Data-driven Scheduling Approach to Minimize Patient No-Shows
With all the latest advancements in its favour, healthcare care still cannot keep its appointments on track. According to recent studies, 80% of doctors in India belong to urban areas, serving 28% of the populace. This suggests that a majority of the population yet can’t access the healthcare services. However, digital appointment systems have a lot to offer to this situation.
On the other hand, improving the efficiency of existing appointment scheduling practices is also a must-taken step. With the mushrooming growth of digital and big data, the possibilities are massive, however, to taking the best advantage of same is the challenge. As business analyst experts suggest, increasing no-shows implies a huge concern among healthcare businesses. Integrating an appointment scheduling system can somehow tackle this situation. Anyhow, with a data-driven approach, one can take control of the process and diminish the rate of missing appointments. This piece talks around how you can implement a data-focused strategy and bring forth the best out of your business.
Data Collection and Segmentation
Since a majority of healthcare organizations use EMRs (Electronic medical record), you have a substantial amount of data- accessible data to facilitate your decision making. However, the approach should begin with collecting and then further segmenting the data to make sense of the information gathered. ABS- Doctor appointment booking software incorporates the analytics module to help businesses gather actionable insights and make informative decisions.
To efficiently handle this and to make the best out of it, make sure you don’t miss any of the steps below,
● Find the key factors that define your customers
● Analyse the customers’real-time behaviours
● Don’t miss the customers’ previous records
● Discover their personal preferences (helps in creating content that resonates with our users)
● Collecting information regarding the users’ website activity
● Maintain a comprehensive contact list
Taking Action on the Data
No-shows are very common events, but they can be costly (Studies suggests, a no-show appointment for an outpatient clinic can cost a practice up to $210 per event). The good news is, it is potentially preventable. The question still remains, how?
Can automated reminders improve show rates?
Firstly, to send reminders and follow-up an appointment is crucial, for it is a necessary aspect of appointment scheduling. Truly, it has a positive impact on show rates. However, still, no-shows are going to occur no matter what you do. Hence and so, the best effective strategy at this point is Double Booking – an event of reserving a slot for two different patients with a high probability of missing their appointments.
The point is to discover when to implement the double booking approach. Analyse the data gathered-
● Demographic data – Socio/economic/ geographic patterns
● Time and date of successful appointments, their time availability too
● Previous patient history
● Record of missed appointments or cancellations
In summary, double booking patients who are 50% likely or more to miss the appointment will ultimately increase the value while diminishing the disruptions. Taking good advantage of data analytics and comprehending the possibilities will help you minimize the no shows.
Want to know how ABS’s smart booking is helping patients connect with the experts? Learn more.