BPM+

What is BPM+?

BPM+ (BPM Plus) is a powerful framework that combines industry-standard modeling languages to help organizations clearly define, automate, and improve their decisions, processes, and data flows. Instead of relying on ambiguous natural language documents, BPM+ enables clear, shareable, and executable visual models that bridge the gap between human intent and digital automation.

At its core, BPM+ combines the strengths of the following open standards from the Object Management Group, Inc. (OMG®):

Together, these standards form a cohesive modeling ecosystem that supports end-to-end business transformation, governance, and automation.

Why BPM+?

Most organizations rely on written documents to define processes and rules, but natural language often introduces ambiguity and inconsistency. BPM+ replaces this with precise, visual models that are easier to understand, validate, and automate.

Whether you’re managing a hospital, onboarding a customer, processing a loan, or running DevOps pipelines, BPM+ gives you:

Key Benefits

With BPM+, your models are more than just documentation, they are living assets that drive execution and transformation.

Who Uses BPM+?

BPM+ is widely adopted by organizations that operate in complex, regulated environments and require clarity, consistency, and automation across their decisions, processes, and data. It’s especially valuable for teams looking to align business operations with digital transformation goals while ensuring regulatory compliance.

Used Across Industries

BPM+ appeals to a diverse range of medium to large enterprises, particularly in sectors where auditability, standardization, and agility are critical:

Typical users include product owners, solution architects, business process teams, compliance departments, and low-code developers who need to orchestrate business decisions and workflows, manage cases, and standardize data.

BPM+ in Financial Services

BPM+ in Financial Services

The financial services sector is a leading adopter of BPM+, driven by the need to navigate complex regulations and maintain standardized, auditable business processes.

More info on Finance

Banks, insurers, investment firms, credit unions, and GSEs use BPM+ to manage critical functions like loan origination, customer onboarding, complaint resolution, and regulatory reporting. Financial institutions rely on BPM+ to model complex decision logic for credit scoring, fraud detection, and compliance, while maintaining the transparency required for audits and regulatory reviews. With BPMN and DMN, organizations codify risk and compliance rules; with CMMN, they manage investigative and exception-driven cases; and with SDMN, they standardize data definitions across processes. BPM+ helps ensure consistency, traceability, and agility, key to staying competitive and compliant in a fast-evolving financial landscape.

As the MISMO-approved standard for expressing business rules and decisions, DMN supports end-to-end lifecycle management, from authoring and validation, to execution and exchange, across systems and platforms.

BPM+ is being used to document and automate hundreds of types of financial processes including:

With BPM+, financial institutions can model and orchestrate business decisions, ensure auditability, and demonstrate governance across systems and geographies.

BPM+ in Healthcare

BPM+ is transforming healthcare by enabling organizations to model, standardize, and automate complex clinical and administrative workflows.

More info on Healthcare

BPM+ in Healthcare

By integrating BPMN, CMMN, DMN, and SDMN standards, BPM+ supports both structured care protocols and dynamic case management, making it ideal for environments where patient care must be individualized yet evidence-based. Healthcare providers use BPM+ to improve care coordination, reduce administrative burdens, and enhance regulatory compliance. The result is greater operational efficiency, better patient outcomes, and a data-driven foundation for continuous improvement across the care continuum.

BPM+ is being used to create healthcare process flows, manage cases and orchestrate DMN decision services in hundreds of ways. Here are some representative examples:

Trisotech: A Leader in BPM+

Trisotech is a global leader in business automation and a key contributor to all four BPM+ standards: DMN, BPMN, CMMN, and SDMN. Its tools, DMN Decision Modeler, BPMN Workflow Modeler, CMMN Case Modeler, and SDMN Shared Data Modeler are recognized as the reference implementations for these standards. Together, they form the foundation of the Trisotech Digital Enterprise Suite (DES), a definitive platform for standards-based business modeling and automation.

The suite offers a visual, browser-based environment for creating and deploying BPM+ models across public or private cloud infrastructures. It includes advanced capabilities such as AI and machine learning integration via Predictive Model Markup Language (PMML) and Clinical Quality Language (CQL), as well as Attended Tasks that support human-in-the-loop validation during automation. Additionally, Trisotech’s Knowledge Entity Modeler (KEM) allows organizations to manage business vocabularies and concept models based on the Semantics of Business Vocabulary and Business Rules™ (SVBR™) standard, supporting rich, domain-specific applications in industries like healthcare and finance.

Trisotech
in Financial Services:

Trisotech
in Healthcare:

Why Choose Trisotech for BPM+?

Trisotech delivers a scalable, cloud-ready, standards-based automation platform trusted by enterprises and governments worldwide. With full support for BPM+, Trisotech enables:

Start Your BPM+ Journey

Transform your business operations with Trisotech’s BPM+ platform. Contact us today to schedule a demo or explore how BPM+ can help your organization drive clarity, automation, and compliance.

Request Demo
BPM+ icon
Trisotech

the
Innovator

View all

Decision Intelligence

What is Decision Intelligence?

Decision Intelligence (DI) is defined by Gartner as:

A practical discipline that advances decision making by explicitly understanding and engineering how decisions are made and how outcomes are evaluated, managed and improved via feedback.

It blends data science, AI, decision modeling, and domain expertise to support, augment, or automate business decisions. It treats decisions as strategic enterprise assets, ensuring that human expertise, business rules, AI insights, and organizational context are orchestrated into high-quality, auditable outcomes. Unlike traditional analytics, which stop at insight, DI connects the dots between data, rules, processes, and people, creating a closed-loop system where decisions are explicitly modeled, executed, monitored, and improved over time.

This decision-centric approach is rapidly gaining adoption across sectors, from finance and healthcare to government and public services.

How Trisotech Addresses
Decision Intelligence (DI)

Trisotech Digital Enterprise Suite (DES) is a cloud-native platform that treats decisions as first-class assets, combining decision models based on open-standards with AI and knowledge graphs to orchestrate processes, data, and human judgment. Business value is delivered by orchestrating decisions rather than just tasks or workflows. Every decision, process (workflow), case, or API is managed as a governed semantic asset, meaning it’s explainable and auditable. The platform is built on BPM+ standards (DMN for decisions, BPMN for processes, CMMN for cases, SDMN for data) to ensure model-driven interoperability and avoid vendor lock-in. A Digital Enterprise Graph (DEG) links these models with data and business vocabulary, providing rich context and reuse across the enterprise. Trisotech Decision Centric Orchestration (DCO) technology also emphasizes AI augmentation with governance: it can embed AI services (e.g. GenAI prompts, machine learning classifiers) directly into workflows while applying “TRUST” principles (Traceability, Reflectiveness, Understanding/Oversight, Separation of duty, Transparency) for safe, explainable AI use. In short, Trisotech DES is an integrated decision-centric platform combining decision automation, process orchestration, case management, and knowledge management with AI, all under strong governance. This comprehensive capability set aligns closely with Gartner’s vision of decision-centric solutions and Decision Intelligence Platforms (DIP).

What are Decision Intelligence Platforms (DIPs)?

A Decision Intelligence Platform (DIP) is a software environment that empowers organizations to model, automate, monitor, and optimize complex decisions. According to Gartner a DIP must support capabilities such as decision modeling, orchestration, composability, collaboration, execution, governance, and learning from outcomes.

Unlike standalone AI or analytics tools, a DIP delivers an end-to-end lifecycle:

This unified approach accelerates agility and ensures trust, transparency, and accountability in automated decisions.

How Trisotech Addresses
Decision Intelligence Platform (DIP)

Trisotech Decision-Centric Orchestration (DCO) technology aligns strongly with Gartner’s criteria for Decision Intelligence Platforms (DIPs) by offering explicit decision modeling and orchestration through BPM+ standards (DMN, BPMN, CMMN, SDMN). In fact, Trisotech is recognized by Gartner as a representative vendor in the DIP category. Trisotech modular, API-driven architecture supports composability and microservice deployment, while its cloud-native execution environment enables governed, traceable decision services at scale. The platform fosters collaboration among business and technical stakeholders and integrates human oversight into AI-augmented decisions via its TRUST (Traceability, Reflectiveness, Understanding, Separation, Transparency) framework. Trisotech also emphasizes governance, policy enforcement, and real-time observability to meet strict monitoring and compliance demands. Through modeling and continuous monitoring, it supports decision refinement and learning over time. Conceptually, Trisotech neuro-symbolic approach, combining business rules, knowledge graphs, and AI, embodies the principles of decision intelligence, positioning it as a fully realized and future-ready DIP.

In short, the Trisotech Digital Enterprise (DES) Suite offers:

Decision Intelligence in Financial Services

Decision Intelligence in Financial Services

In financial services, DI is transforming how firms manage risk, ensure compliance, personalize customer experiences, and detect fraud.

More info on Finance

By treating decisions as governed, repeatable assets, financial institutions can:

Decision Intelligence in financial services improves “decision quality and explainability while reducing time-to-insight and operational costs”.

How Trisotech Addresses
Decision Intelligence in Financial Services

Trisotech for Financial Services enables institutions to:

Through semantic modeling and governed orchestration, Trisotech helps financial organizations operationalize DI to accelerate innovation while maintaining compliance and trust.

Decision Intelligence in Healthcare

In healthcare, DI supports more consistent, explainable, and patient-centered decisions, from clinical pathways to administrative approvals.

More info on Healthcare

Decision Intelligence in Healthcare

DI enables:

Decision intelligence in healthcare is entering the early mainstream and is key for next-generation care orchestration and utilization management.

How Trisotech Addresses
Decision Intelligence in Healthcare

Trisotech for Healthcare provides:

By embedding decision intelligence into clinical and operational pathways, Trisotech empowers health systems to improve outcomes and reduce variability, all while maintaining transparency and trust.

Conclusion

Decision Intelligence is more than a buzzword; it’s the future of responsible automation. Whether in finance, healthcare, or any data-driven industry, the ability to model, govern, and optimize decisions is the key to agility and trust.

Trisotech leads this transformation with its Decision-Centric Orchestration technology: a complete decision intelligence platform rooted in open standards, AI augmentation, and human-AI collaboration. It’s not just automation; it’s orchestration of intelligence. A statement that could serve as a manifesto for decision intelligence.

Decision Intelligence

Trisotech provides decision-centric augmented intelligence, where humans and AI systems collaborate seamlessly to make trusted, explainable, orchestrated decisions.

Request Demo
Decision Intelligence icon
Trisotech

the
Innovator

View all

Fast-Track CMS-57 Compliance: Wrap, Comply, and Iteratively Modernize with BPM+

Presented By
Melanie Gauthier, Solution Architect, Trisotech
Denis Gagne, CEO and CTO, Trisotech
Description

Achieving CMS-57 compliance doesn’t have to mean a costly system overhaul. Learn how Trisotech’s BPM+ approach enables organizations to quickly wrap existing legacy systems for immediate FHIR compliance—while progressively modernizing capabilities at their own pace. Reduce disruption, streamline prior authorization, and future-proof your IT investments with a flexible, standards-based strategy.

Join us to see how compliance can be a catalyst for transformation.

Watch the video

Content

Presentation

View all

Fast-Track CMS-57 Compliance: Wrap, Comply, and Iteratively Modernize with BPM+

Presented By
Melanie Gauthier, Solution Architect, Trisotech
Denis Gagne, CEO and CTO, Trisotech
Description

Achieving CMS-57 compliance doesn’t have to mean a costly system overhaul. Learn how Trisotech’s BPM+ approach enables organizations to quickly wrap existing legacy systems for immediate FHIR compliance—while progressively modernizing capabilities at their own pace. Reduce disruption, streamline prior authorization, and future-proof your IT investments with a flexible, standards-based strategy.

Join us to see how compliance can be a catalyst for transformation.

View the slides

Videos

Recorded webinars

View all videos
Attend a live webinar

AI, FHIR, and BPM+ in Suicide Prevention: From Early Detection to Coordinated Care

Presented By
Dr. John Svirbely, CMIO, Trisotech
Denis Gagne, CEO and CTO, Trisotech
Description

Suicide prevention requires more than early detection—it demands seamless, patient-centered care. This session explores how AI-powered monitoring, BPM+ visual standards, and FHIR interoperability work together to detect suicidal ideation early and coordinate interventions across emergency departments, mental health specialists, and primary care.

Learn how technology-driven, standards-based orchestration enhances care continuity, reduces gaps, and ensures timely, effective support for at-risk patients.

Watch the video

Content

Presentation

View all

Dr. John Svirbely's blog post - Suicide Prevention with Modeling Tools
Dr. John Svirbely, MD
Blog

Suicide Prevention with Modeling Tools

By Dr. John Svirbely, MD

Read Time: 3 Minutes

Suicide is an important problem around the world, causing significant morbidity and mortality. It impacts family and friends, causing long-lasting wounds. Many people are interested in finding effective solutions to the problem, often looking to technology for answers.

Facts about Suicide

Before we can find effective solutions, we need to understand the problem. Figure 1 from the Centers for Disease Control and Prevention (CDC) Suicide Prevention website shows some of the relevant numbers related to suicide. The number of people committing suicide may be undercounted since there is a tendency to avoid calling a death at suicide. In addition, some forms of suicide such as death by cop can be missed.

Over 49,000 people died by suicide in 2022. That is one death every 11 minutes.

When we look at the numbers, the number of people seriously thinking about suicide is 4-5% of the population. Of this group, only 0.4% die from suicide. This suggests a heterogenous problem of varying severity that may require a complex strategy for different subpopulations.

It is often tempting when crafting a solution to make assumptions that simplify the task. In the case of suicide, it is very easy to recommend that everyone at risk be sent to the Emergency Department (ED) for assessment. However, this strategy introduces several problems. The number of people seriously thinking about suicide could overload the system. Many people who attempt suicide may have little or no health insurance, causing financial distress. Finally, because of EMTALA, an Emergency Department cannot discharge a person unless it is reasonably safe to do so. If no psychiatric hospital is willing to take a patient unable to pay, then the patient may be held in the ED for a long period, reducing the ability to see other emergencies. Any solution for the problem of suicide must address the entire spectrum of the disorder, only sending a patient to the ED when appropriate.

Screening for Suicide Using Natural Language Analysis

Several investigators have taken the approach of early detection of suicidal ideation, using natural language processing. They look for words and phrases in a patient’s communications that suggest depression or suicidal ideation. Figure 2 shows such a model that does monitoring a patient’s personal journal using Generative AI.

A model using natural language monitoring to detect suicidal thoughts.

More sophisticated systems can analyze responses over time, looking for trends and patterns. Once triggered, the model decides whether the risk is low, intermediate or high and triages the patient accordingly.

Orchestration

The patient spends the vast majority of her/his time out of touch with healthcare providers. Events that may trigger suicidal thoughts and the resources that can pull the patient back are in the home, workplace, and community. What the patient needs are interventions that prevent an escalation to crisis by optimizing personal resources. At the same time the patient needs to be able to access healthcare providers when necessary.

The patient and the patient’s care may need to be coordinated over months or years between multiple actors:

With orchestration modeling it is possible to control the interaction of all these participants over time, as shown in Figure 3.

Model showing interactions for the patient with mental health provider, emergency provider, crisis hot line and psychiatric hospital.

Hopefully, the patient can defuse the situation through interactions with community providers, family, and friends. However, if the issues escalate towards a crisis, then it is important to escalate the care according to need.

Conclusions

Suicide is an important problem around the world. Finding its solution is not simple. However, with the appropriate use of technology and modeling tools we should be able to find appropriate care for this emotionally vulnerable population.

Check out a webinar we did on that topic.

Blog Articles

John Svirbely

View all

All Blog Articles

Read our experts’ blog

View all

AI, FHIR, and BPM+ in Suicide Prevention: From Early Detection to Coordinated Care

Presented By
Dr. John Svirbely, CMIO, Trisotech
Denis Gagne, CEO and CTO, Trisotech
Description

Suicide prevention requires more than early detection—it demands seamless, patient-centered care. This session explores how AI-powered monitoring, BPM+ visual standards, and FHIR interoperability work together to detect suicidal ideation early and coordinate interventions across emergency departments, mental health specialists, and primary care.

Learn how technology-driven, standards-based orchestration enhances care continuity, reduces gaps, and ensures timely, effective support for at-risk patients.

View the slides

Videos

Recorded webinars

View all videos
Attend a live webinar

Dr. John Svirbely's blog post - Getting FHIRed Up with SDMN
Dr. John Svirbely, MD
Blog

Getting FHIRed Up with SDMN

By Dr. John Svirbely, MD

Read Time: 2 Minutes

People unfamiliar with BPM+ Health often ask if the models can work with FHIR. The answer of course is “Yes”. This can be done in several ways, but probably the best is through the use of the Shared Data Model and Notation (SDMN) standard.

What Is SDMN?

SDMN stands for the Shared Data Model and Notation, which is an open standard of the Object Management Group (OMG). Its specifications are freely accessible at www.omg.org/spec/SDMN.

SDMN offers a graphical environment where data structures can be explicitly defined. The various data types generated can then be used in the BPMN, CMMN and DMN models.

Where Does SDMN Fit In?

When creating a clinical practice guideline, you normally progress through a sequence of steps using BPMN, CMMN and DMN to capture the information.

Narrative Elicitation
Concept Model
Computational Independent Model (CIM)
Shared Data Model
Platform Independent Model (PIM)
Platform Specific Model (PSM)

The final step in the sequence is the Platform Specific Model (PSM), which stage where system integration takes place. This typically involves a bidirectional interface for importing data and exporting information. This is the step where models conforming to the SDMN can be interfaced with FHIR.

What Does SDMN Look Like?

With SDMN you can document the required data structures visually. An example of a data structure is shown in Figure 2.

SDMN Data Structure

Sex is addressed as Patient Health Record.Demographics.Sex with type tSex. To make our knowledge about sex richer, all of the relevant information about sex can be documented in the Knowledge Entity Modeler, as shown in Figure 3.

Entry for Sex in the Knowledge Entity Modeler

Is There Extra Work to Use SDMN?

At the start of a project you need to create all of the data structures that will be needed. This can take thinking and careful planning. However, the amount of work is usually quite manageable for several reasons.

First, this is work that needs to get done. Doing in an organized manner significantly reduces the rework encountered when you just jump in building models.

Second, the FHIR standard specifies the template for each datum being exchanged. This template can be implemented into SDMN. Once created it can be reused repeatedly (build once, use often).

Third, when looking at what data is used in modeling, only a relatively small number of data items are used frequently (like age or weight). Once these items have been built they can be also be used over and over again. The need to create brand new data structures is low and these will usually have a FIHR/SDMN template to start from.

If your software vendor has implemented the modeling tools properly, then you can use SDMN seamlessly with BPMN. CMMN, DMN, and the Knowledge Entity Model (KEM). Sharing the data items reduces variation, improving the quality of the models and easing maintenance.

If you would like to learn more about SDMN and are coming to HIMSS this year, just stop by one of the Trisotech booths and we will be glad to answer your questions.

Blog Articles

John Svirbely

View all

All Blog Articles

Read our experts’ blog

View all

Dr. John Svirbely's blog post - Modelling Preauthorization Part I: The Problem
Dr. John Svirbely, MD
Blog

Modelling Preauthorization Part I

The Problem

By Dr. John Svirbely, MD

Read Time: 3 Minutes

Preauthorization is the process by which a Payer determines whether it will provide coverage for a future service (drug, imaging study, surgery, etc). Each Payer provides a list of the requirements for each condition that must be met to obtain approval. The whole process is simple in theory, but it has proven to be complex in practice.

Because of perceived problems around preauthorization, the Centers for Medicare and Medicaid Services (CMS) has issued a mandate (CMS-0057) that must be met in the next few years by Providers and Payers. The goal is to improve patient care by removing some of the barriers that Patients experience in their care.

If It Were an Ideal World

In theory preauthorization should not be a problem. There are 4 core validations to be made:

1

Does the Patient have a contraindication, making the request unsuitable?

2

Does the Patient have an approved indication?

3

Is the indication significant (based on severity, stage or some other measure)?

4

Have alternative therapies that may be cheaper or less hazardous been tried?

As a rule, this can be stated as: IF the Patient does not have a contraindication AND if the Patient has an approved indication AND if the condition is significant enough AND if other options have failed, THEN the request should be approved ELSE denied.

This can be depicted in BPMN as:

BPMN Template for Pre-Authorization

This is all very straightforward. So why are there perceived problems?

Nothing Is Perfect

Unfortunately, assumptions about an ideal world tend to fail in the real world. Failures may be due to a range of factors, such as:

Potential Patient-related issues:

Potential Provider related issues:

Potential Payer related issues:

While denial of a request can always be appealed, the whole process of responding to a denial is a major pain point for Providers. Failing to appeal may mean that a Patient does not get the care that the Provider believes is necessary. On the other hand, appealing a denial can be a long and painful experience. The denial process is not standardized between Payers and can appear to be somewhat arbitrary. Providers often:

A Provider can always refer denials to a third party to manage, but the costs of doing so may become an issue when reimbursements are low. This leaves many Providers feeling trapped by a system that does not listen to them.

What Might Be an Effective Solution?

To solve these problems there is a need for:

Whether CMS will be able to provide an effective solution will depend on several factors, including any unexpected consequences of the mandates. The goals are commendable, and now it is up to the stakeholders to work together to make it a success. In the next part we will discuss how BPM+ can provide solutions to these problems.

Blog Articles

John Svirbely

View all

All Blog Articles

Read our experts’ blog

View all

Dr. John Svirbely's blog post - Healthcare Orchestration versus Healthcare Choreography: Handling Interactions Between Processes
Dr. John Svirbely, MD
Blog

Healthcare Orchestration versus Healthcare Choreography

Handling Interactions Between Processes

By Dr. John Svirbely, MD

Read Time: 3 Minutes

Modeling of a clinical practice guideline or care plan may require multiple processes assigned to different actor pools. Some of these processes may need to interact with others in a dynamic fashion. How are these interactions managed in an unpredictable world?

Some interactions may be relatively simple, such as a conditional process that is triggered by an event. However, others may be much more complex, requiring multiple exchanges between the interacting processes. For these situations we can make use of either orchestration or choreography.

What is Orchestration?

In an orchestra there is a conductor exerts central control, directing various musicians playing different instruments according to a composition. With process orchestration, one or more processes acts as the controller (“conductor”), directing other processes (“players”), according to some prescriptive flow (“composition”).

Orchestration is a stateful activity in that it needs to remember previous interactions, to maintain a record of the current state, and to know what still needs to be done. BPMN and CMMN are both stateful and can be used to orchestrate.

Examples of orchestration in healthcare include the execution of a care plan, chronic disease management or the management of a cancer patient by a multidisciplinary care team.

What is Choreography?

In choreography there is no central control. Interactions are more of a negotiation between participants with certain rules of engagement in place. Participants are typically acting independently, with choreography capturing the communications between the participant. In BPMN choreography involves the use of choreography tasks. A choreography task can stand alone or can be connected with other tasks into a choreography process.

A choreography task icon

Examples of choreography include scheduling an examination with a patient, making a referral with a consultant, or obtaining preauthorization from an insurance company.

Comparison of Orchestration versus Choreography

Both orchestration and choreography have their pros and cons. The choice of using one or the other depends on your needs and goals.

Feature
Orchestration
Choreography
Centralized control
Yes
No
Coupling
Tight
Loose
Complexity
Simple
Complex
Cost of maintenance
High
Low
Action
Prescriptive
Procedural contract between interacting participants
Troubleshooting
Easy, often with a single point of failure
Complex

Incorporating these into a notional model may be simple. However, actually getting them to work properly in an automated process can be challenging, especially for novices.

For healthcare a common approach is to use orchestration implemented with BPMN. These orchestrations may need to extend beyond interactions between BPMN processes and pools. They may also need to control data acquisition and connections to outside systems impacting the patient’s care, such as generative AI.

Orchestration in a Healthcare Solution

Conclusion

When dealing with different processes or actor pools that need to interact, modelers use orchestration or choreography. The particular choice depends upon the conditions and the goals. Having choices allows for flexibility in designing a solution that can serve both current needs as well as evolve over time as conditions change.

Blog Articles

John Svirbely

View all

All Blog Articles

Read our experts’ blog

View all

Clinician-Centric Data and AI Integration in Healthcare

Presented By
John Svirbely, MD CMIO Trisotech
Denis Gagne CEO & CTO Trisotech.
Description

Gain insights into the orchestration of data, knowledge and AI in support of decision-making in healthcare. We explore the thought processes of clinicians when accessing data for decision-making. We then discuss concepts and semantic lifting using concept maps, highlighting the importance of context in interpreting data. The session also covers structured data for FHIR interoperability through SDMN, demonstrating the significance of data reuse and integration in healthcare. By focusing on cleanliness and relevance, we examine the role of data in various AI approaches, including machine learning and generative AI. This webinar aims to showcase how clean, well-structured data can empower clinicians and improve patient outcomes.

Watch the video

Content

Presentation

View all

Clinician-Centric Data and AI Integration in Healthcare

Presented By
John Svirbely, MD CMIO Trisotech
Denis Gagne CEO & CTO Trisotech.
Description

Gain insights into the orchestration of data, knowledge and AI in support of decision-making in healthcare. We explore the thought processes of clinicians when accessing data for decision-making. We then discuss concepts and semantic lifting using concept maps, highlighting the importance of context in interpreting data. The session also covers structured data for FHIR interoperability through SDMN, demonstrating the significance of data reuse and integration in healthcare. By focusing on cleanliness and relevance, we examine the role of data in various AI approaches, including machine learning and generative AI. This webinar aims to showcase how clean, well-structured data can empower clinicians and improve patient outcomes.

View the slides

Videos

Recorded webinars

View all videos
Attend a live webinar

Preemptively managing the side effects of cancer treatment through model-driven clinical decision support: A case study.

Presented By
Michael Carey Scalzo, MPH
Director, Dana-Farber Pathways
Description

Cancer treatment has side effects. Regardless of their diagnosis, all cancer patients have the potential to experience a wide range of symptoms related to therapy or the progression of their disease. Given that the current approach to symptom management is often fragmented and reactive, Dana-Farber Cancer Institute has launched an innovative initiative to preemptively managed the side effects of cancer therapy by leveraging digital technologies. Central to this effort is Dana-Farber’s partnership with Trisotech to integrate clinical decision support automation into providers’ existing Epic EHR workflows.

Watch the video

Content

Presentation

View all

Dr. John Svirbely's blog post - In Healthcare: To Automate or Not to Automate, that is the Question
Dr. John Svirbely, MD
Blog

In Healthcare:
To Automate or Not to Automate, that is the Question

By Dr. John Svirbely, MD

Read Time: 3 Minutes

With modeling tools, you can define complex processes such as clinical guidelines. In theory these models can be automated. In practice it may be wise not to automate everything. The decision to automate depends on several factors, such as your goals and the problems that you need to solve. Automation is not without costs, and you need to consider the return on your investment (ROI).

The Decision to Automate

Certain processes or decisions are more attractive to automate than others. To identify these, you may ask some questions:

How much data that the models require and how easy it is to obtain are key issues. If the automated process constantly interrupts the user or requires a large amount of data, then it may bring little value to the organization. One solution may be to have standing orders in place that will guarantee that the required data is always collected and available when it is needed.

The Emergency Department is an excellent example of practice setting which can be a challenge to automate. The environment can be chaotic, and some patients require dynamic care that is determined on the fly. Such tasks are a challenge to automate. However, even in the ED there are other processes where automation can relieve staff from drudgery and free them up for patient care.

One issue to consider relates to patient complexity. If most patients are straightforward while only a small subset are clinical challenges, then the complex patients can be triaged to a clinician while the remainder handled by an automated process. This improves overall efficiency and use of manpower.

Microservices

Even if a guideline is not fully automatable, it often contains elements that are. These can be encapsulated in microservices that are triggered when a certain set of conditions are met.

These are attractive since they often need a limited amount of data. They are easier to create and maintain. On the other hand, many of these services may be needed, which can introduce another set of challenges.

An invalid BPMN diagram

One challenge with microservices is the user experience. Having a lot of microservices means that a lot of messages could be generated and cause alarm fatigue. It is important to develop a strategy that will allow essential information to get through to the user.

Conclusions

The decision to automate or not can be challenging. Several things need to be considered such as cost, liability, acceptability, and care quality. However, considering the economic challenges faced in healthcare today, automation is an attractive idea. Some processes can and should be automated.

Blog Articles

John Svirbely

View all

All Blog Articles

Read our experts’ blog

View all

Preemptively managing the side effects of cancer treatment through model-driven clinical decision support: A case study.

Presented By
Michael Carey Scalzo, MPH
Director, Dana-Farber Pathways
Description

Cancer treatment has side effects. Regardless of their diagnosis, all cancer patients have the potential to experience a wide range of symptoms related to therapy or the progression of their disease. Given that the current approach to symptom management is often fragmented and reactive, Dana-Farber Cancer Institute has launched an innovative initiative to preemptively managed the side effects of cancer therapy by leveraging digital technologies. Central to this effort is Dana-Farber’s partnership with Trisotech to integrate clinical decision support automation into providers’ existing Epic EHR workflows.

View the slides

Videos

Recorded webinars

View all videos
Attend a live webinar

Dr. John Svirbely's blog post - Are you looking for Diagrams or Models of your Clinical Guidelines?
Dr. John Svirbely, MD
Blog

Are you looking for Diagrams or Models of your Clinical Guidelines?

By Dr. John Svirbely, MD

Read Time: 3 Minutes

Some people checking out process modelling ask the same questions over and over again. “Why can’t I use Visio instead?” “Why do I need to spend more money on software?” These are valid questions – no one wants to spend money these days on something unnecessarily. However, before reaching a decision, you should understand the implications of your choice.

Confusion arises because process modeling software such as the Trisotech Digital Enterprise Suite (DES) and drawing programs such as Visio share similar BPMN shapes. The images in drawing programs are simple and two dimensional. In process modeling each BPMN icon is the tip of an iceberg, overlying a complex infrastructure that allows for a low-code programming environment. So, while they look to be the same, they are as different as night and day.

Two Main Reasons to Model

There are 2 main reasons why people look at process modeling for capturing clinical guidelines. One is to document and describe, to better understand, or to communicate details about a guideline. This reason is referred to as “notional” modeling. The second reason is to automate the guideline.

Notional Models

Simple drawing programs work just fine for simple problems. However, what works well on a simple problem may fail with a more complex one. Implementing a clinical guideline may require orchestration of over 50 separate models and over 250 data inputs. This is a level of complexity that can be challenging to represent, and simple Visio models may not be able to carry this load.

Why does an organization spend extra money to buy process modelling software?

There are several reasons why an organization gets process modeling software. This is a goal-oriented decision to achieve a return on the investment.

First, the organization has complex guideline processes that may have failed previous attempts at quick-and-dirty solutions. Something that looks good on paper may be incomplete when put into practice – the devil is in the details. It is common when drawing an initial guideline process to underestimate the required complexity. This may even pass review by several individuals. When building a guideline process model, it is easier to be sure that the process is complete because you can recognize gaps while building.

Second, the organization needs to make sure that the models are correct. When using a drawing program anything pretty much goes, which can lead to failure. Just because you can draw something does not always mean that it will work. For example, this diagram has multiple BPMN errors that would prevent execution.

Modelling software offers a more formal representation of the process, with rules of how each shape interacts with others. The availability of validation tools can alert the modeler that violations have occurred and where they are located.

Third, process model software like Trisotech DES include an animator, which allows you to directly interact with the model by stepping through the model to observe its behavior under different circumstances. Developers can show this to end-users to confirm performance before it is accepted. Hidden problems with a process can be identified and resolved before going into production.

Finally, the organization eventually wants to automate all or parts of a guideline process. With the Trisotech modeling software the notional model is the foundation for automating the content. If validation and animation steps have been used properly, then you can feel comfortable that the final model will execute as expected.

Making the Choice

If you have something simple, are unsure about your goals, or have cost constraints, then Visio can work to some degree and Trisotech offers some free Visio templates. However, if you have a project that is complex, critical or challenging, then process modeling may be the better choice. You can request a demo and see why Trisotech is the leading low-code/no-code platform for healthcare.

Blog Articles

John Svirbely

View all

All Blog Articles

Read our experts’ blog

View all

Learn how it works

Request Demo

Confirm your budget

Request Pricing

Discuss your project

Request Meeting
Graph