Use of mobile apps in public health and management – The first data for drGrouper app

usageDr. Mihai Negrea, Dr. Iulia Grancea

Why?• Today we know that internet and technology get in every aspect of

our life personal and professional• Why not make our jobs easier with technology?• If we can offer good products and make our health better why

shouldn`t be doing it? • Romanian health system data is closed for outside researchers,

developers, entrepreneurs, only a hand few of people have acces less than 10• We plan to give public acces to our data

What`s DRG• Diagnosis Related Groups• It`s a financing system used in Europe, USA and some countries of

Asia(China, Korea, UAE, etc) Australia• It`s based on the fact that similar pathology are using the similar

resources so they need to paied the same.

How• We created at Reea the app available on mobile devices – iOS and

Android systems• It can be only used by registration• It`s free to download to smartphones or tablet• We ask information about user – name, email, profession,

specialization or ward, hospital, city, county• When use the grouper we can associate the patient cases – diagnosis,

procedures, sex, age, weight, length of stay and discharge and the result of the grouper

What do we have at the moment• ~310 active users• 2600+ grouped cases• 1436 Medical cases• 648 Surgical Cases• 22 Others Cases• 1.0997 – Case Mix in app

So what I did? • I took the 3 of the most frequent medical groups in DRG report for

2015• And associated the group with my database• So I know what is the primary diagnosis, what are the most frequent

associate pathologies• what`s the average age, length of stay• What`s type of the outcome – discharge, transfer, death

F3032 – Heart failure and shock without catastrophic complications• 32 cases - 22 males – 10 females• 65.62% i50.0 – congestive hearth failure, 25% i11.0 – hypertension

cardiopathy with congestive failure , 9.38% i50.1 – Left Ventricle Failure• Associated diagnosis i10 – Blood Hypertension 40.62%• N18.x and n17.x– renal disfunction 21.87%• Average length of stay 5.78 Days min 4 days max 12 days• All cases discharged

I3081 – non surgical perturbation of the spine• 5 cases all males• Main diagnosis 3 of m54.4 Lumbago with sciatics and 2 m47.xx

spondylosis• Every case has associated at least a form of gastic affection k76.x,

k30.x, k21.x,k62.x • 4 out of 5 have at least 1 urinal affection and hypercolestrolemia• Average length of stay 5.2 day , minim 2 max 9• All cases discharged

E3061• 8 cases – all males• Main diagnosis j44.x – a form of Chronic Obstructive Lung Disease • Associated diagnosis – 6 acute respiratory insufficiency• 4 have a form of pneumonia• 4 have heart or circulatory conditions also• 2 have diabeties

Discussions• Of course these data are not relevant to take medical actions at the

moment we have 4.2 million patients admitted every year• Of course they could be better collected but we`re still developing the

app and the data management system• But it`s the first in the Romania`s history when these datas are publicly

available – anyone can ask for them we`ll give them we present them • There are many software proivders that have these datas but they don`t

make them available for research and also don`t public statistics• Also the Romanian School of Public Health and National Insurance

Service has them but they are not publicly available for research

Conclusion

• We can say we have some data but we need many more• We can say we can model some patterns of public health indicators• There are some pathological patterns that we can analyse further• We consider we have an alpha model, proof of concept that we can

develop further

Futher development

• Better data collection• Better data organizing and data mining system• Attract more active users I estimate that in Romania are around 10

000 MDs – whole market

Thank You