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It is easy for health it leaders to feel overwhelmed and excited with new software that advertise improved patient care.
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Please reply to the peers discussion post;
How IBM’s Watson Went From the Future of Health Care to Sold Off for Parts https://slate.com/technology/2022/01/ibm-watson-health-failure-artificial-intelligence.html
What are your thoughts on it?
How does this apply to your current role or the role you aspire to have in healthcare?
What lessons does the IBM Watson story have for healthcare IT leaders today,
Are there any similarities or parallels you see with analytics or related emerging trends (AI, blockchain, metaverse, other)
The IBM project was risky, a huge investment leap, not patient centered or patient specific and had poor returns with respect to how much it truly benefitted the patient population. It doesn’t mean that the artificial intelligence (AI) concept was inaccurate as it is a calculated with a sophisticated algorithm, however the results were not applicable for all patients. The software should have added more variables in calculation, which are more patient specific and considers the availability of local resources. In all, it was determined that at least in this case AI was unsuccessful in replacing the professional acumen of an oncologist. The personal touch of an oncologist helps match specific patient characters to the best available treatment resources in the locality. The IBM AI system failed to achieve this connection and thus was a business debacle. Technology has created positive avenues and possibilities for improved patient care in the past years. However, the IBM failure story is an important reminder for healthcare IT leaders to know how to manage this sudden gush of technological innovations. It is easy for health IT leaders to feel overwhelmed and excited with new software that advertise improved patient care. Healthcare IT leaders can choose to invest in one new software every day! But adopting these technologies to patient care systems is not always successful and thus can lead to negative consequences, loss of revenue. Health IT leaders should thus plan to do pilot projects, for e.g., in one locality or one patient population before expanding it to the whole country. The pilot projects give a chance to gauge the adaptability of the project to bigger patient population across the country and make necessary modifications in the process. Patient demographics change drastically as location changes, even climate changes have a huge impact on patient health. My opinions for other technologies such as blockchain and metaverse remains the same. Healthcare leaders should adopt excitement for these new technologies but always secure it with skepticism till a proof of concept is tested in the real healthcare setting in various locations, before expanding the project and investing huge capital.
O’Leary, L. (2022). How IBM’s Watson Went from the Future of Health Care to Sold Off for Parts. Retrieved from https://slate.com/technology/2022/01/ibm-watson-health-failure-artificial-intelligence.html