My presentation on Healthcare Information Exchange technical infrastructure given as a skills building session at the eHealth Conference in Kenya (http://www.e-healthconference.or.ke/)
This tutorial provides an introduction to the major HL7 RIM derived and RIM influenced standards. The student will also learn key aspects of the HL7 V3 Development Framework (HDF).
Topics Covered:
1. HL7 Development Framework
2. HDF Methodology
3. HL7 V3 Development Artifacts
4. Sample V3 Clients and Projects
Standards Driven Healthcare Information Integration InfrastructureAbdul-Malik Shakir
Healthcare information exchange, integration, and analytic capabilities are critical to safe, cost-effective, high-quality health care.
The technical infrastructure that serves as an enabler for these capabilities is a complex array of data exchange standards, clinical terminologies, and infrastructure technologies.
This presentation provides an overview of this technical infrastructure and relevant current and emerging technologies:
1. Data Exchange Standards: HL7, X12, IEEE, ASTM, NCPDP, and DICOM;
2. Clinical Terminologies: ICD, SNOMED, LOINC, RxNORM, and CPT;
3. Infrastructure Technologies: integration engines, terminology servers, standards conformance validators, integrated data repositories, and business intelligence tools.
A presentation about the role of informatics standards in facilitating electronic data interchange, and a framework for service-oriented semantic interoperability among data systems.
This is the first installment of the hitchhiker's guide to Health Level Seven. When complete this presentation will provide a concise overview of the history, operational framework, and standards of Health Level Seven (HL7). It is intended to be a guide to those seeking to engage in the HL7 standards development effort or to be consumers of HL7 products and services.
The presentation is being written and posted in five iterations. This particular installment introduces HL7 the organization and HL7 the portfolio of health informatics standard.
A seminar made to the Tennessee Department of Health in July 2015. An introduction to HL7 standards with a focus on HL7 v3 messaging and clinical document architecture standards.
My presentation on Healthcare Information Exchange technical infrastructure given as a skills building session at the eHealth Conference in Kenya (http://www.e-healthconference.or.ke/)
This tutorial provides an introduction to the major HL7 RIM derived and RIM influenced standards. The student will also learn key aspects of the HL7 V3 Development Framework (HDF).
Topics Covered:
1. HL7 Development Framework
2. HDF Methodology
3. HL7 V3 Development Artifacts
4. Sample V3 Clients and Projects
Standards Driven Healthcare Information Integration InfrastructureAbdul-Malik Shakir
Healthcare information exchange, integration, and analytic capabilities are critical to safe, cost-effective, high-quality health care.
The technical infrastructure that serves as an enabler for these capabilities is a complex array of data exchange standards, clinical terminologies, and infrastructure technologies.
This presentation provides an overview of this technical infrastructure and relevant current and emerging technologies:
1. Data Exchange Standards: HL7, X12, IEEE, ASTM, NCPDP, and DICOM;
2. Clinical Terminologies: ICD, SNOMED, LOINC, RxNORM, and CPT;
3. Infrastructure Technologies: integration engines, terminology servers, standards conformance validators, integrated data repositories, and business intelligence tools.
A presentation about the role of informatics standards in facilitating electronic data interchange, and a framework for service-oriented semantic interoperability among data systems.
This is the first installment of the hitchhiker's guide to Health Level Seven. When complete this presentation will provide a concise overview of the history, operational framework, and standards of Health Level Seven (HL7). It is intended to be a guide to those seeking to engage in the HL7 standards development effort or to be consumers of HL7 products and services.
The presentation is being written and posted in five iterations. This particular installment introduces HL7 the organization and HL7 the portfolio of health informatics standard.
A seminar made to the Tennessee Department of Health in July 2015. An introduction to HL7 standards with a focus on HL7 v3 messaging and clinical document architecture standards.
The Clinical Document Architecture (CDA®) is HL7’s
specification for standards-based exchange of clinical
documents. CDA is based on the concept of scalable,
incremental interoperability and uses Extensible Markup
Language (XML), the HL7 Reference Information Model
(RIM), and controlled terminology for structure and
semantics. This tutorial presents the business case for
CDA, its primary design principles, and an overview of the
technical specification.
Summary: This presentation provides a concise overview of the history, operational framework, and standards of Health Level Seven (HL7). It is intended to be a guide to those seeking to engage in the HL7 standards development effort or to be consumers of HL7 products and services.
Target Audience: The primary intended audience for this presentation are individuals curious about but not yet engaged in HL7 activities or the use of HL7 standards. Those already familiar with or engaged in the use or development of HL7 standards may also find the distillation of the various aspects of HL7 useful to their work.
Interoperability in health care information systemsAlexander Ask
A slide show from our bachelor thesis presentation. Its main focus is interoperability in health care and how interoperability issues can be addressed by open standardization.
In this tutorial participants will learn the history of the RIM, the method by which the RIM is maintained, and key characteristics of the RIM that make it the premier information model in healthcare.
Topics Covered:
1. Introduction to HL7: who, what, and why
2. Introduction to HL7 v3: what and why
3. History of the HL7 Reference Information Model
4. HL7 RIM Subjects, Core Classes, and Structural Attributes
5. State Machines of RIM Core Classes
6. HL7 v3 Datatypes
7. HL7 v3 Vocabulary
This tutorial will assist in preparation for the HL7 v3 Certification exam.
Presented at the 7th Healthcare CIO Certificate Program, Hospital Administration School, Faculty of Medicine Ramathibodi Hospital, Mahidol University on September 15, 2016
This slide deck was used to provide an advanced tutorial on the HL7 Clinical Document Architecture (CDA) standard. It has shared copyright with Health Level Seven. CDA is an HL7 document exchange standard.
Theera-Ampornpunt N. HL7 Clinical Document Architecture: overview and applications. Presented at: HL7 CDA Workshop at the Faculty of Medicine Ramathibodi Hospital; 2013 Jun 20-21; Bangkok, Thailand. Invited speaker, in Thai.
Michael van Campen
Affiliate Director, HL7 Board of Directors and Chair, HL7 Canada
Jean Duteau
Co-chair of HL7 Modeling & Methodology, Implementable Technology Specifications, and Tooling workgroups
(2/11/10, Workshop 2, 9.30)
The Clinical Document Architecture (CDA®) is HL7’s
specification for standards-based exchange of clinical
documents. CDA is based on the concept of scalable,
incremental interoperability and uses Extensible Markup
Language (XML), the HL7 Reference Information Model
(RIM), and controlled terminology for structure and
semantics. This tutorial presents the business case for
CDA, its primary design principles, and an overview of the
technical specification.
Summary: This presentation provides a concise overview of the history, operational framework, and standards of Health Level Seven (HL7). It is intended to be a guide to those seeking to engage in the HL7 standards development effort or to be consumers of HL7 products and services.
Target Audience: The primary intended audience for this presentation are individuals curious about but not yet engaged in HL7 activities or the use of HL7 standards. Those already familiar with or engaged in the use or development of HL7 standards may also find the distillation of the various aspects of HL7 useful to their work.
Interoperability in health care information systemsAlexander Ask
A slide show from our bachelor thesis presentation. Its main focus is interoperability in health care and how interoperability issues can be addressed by open standardization.
In this tutorial participants will learn the history of the RIM, the method by which the RIM is maintained, and key characteristics of the RIM that make it the premier information model in healthcare.
Topics Covered:
1. Introduction to HL7: who, what, and why
2. Introduction to HL7 v3: what and why
3. History of the HL7 Reference Information Model
4. HL7 RIM Subjects, Core Classes, and Structural Attributes
5. State Machines of RIM Core Classes
6. HL7 v3 Datatypes
7. HL7 v3 Vocabulary
This tutorial will assist in preparation for the HL7 v3 Certification exam.
Presented at the 7th Healthcare CIO Certificate Program, Hospital Administration School, Faculty of Medicine Ramathibodi Hospital, Mahidol University on September 15, 2016
This slide deck was used to provide an advanced tutorial on the HL7 Clinical Document Architecture (CDA) standard. It has shared copyright with Health Level Seven. CDA is an HL7 document exchange standard.
Theera-Ampornpunt N. HL7 Clinical Document Architecture: overview and applications. Presented at: HL7 CDA Workshop at the Faculty of Medicine Ramathibodi Hospital; 2013 Jun 20-21; Bangkok, Thailand. Invited speaker, in Thai.
Michael van Campen
Affiliate Director, HL7 Board of Directors and Chair, HL7 Canada
Jean Duteau
Co-chair of HL7 Modeling & Methodology, Implementable Technology Specifications, and Tooling workgroups
(2/11/10, Workshop 2, 9.30)
6/29/2016 library.ahima.org/PB/DataStandards#appxA
http://library.ahima.org/PB/DataStandards#appxA 1/20
Data Standards, Data Quality, and Interoperability (2013
update)
Remove from myBoK
Editor's note: This update replaces the 2007 practice brief "Data Standards, Data Quality, and Interoperability."
Data quality and consistency are critical to ensuring patient safety, communicating delivery of health services, coordinating
care, and healthcare reporting. Assessing the quality and consistency of data requires data standards. This practice brief
provides health information management (HIM) professionals with a clear understanding of data standards as a tool to
enable interoperability and promote data quality.
The online version of this practice brief [...] is accompanied by an appendix that provides HIM professionals with a list of
standards to reference in data dictionary development, electronic health records, the exchange of health information, and
general data management processes to ensure information integrity and reliability. Evaluation of data validity, reliability,
completeness, and timeliness are accomplished through a combination of human and machine processes in healthcare, and
the list of data standard sources is a helpful reference guide when more detailed information is required.
Data Standards and Regulatory Framework
Data standards are "documented agreements on representations, formats, and definitions of common data. Data standards
provide a method to codify invalid, meaningful, comprehensive, and actionable ways, information captured in the course of
doing business." Rules to describe how the data is recorded to ensure consistency across multiple sources is another way to
think of data standards. Without data standards and data quality, the future of interoperability is bleak. Data fields and the
content of those fields need to be standardized.
Standards development organizations (SDOs) address a variety of aspects of health information and informatics. For
example, the American Society for Testing and Materials (ASTM) and Health Level Seven (HL7) target clinical data
standards. Insurance and remittance standards are a focus of the Accredited Standards Committee (ASC) X12. Standards to
transmit diagnostic images are developed through Digital Imaging and Communications in Medicine (DICOM). The
National Council for Prescription Drug Programs (NCPDP) represents pharmacy messages.
The Institute of Electrical and Electronics Engineers (IEEE), HL7, ASTM, and others develop data models and
frameworks. See the table on page 65 for a breakdown of regulatory agencies responsible for working with the American
National Standards Institute (ANSI) to drive data standards to achieve interoperability.
The AHIMA Leadership Model states that HIM professionals should serve as the leaders in healthcare organizations and in
their professional community for ensuring that data content standards are identified, understood, implemented, a.
6/29/2016 library.ahima.org/PB/DataStandards#appxA
http://library.ahima.org/PB/DataStandards#appxA 1/20
Data Standards, Data Quality, and Interoperability (2013
update)
Remove from myBoK
Editor's note: This update replaces the 2007 practice brief "Data Standards, Data Quality, and Interoperability."
Data quality and consistency are critical to ensuring patient safety, communicating delivery of health services, coordinating
care, and healthcare reporting. Assessing the quality and consistency of data requires data standards. This practice brief
provides health information management (HIM) professionals with a clear understanding of data standards as a tool to
enable interoperability and promote data quality.
The online version of this practice brief [...] is accompanied by an appendix that provides HIM professionals with a list of
standards to reference in data dictionary development, electronic health records, the exchange of health information, and
general data management processes to ensure information integrity and reliability. Evaluation of data validity, reliability,
completeness, and timeliness are accomplished through a combination of human and machine processes in healthcare, and
the list of data standard sources is a helpful reference guide when more detailed information is required.
Data Standards and Regulatory Framework
Data standards are "documented agreements on representations, formats, and definitions of common data. Data standards
provide a method to codify invalid, meaningful, comprehensive, and actionable ways, information captured in the course of
doing business." Rules to describe how the data is recorded to ensure consistency across multiple sources is another way to
think of data standards. Without data standards and data quality, the future of interoperability is bleak. Data fields and the
content of those fields need to be standardized.
Standards development organizations (SDOs) address a variety of aspects of health information and informatics. For
example, the American Society for Testing and Materials (ASTM) and Health Level Seven (HL7) target clinical data
standards. Insurance and remittance standards are a focus of the Accredited Standards Committee (ASC) X12. Standards to
transmit diagnostic images are developed through Digital Imaging and Communications in Medicine (DICOM). The
National Council for Prescription Drug Programs (NCPDP) represents pharmacy messages.
The Institute of Electrical and Electronics Engineers (IEEE), HL7, ASTM, and others develop data models and
frameworks. See the table on page 65 for a breakdown of regulatory agencies responsible for working with the American
National Standards Institute (ANSI) to drive data standards to achieve interoperability.
The AHIMA Leadership Model states that HIM professionals should serve as the leaders in healthcare organizations and in
their professional community for ensuring that data content standards are identified, understood, implemented, a ...
Healthcare software development has witnessed significant advancements in recent years, and one key area that has gained attention is healthcare information exchange (HIE). The exchange of patient data and health information between different healthcare systems and providers plays a crucial role in improving care coordination, patient outcomes, and overall healthcare delivery. In this blog, we will explore the benefits and challenges of healthcare information exchange in the context of healthcare software development.
CHALLENGES IN CAPTURING RICH PATIENT HISTORY IN COMPUTABLE FORM/GLOBAL & INDI...Dolisha Warbi
reasons for having a challenges of capturing rich patient histories in computable form, latest global development and standards to enable lifelong electronic health records to be integrated from diverse system, latest India developments and standards to enable lifelong EHR,
با گسترش فناوری اطلاعات و سرویس های مختلفی امروزه در زندگی انسان ها ارائه می شود حوزه سلامت و درمان هم بی بهره از این گسترش فناوری نبوده و در صورتی که سیاستمداران و برنامه ریزان کشور بتوانند از ظرفیت های ترکیب دانش پزشکی و فناوری اطلاعات بهره ببرند شاید با وجود افزایش جمعیت کهنسال و نیاز به رسیدگی های خاصی که در این قشر احساس می شود بتوان در کاهش هزینه های درمان گامی برداشت
Importance of Interoperability in Healthcare.pdfsonalee10
Explore how seamless data exchange and integration across healthcare systems and devices can improve care coordination, enhance clinical decision-making, and enable efficient healthcare delivery.
In today’s healthcare landscape, patients frequently receive treatment from many doctors in various healthcare locations. Interoperability is critical in this complicated context. Interoperability refers to the capacity of multiple healthcare systems and technology to interact and share data easily, increasing the quality and continuity of patient treatment. With the promise to improve speed, accuracy, and patient outcomes, interoperability has become critical for healthcare professionals, governments, and patients. In short, interoperability is the glue that ties the modern healthcare system together, ensuring patients receive the best possible treatment at every point of their healthcare journey.
Visit AITechPark for cutting-edge Tech Trends around AI, ML, Cybersecurity, along with AITech News, and timely updates from industry professionals!
What is Healthcare Interoperability?
Consider interoperability a common language that various systems (such as mobile applications, third-party systems, electronic health records, and others) utilize to interact. They do this through healthcare data interchange architectures, application programming interfaces, and standards. Without healthcare interoperability, healthcare providers and others would be unable to access crucial information, and data would be isolated. Just as two people speaking different languages cannot communicate without the assistance of a translation, several systems cannot share data without a common language.
HI300 Unit 5 Standards for Electronic Data and Data Interchange -.docxAbramMartino96
HI300 Unit 5: Standards for Electronic Data and Data Interchange - Discussion
Standard Development Organizations
Identify and research standard development organizations listed in the text on pp. 165–166
.
Select one of the organization’s websites and identify at least 3-4 facts about this organization and explain what it does.
Do not duplicate your classmates’ information. Note: You may explore the internet for recent articles about the organization and include this information as well.
When responding to your classmates describe similarities and differences between the organizations you researched.
Discussion responses should be strictly on topic, original with scholar references, and contribute to the quality of the discussion by making frequent informed references to lesson material.
NO PHARGIARISM!!
Below is the Chapter 4 reading for this assignment.
Standards for Electronic Data and Electronic Data Interchange
The original uniform data sets such as the UHDDS and the UACDS were created for use in paper-based (manual) health record systems. They were not designed to accommodate the data needs of the current healthcare delivery system or the demands of EHRs and clinical information systems.
Standards are needed in order for data to be easily, accurately, and securely communicated and exchanged electronically among various computer systems. This is referred to as interoperability. Without standards for interoperability, EHRs and the NHIN will not realize their full benefits (Thompson and Brailer 2004).
Many types of standards are being developed to support the EHR and health information exchange. Some involve defining record structure and content, others specify technical approaches for transmitting data, and still others provide rules for protecting the privacy and security of data.
Public and private organizations have been actively engaged in the process of developing healthcare informatics standards to support EHR development, interoperability, and information exchange. The federal government supports this work in a variety of ways. One example is the S&I Framework. According to Fridsma (2010 slide 4), the Framework “is the mechanism by which ONC will manage the implementation of specifications and the harmonization of existing health IT standards to promote interoperability nationwide.”
Definition of Data Standard for Electronic Data Exchange
Data standards provide the ability to record a certain data item in accordance with the agreed upon standard (Giannangelo 2007). Data content standards are “clear guidelines for the acceptable values for specified data fields” (Fenton et al. 2007). Data exchange standards are protocols that help ensure that data transmitted from one system to another remain comparable.
One of the purposes of HIPAA’s Administrative Simplification rules was to standardize information exchange and in August 2000, the Department of Health and Human Services (HHS) published regulations for electronic trans.
Healthcare Interoperability Solutions Market by Product Type, Distribution Ch...IMARC Group
The global healthcare interoperability solutions market size reached US$ 3.9 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 11.0 Billion by 2032, exhibiting a growth rate (CAGR) of 12.24% during 2024-2032.
More Info:- https://www.imarcgroup.com/healthcare-interoperability-solutions-market
CMS’ New Interoperability and Patient Access Proposed Rule - Top 5 Payer ImpactsCitiusTech
The recently proposed rule by the CMS introduces new policies to expand access to healthcare information and improve the seamless exchange of data in healthcare. This increased data sharing is a critical component of healthcare transformational efforts, and this eBook highlights the rules’ possible impact on payer systems and steps they need to take to manage this change effectively.
CDSS implementation with CDA generation and integration for health informatio...ijtsrd
Electronic health record helps to improve the safety and quality care of every individual patient details, that to be stored in various hospital through health information exchange. The clinical document architecture(CDA) developed by Health level seven(HL7) is core document standard that ensure interoperability of the document. Hospitals are reluctant to adopt interoperable hospital information system due to its deployment cost except for in a handful countries. A problem arises even when more hospitals start using the CDA document format because the data scattered in different documents are hard to manage. CDA document generation and integration Service based on cloud computing through which hospitals are enabled to conveniently generate CDA document per patient into a single CDA document and physician and patients can browse the clinical data in chronological order. To improve the accuracy and speed of diagnosis, health care system is important to provide the faster and efficient way. A clinical decision support system (CDSS) is a health information technology system that is designed to provide physicians and other health professionals with clinical decision support (CDS), that is assistance with clinical decision “making tasks. The system is designed by using various data mining techniques to assist the diagnosis of patients symptoms. Our system is designed with the help of Naïve Bayesian classification technique which has overcome the various data mining technique to diagnose the patient symptoms. The Naïve Bayesian classification technique provide the diagnosis of disease with the help of symptoms occurs to the patient .œClinical decision support systems link health observations with health knowledge to influence health choices by clinicians for improved health. Our system implement (CDSS) clinical decision support system looking towards the system CDSS clinical decision support system diagnose the diseases of the patient and also the CDA is generated which will be in XML form and also it can be integrated through various platforms. With the help of this system the time of patient would be saved and accurate diagnoses of the patient is done. Pooja N. Umekar | Dr. H R. Deshmukh | Prof. O. A. Jaisinghani | Prof S.V. Khedkar"CDSS implementation with CDA generation and integration for health information exchange in cloud" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd14127.pdf http://www.ijtsrd.com/engineering/computer-engineering/14127/cdss-implementation-with-cda-generation-and-integration-for-health-information-exchange-in-cloud/pooja-n-umekar
According to HIMSS Board, semantic interoperability is the ability of two or more systems exchange information and use the information that has been exchanged. Semantic interoperability allows caregivers to electronically exchange the patient summary and use that information adequately to improve quality, safety, and efficiency. The Office of National Coordinator for Health Information Technology released “Connecting Health and Care for the Nation: A Shared Nationwide Interoperability Roadmap Draft Version 1.0” that proposes critical actions that the public and private sector need to take to move toward an interoperable health information technology ecosystem over the next 10 years. Health information technologies are creating a lot of opportunities to improve health outcomes including patient quality and safety while lowering the associated costs to health care. True interoperability and the exchange of health information can support benefits for payers, patients and providers. This can be achieved through well defined standards and semantic interoperability. If the systems that will be exchanging the information are not using available standards, semantic interoperability is more difficult to reach.
Healthcare IT Systems Interoperability Market Industry Analysis and Forecast ...PriyanshiSingh187645
The global demand for healthcare IT systems interoperability was valued at USD 3658.50 Million in 2023 and is expected to reach USD 10560.29 Million in 2032, growing at a CAGR of 12.5% between 2024 and 2032.
A crucial stage in clinical research is clinical data management CDM , which produces high quality, reliable, and statistically sound data from clinical trials. This results in a significantly shorter period of time between drug development and marketing. Team members of CDM are laboriously involved in all stages of clinical trials right from commencement to completion. They should be able to sustain the quality standards set by CDM processes by having sufficient process expertise. colorful procedures in CDM including Case Report Form CRF designing, CRF reflection, database designing, data entry, data confirmation, distinction operation, medical coding, data birth, and database locking are assessed for quality at regular intervals during a trial. In the present script, theres an increased demand to ameliorate the CDM norms to meet the nonsupervisory conditions and stay ahead of the competition by means of brisk commercialization of products. With the perpetration of nonsupervisory biddable data operation tools, the CDM platoon can meet these demands. also, its getting obligatory for companies to submit the data electronically. CDM professionals should meet applicable prospects and set norms for data quality and also have the drive to acclimatize to the fleetly changing technology. This composition highlights the processes involved and provides the anthology an overview of the tools and norms espoused as well as the places and liabilities in CDM. Syed Shahnawaz Quadri | Syeda Saniya Ifteqar | Syed Shafa Raoof "Data Management in Clinical Research" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-2 , April 2023, URL: https://www.ijtsrd.com.com/papers/ijtsrd55050.pdf Paper URL: https://www.ijtsrd.com.com/pharmacy/other/55050/data-management-in-clinical-research/syed-shahnawaz-quadri
Healthcare Interoperability: The Key to Leveraging Health TechMityung
Despite some setbacks, the digitalization of healthcare holds great promise for global health improvements. Health information technology (HIT) systems are taking over the healthcare industry.
For further information click here
https://www.mityung.com/
Data-driven Healthcare for ManufacturersLindaWatson19
Medical Device Equipment and Hospital Supplies Manufacturers also face increased pressure to comply with strict regulatory procedures to ensure patient safety. Product transparency and efficient end-to-end processes that optimize the manufacturing process and decision making are very important.
Data-Driven Healthcare for Manufacturers Amit Mishra
Data-driven healthcare empowers the providers with a common data platform to discover untapped data-driven opportunities. Healthcare data and its impact on the patient care decision process via accurate, real-time, reliable data from disparate sources is creating a digital health revolution. Physician groups, nursing facilities, hospitals, pharmaceutical companies, clinical researchers, and medical equipment manufacturers are all churning out vast amounts of data during their daily operations. This data has tremendous value and can revolutionize patient care, diagnosis, real-time decisions and help deliver new, unimagined innovations with quality of patient care. Know more about data-driven healthcare at https://www.solix.com/solutions/data-driven-solutions/healthcare/
In the ever-evolving landscape of healthcare, one thing remains constant: the need for efficient, accurate, and integrated electronic health records (EHR) solutions. With the rise of patient-centric care and the demand for improved patient outcomes and provide best billing module in hospital management system, healthcare providers must adapt to these changes.
IDC White Paper - Integrated Patient Record - Empowering Patient Centric Care...buntib
Despite the growing use of electronic health records (EHRs) and health information exchange (HIE) technologies, providers and payers still face challenges with regard to accessing all the information known about a given patient or member. Patient health information can be trapped in siloed healthcare information systems, paper-based documents and processes, or non-machine-readable documents. An integrated view of patient information improves the experience of clinicians by enabling them to better serve their patients, which in turn leads to better outcomes. The ability to create comprehensive patient-centric records is crucial for improving not only quality of care but also patient safety.
Similar to Hi3 Solutions: Accelerating HIE standards conformance (20)
In this slide deck, I present two recently approved FHIR implementation guides: vital records death reporting (VRDR) and chronic disease bi-directional electronic referrals (BSeR). The objective of this presentation is to share insights regarding the processing steps required to go from concept to design, from design to published standard, and published standard into implementation. The VRDR and BSeR FHIR Implementation Guide STUs are used to illustrate and facilitate these learning objectives.
This slide deck was used to provide an introductory tutorial on the HL7 Clinical Document Architecture (CDA) standard. It has shared copyright with Health Level Seven. CDA is an HL7 document exchange standard.
This presentation provides a concise overview of the history, operational framework, and standards of Health Level Seven (HL7). It is intended to be a guide to those seeking to engage in the HL7 standards development effort or to be consumers of HL7 products and services.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Hi3 Solutions: Accelerating HIE standards conformance
1. Your Healthcare Standards Conformance Partner
Accelerating Adoption of Health
Information Exchange Standards
AbdulMalik Shakir
President and Chief Informatics Scientist
2. Electronic Health Information
The use of Electronic Health
Records and the demand for
electronic exchange of health
information from one health
care professional to another is
growing along with national
efforts to improve the quality,
safety and efficiency of health
care delivery.
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3. National Health Programs
Meaningful use requirements,
new payment approaches,
and federal financial
incentives are all driving the
interest and demand for
health information exchange.
Similar initiatives are
underway in other nations
throughout the world.
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4. Healthcare Informatics Standards
Healthcare organizations have
found it advantageous to
collaborate in the pursuit of
solutions to healthcare
information management issues.
Healthcare provider, payer, vendor,
consulting, and regulatory
organizations have formed
industry groups to study
information management issues
and develop standard solutions to
their common problems.
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5. Electronic Health Information Exchange
Claims/Prescriptions
Referral Process
Eligibility
Claim Status
Referral Process
Eligibility
Claim/Status
Payors
Pharmacies
Physicians
Public Health
Medical Society
Medical Records
Patient Data
Family Planning
Lab results
Mental Health
Hospitals
County/Community
Entities
Enrollment
Orders
Insurance Updates
Health Information
Results
Images
Testing Organizations
Lab/Images
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Employers
Government
Medicare/Medicaid
Patients/Consumers
Accelerating Adoption of Health
Information Exchange Standards
October 14, 2013
6. Healthcare Data Interchange Standards
HL7
X12N
X12N / HL7 (Non-US only)
NCPDP
Healthcare
Information
System
HL7
HL7
HL7, X12N
DICOM
IEEE MIB,
ASTM
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HL7
Accelerating Adoption of Health
Information Exchange Standards
HL7, X12N
October 14, 2013
7. Leading U.S. Healthcare Data Interchange SDOs
IEEE
Institute of Electrical and Electronic
Engineers
NCPDP
National Council for Prescription Drug
Programs
X12N
Insurance Subcommittee of X12
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ASTM
American Society for Testing and
Materials
DICOM
Digital Imaging and Communications in
Medicine
HL7
Health Level Seven
Accelerating Adoption of Health Information Exchange Standards
October 14, 2013
8. Leading U.S. Healthcare Data Interchange SDOs
IEEE
Instrumentation communication standards
and generalized information interchange
standards
ASTM
Lab reporting standards and standard guide
for content and structure of computerbased patient records
NCPDP
DICOM
Standards for communication of
prescription, billing, and other pharmacy
material
Standards for exchanging digital radiology
images
X12N
HL7
Standards for exchange of healthcare
insurance and billing information
Inter-application interoperability standards
for healthcare
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9. HL7 and X12N
HL7
Insurance / Billing
X12N
Clinical / Administrative
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HL7 and X12N are standards
development organizations
accredited by the American
National Standards Institute
(ANSI).
Each organization adheres to a
strict and well-defined set of
operating procedures that ensures
consensus, openness and balance
of interest.
HL7 develops standards that
enable disparate healthcare
applications to exchange key sets
of clinical and administrative data.
X12N develops specification that
enable the electronic interchange
of healthcare insurance and claims
processing data.
Accelerating Adoption of Health Information Exchange Standards
October 14, 2013
10. An X12N Data Interchange Scenario
Patient Billing
Application
System
Dataset
Program
Module
Outbound
Transformation
Inbound
Transformation
A to B
Transformation
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Dataset
Patient Billing
Application
System
B to A
Transformation
Inbound
Transformation
Claims Processing
Application
System
User Interface
Outbound
Transformation
Program
Module
User Interface
Accelerating Adoption of Health Information Exchange Standards
Claims Processing
Application
System
October 14, 2013
11. An HL7 Data Interchange Scenario
Order Entry
Application
System
Dataset
Program
Module
Outbound
Transformation
Inbound
Transformation
A to B
Transformation
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Dataset
Order Entry
Application
System
B to A
Transformation
Inbound
Transformation
Laboratory
Application
System
User Interface
Outbound
Transformation
Program
Module
User Interface
Accelerating Adoption of Health Information Exchange Standards
Laboratory
Application
System
October 14, 2013
12. Reaching the Limits of Application
Interfaces
Decision
Support
Electronic
Health Record
Lab
Radiology
Pharmacy
?
External
Systems
?
Order Entry
ADT
?
Administrative
Systems
Enterprise
Systems
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13. HIE Standards: Why
• The number of interfaces between N systems is given by the formula (N2-N)/2.
• Linking 2 systems only needs 1 interface, (22 – 2) / 2 = 1;
• Linking 6 systems needs as many as 15 interfaces, (62 – 6) / 2 = 15
• The benefits of using standard increase rapidly with the number of systems involved.
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14. HIE Standards: Why
Interfaces Requirements
120
100
Interfaces
80
60
40
20
0
2
3
4
5
6
7
8
9
10
11
12
13
14
15
W/O HL7
1
3
6
10
15
21
28
36
45
55
66
78
91
105
With HL7
2
3
4
5
6
7
8
9
10
11
12
13
14
15
System s
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Tolerable
Painful
Accelerating Adoption of Health Information Exchange Standards
Intolerable
October 14, 2013
15. Health Information Exchange
Effective, meaningful health information exchange
requires that all parties involved in information
exchange adhere to predetermined transaction formats,
usage constraints, and encoding rules.
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16. Healthcare Information Integration Infrastructure
Your healthcare standards conformance partner
Product Domains
Health Information Integration
Health Information Standards Compliance
Healthcare Quality and Performance Measurement
Service Offerings
Consulting and Contracted Resources
Education and Training
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17. Health Information Standards Compliance
Hi3 Solutions’ STANDARDS CONFORMANCE VALIDATOR™ (SCV) is a
comprehensive suite of application services that validates compliance with
healthcare information exchange standard specifications and conformance
with related implementation guides and profiles.
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18. STANDARDS CONFORMANCE VALIDATOR
Standard HIE Transaction Specifications
Standard Clinical Terminology Code Systems
Data Item Specific Value Sets
Use Case Driven Specification Profiles
Data Exchange Instance Validation
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19. Short List of HIE Standards
Standards
Exchange Structures
HL7 v2.x
HL7 v3 Messages
HL7 v3 CDA Documents
ASC X12 v5010
Code Systems
Profiles / Guides
SNOMED CT
LOINC
CPT
ICD
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HL7
Case Notification
Laboratory Reporting
Immunization
Consolidated CDA
X12
834 Benefit Enrollment
837 Health Care Claim
835 Health Care Claim Payment
Accelerating Adoption of Health Information Exchange Standards
October 14, 2013
20. Health Information Integration
Hi3 Solutions’ HEALTH INFORMATION INTEGRATOR™ (HII) is a
comprehensive suite of application and database services that facilitate the
transformation of data structures, translation of clinical terminologies, and
integration of health information.
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21. HEALTH INFORMATION INTEGRATOR
Standard structure to local
structure transform
Standard structure to
standard structure transform
Coded value to coded value
translation
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Local structure to standard
structure transform
Integrated health information
data repository
Accelerating Adoption of Health Information Exchange Standards
October 14, 2013
22. Healthcare Quality and Performance Measurement
Hi3 Solutions’ HEALTHCARE QUALITY MONITOR™ (HQM) is a
comprehensive suite of data warehousing and business intelligence
solutions geared specifically toward monitoring quality and performance in
healthcare in accordance with established measurement standards.
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October 14, 2013
23. HEALTHCARE QUALITY MONITOR
RIM-based Integrated
Data Repository
RIM-based Star-Schema
Business Intelligence
database
Predefine performance
measures and metrics
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Drill-down and drillthrough capabilities
Information publication
and data export
capabilities
Data visualization and
reporting capabilities
Accelerating Adoption of Health Information Exchange Standards
October 14, 2013
24. Quality and Performance Measures
CMS: Clinical Quality Measures
NCQA: Healthcare Effectiveness Data and Information Set
JCAHO: National Quality Core Measures
CMS: Physician Quality Reporting System
BC/BS: Pay For Performance
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26. Hi3 Solutions Products
STANDARDS CONFORMANCE VALIDATOR™ a comprehensive suite of
application services that validates compliance with healthcare information
exchange standard specifications and conformance with related
implementation guides and profiles.
HEALTH INFORMATION INTEGRATOR™ a comprehensive suite of
application and database services that facilitate the transformation of data
structures, translation of clinical terminologies, and integration of health
information.
HEALTHCARE QUALITY MONITOR™ a comprehensive suite of data
warehousing and business intelligence solutions geared specifically toward
monitoring quality and performance in healthcare in accordance with
established measurement standards.
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28. Hi3 Solutions Services
Consulting and Contracted Resources [Hi3 Consulting Group]
Consulting personnel provide advisory services and expert strategic guidance, while contracted
resources provide staffing for projects to augment internal personnel and fulfill gaps in skills or available
bandwidth.
Hi3 Solutions’ CONSULTING AND CONTRACTED SERVICES are provided by a diverse set of HIT
professionals with talent and experience in all areas of healthcare informatics, health information
exchange, and health information management in general.
Contracted services are also available to design and develop of custom turnkey solutions to meet client
specific information management needs.
Education and Training [Hi3 University]
Hi3 Solutions’ EDUCATION AND TRAINING SERVICES provide the knowledge transfer, skills
development, and skills certification required to establish an effective HIT workforce.
Education is provided in the form of instructor lead classroom tutorials, custom on-site training and
certification, and online live and pre-recorded webinars.
Hi3 educational offerings include topics in the area of health informatics standards, information
modeling and vocabulary management, and healthcare information management tools and technologies.
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29. Hi3 University
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31. Hi3 Solutions,
3500 W. Olive Ave,
Suite 300,
Burbank, CA 91505
ww.hi3solutions.com
+1 800 918-6520
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