OpenHealth Company

Because the evolution of pharmacy traffic is symptomatic of specific health contexts, it is important to analyze these indicators as factors exogenous to your commercial performance:

Number of pharmacy tickets, all products combined

- Number of working days
- Number of pharmacy tickets, all products combined
- Number of items (volume) per ticket

You want to better understand the exogenous factors in pharmacies

Create pro forma analyzes of your performance, excluding traffic trends and number of working days

- You want to better understand the exogenous factors in pharmacies
- Create pro forma analyzes of your performance, excluding traffic trends and number of working days

Data from pharmacies. Possibility to filter data with or without

- Data from pharmacies. Possibility to filter data with or without

Metropolitan France data excluding Corsica &amp; DROM-COM

- Metropolitan France data excluding Corsica &amp; DROM-COM

Market definition 'all products' exclusively

Applicable to human medicinal products, veterinary medicinal products and non-medicinal products

- Market definition 'all products' exclusively
- Applicable to human medicinal products, veterinary medicinal products and non-medicinal products

Nested point curves object 'Year on year comparison'

'Year on year comparison Measure data' data table

- Functional cartridge
- Time buttons
- Indicator selector
- Accumulation selector
- Prescription type selector
- type selector
- Analysis type selector
- Nested point curves object 'Year on year comparison'
- 'Year on year comparison Measure data' data table

Total number of (working) days + cumulative

Number of dispensations (traffic) + cumulative

Number of dispensations / working days + average over the start of the time period

Volume / dispensations + average compared to the start of the time period

Volume / working days + average compared to the start of the time period

- Total number of (working) days + cumulative
- Number of dispensations (traffic) + cumulative
- Number of dispensations / working days + average over the start of the time period
- Volume / dispensations + average compared to the start of the time period
- Volume + cumulative
- Volume / working days + average compared to the start of the time period

The temporalities of this sheet must be taken into account in relation to the defined deadline.

Nested line charts present either a monthly PAS view to month-to-month or cumulative.

<a href="https://success.openhealth.fr/fr/articles/3835180-gestion-des-comparaisons-hebdomadaires" target="_blank" rel="nofollow noopener noreferrer"> Shift Day </a> (comparison to the equivalent day of the year previous)

- <a href="https://success.openhealth.fr/fr/articles/3835180-gestion-des-comparaisons-hebdomadaires" target="_blank" rel="nofollow noopener noreferrer"> Shift Day </a> (comparison to the equivalent day of the year previous)
- Day
- Week
- Month (Mth)
- Qtr (Quarter)

<a href="https://openhealth.my.salesforce.com/sfc/p/0Y000001Iu7o/a/1v000000XONd/ONHb4D5GsuMH3s.mjmebZ5uCGU.3K1bwea.3.UbMwTY" target="_blank" rel="nofollow noopener noreferrer"> Pharmacy Monitoring Evolution v2011171045 </a>

<a href="https://openhealth.my.salesforce.com/sfc/p/0Y000001Iu7o/a/1v000000XJzp/lpDpmMGCbFIivQCREWCxJMCrZmHZbdddG27ae5aIH74" target="_blank" rel="nofollow noopener noreferrer"> Pharmacy Monitoring Evolution v2010121344 </a>

- Added the analysis type selection button

<a href="https://openhealth.my.salesforce.com/sfc/p/0Y000001Iu7o/a/1v000000vzLG/4jcxMYQgRT0hqNPw1Q1OgFurHj.T4SprmsGIz9J85Qw" target="_blank" rel="nofollow noopener noreferrer"> Pharmacy Monitoring Trends v2004011641 </a>

Change sorting of curves from 2020 to 2018

Changed the redirect link to the SUCCESS online documentation

- Change sorting of curves from 2020 to 2018
- Change order of measures
- Changed the redirect link to the SUCCESS online documentation

<a href="https://openhealth.my.salesforce.com/sfc/p/0Y000001Iu7o/a/1v000000vyra/gpq9y_6F2LoYoqhNs3NxHf2Rd0gzPqUCacNMrjIU3WY" target="_blank" rel="nofollow noopener noreferrer"> Pharmacy Monitoring Evolution v2003271625 </a>

Addition of the Year on year comparison Data table

- Addition of cumulative
- Added shifted day selector
- Addition of measure selector
- Added day selector not worked
- Add Prescription Selector
- Addition of the Year on year comparison Data table

<a href="https://openhealth.my.salesforce.com/sfc/p/0Y000001Iu7o/a/1v000000vygw/sVSEX2O1txTp8ONn1wAkqqRuorQZC2FqK7uPme0uI.U" target="_blank" rel="nofollow noopener noreferrer"> Monitoring target"https://openhealth.my.salesforce.com&gt; v2003252307 </a>

<a href="https://openhealth.my.salesforce.com/sfc/p/0Y000001Iu7o/a/1v000000vyYn/bLMEU4e68wkp_AbxTIbtW30vklPs0SB954da.59Poco" target="_blank" rel="nofollow noopener noreferrer"> Pharmacy Monitoring Trends v2003242002 </a>

It is not possible to cross filters on geographic granularity and pharmacy type granularity

Study the evolution of dispensary traffic

Pharmacy Monitoring Evolution

OpenHealth

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Pharmacy Monitoring Evolution

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Because the evolution of pharmacy traffic is symptomatic of specific health contexts, it is important to analyze these indicators as factors exogenous to your commercial performance:

This module is for you if:

Data sources

Geographic territories

Market

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Objects found in the sheet

Indicators

Temporalities

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