D1: Isansys – Assessing New Realities in Digital Health

D1: Isansys – Assessing New Realities in Digital Health

 

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, CO3, CO4)

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 cost. 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).

Discussion:

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[PDF, File Size 242KB] and read the scenario so that you may complete the task.

 

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:

  1. 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.
  2. Present additional insights to risk associated with project returns that capital market history can offer regarding risk and return associated with this project.

Responses should comprise 200–600 words.

Post two additional replies to classmates, offering critical analyses and comments relating to their analyses. Please cite sources of additional research, and examine areas where you do and do not believe that your classmates’ statements make optimal use of assigned readings, or could otherwise include additional considerations.

References

Ashley Regional Medical Center. (n.d.) Ashley Regional Medical Center

 (Links to an external site.)

.

Birmingham Children’s Hospital. (n.d.). Isansys wearable technology and wireless patient monitoring platform in at-scale deployment at Birmingham Children’s Hospital.

 (Links to an external site.)

Hoagland, D. (2011). Wireless heart monitoring cuts healthcare costs. [PDF, File Size 246KB]

Hortin, Georgina. (2015). Isansys lifecare wins £1 million SBRI healthcare contract to support NHS objectives

 (Links to an external site.)

.

Consult the Discussion Posting Guide for information about writing your discussion posts. It is recommended that your write your post in a document first. Check your work and correct any spelling or grammatical errors. When you are ready to make your initial post, click on the “Reply”. Then copy/paste the text into the message field, and click “Post Reply.”

To respond to a peer, click “Reply” beneath her or his post and continue as with an initial post.

Evaluation

This discussion will be graded using the discussion board rubric. Please review this rubric, located on the Rubrics page within the Start Here module of the course, prior to beginning your work to ensure your participation meets the criteria in place for this discussion. All discussions combined are worth 20% of your final course grade.

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