Data as a Driver for Interactive Technology

Austin Winberg |
September 27, 2018

Data and analytics is a growing knowledge area able to help steer innovation and create process improvement. To date, the health care industry has not fully grasped the potential benefits to be gained from big data analytics.1

One promising area of big data analytics is in its application to shift processes. Big data analytics that has evolved from business intelligence and decision support systems enable healthcare organizations to analyze an immense volume, variety and velocity of data across a wide range of healthcare networks to support evidence-based decision making and action taking.2

Interactive technology is not excluded from this opportunity. The following are 3 areas that benefit from improved data reporting and analytics delivered from an interactive platform.

Patient Education

Improve patient education compliance and comprehension through a better understanding of what drives patient education. Data can interpret the factors of patient education compliance; these include when patients are most likely to view education, what content is most successful with patients, and how patients respond to prompting and motivation. This information can be used to enhance communication with the patient and modifying the interactive system to create easier access to education and purposeful reminders to complete the education.

Workflow

Patients are not the only ones to benefit from data analysis. Data that supports the adoption and application of interactive technology can greatly increase the impact of the solution among nurses. For example, data show determining factors for nurses and units having the most success in delivering education, patient completion rates, understanding patient risk factors, and patient activity levels which can then be applied wider for an improved process for nurse activity. This includes the ability to address patient needs before they become critical and more disruptive to care processes.

Messaging

Understanding how patients access information and the amount of time they spend on hospital information can help identify what areas the hospital should focus on for targeted messaging. Data coming from an interactive platform can highlight what areas of the system and what channels patients are likely to spend time on, including time of day and location within the hospital. Applying this data can create a messaging strategy to help promote additional hospital services and preventative services targeting patient populations likely to respond.

SONIFI Health recognizes the value of data in building an interactive system to support facility goals. Read about our leadership reporting tools or contact us today to learn more about leveraging analytics.

 

References

1. Wang, Y., Kung, L., & Byrd, T. (2018, January). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change, pp. 3-13. doi:https://doi.org/10.1016/j.techfore.2015.12.019

2. Watson, H. J. (2014). Tutorial: Big data analysics: Concepts, technologies, and applications. CAIS, 34, 65. Retrieved from https://aisel.aisnet.org/cais/vol34/iss1/65

Author: Austin Winberg

Director of Clinical Outcomes • Master of Arts in Psychology (MA) • Health Research • Clinical Strategy • Data Analysis Austin Winberg leads SONIFI Health’s clinical strategy as well as directing the implementation of studies & data collection and assisting with reporting & analytics technology.