“AI [artificial intelligence] is the New Electricity.…Our checks confirm that a wide range of organizations are exploring incorporating AI in their business, mostly using Machine and Deep Learning for speech and image recognition applications.
…But Competitive Environment Doesn’t Favor IBM. Our checks suggest that IBM’s Watson platform remains one of the most complete cognitive platforms available in the marketplace today. However, many new engagements require significant consulting work to gather and curate data, making some organizations balk at engaging with IBM. As outlined below, many major companies are making significant investments in AI, and private capital formation is booming, growing over 50% to $4.25B in 2016 per CB insights, with nearly 1900 startups in the space tracked by Venture Scanner. Our analysis of job listings also suggests that IBM appears outgunned in the ‘war’ for AI talent; Amazon, for example, has more than 10x the job listings of IBM. Finally, enterprises now have many choices for APIs from various providers; notably IBM dropped its pricing for Watson Conversations by 70% in October ’16.”
In the foregoing excerpt from the July 12, 2017, Jeffries Franchise Note entitled IBM (IBM) Creating Shareholder Value with AI? Not so Elementary, My Dear Watson (https://javatar.bluematrix.com/pdf/fO5xcWjc), James Kisner, CFA, Equity Analyst, provides sufficient information to discourage the typical small-/mid-market organization such as a majority of the hospitals in the United States from considering artificial intelligence in general and natural language-enabled similarity and predictive analytics in particular for their medical diagnosis and treatment tool kits.
However, an IT solution compliant with The Cloud Healthcare Appliance Real-Time Solution as a Service (CHARTSaaS) reference architecture (RA) includes such analytics in the context of automated processes for their clinical and administrative application in a cost-efficient and minimally complex integrated development environment that healthcare provider subject matter experts can use to create IT applications a.k.a. “apps” for cognitive support, with little or no expert help from IT staff. Such apps can automate such problematic and error-prone use cases as differential diagnosis and treatment planning, which could include the capability to extract from available databases all statistically similar digital medical records to compose a differential diagnosis in probability order. The clinician could consider this and select a working diagnosis to be confirmed by appropriate tests. Following confirmation, the record(s) representing the diagnosis would be reanalyzed for included treatment plans and outcomes; followed by various applicable treatment plans in order of outcome success probability.
Please validate this CHARTSaaS RA proposition to your own satisfaction by reading the white paper at http://bit.ly/2vmK1Rx, viewing the tutorials posted on YouTube (http://bit.ly/2sVajvS and https://www.youtube.com/watch?v=f5OtbCCDNLs) and also by reviewing the details of CHARTSaaS™ and the CHARTSaaS RA™ in these presentations:
Healthcare providers will benefit significantly from appreciating and then applying a CHARTSaaS RA-compliant IT solution. To do so will mitigate medical mistakes (currently the third leading cause of patient deaths. per Makaray and Daniel (http://bit.ly/1rtW6Sa); thereby minimizing patient adverse events and optimizing clinical case outcomes while maximizing the cost-effectiveness of care and treatment, and also accelerating the accrual and facilitating the application of medical knowledge.