Trends Likely To Affect Healthcare Technology In the Year Ahead
Response by Kristin Simonini, vice president of product, Applause.
Healthcare has long been looked at as a laggard when it comes to adopting digital services. Part of that is due to the stringent regulations of the industry and the sensitivity surrounding personally identifiable information. Part of the blame, however, falls on healthcare providers themselves. As more and more providers in the industry start to embrace digital innovation, a number of key trends emerged over the past decade including:
- The embrace of mobile technology for scheduling appointments and other routine tasks
- Telehealth patients accessing doctors for consults, education, and certain outpatient treatments across a variety of fields
- The IoT explosion (Fitbits and other wearables) providing customers health information to drive the healthcare they receive
Healthcare’s focus on patient experience means bringing a critical eye to current digital experiences. Ease-of-use and inclusivity must be considered to ensure high-quality digital experiences across all touchpoints, particularly on smartwatches, tablets, and smart speakers
In terms of predictions for 2020, we expect use of voice technology will continue to grow and empower the healthcare industry in new ways, including supporting patients. The benefits that voice brings to healthcare can be seen in medical record transcriptions, chatbots sharing the work, sharing knowledge, voice-user interface, and connecting clinics to customers.
In addition, AI will continue to impact the healthcare industry in numerous ways. As healthcare embraces AI, it will also need to address issues of bias. All types of AI – from virtual assistants learning how different users ask for the same thing, to healthcare apps identifying potential health issues from uploaded photos – have been hampered by the same challenge: sourcing enough data to teach the machine how to interpret and respond, and then testing the output at scale to ensure the results are accurate and human-like when necessary. To mitigate bias concerns, healthcare will need to make AI more representative of patients.