The Case for Vendor Neutral Artificial Intelligence (VNAi) Solutions in Imaging

Defining VNAi

Lessons Learned from Vendor Neutral Archive (VNA) Solutions

For well over a decade, VNA solutions have been available to provide a shared multi-department, multi-facility repository and integration point for healthcare enterprises. Organizations employing these systems, often in conjunction with an enterprise-wide Electronic Medical Record (EMR) system, typically benefit from a reduction in complexity, compared to managing disparate archives for each site and department. These organizations can invest their IT dollars in ensuring that the system is fast and provides maximum uptime, using on-premises or cloud deployments. And it can act as a central, managed broker for interoperability with other enterprises.

The ability to standardize on the format, metadata structure, quality of data (completeness and consistency of data across records, driven by organizational policy), and interfaces for storage, discovery, and access of records is much more feasible with a single, centrally-managed system. Ensuring adherence to healthcare IT standards, such as HL7 and DICOM, for all imaging records across the enterprise is possible with a shared repository that has mature data analytics capabilities and Quality Control (QC) tools.

What is a Vendor Neutral Artificial Intelligence (VNAi) Solution?

The same benefits of centralization and standardization of interfaces and data structures that VNA solutions provide are applicable to Artificial Intelligence (AI) solutions. This is not to say that a VNAi solution must also be a VNA (though it could be), just that they are both intended to be open and shared resources that provide services to several connected systems.

Without a shared, centrally managed solution, healthcare enterprises run the risk of deploying a multitude of vendor-proprietary systems, each with a narrow set of functions. Each of these systems would require integration with data sources and consumer systems, user interfaces to configure and support it, and potentially varying platforms to operate on.

Do we want to repeat the historic challenges and costs associated with managing disparate image archives when implementing AI capabilities in an enterprise?

Characteristics of a Good VNAi Solution

The following capabilities are important for a VNAi solution.

Interfaces

Flexible, well-documented, and supported interfaces for both imaging and clinical data are required. Standards should be supported, where they exist. Where standards do not exist, good design principles, such as the use of REST APIs and support for IT security best practices, should be adhered to.

Note: Connections to, or inclusion of, other sub-processes—such as Optical Character Recognition (OCR) and Natural Language Processing (NLP)—may be necessary to extract and preprocess unstructured data before use by AI algorithms.

Data Format Support

The data both coming in and going out will vary and a VNAi will need to support all kinds of data formats (including multimedia ones) with the ability to process this data for use in its algorithms. The more the VNAi can perform data parsing and preprocessing, the less each algorithm will need to deal with this.

Note: It may be required to have a method to anonymize some inbound and/or outbound data, based on configurable rules.

Processor Plug-in Framework

To provide consistent and reliable services to algorithms, which could be written in different programming languages or run on different hosts, the VNAi needs a well-documented, tested, and supported framework for plugging in algorithms for use by connected systems. Methods to manage the state of a plug-in—from test, production, and disabled, as well as revision controls—will be valuable.

Quality Control (QC) Tools

Automated and manual correction of data inputs and outputs will be required to address inaccurate or incomplete data sets.

Logging

Capturing the logic and variables used in AI processes will be important to retrospectively assess their success and to identify data generated by processes that prove over time to be flawed.

Data Analytics

For both business stakeholders (people) and connected applications (software), the ability to use data to measure success and predict outcomes will be essential.

Data Persistence Rules

Much like other data processing applications that rely on data as input, the VNAi will need to have configurable rules that determine how long defined sets of data are persisted, and when they are purged.

Performance

The VNAi will need to be able to quickly process large data sets at peak loads, even with highly complex algorithms. Dynamically assigning IT resources (compute, network, storage, etc.) within minutes, not hours or days, may be necessary.

Deployment Flexibility

Some organizations will want their VNAi in the cloud, others will want it on-premises. Perhaps some organizations want a hybrid approach, where learning and testing is on-premises, but production processing is done in the cloud.

High Availability (HA) and Business Continuity (BC) and System Monitoring

Like any critical system, uptime is important. The ability for the VNAi to be deployed in an HA/BC configuration will be essential.

Multi-tenant Data Segmentation and Access Controls

A shared VNAi reduces the effort to build and maintain the system, but its use and access to the data it provides will require data access controls to ensure that data is accessed only by authorized parties and systems.

Cost Sharing

Though this is not a technical characteristic, the VNAi solution likely requires the ability to share the system build and operating costs among participating organizations. Methods to identify usage of specific functions and algorithms to allocate licensing revenues would be very helpful.

Effective Technical Support

A VNAi can be a complex ecosystem with variable uses and data inputs and outputs. If the system is actively learning, how it behaves on one day may be different than on another. Supporting such a system will require developer-level profile support staff in many cases.

Conclusion

Without some form of VNAi (such the one described here), we risk choosing between monolithic, single-vendor platforms, or a myriad of different applications, each with their own vendor agreements, hosting and interface requirements, and management tools.

Special thanks to @kinsonho for his wisdom in reviewing this post prior to publication.

SIIM 2018 Annual Meeting: A Preview

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Gaylord National Resort, National Harbor, MD

The SIIM 2018 Annual Meeting in Washington D.C. is just around the corner (May 31 to June 2). I look forward to seeing many friends, sharing ideas, and learning. I will be involved in number of sessions this year. Here is a preview.

Preparing for a Successful RFP and Contract with Vendors

Thursday, May 31 | 9:45 am – 10:45 am | Annapolis 1

In this roundtable session, participants will discuss how to best prepare for, develop, and issue an RFP, as well as how to analyze and grade the responses. We will also discuss how to best prepare for, and support, contract negotiations with a vendor.

Debate: Enterprise PACS vs. Vendor Neutral Archive (VNA): Choose Wisely

Friday, June 1 | 9:45 am – 10:45 am | Cherry Blossom Ballroom

Depending on your organization’s goals and scale of enterprise, the options available to you for an image archive can vary. In this debate-style session, we will explore the merits of using a Vendor Neutral Archive (VNA) vs. an archive provided as part of an Enterprise PACS. I am moderating the session.

Imaging IT Financials – Learn from the Masters

Saturday, June 2 | 12:45 pm – 2:45 pm | Baltimore 3/4/5

Participants that sign up for this learning lab (limited seats available) will work hands-on with experts to learn how to perform clear and compelling financial analysis. Two lab exercises—one focused on assessing cloud-based vs. on-premises image archive storage, and another on the IT investment required for rolling out the enterprise imaging solution to a newly acquired facility—will be worked on in teams. Each team will share their work with the other near the end of the session. Lab assistants will be on-hand to assist. Participants must bring a laptop or tablet with Microsoft Excel installed.

 

MIIT 2018 – May 4, 2018

In just less than a month from today on Friday May 4, 2018 (Star Wars day!), the annual MIIT (Medical Imaging Informatics and Teleradiology) conference will once again be held at the beautiful Liuna Station in Hamilton, Ontario, Canada.

This year’s theme is Connecting Imaging and Information in the Era of AI and the program features several distinguished speakers from Canada and the U.S.

Talks will cover EMR implementation, Radiology Outreach, the link between Quality and Informatics, Highly Automated Radiology (using AI), an update on IHE, and a comparison of PACS+VNA vs. Regional PACS. It will also have a panel on the impact of EMRs and AI on Radiology and a talk on AI by a speaker from IBM Watson Health.

Register Today!

MIIT Badge

IHE Buyers’ Guide – Updates for 2018

The annual update to the free, online IHE Buyers’ Guide tool has been completed.

Interactive IHE Buyers Guide

Check it out here!

Not many changes to the tool content itself for this year, but several important edits to the notes about pending integration profiles were made.

A special thanks to Kinson Ho (@kinsonho) and Brad Genereaux (@IntegratorBrad). Without their help and patience, this tool would not be possible.

RSNA 2017: PACS Reconstruction

RSNA 2017 Logo

“All the king’s horses and all the king’s men…”

Deconstructing a PACS into discrete, enterprise-scale components seems to be all the rage for many organizations. But, like many things in life, taking something apart is often far easier than putting the pieces back together (and getting something that works).

At this year’s RSNA meeting, I will chair a session on PACS Reconstruction (RCC24) on Mon 27-Nov-2017 from 2:30 to 4:00 pm CT that will focus on the challenges and opportunities of building an integrated enterprise-wide imaging solution for diagnostic review and clinical access.

Following my introduction of core concepts, we will hear from Charlene Tomaselli, Director of Medical Imaging IT at Johns Hopkins and Bob Coleman, Senior Director of Enterprise Imaging Informatics at MaineHealth on their progress and vision to providing an integrated imaging solution for their enterprises.

We will have a panel Q&A with the audience to share lessons learned and discuss how to best prepare for changes.

Enterprise PACS vs. Vendor Neutral Archive (VNA)

I recently contributed an article to HealthCareBusiness that explored the scenarios whereby the use of an Enterprise PACS—defined as a system serving multiple organizations and facilities across an enterprise—or the use of a VNA may be the right approach for an organization seeking to consolidate their image archive and provide a longitudinal patient imaging record. It also covers some scenarios where both may be required.

To some vendors, this can be an ideological debate. It can also lead to discussions about the definition of what is “vendor-neutral” or not.

What is important is understanding what problems you are trying to solve, what requirements exist for the overall solution, what benefits you expect (and a plan to measure them), and having a feasible plan to get there.

SIIM 2017

The Society for Imaging Informatics in Medicine (SIIM) annual meeting will be held on Thu June 1 to Sat June 3, 2017 in Pittsburgh. It has a great program, and by all early accounts, will be one of the best attended in years. See the complete program here. Register to attend here.

Genady and I will be participating.

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Don K Dennison

Weighing the Options: Enterprise PACS vs. VNA for Enterprise-wide Archiving

Thursday, June 1 | 3:00 pm – 3:30 pm
Science & Innovation Pavilion | Exhibit Hall Theater
#AskIndustry Session

Sharing an imaging archive is generally a good thing, but should you implement one archive and connect multiple PACS and other imaging IT systems to it, or should you build an Enterprise PACS and consolidate your various PACS into it? We will get the perspective of vendor staff that are faced with these types of questions from their customers.

TCB: TCO to the CIO for the CIIP

Friday, June 2 | 8:00 am – 9:30 am
Room 301-302
Whiteboard

The ability of a CIIP to accurately model the Total Cost of Ownership (TCO) for imaging IT application investments and operating costs are critical to getting the support of the CIO, and to getting necessary funding.

In this interactive whiteboard session, “Taking Care of Business: Total Cost of Ownership to the Chief Information Officer for the Certified Imaging Informatics Professional”, attendees will be walked through two scenarios — Multiple PACS Replacement and Consolidation and Cost Model for Shared Enterprise Imaging Platform — by faculty experienced in financial analysis and cost model development.

Combining whiteboard discussion and review of some predefined spreadsheets that provide important calculations for each scenario, this session is intended to be highly interactive with Q&A throughout. The spreadsheets used in the session will be made available to members on the SIIM website following the annual meeting.

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Genady Knizhnik

Economics of Imaging Informatics

Friday, June 2 | 4:15 pm – 5:15 pm
Pittsburgh Ballroom B
Core Topic Session

Imaging informatics teams routinely embark on new projects and have to support their operations, which depend on the right budget. Budget preparation and justification skills, as well as understanding of the right size and structure of the operational team, are important for securing required financial support. Attendees will examine the fundamentals of preparing well-defined budget requests that CIOs are looking for, as well as how to structure and staff the optimal imaging informatics team.

Medical Imaging Informatics and Teleradiology (MIIT) 2017

The 12th Annual Medical Imaging Informatics and Teleradiology (MIIT) meeting will be held on Friday April 28, 2017 at Liuna Station in Hamilton, Ontario, Canada. This year’s theme is Enterprising Imaging and AI: Welcome to the Future and the program features many fascinating talks by thought leaders, including Drs. Eliot Siegel and Chris Roth.

MIIT 2017 has an all new interactive website and meeting app for increased attendee participation.

Genady and I will each be giving a talk.

Enterprise vs. Diagnostic: Image Viewers Converging?

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Don K Dennison

As web technologies evolve, the gap between Enterprise Viewers used primarily for accessing images as part of a patient’s electronic medical record and PACS Viewers used for primary diagnostic review is rapidly closing. But how close are they, really? This talk will explore the feasibility of Radiologists using a web viewer instead of a PACS for reading.

Managing Imaging in an EMR Centric Era
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Genady Knizhnik

As health systems converge on a common electronic medical record (EMR) system and longitudinal patient record, new requirements and expectations are placed on imaging records and the systems than manage them. This talk will explore the impact that the implementation of a modern EMR has on patient and procedure information within PACS, VNA, and other imaging IT systems.

Program and Registration

See the complete program here. Register to attend here.

Meeting Sponsorship Opportunities

Interested in sponsoring MIIT 2017? Read about the available sponsor packages here, or register as a sponsor here.

IHE Buyers’ Guide Updated for 2017

Interactive IHE Buyers Guide

A new year and another update to the IHE Buyers’ Guide.

This update contains mostly minor changes in the form of some notes regarding some recent or pending updates to IHE integration profiles.

The most notable update is the addition of the Digital Breast Tomosynthesis Extension (DBT Extension) integration profile to the guide for Enterprise Viewer, PACS, and VNA products.

The IHE Buyers’ Guide is a valuable resource when using IHE integration profiles and actors to specify requirements in procurement processes, such as a Request for Proposal (RFP). It does not require you to enter any personal information and is free to use.

RSNA 2016

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In what I believe is my 15th consecutive RSNA, I have a full schedule of business meetings, committee and board meetings, with some time for connecting with friends. In addition to the typical, semi-organized chaos, I am giving two talks.

Hope to see you all in Chicago.

RCC24 – Starting a Health IT Consulting Company

Room: S501ABC
Mon 28-Nov-2016, 2:30 pm to 4:00 pm CT

RC654 – Using IHE Profiles to Plan for Medical Imaging

Room: S504AB
Thu 1-Dec-2016, 8:30 am to 10:00 am CT
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