to assess faculty research productivity have become more focused on the measurable quantification of academic outcomes. For benchmarking academic performance, different ranking and rating lists have been developed that define what is regarded as high-quality research. While many scholars in IS consider lists such as the Sen...
Article
Full-text available
In recent years, efforts to assess faculty research productivity have focused more on the measurable quantification of academic outcomes. For benchmarking academic performance, researchers have developed different ranking and rating lists that define so-called high-quality research. While many scholars in IS consider lists such as the Senior Schola...
Article
Full-text available
Healthcare is evolving towards patient-centered care. Of particular interest is Shared Healthcare Decision Making (SHDM) defined here as a collaborative process of patients and physicians making healthcare decisions together, taking into account the best scientific evidence available, as well as the patients’ knowledge and preferences [Oshima Lee a...
Conference Paper
Full-text available
With the growth of machine learning and other computationally intensive techniques for analyzing data, new opportunities emerge to repurpose organizational information sources. In this study, we explore the effectiveness of unstructured data entry formats in repurposing organizational data in solving new tasks and drawing novel business insights. U...
Article
Full-text available
This study demonstrates the use of text data mining (TDM) for exploring the content of a collection of corporate citizenship (CC) reports. The collection analysed comprises CC reports produced by seven Dow Jones companies (Citi, Coca-Cola, Exxon-Mobil, General Motors, Intel, McDonald's and Microsoft) in 2004, 2008 and 2012. Exploratory content anal...
Conference Paper
Full-text available
In today’s business environment, organizations are challenged with changing customer demands andQuery expectations, competitor pressures, regulatory environments, and increasingly sophisticated outside threats at a faster rate than in years past.
Conference Paper
Full-text available
Data collected by organizations is typically used for tactical purposes-solving a business need. In this study we show the relationship between inferential utility and institutional practices in repurposing unstructured electronic documentation. Our aim is to (1) understand the underpinnings of unstructured-data-entry formats in the data collected...
Article
Full-text available
In this study we develop a simplified technique for helping researchers and analysts visualize the alternative prominence of term eigenvectors obtained after exploring term associations (Term Clusters) while conducting Text Data Mining on a collection to Corporate Social Responsibility (CSR) reports. The collection analyzed is comprised of CSR repo...
Article
Full-text available
The health informatics field continues to evolve and grow. The adoption of electronic health records has increased dramatically. Integrated medical devices, telemedicine, consumer-directed apps, and precision medicine are mainstream. There are continued developments in genomics data mining and pattern recognition. The reimbursement models are rapid...
Article
Full-text available
Health care organizations must develop integrated health information systems to respond to the numerous government mandates driving the movement toward reimbursement models emphasizing value-based and accountable care. Success in this transition requires integrated data analytics, supported by the combination of health informatics, interoperability...
Conference Paper
Full-text available
We have a cohort of young researchers who are design science natives. Unlike early pioneers of design science research (DSR) who had to push the frontiers into a new unchartered territory and, along the way, grappled with philosophical, methodological and at times, existential questions, the next generation already had existing foundations and inte...
Conference Paper
Full-text available
Traditionally, information systems were designed to collect data in a structured format [1]. Structured format provides consistent data for data consumers. The explosive growth of social media (e.g., Facebook, Twitter), however, consistently demonstrates the advantages of a different approach to data collection and storage. On social media, people...
Conference Paper
Full-text available
As more Information Systems (IS) are developed to support a larger diversity of users, analysts can no longer rely on a single group of individuals to complete domain specifications—especially in heterogeneous settings. This paper aims to bridge this gap by providing a theoretical ground for the existence and use of basic level classes. These class...
Poster
Full-text available
One of the challenges in dealing with gold standards in healthcare is the difficulty of getting subject matter experts to label the data sets based on the target of interest. Can we extend the gold-standard by understanding (via machine learning techniques) the thought process followed by subject matter experts when creating a gold standard?
Conference Paper
Full-text available
This study utilizes Text Data Mining (TDM) to analyze the contents of Corporate Social Responsibility (CSR) Reports. The goal is to find evidence that environmental sustainability has become embedded in corporate policy and the core business discourse of seven organizations over 2004-2012. Results from supervised modeling techniques suggest embedde...
Conference Paper
Full-text available
The literature shows that companies have matured on how they see and understand CSR—even to the extent of seeing it as an essential element of the firm’s strategy. As part of a comprehensive research agenda, we investigate CSR reports from seven Dow Jones companies to assess the embeddedness of Environmental Sustainability considerations into their...
Article
Full-text available
Evidence from the literature indicates that besides its benefits, e-prescribing also generates new types of unintended medication errors that have the potential to harm patient safety. Analyzing both the benefits and risks of e-prescribing can give health care organizations a better understanding of the improvements gained and errors generated by t...
Conference Paper
Every year more than 800,000 children in the U.S. spend time in foster care with 35% being on psychotropic medication. An increasing ratio of foster care children per case worker makes it challenging to balance their multiple roles during the lifecycle of a case. Although there are review boards for identifying cases that require special attention,...
Article
Health IT [HIT] allows comprehensive management of medical information and its secure exchange between health care consumers and providers. Broad use of HIT has the potential to improve health care quality, prevent medical errors, increase the efficiency of care provision and reduce unnecessary health care costs, increase administrative efficiencie...
Book
This book constitutes the thoroughly refereed proceedings of the 9th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2014, held in Miami, FL, USA in May 2014. The 19 full papers, 7 research-in-progress papers, and 18 short papers describing prototype demonstrations were carefully reviewed and selec...
Conference Paper
Full-text available
Design Science Research is now an accepted philosophy for Information Systems scholars, yet deciding where to publish is still enigmatic. Though several mainstream IS publications modified their editorial statements to welcome DSR manuscripts, their receptivity is uncertain. We survey the DSR community regarding individual researchers' experiences...
Article
Full-text available
As a result of a recent federal government mandate, an increasing number of hospitals have decided to adopt electronic medical record (EMR) systems. This initiative is expected to lead toward more efficient and higher quality health care; however, little is known about governance characteristics and organizational performance for EMR adopters. Our...
Article
Full-text available
Healthcare information technology (HIT) is an exciting field to which information systems (IS) scholars have much to contribute. As the IS community continues to tackle enrollment and growth issues across the nation, HIT becomes an attractive topic for the IS educators to embrace. Careful consideration and domain understanding are needed to ensure...
Article
Full-text available
Health care decision makers and researchers often use reporting tools (e.g. Online Analytical Processing (OLAP)) that present data aggregated from multiple medical registries and electronic medical records to gain insights into health care practices and to understand and improve patient outcomes and quality of care. An important limitation is that...
Article
Full-text available
Critical social research in information systems has been gaining prominence for some time and is increasingly viewed as a valid research approach. One problem with the critical tradition is a lack of empirical research. A contributing factor to this gap in the literature is the lack of agreement on what constitutes appropriate methodologies for cri...
Article
Full-text available
In today’s data-rich environment, decision makers draw conclusions from data repositories that may contain data quality problems. In this context, missing data is an important and known problem, since it can seriously affect the accuracy of conclusions drawn. Researchers have described several approaches for dealing with missing data, primarily att...
Chapter
Full-text available
Focus groups to investigate new ideas are widely used in many research fields. The use of focus groups in design science research poses interesting opportunities and challenges. Traditional focus group methods must be adapted to meet two specific goals of design research. For the evaluation of an artifact design, exploratory focus groups (EFGs) stu...
Article
Full-text available
Focus groups to investigate new ideas are widely used in many research fields. The use of focus groups in design research poses interesting opportunities and challenges. Traditional focus group methods must be adapted to meet two specific goals of design research. For the refinement of an artifact design, exploratory focus groups (EFGs) study the a...
Chapter
Exploiting the rich information found in electronic health records (EHRs) can facilitate better medical research and improve the quality of medical practice. Until now, a trivial amount of research has been published on the challenges of leveraging this information. Addressing these challenges, Information Discovery on Electronic Health Records exp...
Article
Full-text available
Unintentional injury due to falls is a serious and expensive health problem among the elderly. This is especially true in the Veterans Health Administration (VHA) ambulatory care setting, where nearly 40% of the male patients are 65 or older and at risk for falls. Health service researchers and clinicians can utilize VHA administrative data to iden...
Conference Paper
Full-text available
Critical social research in information systems has been gaining prominence for some time and is increasingly viewed as a valid research approach. One problem with the critical tradition is a lack of empirical research. A contributing factor to this gap in the literature is the lack of agreement on what constitutes appropriate methodologies for cri...
Conference Paper
Full-text available
We propose a measure of reliability called information volatility (IV) to complement Business Intelligence tools when considering aggregated data or when observing trends. Two types of information volatility are defined: intra-cell and inter-cell. For each, two types of distributions are considered: normal and lognormal, which is often the case for...
Article
Full-text available
Similar to a product supply chain, an information supply chain is a dynamic environment where networks of information-sharing agents gather data from many sources and utilize the same data for different tasks. Unfortunately, raw data arriving from a variety of sources are often plagued by errors (Ballou et al. 1998), which can lead to poor decision...
Article
Full-text available
On-line analytical processing (OLAP) is an example of a new breed of tools for decision support that give decision makers the flexibility to customize the selection, aggregation, and presentation of data. To understand the impact of this type of tool, we study an implementation of an OLAP interface on the CATCH data warehouse used by knowledge work...
Article
Full-text available
Requirements elicitation is a central and critical activity in the systems analysis and design process. This paper explores the nature of the challenges that confront analysts and their clients during requirements elicitation. A review of the literature highlights communication as a persistent locus of concern among systems analysts, users and proc...
Conference Paper
Knowledge workers often deal with multiple sources of data when acquiring information for decision making. Multiple data sources are valuable for knowledge creation, but deciding how to integrate and analyze these different data sources is difficult. The data acquisition process and the task of correctly combining and manipulating data these data i...
Conference Paper
In this study a preliminary investigative data warehouse is developed to integrate and store very detailed audit data from multiple data sources to support a comprehensive view of database usage and potential security breaches. The data warehouse was populated with real usage data collected from over a year of database use by students in a variety...
Conference Paper
Full-text available
Measuring health outcomes is a difficult challenge and potentially controversial undertaking. However, monitoring health outcomes can provide the basis for quality improvement initiatives, effective healthcare management, and even consumer education. As part of an overall data mining process to predict health outcomes, the data preparation tasks of...
Conference Paper
Full-text available
This study focuses on investigating the computerized medical record, including textual progress notes, using data and text mining techniques to examine patient fall-related injuries (FRIs) in the Veterans Administration (VA) ambulatory care setting. FRIs are high cost, high volume adverse events in the VA that are difficult to identify from VA admi...

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