Question Completion Status: QUESTION 1 5 poin Refer to the article "The role of big data in medicine" Mckinsey Quarterly, November 2015. Identify three statements from below that are supported by the contents of the article. Payers can benefit to a significant extent by the use of Big Data in medicine. Effective use of big data could help payers manage the cost of care delivery better without compromising on the quality of care delivery. Use of Big Data by Payers will help them distinguish patients with a higher willingness to pay for specialized care and patients with a lower willingness to pay for such care. They can price care delivery based on this metric (willingness to pay) which in turn will help Payers cross subsidize poorer patients and help them get care that may otherwise be beyond their reach. Information gathered about patients cannot be used to ascertain whether patients are in compliance for medication usage, because patients have an incentive to hide this information. Instead, we should rely on passive sources of observation (sensors and the like) to observe if the patient is in compliance with his treatment regimen. Effective use of Big Data in medicine could perhaps lead to medical systems that lower the cost of care through better preventative measures, and more accurately targeted therapies. Device makers could speed up the use of big data in medicine by transforming some of the devices they're already making into consumer-grade devices that are sufficiently accurate and robust to serve clinical objectives. QUESTION 2 5 poin Refer to the article "The role of big data in medicine" Mckinsey Quarterly, November 2015. In the article, the director of the Icahn Institute explains the kind of expertise and talent that was needed to push information-driven decision-making into the clinical arena. Each statement below mentions a best practice in moving to information-driven decision-making. Identify the practice that is NOT mentioned in the article from those shown below. Note: you are required to identify such of those best practices NOT mentioned in the article or cannot be inferred from the contents of the article. O It was important to create the right kind of ecosystem comprised of highly diverse individuals from the standpoint of different areas of expertise. It was important to train information technology professionals in clinical techniques and also train people with clinical domain expertise in big data and analytics techniques. This cross training of professionals was necessary for getting the most out of their collaboration. It is also important to establish linkages with different disease-oriented institutes such as those at Mount Sinai, and direct linkages with clinics to enable information-driven decision-making in the clinical arena. Several people expressed a fear of basing medical decisions on sophisticated models that clinicians may not understand. To address this issue it is necessary to bring leading experts (physicians) in different areas and carry out studies with those leaders to address these issues. Click Save and Submit to save and submit. Click Save All Answers to save all answers. Save All AnswersR... Master of Science... Online Master of S. Remaining Time: 57 minutes, 37 seconds. Question Completion Status: QUESTION 3 5 points Refer to the article "The role of big data in medicine" Mckinsey Quarterly, (November 2015). Identify a statement below that is not supported by the contents of the article. The use of big data in medicine will evolve along a continuum. Hospital systems will not go from an era when no big data is used in medicine to one in which big data is suddenly being used in medicine. O Wearable health devices are more suited for recreational purposes and these devices will not be able to change sufficiently to be able to meet the needs of clinical usage. Big data in medicine can help in aggregating several sources of information - such as from DNA, proteins, tissues, organs, organisms, and ecosystems - to give physicians a more accurate and complete picture of what constitutes a disease. Much of the data collection from wearable devices and sources that monitor patient related factors could be passive; individuals may not need to log in to systems and submit elements of their data (key in their data). QUESTION 4 5 points Refer to the article "Using big data to make wiser medical decisions," by Halamka, J. D., Harvard Business Review, 2015, December 14. One of the statements below is not a reasonable conclusion that can be drawn from the article. Which of the following statements is not a reasonable conclusion that can be drawn from the article? IT leaders created models using machine learning that partitioned patients into those that could pay for performance and those that could not. This helped the BIDMC@Home organization target the sub population that could afford to pay for performance. In order to encourage adoption of the open source tool 12B2, a team of senior IT people were assembled as early adopters. As the early adopter base expanded, risks related to implementation decreased. Data that is telemetrically gathered at home, when coupled with information in the EHR, can help clinicians make better clinical decisions. The IT strategic planning exercise, with a two year planning horizon and involving multiple stakeholders, showed that the mobile apps designed for patients' use could deliver both clinical and financial benefits. QUESTION 5 5 point The article "How millennial consumers will transform health care" (Knowledge@Wharton, August 24, 2016), suggests several ways in which millennials and technologies will transform health care. One of the statements below is not a reasonable conclusion that can be drawn from the article. Which of the following statements is not a reasonable conclusion that can be drawn from the article? Click Save and Submit to save and submit. Click Save All Answers to save all answers. Save All Answers SayClass Selection R... f Facebook a Kindle Cloud Read... Blood Types Explatop-Rated Attr... T. Cupertino Hotel R... Master of Science... Online Master of S. Remaining Time: 57 minutes, 31 seconds. Question Completion Status: QUESTION 5 5 points The article "How millennial consumers will transform health care" (Knowledge@Wharton, August 24, 2016), suggests several ways in which millennials and technologies will transform health care. One of the statements below is not a reasonable conclusion that can be drawn from the article. Which of the following statements is not a reasonable conclusion that can be drawn from the article? If platforms such as IBM Watson were to be used to help physicians in the task of diagnosis, then it will certainly lead to the loss of personal (human) contact between physicians and patients. By taking the approach of seeing care delivery as a part of a larger system in which it is necessary to improve health in communities, rather than fixing medical problems in late stages, it may be possible to deliver both better health services and lower the costs of care delivery. Just as millennial doctors may be open to using technologies to drive change in care delivery, the impetus for change will also come from millennial consumers (patients), who will demand more from their health care systems. O There are many technologies that are not particularly new (or on the cutting edge) that could be utilized by hospitals to improve the efficiency and/or effectiveness of care delivery. QUESTION 6 5 points Which of the following incorrectly describes the potential benefits that mHealth may bring into healthcare? Real-time information about the patients can be captured, which enables timely intervention or continuous monitoring of the patients' health status Rich information from multiple sources can flow from patients to physicians, which may enable collecting comprehensive patients' context Diminishes human (especially patients) mediation in transferring health information Any patients can access high-quality care without a digital divide QUESTION 7 5 points Sa Which of the following is NOT an appropriate recommendation to advance mHealth? Improve device integration and connectivity in order to increase staff workflow efficiency and minimize human errors Develop independent mHealth devices to enhance security Data integration with EMR to support the clinical decision-making process Improve usability by careful integration with the providers' workflow Click Save and Submit to save and submit. Click Save All Answers to save all answers. Save All Answers Save ar MacBook AirRemaining Time: 57 minutes, 28 seconds. * Question Completion Status: Which of the following incorrectly describes the potential benefits that mHealth may bring into healthcare? Real-time information about the patients can be captured, which enables timely intervention or continuous monitoring of the patients' health status Rich information from multiple sources can flow from patients to physicians, which may enable collecting comprehensive patients' context Diminishes human (especially patients) mediation in transferring health information Any patients can access high-quality care without a digital divide QUESTION 7 5 points Which of the following is NOT an appropriate recommendation to advance mHealth? Improve device integration and connectivity in order to increase staff workflow efficiency and minimize human errors Develop independent mHealth devices to enhance security Data integration with EMR to support the clinical decision-making process Improve usability by careful integration with the providers' workflow QUESTION 8 5 points Which of the following does not correctly describe the inferences we can make from the benefits/risks of Big Data and AI? O AI may help bend the cost curve through substitution - substituting human diagnostic efforts with big data platforms and techniques. AI can help reduce healthcare costs through prevention - by providing continuous monitoring and generating alerts. Human decision-makers must be ready to work with algorithms by understanding what roles the digital intelligence system will play and what human experts will do in collaboration. AI and machine learning produce data-driven results. Thus, human experts must always follow AI/machine learning predictions and diagnostics results. Click Save and Submit to save and submit. Click Save All Answers to save all answers. Save All Answers Sav MacBook Air