02228nas a2200277   4500008004100000022001400041245010200055210006900157260004200226300001000268490000700278520139300285653002601678653002101704653001701725653002901742653002201771653001801793100002001811700001701831700001701848700001901865700001801884700001801902856003001920       2021                        eng d  a1927-032100aUsing Web Text Analytics to Categorize the Business Focus  of Innovative Digital Health Companies0 aUsing Web Text Analytics to Categorize the Business Focus of Inn  aOttawabTalent First Networkc10/2021  a65-780 v113 aCategorizing the market focus of larger samples of companies can be a tedious and time-consuming process for both researchers and business analysts interested in developing insights about emerging business sectors. The objective of this article is to suggest a text analytics approach to categorizing the application areas of companies operating in the digital health sector based on the information provided on their websites. More specifically, we apply topic modeling on a collection of text documents, including information collected from the websites of a sample of 100 innovative digital health companies. The topic model helps in grouping the companies offering similar types of market offers. It enables identifying the companies that are most highly associated with each of the topics. In addition, it allows identifying some of the emerging themes that are discussed online by the companies, as well as their specific market offers. The results will be of interest to inspiring technology entrepreneurs, organizations supporting new ventures, and business accelerators interested to enhance their services to new venture clients. The development, operationalization, and automation of the company categorization process based on publicly available information is a methodological contribution that opens the opportunity for future applications in research and business practice.10aDigital health sector10amachine learning10aMarket offer10atopic modeling algorithm10avalue proposition10aweb analytics1 aAweisi, Abdulla1 aArora, Daman1 aEmby, Renée1 aRehman, Madiha1 aTanev, George1 aTanev, Stoyan  utimreview.ca/article/145702219nas a2200229   4500008004100000022001400041245008500055210006900140260004200209300001000251490000600261520152500267653001801792653001401810653002001824653002001844653002301864653002701887100002001914700001801934856003701952       2017                        eng d  a1927-032100aA Cybersecurity Risk Assessment Framework that Integrates Value-Sensitive Design0 aCybersecurity Risk Assessment Framework that Integrates ValueSen  aOttawabTalent First Networkc04/2017  a32-430 v73 aMedical devices today are more effective and connected than ever before, saving more patient lives and making healthcare practitioner’s jobs more efficient. But with this interconnectedness comes inherent concerns over increased cybersecurity vulnerabilities. Medical device cybersecurity has become an increasing concern for all relevant stakeholders including: patients, regulators, manufacturers, and healthcare practitioners. Although cybersecurity in medical devices has been covered in the literature, there is a gap in how to address cybersecurity concerns and assess risks in a way that brings value to all relevant stakeholders. In order to maximize the value created from cybersecurity risk mitigations, we review literature on the state of cybersecurity in the medical device industry, on cybersecurity risk management frameworks in the context of medical devices, and on how cybersecurity can be used as a value proposition. We then synthesize the key contributions of the literature into a framework that integrates cybersecurity value considerations for all relevant stakeholders into the risk mitigation process. This framework is subsequently applied to the hypothetical case of an insulin pump. Using this example case, we illustrate how medical device manufacturers can use the framework as a standardized method that can be applicable to medical devices at large. Our ultimate goal is to make cybersecurity risk mitigation an exploitable asset for manufacturers rather than a regulatory obligation. 10acybersecurity10aframework10amedical devices10arisk assessment10avalue propositions10avalue-sensitive design1 aAlvarenga, Aida1 aTanev, George  uhttp://timreview.ca/article/106902043nas a2200229   4500008004100000022001400041245007700055210006900132260004200201300001000243490000600253520135200259653001801611653001401629653002701643653003001670653002201700100001801722700001701740700002001757856003601777       2015                        eng d  a1927-032100aA Value Blueprint Approach to Cybersecurity in Networked Medical Devices0 aValue Blueprint Approach to Cybersecurity in Networked Medical D  aOttawabTalent First Networkc06/2015  a17-250 v53 aCybersecurity for networked medical devices has been usually “bolted on” by manufacturers at the end of the design cycle, rather than integrated as a key factor of the product development and value creation process. The recently released cybersecurity guidelines by the United States Food and Drug Administration (FDA) offer an opportunity for manufacturers to find a way of positioning cybersecurity as part of front-end design, value creation, and market differentiation. However, the technological architecture and the functionality of such devices require an ecosystem approach to the value creation process. Thus, the present article adopts an ecosystem approach to including cybersecurity as part of their value proposition. It extends the value blueprint approach suggested by Ron Adner to include an additional dimension that offers the opportunity to define: the potential locations of cybersecurity issues within the ecosystem, the specific nature of these issues, the players that should be responsible for addressing them, as well as a way to articulate the added cybersecurity value as a competitive differentiator to potential customers. The value of the additional blueprint dimension is demonstrated through a case study of a representative networked medical device – a connected insulin pump and continuous glucose monitor. 10acybersecurity10aecosystem10amarket differentiation10anetworked medical devices10avalue proposition1 aTanev, George1 aTzolov, Peyo1 aApiafi, Rollins  uhttp://timreview.ca/article/903