Provider Systems: Epic

Payer Portals: OnBase, Epic

Challenge:

A large Mid-West Healthcare provider with fifteen hospitals across two states had a large document processing problem: importing Patient Consent Forms into OnBase. This is generally not an issue for most DU (Document Understanding) tools because most of the data is structured. In this case these particular documents included a stamp or label of patient demographics added by hand and placed on the document with both structured and unstructured data. This information on these labels then needed to be read and indexed into Epic. The challenge was that these labels were being placed on the documents by clinicians and in most cases were not always positioned in a way that was effectively “read” by most DU tools.

Solution:

As a trusted adviser to the client, CampTek Software brought in several DU vendors to perform a proof of concept for the provider so they could evaluate the ability of several tools to effectively read the skewed labels. Document Understanding solutions such as ABBYY, UiPath and Indico were among those reviewed.

Each product was given a sample set of documents as part of a proof of concept. From there, CampTek would analyze the ability and percentage results to present back to the client. The findings were overwhelmingly positive for Indico. Even upside down, the labels could be read immediately. For others, the test proved that if the label was more than 10% out of alignment, they had poor results. Indico immediately showed a 90% accuracy result. Indico also did not require the use of templates, like some of the other tools did.

The findings were presented to the customer and within a short time the project was approved. Also, it was stated by the project lead that once this first project was implemented, there will be additional opportunities for expansion of the Indico/CampTek managed services solution. For example, the ability to pull data and documents from Legacy systems like CPSI and replacing expensive point solutions like Edco Solarity as next projects.

• 7.4m documents first year requirements
• Hospital 1: 600/hour average (Tuesdays are the heaviest day week).
• Hospital 2: 320/hour (Tuesdays are the heaviest day week). 500-400 documents per hour per process (4 processes)
• Average file size, twenty pages or less

Any Healthcare provider

A Texas based was looking for a single source of truth that could
provide insights on their care continuum. The organization deployed Innovaccer’s Data Activation Platform, that helped them establish intact patient records, standardize care processes, and managed to deliver meaningful information. The ACO was engaged with five national and commercial payers, looking after more than 200,000 patients. With data incoming from EHRs at 60+ practices, over 280 physicians, and three labs, the ACO required a holistic view of population health. The ACO had the following data needs:
• Data aggregation and normalization from multiple facilities
• Accurate data segmentation and ensured security
• Interoperability across systems
• Gaps in care monitoring
• Quality and performance measurement

With the help of Innovaccer's platform, the outcomes were:
• Gaps in care bridged for 9,000+ lives by 25 care managers in only 6 months.
• 1 FTE saved for the network within the first month of implementation.
• One-click access to patient records, anywhere in the network.
• Network utilization monitored across 5 measures to optimize the utilization of Emergency Room facilities, Inpatient Admits, Specialist Visits, and High Tech Imaging.
• Quality of care tracked across 20 quality measures and calculated to encourage improvement in the quality scores.
• Over 200,000 patient records streamlined for 60+ practices.

Innovaccer applications rely heavily on trustworthy data formatted into a master patient index.
DAP’s EMPI engine helps in uniquely identifying members (patients) across disparate healthcare IT systems, as an imperative for any downstream applications. DAP employs a proprietary Bayesian-based flexible matching algorithm that produces an accuracy of more than 96% every time to create a Patient 360 longitudinal view.
Deployment of pediatric solution powered by data ie. pediatric centric, we collect, normalize, standardize data and then through our automated workflows find pediatric-specific care gaps and some of them are:
Well Child Visits (W15)
Child Immunization Status (CIS)
Adolescent Immunization Status (IMA)
Private Duty Nursing (PDN), and more.

This supports our pediatric solution deployment and the data powers downstream applications to show results over 100+ pediatric measures.

Data Analysts, Administrators, IT Support personnel, Business Analysts, Data Analytics Managers