From :
To : Taavi Lai <taavi.lai@gmail.com>
Subject : RE: Update on the activities
Received On : 27.04.2020 11:07
Attachments :

Dear Taavi, I hope you are doing well. I am sorry for late reply. Please see population data by geographical, sex and age distribution. With bets regards, Keti -----Original Message----- From: Taavi Lai [mailto:taavi.lai@gmail.com] Sent: 23 April, 2020 15:57 To: Ketevan Goginashvili Subject: Update on the activities Dear Ketevan, I hope that all is well with you. I've seen that the weather is beautiful in Tbilisi and I'm very much looking forward to coming back there. In the mean-time, I've started to do some analytical work around selection criteria for hospitals to be contracted. I need to spread out the 5 working days over two weeks or so I can't promise final results for next week but I'll get there The plan I've shared with Audrius (that he has also discussed with you, I think) is to: - get a better understanding what impact various criteria have on number of beds contracted etc (excel figures/tables) - I'm also thinking of a ranking algorithm to prioritise hospitals for contracting (also in excel) - Ideally, I would also like to look into the patient movement/referral patterns and geographical locations of hospitals The main file I'm using as a starting point (you shared it with me in November) is attached as a reference - this should mostly cover the first point above and maybe also (at least partially) the second. Regarding the geographical location, I'll try to use the address data in that file but... Would you be able to help me in getting population data by administrative units of Georgia? Ideally with age-sex categories and also with land area (or population density) of the administrative units. I'm also going to look for GIS information sources that have shape files of Georgian administrative units so I could create a map of hospitals. Any suggestions on where to get such shape files (maps) would be most welcome as well. And I'll come back to you later regarding referral and patient movement data as I'm currently still uncertain on what data would be best and how to do that particular analysis. Finally, I would appreciate any suggestions and comments a la whether this could be useful and whether I should try to look at some specific aspects in the data With best wishes, Taavi