We’ve all become used to interacting with the conversational AI (CAI) capabilities built into our phones, tablets, and laptops.
This voice-enabled technology has become part of our everyday lives as it answers our questions, controls IoT devices, makes purchases or, just by asking, serves us the content we want.
It’s unsurprising, therefore, to find that CAI is also revolutionizing the commercial world. A recent study by McKinsey found that 56% of businesses use AI in at least one of their operational areas.
Many firms first saw the benefits that enterprise-level CAI tech could bring as they learned to cope with the impacts of the Covid pandemic.
For example, when lockdowns necessitated working from home, remote access to cloud-based company info helped keep the commercial world afloat. Now home workers can make a full contribution by using a digital assistant to access formatted data from their company’s legacy systems over secured broadband or mobile networks.
Perhaps this is why the value of CAI is becoming increasingly apparent to the healthcare sector, which now recognizes the potential of this tech as an enabler throughout their value chains.
By deploying enterprise-level CAI technology for use in sales, research, regulation and administration, healthcare firms will see a marked increase in accuracy, productivity and profitability.
End To End Process Improvements
Our recent blog outlined the critical differences between chatbots and CAI digital assistants. The following examples demonstrate just a few ways in which a true AI solution brings tangible performance uplifts in healthcare.
Speeding up essential administration. Healthcare sales reps, for example, are required to add data to CRM databases to support their sales activity. This work soaks up valuable time, which reps could use to make extra sales or find new prospects. Voice-enabled CAI can auto-fill pre-defined templates, and using dictation; sales staff can populate free form sections, thereby speeding up necessary but low-value admin.
Simplifying Online as well as Offline research processes
CAI tech is adept at speeding up and simplifying research processes. Healthcare firms habitually rely on research data to produce their products and services. This process necessitates the ongoing review of complex clinical, technical or academic papers. CAIs can undertake offline assessments of downloaded PDFs and other document types, condensing and compiling the content into the format requested by the user.
Firms can deploy CAI applications to undertake ‘social listening’. By integrating this tech with social media channels, areas such as patient comments, brand mentions, reporting adverse events, and competitor moves can be monitored.
Allied to the above, CAIs can perform online content reviews from platforms like PubMeds. This information will usually be lengthy, highly technical, and take a long time to review. Instead, users can ask a digital assistant to extract the main information points from these sources and present them concisely and accurately. This allows for greater comprehension of the content and enables follow-up work to start expediently.
Reporting is made easy
The APIs of a CAI digital assistant is most usefully integrated into all a firm’s legacy data sources. When reporting data is required from several datasets, a CAI will efficiently gather information from each location in a single request. As a result, the time to compile a sales, financial, or marketing report is significantly reduced. In addition, the output can be refreshed by the CAI on an ongoing basis for subsequent versions.
In addition, over time, the CAI will be able to recognize and collate emerging trends and patterns in the data, improving the report’s overall impact.
The CAI Edge, in the era of “contactless”
The potential of CAI technology to enable information and process efficiencies is only just beginning. Data processing mediated through a voice-enabled AI will transform the post-pandemic healthcare sector, where the demand for new ideas, innovations, and products will accelerate.
In designing, our CAI, Ariya, the phamax team used their extensive industry experience to develop a domain-trained digital assistant for health sector firms.
Our team has configured Ariya’s machine learning and natural language processing to meet the healthcare industry’s precise needs. This helps to optimize operational efficiencies and develop new competitive advantages. All while achieving a market-leading ROI for your investment in CAI technology.
CAIs like Ariya is already boosting the performance of companies in the healthcare value chain. Is now the time to look at how a CAI can do the same for your healthcare firm?
If you’d like to meet Ariya or would like more information on our conversational AI or data solutions, complete our contact form or email us at email@example.com, and one of our team will be in touch.