“As artificial intelligence infiltrates healthcare a little more each day, fears of robots taking over the workforce grow, too — even among patients and caregivers — according to a Syneos Health Communications report …
Here are six things to know.
1. About one in 10 U.S. respondents used a voice technology for health in 2017, compared to just 4 percent across the European Union.
2. Nearly 64 percent of respondents said they would be comfortable with an AI virtual nurse assistant, citing the No. 1 benefit as 24/7 on-demand access to answers.
3. Respondents (72 percent) said an AI virtual nurse assistant with a “realistic voice” that has a professional, warm and empathetic tone is more important than one with a human name, face or gender.
4. The top two fears patients and caregivers have when it comes to AI are: the lack of human oversight (56 percent); and, the potential for machine errors to lead to the mismanagement of their health (60 percent).
5. Less than 20 percent of patients perceive any benefit to their future healthcare in receiving diagnosis or treatment recommendations from a virtual assistant.
6. When asked to rank potential providers of AI-powered virtual nurse assistants in terms of trust, healthcare providers — such as physicians, pharmacists or hospitals — rank highest. Tech companies and insurers are toward the bottom of the list.”
The study findings cited in the preceding excerpt from the February 6, 2018, Becker’s Health IT & CIO Review article by Julie Spitzer entitled “64% of patients would be OK with AI-powered nurse assistants: 6 survey insights” (http://bit.ly/2nRs3Uf) reflect the confusion surrounding the term “artificial intelligence” a.k.a. AI and the persistent inclination toward staff rather than information technology (IT) systems to provide effective healthcare. If we define AI to mean any computer-assisted tools or methods that can automate archived medical and healthcare experience to facilitate mining and application of accrued knowledge to current cases with integrated staff review and modification — a reasonable middle ground in the evolution to completely computer-generated AI, then this next step is feasible and on the verge of implementation.
The Cloud Healthcare Appliance Real-Time Solution as a Service (CHARTSaaS)© reference architecture (RA), which specifies the inclusion of a Bayesian multi-dimensional analytics in the context of automated processes for such use cases as differential diagnosis and treatment planning. CHARTSaaS RA defines this potential in a manner that can be accomplished by implementing currently available commercial off the shelf (COTS) and/or free open source software (FOSS) IT solutions in an Internet/cloud data center managed by a cloud service provider (CSP) that provides software and service compliant with the USA Health Insurance Portability and Accountability Act (HIPAA) authorized Privacy and Security Regulations a.k.a. “Rules.” CHARTSaaS© is an IT integrated development environment that provides healthcare provider subject matter experts with easy-to-use tools for creating IT applications a.k.a. “apps” for real-time cognitive support for such problematic medical use cases as hand-off communications, failure to rescue, and differential diagnosis and treatment planning.
Please validate the foregoing CHARTSaaS©-related propositions to your own satisfaction by reading the white paper at http://bit.ly/2vmK1Rx, and viewing these presentations: https://www.youtube.com/edit?o=U&video_id=7NWcok1fi8Q, https://www.youtube.com/watch?v=j9VHOmsvSFQ. 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. Please contact me, Pete Melrose, at email@example.com or +1 (612) 201-2301 to discuss and decide re how you or your organization can participate — patient lives may depend on your decision. Thanks, and good wishes for another great day!