A frequent topic of conversation at Extract revolves around how healthcare organizations can get better data so they can make better use of it. We, along with most people, believe that there’s a trove of actionable information in healthcare and that the acquisition of this data should be as streamlined as possible.
A couple of recent partnerships in the healthcare industry amongst IT vendors have highlighted the ways in which data use can be streamlined for organizations.
The first is with Apervita, which is adding abstraction technology from Carta Healthcare to enhance quality and organizational information. Rather than rely on typical manual data abstraction for quality measures, the offering will only require employees to validate that the AI software has pulled the correct information from unstructured fields in medical charts.
The goal is not just to advance quality measures, which can be tied into reimbursement rates, but also to free up clinician time, and find insights that might be hidden within a patient’s medical record. Apervita mentioned the ability to move toward a sepsis diagnosis by uncovering text like ‘yellow wound’ in unstructured data fields.
The other is between PRA Health Sciences, Inc. and Veradigm, which are partnering to add Clinical Research as a Care Option to millions of electronic health records, streamlining the process for enlisting people into clinical trials. Similar to Apervita, these companies are looking to remove the process of manual data collection and use an existing wealth of data to uncover insights, in this case, clinical trial eligibility.
This could be the first step in solving the gap between the number of patients that are willing to participate in clinical trials with the less than one percent of Americans who actually do participate.
It’s clear that there’s a lot of data in EHRs that can be used to improve patient care, patient outcomes, and even clinician satisfaction. The problem is often finding the right AI or extraction tool that can make sense of the 80% of data that is unstructured in the medical record.
While the partnerships we’re talking about here make use of the data already in a patient’s medical record, Extract’s HealthyData aims to get better information into the EMR from the outset. While interfaces have made life easier, it’s just not possible, or frankly fiscally responsible, to have an interface with every entity sending you faxes, scans, and other results.
This is where our AI-powered data extraction software comes into play. It reads and classifies documents regardless of structure, then finds the key pieces of discrete data you want, delivering them and the document to your EMR, DMS, or other downstream system.
If you’re…
Manually keying in discrete data
Having physicians searching through images in the EMR for clinical data
Seeing errors in your data
Experiencing clinician burnout or HIM turnover
Staring at a backlog of paper
…then you could probably benefit from HealthyData. Send us an email or give us a call and we’d be happy to demonstrate the software for you.
About the Author: Chris Mack
Chris is a Marketing Manager at Extract with experience in product development, data analysis, and both traditional and digital marketing. Chris received his bachelor’s degree in English from Bucknell University and has an MBA from the University of Notre Dame. A passionate marketer, Chris strives to make complex ideas more accessible to those around him in a compelling way.