This is a graded discussion: 100 points possible due Dec 11 M7D1: Isansys – Asse

This is a graded discussion: 100 points possible
due Dec 11
M7D1: Isansys – Assessing New Realities in Digital Health
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Background:
This discussion addresses the following Module Outcome:
Interpret a sensitivity analysis for a proposed investment. (CO4)
Apply historical knowledge, market returns, and risk premiums in financial markets to managerial decisions.
CO2: Apply the strategic planning processes necessary to manage the long- and short-term financial activities of the firm.
CO3: Perform valuation of financial instruments.
CO4: Evaluate the appropriateness of an investment using applicable economic, industry, and competitive analysis.
Patient care has become a primary focus in the development of new healthcare technology. Technological development in clinical applications is a significant trend in healthcare currently, and hospitals worldwide are adopting exciting new innovations in the area of patient care. A 2016 survey circulated among healthcare providers indicated (HIMSS, n.d.) indicated that 74% of healthcare professionals consider Information Technology to be a critical tool in clinical settings, for instance. In a hospital setting in particular, patient monitoring is a critical aspect of patient care in a hospital setting. Isansys is an innovative, continuous vital sign data acquisition, analysis, and prediction platform that combines wearable wireless sensors and networks with analytical algorithms and data analysis to provide low cost, continuous monitoring for patients. The technology can be used either in a hospital setting or at home. This technology was pioneered with the assistance of clinicians and hospitals as an innovative and unobtrusive new patient monitoring technology with predictive care methodologies to improve patient outcomes and reduce costs. The Oxfordshire-based company received a Small Business Research Initiative (SBRI) grant to increase the functionality and extend the intended use of its innovative Patient Status Engine (PSE). Hospitals in England and India then participated in early trials, and it is currently in use in many countries throughout the world but has not gained widespread adoption in the United States. PSE provides a continuous vital sign data acquisition, analysis and prediction platform that is helping hospitals and healthcare organizations move into the next generation of digital, data driven patient care (Hortin, 2015).
Tasks:
As Business Operations Manager at Ashley Regional Medical Center, prepare and attach to the relevant discussion board area a narrated PowerPoint presentation of no more than 8 slides using concepts introduced in this Module to update the Medical Center’s Technology Adoption Board regarding the reliability of NPV estimates. Your presentation must:
Evaluate the possibility that forecasted values could differ from the initial NPV estimate, explaining the assumptions and conceptual rationale behind the analyses that you have used to diminish the possibility of error in our estimates, including sensitivity and scenario analyses.
Present additional insights into the risk associated with project returns that capital market history can offer regarding risk and return associated with this project.
References
Ashley Regional Medical Center. (n.d.) Ashley Regional Medical Center Links https://www.ashleyregional.com/