That's a lot of guesswork for the industry looking to increase sales while facing significant downward pressures in the market.Over the past 3-5 years,Life Sciences organizations had to operate in a changing managed care environment.Patients are often restricted access to high physicians have to take multiple administrative steps to demonstrate that a patient should,indeed,be on the therapy they consider the most efficacious.At the same time,some recent highly differentiated drug such as for high cholesterol or chronic heart failure,have not performed as well as expected.Moreover,the size of an average sales team has been shrinking in many companies.Today,you hardly ever see a 5,000 member sales force that can visit every prospective physician every month or quarter.opportunity to speak with physicians has diminished as some adopt a as little as a few minutes- to learn about the treatment options.This means that the time reps do get with prescribers needs to be spent wisely,with the message that will help physicians distract them from it. The game changer:applying AI to clinical lab data So,how do you improve sales reps'efficiency?With diagnostic,or lab,data and Artificial techniques.A lab result is the determining factor in about 70%of prescribing decisions.Used on its own or in combination with claims and prescription records,lab data allows for a de-identified patient patient journey to be mapped out.Clinical lab data indicates -in real time,as soon as the lab test results are ready -how a patient is doing,if he or she needs a specific therapy. This is the first time ever that Life Sciences can know that Dr.Smith currently has a patient who is a great fitThat’s a lot of guesswork for the industry looking to increase sales while facing significant downward pressures in the market. Over the past 3-5 years, Life Sciences organizations had to operate in a changing managed care environment. Patients are often restricted access to high physicians have to take multiple administrative steps to demonstrate that a patient should, indeed, be on the therapy they consider the most efficacious. At the same time, some recent highly differentiated drug such as for high cholesterol or chronic heart failure, have not performed as well as expected. Moreover, the size of an average sales team has been shrinking in many companies. Today, you hardly ever see a 5,000 member sales force that can visit every prospective physician every month or quarter. opportunity to speak with physicians has diminished as some adopt a as little as a few minutes – to learn about the treatment options. This means that the time reps do get with prescribers needs to be spent wisely, with the message that will help physicians distract them from it. The game changer: applying AI to clinical lab data So, how do you improve sales reps’ efficiency? With diagnostic, or lab, data and Artificial techniques. A lab result is the determining factor in about 70% of prescribing decisions. Used on its own or in combination with claims and prescription records, lab data allows for a de-identified patient patient journey to be mapped out. Clinical lab data indicates – in real time, as soon as the lab test results are ready – how a patient is doing, if he or she needs a specific therapy. This is the first time ever that Life Sciences can know that Dr. Smith currently has a patient who is a great fit