Salesforce’s Cloud to Pick Perfect Clinical Trials Participants

salesforce, life sciences, system, cloud, healthcare, AI

Salesforce Life Sciences Cloud can pick the best candidates for clinical trials from a sea of patient profiles.

  • The system relies on automation and AI to sift through the dataset.
  • Its features also center around patients’ financial capabilities and their treatments’ progress.

Salesforce Life Sciences Cloud is now generally available to help personalize healthcare, requiring patient’s informed consent to use their data.

Cloud health systems and solutions for healthcare change how pharmaceutical and medical technology companies engage with patients and healthcare professionals. Not only do these solutions leverage automation, and artificial intelligence (AI), but they also rely heavily on data like everything else today. And there wouldn’t be an issue if that data is not private medical information and if data collection and storage is as safe as one would ideally prefer. That’s why patients and guardians need to understand what they are getting into.

AI-Powered Cloud

On June 18th, Salesforce announced that its Life Sciences Cloud is now available to help personalize patient and healthcare professional engagement. Its main goal is to improve the clinical trial planning, specifically patient selection. In comes its three main features:

  1. Participant Recruitment and Enrollment, which helps institutions find qualified, diverse candidates for recruitment.
  2. Patient Benefits Verification, which helps organizations quickly determine a patient’s financial responsibility for medications or diagnostics.
  3. Patient Program Outcome Management, which enhances patient support programs.

All of Salesforce Life Sciences Cloud’s features are powered by AI, which in turn lives off data. So, the cloud health system uses the Unified Data Platform for Life Sciences which integrates and harmonizes data from various sources. The blend of emails, meeting notes, call transcripts, scientific publications, and product documentation then creates comprehensive profiles of both patients and healthcare professionals.

That’s a lot of personal information that Salesforce Life Sciences Cloud consumes to be efficient and of any use. And since most of it is medical information, the hospital or healthcare providers cannot just go ahead and share it without your consent. The question here becomes, will the patient understand what they are signing up for if they agree?

Control over One’s Data

If a doctor is talking to a patient about participating in this type of data collection, they need to be very clear with their explanations of Salesforce Life Sciences Cloud. Mostly this is because, like medical jargon, most regular people will not understand technical and cloud-centered jargon. And they need to understand where their data is coming and going because it’s an extension of themselves.

At the very least, someone from the hospital or clinic should be able to explain it in layperson’s terms so the patient knows what he’s signing up for. Just like how medical institutions, under certain circumstances, supply someone to translate for a patient who doesn’t share a language with the staff, they should have someone on staff trained to be able to clearly explain the process.

Final Thoughts

The Cloud-based healthcare software is important as it introduces much-needed clinical trials to patients who might have given hope on recovering from whatever ails them. But that should not happen at the expense of not knowing what is exactly happening to your data.

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