News | Patient Engagement | February 12, 2019

Survey Finds Personalized Patient Engagement Improving But Still Lacking

Consumers are motivated to make better health decisions based on quality engagements, but healthcare industry still has room for improvement

Survey Finds Personalized Patient Engagement Improving But Still Lacking

February 12, 2019 — Software company Pegasystems Inc. announced new survey data revealing the positive impact of quality patient engagement. Sixty-five (65) percent of consumers agree that communications from their doctor's office motivate them to take action to improve their health, and nearly half responded similarly regarding their primary health insurer. To continue this positive impact, the industry needs to understand how to best engage with individuals for better health outcomes, according to Pegasystems.

A Pega-commissioned survey of more than 2,000 U.S.-based consumers and more than 200 business decision makers (BDMs) of healthcare industry engagement programs gauged opinions regarding how well the industry is meeting consumer expectations. While BDMs and consumers were generally in agreement, BDMs had slightly elevated perceptions. Results also uncovered consumer readiness for new technologies as well as preferred engagement methods.

Nearly all BDMs believe they are succeeding in their engagement programs; however, only 35 percent of consumers feel highly valued by their doctor's office and only 20 percent feel the same about their primary health insurer. Additionally, while 50 percent of consumers believe their doctor is readily available, nearly one-fifth disagree or strongly disagree. Care providers in particular need to take note – nearly 80 percent of patients would find a new provider after a poor experience.

When it comes to collaboration, nearly one-quarter of consumers do not believe their insurer and doctor are closely connected. This is in direct contrast to what BDMs believed, with 93 percent claiming their organization works with all segments of the healthcare ecosystem to provide seamless experiences. Overall, BDMs must ensure their organizations not only provide optimal experiences for patients/members, but communicate with each other to reduce frustration throughout an individual's health journey.

Technology

Results revealed consumer openness to the usage of artificial intelligence (AI) when it comes to their health: Forty-two (42) percent of consumers are comfortable with doctors using AI for care decisions (29 percent are comfortable with insurers doing so). Also, nearly one-third (31 percent) are comfortable with insurers using AI-supported chatbots to answer questions online.

As for virtual care and data access, 55 percent of consumers are open to virtual appointments, 58 percent are willing to give doctors access to mobile health app data, and 60 percent would give doctors real-time access to information via connected devices (37 percent for insurers). To accommodate consumer demand, 86 percent of BDMs report currently exploring new technologies to engage members/patients and another 13 percent plan to within the year. Additionally, 77 percent of care providers already offer virtual appointments, while another 16 percent are building that capability today. With more than two-thirds of consumers reporting they track food and fitness habits on apps, organizations need to accommodate these new data sources, while also investing in technology to remain ahead of their competitors.

Human Interaction

When asked what channels are used most to communicate with consumers, 28 percent of organizations use email, with phone a close second (24 percent). But this isn't what consumers want, the survey found. Sixty-two percent of consumers prefer phone interactions with doctor's offices and 45 percent prefer the same from insurers. As for volume, nearly 30 percent of consumers want more communication from their doctor's office and nearly 20 percent want more from their insurer. While it's important to communicate with consumers on their channel of choice, this desire for increased communication and preference for phone interactions may indicate the industry has room for technological improvement to create better interactions via other channels such as online chat, web portal, messaging app, or text. As BDMs adopt new technology to accommodate innovation and consumer demands, they must keep quality interactions at the heart of every business decision.

"Overall, we're seeing positive trends in the healthcare industry when it comes to personalized patient engagement – including providers and payers – as well as the adoption of new technology, but there's still quite a bit of work to be done," said Kelli Bravo, vice president and industry market lead, healthcare & life sciences, Pegasystems. "Care teams – from insurers to doctors – need to ensure they are communicating effectively not only with patients but also with each other to create a positive impact on an individual's health outcome."

For more information: www.pega.com

Related Content

An example of DiA'a automated ejection fraction AI software on the GE vScan POCUS system at RSNA 2019.

An example of DiA'a automated ejection fraction AI software on the GE vScan POCUS system at RSNA 2019.

News | Artificial Intelligence | May 26, 2020
May 26, 2020 — DiA Imaging Analysis, a provider of AI based ultrasound analysis solutions, said it received a governm
A list of all the abnormalities the AI model classifies. This illustration only shows three representative leads (DII, V1 and V6).Fig. This is Figure 1 from the Nature Communications article.

A list of all the abnormalities the AI model classifies. This illustration only shows three representative leads (DII, V1 and V6).Fig. This is Figure 1 from the Nature Communications article.

News | Artificial Intelligence | May 19, 2020
May 19, 2020 — Artificial inte...
TeraRecon will accelerate innovation in its advanced visualization and AI platforms for image-related decision support to clinical specialists

TeraRecon's End-to-End AI Ecosystem

News | Artificial Intelligence | March 04, 2020
March 4, 2020 — SymphonyAI Group, an operating group of lea
The FDA granted marketing authorization of the Caption Guidance software to Caption Health Inc. in February 2020. It uses artificial intelligence to guide users to get optimal cardiac ultrasound images in a point of care ultrasound (POCUS) setting.

The Caption Guidance software uses artificial intelligence to guide users to get optimal cardiac ultrasound images in a point of care ultrasound (POCUS) setting.

News | Artificial Intelligence | February 13, 2020
February 13, 2020 — The U.S.

GE Healthcare partnered with the AI developer Dia to provide an artificial intelligence algorithm to auto contour and calculate cardiac ejection fraction (EF). The app is now available on the GE Vscan pocket, point-of-care ultrasound (POCUS) system, as seen here displayed at RSNA 2019. Watch a VIDEO demo from RSNA.

Feature | Artificial Intelligence | February 11, 2020 | Sanjay Parekh, Ph.D. 
February 7, 2020 – At the 2019 Radiological Society...
A new technology for detecting low glucose levels via electrocardiogram (ECG) using a non-invasive wearable sensor, which with the latest artificial intelligence (AI) can detect hypoglycemic events from raw ECG signals has been made by researchers from the University of Warwick.

A new technology for detecting low glucose levels via electrocardiogram (ECG) using a non-invasive wearable sensor, which with the latest artificial intelligence (AI) can detect hypoglycemic events from raw ECG signals has been made by researchers from the University of Warwick.

 

News | Artificial Intelligence | January 13, 2020
A new technology for detecting low glucose levels via electrocardiogram (ECG) using a non-invasive wearable sensor,...
Videos | Artificial Intelligence | November 07, 2019
Piotr Slomka explains how his team at Cedars-Sinai is working on intelligent patient risk prediction algorithms...
AI Could Use EKG Data to Measure Patient's Overall Health Status

Image courtesy of iStock

News | Artificial Intelligence | August 29, 2019
In the near future, doctors may be able to apply artificial intelligence (AI) to electrocardiogram data in order to...