Infosys launches SAP-backed customisable pharma solution

Infosys launches SAP-backed customisable pharma solution
Photo Credit: Reuters
30 Jun, 2020

Bengaluru-based information technology (IT) services major Infosys has launched a SAP-based customisable medicine solution for the pharmaceutical industry.

The solution will leverage the German firm’s offerings, such as SAP S/4 HANA, SAP C/4HANA, SAP analytics cloud solutions and SAP Code Inspector to enable pharma companies to derive intelligent insights, address regulatory needs and personalise their requirements, according to a statement.  

Digital technologies can help pharma companies accelerate their time-to-market and provide better patient experiences, Subhro Mallik, senior vice president and global head of life sciences at Infosys, said.

“Our personalised medicine solution will help ensure that traditional pharma companies are able to digitally transform themselves with minimum disruption,” he added. 

Read: Covid-19 crisis may impact revenue, profit this year too: Infosys

Infosys said it will utilise advanced analytics to manage individual patient treatment lifecycles, making the process of enrolment, scheduling and post medical treatments a digital experience, while also lowering the duration of the treatment lifecycle.

The solution will leverage the internet of things (IoT) and blockchain technologies to manage critical cold chains and outcome-based invoicing. Cold chains refer to storage solutions that can maintain a given temperature range, usually between 2 and 8 degrees, to transport sensitive products such as pharmaceutical drugs and biological materials.

Read: German firm SAP launches Global Bharat programme to digitalise MSMEs 

Organisations today must evolve from the traditional make-to-stock model to a highly personalised make-to-order model, according to Joe Miles, senior vice president and head of HCLS business unit at SAP.

“This requires aggregating and analysing massive amounts of genomic, therapeutic and patient data in real time to execute an end-to-end process at scale,” he said.