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Description
Compatibility Level
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Use cases
EHR integrations
Client types
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Company details
Jump to:
Categories
Solutions
Description
Compatibility Level
Clients
Use cases
EHR integrations
Client types
Awards
Differentiators
Keywords
Media
Company details
OBASHI Consulting
OBASHI Consulting

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HIM Indexing Bot
HIM Indexing Bot

0 review

Categories

Solutions

Description

Product Description:
Our consultants can support organisations with a wide variety of business challenges including but not limited to; Infrastructure risk management, regulatory compliance, cyber security, business transformation. Our clients often identify a critical need to understand how their business and technology assets relate to each other and the business advantage of optimizing the flow of their data. Obashi solves this. During our consulting projects we utilise our fully scalable OBASHI cloud-based platform to automate the OBASHI Methodology allowing us to model and produce Business & IT diagrams (B&IT’s) and Dataflow Analysis Views (DAVs). Our platform has an intuitive customisable front end that allows the project team to start creating their own visual representations of the way the people, process and technology interact across an organisation. Using the 6 Obashi layers a pictorial and data rich model can be constructed. Like the flow of water, we are continually evolving at Obashi, shaping and changing our landscape. Consulting opportunities and partnerships are driven by our customers and the trends we see shaping our business. Our projects will; • Provide a framework to document and model how people, process and technology interact through a business • Create a single source of truth across an organisation • Provide dynamic reporting across people, process and technology • Provide dataflows through the people, process and technology • Provide understanding of potential disruption and highlight key risks • Align leadership and organisational expectations around a change programme, strategic importance and deliverables • Facilitate better continuity and delivery of change outcomes • Remove false consensus/misalignment amongst leadership • Drive ownership and role clarity required to succeed • Improve integrated bottom up and top down support over time • Reduce apathy/frustration and organisation wide disruption • Mitigate the potential of delayed targets due to poor preparation and assumptions
About Obashi Technology Ltd:
We Help People See Data Flow Obashi Technology Ltd is a Dataflow Technology company, headquartered in Falkirk, Scotland. Obashi Technology Ltd is the world leading dataflow expert and its co-founders have written the fundamental laws and principles around the control, management and governance of the most abundant business resource on the planet: Data. Using our unique OBASHI Methodology and OBASHI Platform, we create clarity by modelling the relationships and dependencies between business and IT assets. We help you see the ‘Big Picture’ of how your business works. We call the movement of information between people, processes, and technology: dataflow. Dataflow is the lifeblood of the modern world. It is as critical to everyday life as the flow of water, energy, and transport. We take for granted the control, management, and governance these flows, and yet when it comes to dataflow, no one speaks the same language. Our OBASHI Platform helps join the dots between people, process and technology. Our fully scalable cloud based OBASHI Platform is designed to control, manage, and govern dataflow. It automates our unique dataflow methodology and allows users to model and produce Business & IT diagrams (B&ITs) and Dataflow Analysis Views (DAVs). The OBASHI Platform has an intuitive customisable front end, which allows the user to start creating their own visual representations of the way the people, process and technology interact across their organisation. The ability to add and export data and simulate ‘what-if scenarios’ enables the user to perform analysis and reporting from the front-end, supporting business critical questioning and strategic decision making. Our OBASHI Methodology and OBASHI Platform together form the key that unlocks organisational challenges related to business optimisation, cyber security, regulatory compliance such as GDPR and PCI DSS, infrastructure risk management, and more. Obashi’s commitment to educating students of all ages on the language of dataflow is a responsibility we are proud and passionate about. As experts in all thing’s dataflow, we have developed ‘OBASHI Learn’ to support the delivery of the Higher National Certificate/Diploma (HNC/D) Unit in Data Flow with the Scottish Qualifications Authority (SQA) and Further Education Colleges. The unit was verified by SQA in 2019 and is being taught to college students across Scotland since January 2020. The methodology developed by Obashi is accredited by APMG International and an online foundation course is available through ITSMZone.
Product Description:

Regardless of the document format and structure, using Intelligent Document Processing, the CampTek HIM Indexing Bot can contextualize the data and input into any application

Some examples:

Standardized Systems this works with (add links):  

Epic 

OnBase 

Cerner (Oracle) 

eCW 

Siemens 

Availity 

Evicore 

Magellan 

UHC 

Cigna 

Any Payor with a Portal and/or API Capability 

Any EMR/HER, both large and small. 

About CampTek Software:

CampTek Software is a Full-Life-Cycle Intelligent Automation/AI SaaS Provider with proven results implementing and supporting automation solutions through our successful methodology. Our unique hosted model offers many powerful advantages including a shorter time to market, 24/7 support and overall lower cost of entry. Our approach is simple, scalable and repeatable.

CampTek will be with you on every step of your RPA & AI Journey!

Compatibility level

Select which hospital or health system you work at and see a personalized compatibility level.

Clients

Select which hospital or health system you work at and see the client list

Use Cases

Description:

None provided

Pediatric use cases:

None provided

Users:

None provided

Description:

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
Pediatric use cases:

None provided

Users:

Any Healthcare provider

EHR Integrations

Integrations:

None provided

EMR Integration & Relevant Hardware:

None provided

EMRs Supported:

None provided

Hardware Compatibility:

None provided

Integrations:

Acute care EMR, Ambulatory EMR, Ancillary EMR, ERP system, Patient portal, Pop health platform, Home health, Behavioral health, Community based organizations, ADT, Access +/or revenue cycle, Credentialing, Website / public online sources, Other

EMR Integration & Relevant Hardware:

None provided

EMRs Supported:

Epic, Cerner, Meditech, Allscripts, NextGen, athena, GE, eClinicalWorks, McKesson, Other, Allscripts/Eclipsys, Athenahealth, Azalea Health/Prognosis, CPSI, Evident, Healthland, MEDHOST, MedWorx, QuadraMed, Self-developed, Would prefer not to disclose, Point Click Care

Hardware Compatibility:

None provided

Client Types

None provided
None provided

Awards

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Differentiators

Differentiators vs EHR Functionality:

None provided

Differentiators vs Competitors:

None provided

Differentiators vs EHR Functionality:

We offer Intelligent Automation as a Managed Service and have successfully built automations for every major EHR.

Differentiators vs Competitors:

We not only focus on development but also full support of bots once they are in production. Each bot has its own custom dashboard view so that our customers are continuously informed of its daily trransaction metrics and KPIs.

Keywords

Images

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Videos

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HIM-dex Case Study (Intelligent Document Understanding)

Downloads

No content provided

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HIM-dex Case Study.pdf

Alternatives

Company Details

Founded in 2016

Founded in 2018

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