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Understanding our patient base: an introduction to data analytics in dental practice

From Volume 45, Issue 3, March 2018 | Pages 236-246

Authors

Rosie Pritchett

BDS(Hons), BSc(Hons)

General Professional Trainee within Newcastle Dental Hospital, NE2 4AZ; InDental Practice Ltd, Newcastle, UK

Articles by Rosie Pritchett

Shirley Coleman

PhD, CStat

Principal Statistician, ISRU, School of Maths and Stats, Newcastle University, NE1 7RU, UK

Articles by Shirley Coleman

James Campbell

BDS(Hons), MA(Cantab)

General Professional Trainee within Newcastle Dental Hospital, NE2 4AZ; InDental Practice Ltd, Newcastle, UK

Articles by James Campbell

Shiv Pabary

MBE, BDS(Hons), MFGDP (UK), DipConsSed

Practice Owner, InDental Practice Ltd, Fewster Square, NE10 8XQ, UK

Articles by Shiv Pabary

Abstract

Abstract: Dental practices are continually collecting patient data but it is often an underutilized resource. There is a growing trend towards use of data analytics within companies to guide business decisions. For dental practices which use digital systems, a large reserve of patient information is readily available. Simple data analytic techniques are presented which can be used to extract substantial insight into patient demographics, DNA (did not attend) rates and many other areas of practical relevance to clinical service delivery and business management.

CPD/Clinical Relevance: Data analytics is well established in many industries and has the potential for encouraging colleagues to look at their data and understand their patient base and changes over time; practice owners can gain insight into patient demographics to guide business decisions and improve patient care.

Article

Data analytics means taking an inquisitive look at raw data, such as patient addresses, and extracting meaningful information by summarizing, illustrating and analysing the data. Assessing the information in context leads to knowledge and the opportunity to use this knowledge to make decisions based on evidence. Dental practices collect vast quantities of data everyday but usually it is only interpreted as clinical records or for auditing purposes. More broadly across the healthcare sector, data supports clinical decisions, disease surveillance and population health management.1 Barriers to further analysis in dental practice include poor quality data, lack of analytics experience, lack of time and resistance to change.2

An example of data analytics within a small business is the analysis of a year's worth of daily sales in a clothing shop.3 Plotting a graph of typical sales takings per day of the week demonstrates that, though Saturday takings per hour are the highest overall, sales per customer are higher mid-week (Figure 1).

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