Computable clinical data has numerous high value applications including comparative effectiveness research, personalized medicine, and claims adjudication. I discuss some of the technologies involved in making patient data computable
The document discusses the components and potential of digital health, including applications, devices, and infrastructure. It describes how digital health can improve clinical care, patient safety, information dissemination, and chronic condition management. The document also discusses physician communities on social media, mobile apps for physicians and consumers, online care using telehealth, and envisions the future of digital health becoming integrated into everyday healthcare.
E Rx Capabilites Presentation March 2012SciMedicaMRC1
A brief summary of the current state of e-prescribing in the pharmaceutical industry and recommendations for assessing this trend via primary marketing research.
A set of slides that summarize how MarkLogic is being used in the healthcare industry including case studies on M*Modal and Informatics Corporation of America
An Eye on the Future A Review of Data Virtualization Techniques to Improve Re...HMO Research Network
This document discusses data virtualization techniques to improve research. It was presented by Jack A Richter with authors Lela McFarland and Christine Bredfeldt. The presentation defines data virtualization, describes different data virtualization techniques like enterprise data warehouses, data marts, distributed database links and views, and diagrams a data virtualization system. It also briefly discusses cloud databases and thanks contributors from Kaiser Permanente and Teradata.
The document discusses the problems in the US healthcare system including rising costs, lack of access, and impending insolvency of Medicare. It introduces Doctations as a solution, which is a multi-tenant internet-based healthcare system that aims to improve efficiency, quality of care, and the doctor-patient relationship. Doctations offers a fully integrated electronic medical records and practice management system as a subscription-based software as a service. It allows doctors to access patient records and communicate securely online.
Healthcare Information Technology: IBM Health Integration FrameworkIBM HealthCare
Today’s challenges to health plans call for business transformation — the individual member is now the customer. IBM can help make this transition from product model to service model with Health Integration Framework-enabled solutions
Case Study "Big Data, Little Data: Value and Transformation stemming from KP's HIT"
Learning Objectives:
∙ Learn about KP's investment in the EHR and its transformative value
∙ Learn how data and access to information has impacted clinical operations, the patient experience and how we approach research
∙ Learn how this data is more patient centric and patient empowering
The document discusses the components and potential of digital health, including applications, devices, and infrastructure. It describes how digital health can improve clinical care, patient safety, information dissemination, and chronic condition management. The document also discusses physician communities on social media, mobile apps for physicians and consumers, online care using telehealth, and envisions the future of digital health becoming integrated into everyday healthcare.
E Rx Capabilites Presentation March 2012SciMedicaMRC1
A brief summary of the current state of e-prescribing in the pharmaceutical industry and recommendations for assessing this trend via primary marketing research.
A set of slides that summarize how MarkLogic is being used in the healthcare industry including case studies on M*Modal and Informatics Corporation of America
An Eye on the Future A Review of Data Virtualization Techniques to Improve Re...HMO Research Network
This document discusses data virtualization techniques to improve research. It was presented by Jack A Richter with authors Lela McFarland and Christine Bredfeldt. The presentation defines data virtualization, describes different data virtualization techniques like enterprise data warehouses, data marts, distributed database links and views, and diagrams a data virtualization system. It also briefly discusses cloud databases and thanks contributors from Kaiser Permanente and Teradata.
The document discusses the problems in the US healthcare system including rising costs, lack of access, and impending insolvency of Medicare. It introduces Doctations as a solution, which is a multi-tenant internet-based healthcare system that aims to improve efficiency, quality of care, and the doctor-patient relationship. Doctations offers a fully integrated electronic medical records and practice management system as a subscription-based software as a service. It allows doctors to access patient records and communicate securely online.
Healthcare Information Technology: IBM Health Integration FrameworkIBM HealthCare
Today’s challenges to health plans call for business transformation — the individual member is now the customer. IBM can help make this transition from product model to service model with Health Integration Framework-enabled solutions
Case Study "Big Data, Little Data: Value and Transformation stemming from KP's HIT"
Learning Objectives:
∙ Learn about KP's investment in the EHR and its transformative value
∙ Learn how data and access to information has impacted clinical operations, the patient experience and how we approach research
∙ Learn how this data is more patient centric and patient empowering
The document provides information about Medical Communication Systems (MCS), a medical informatics company that develops electronic health record (EHR) and practice management software. MCS offers several integrated software suites for ambulatory care, hospitals, long-term care facilities, and the military. Their flagship product, mMD.net, is a full-featured EHR and practice management system that can integrate with various clinical devices, laboratories, pharmacies, and state registries. MCS partners with many technology and health services companies to provide their customers with comprehensive healthcare IT solutions.
Translational Research Intelligence - Beyond Traditional Bishc66columbia
I. The document discusses the challenges of using traditional business intelligence (BI) approaches for translational research due to the complex nature of clinical and translational data.
II. It proposes a translational research intelligence (TRI) approach with key components like a centralized data hub, data exploration and analysis tools, and an iterative process for data cleaning, standardization, and scientific insights.
III. The TRI approach emphasizes rapid iterations, collaboration between informatics and research teams, understanding the data landscape, and gaining insights from "less-than-perfect" data earlier in the process.
Bio IT World 2019 - AI For Healthcare - Simon Taylor, LucidworksLucidworks
1) An AI system implemented at Johns Hopkins Hospital helped optimize hospital operations and bed assignment. It allowed beds to be assigned 30% faster.
2) This reduced the need to keep surgery patients in recovery rooms longer than necessary by 80% and cut wait times for ER patients to receive beds by 20%.
3) The efficiencies also allowed the hospital to accept 60% more transfer patients from other hospitals.
The Expanding eClinical Universe: Streamlining Progress by Changing Current W...crystalhuntergtcbio
The document discusses how clinical trials are moving from paper-based processes to electronic systems to improve efficiency. It highlights trends like increased adoption of electronic data capture systems and clinical trial management systems. The clinical trials IT ecosystem is becoming more interconnected through technologies that provide better data access, analytics, and responsiveness to potential drug safety issues. Vendors are offering more comprehensive eClinical solutions through hosted systems and software-as-a-service models. This transformation aims to streamline work processes and address challenges like rising costs in global clinical trials.
CER HUB An Informatics Platform for Conducting Compartive Effectiveness with ...HMO Research Network
The document describes the CER Hub, an informatics platform for conducting comparative effectiveness research using electronic medical record data. The CER Hub allows researchers to develop standardized processors to generate research datasets from heterogeneous EMR systems. It facilitates collaborative projects to address questions like evaluating asthma control and smoking cessation treatments. Initial projects through the CER Hub involve developing measures of asthma control and comparing the effectiveness of treatment intensification options using EMR data from six health systems.
Business report & product recommendationsadambcarney
The document summarizes a comparison of lighting technologies for SWD Inc. to replace 400-watt metal halide fixtures in their manufacturing facility. It recommends induction lighting as the lowest risk option, projecting a 35% energy savings and 2.7 year payback. LED lighting could provide higher savings of 48% but is riskier as an emerging technology. It suggests induction if risk tolerance is low, and working with experienced LED vendors if choosing LEDs, to ensure long-term reliability and performance warranties.
This is a re-boot of a presentation originally given on the potential role of cloud infrastructure in healthcare delivery from eHealth Canada 2012.
Key concepts are the drivers of change in healthcare, how hospitals can protect themselves when using of cloud, the potential use of enterprise content management as part of healthcare delivery and the current models that we are seeing in Canada and the US.
TAKE provides business solutions and services for the life sciences industry to help companies address challenges from increasing regulations and competition. They offer deep domain expertise, technology solutions, and business services across clinical development, regulatory, safety, and enterprise IT functions. This includes strategy consulting, data services, analytics, and application management. TAKE aims to help life sciences companies comply with regulations while remaining competitive through a unified approach combining strategic advice with efficient operations.
MacMedia is developing an innovative e-detailing service for pharmaceutical companies. The service will deliver multimedia detailing presentations to physicians' computers, bundled with unbiased sources. This addresses inefficiencies in traditional sales rep visits. The presentations are pushed to physicians based on their specialty subscriptions. MacMedia will license summarization technology and hire programmers. If successful, the service could capture 1% of pharmaceutical promotion budgets in North America by 2011. Competitors include established CRM companies, though MacMedia aims to better meet physicians' needs.
The document discusses emerging trends and innovations that are driving healthcare transformation in Canada. It identifies the top 10 healthcare game changers, including: 1) Healthcare clouds that will take health records off mainframes and make them accessible online; 2) Health analytics that will use more available data to improve decision making and care; 3) New payment models that will tie funding to quality and outcomes rather than just outputs.
This document summarizes a presentation about setting vision and strategy for health IT leaders in dynamic times. It discusses exploring new leadership skills required for effective collaboration. It also addresses aligning technology strategies with organizational services and objectives. Additionally, it covers representing the organization to external partners to achieve business goals while leveraging technology. The presentation provides approaches for health IT leaders to develop an organizational vision and strategy that can adapt to changing conditions.
The Barriers to Military Healthcare Technology Innovation and What We Can Do ...Shahid Shah
This briefing was presented at the Military Electronic Healthcare Records Symposium in Washington DC. It answers the following questions:
* Is disruptive innovation in military healthcare technology possible?
* What does innovation in military healthcare mean?
* Where are the major areas in military healthcare where innovation is required?
The EMR/EHR and Health IT Landscape for Sales ProfessionalsShahid Shah
This presentation was made to multiple national sale force teams who are selling EHRs and other health IT products.
Topics covered:
* Where do EMRs / EHRs fit and why?
* What are the most important considerations for customers?
* What are their top problems?
* How to approach customers with marketing messages that matter.
* How to cut through sales clutter.
Modern Healthcare 2014 Strategic Marketing Conference SlidesModern Healthcare
Thank you for joining us at the inaugural Strategic Marketing Conference, which took place Sept. 23 and 24 in Chicago. We hope you enjoyed the education, engaging in discussions and extending your professional networks.
Click here to view the program guide and agenda from the Strategic Marketing Conference:
http://www.modernhealthcare.com/assets/pdf/CH96416919.PDF
About the Conference:
Modern Healthcare's Strategic Marketing Conference is a two day educational conference that was held September 23 and 24, 2014 at the Hyatt Regency Chicago.
This year’s conference presented thought leaders in healthcare marketing who helped to guide healthcare marketers, focusing on consumer-driven, reform-led and economically necessary challenges. Modern Healthcare's Strategic Marketing Conference is an opportunity for healthcare marketing executives on the provider and supplier side to interact and collaborate on best practices. Throughout two days, the conference provides a unique opportunity for healthcare marketing executives and agencies representing providers, insurers, suppliers and advocacy groups to interact and collaborate on best practices.
100 Healthcare And Digital Health Influencers To Follow In 2014Marie Ennis-O'Connor
A list of healthcare and digital health influencers to follow in 2014. For an explanation of this list please visit:
http://hcsmmonitor.com/2013/12/29/100-social-media-and-digital-health-accounts-to-follow-in-2014/
The Secrets of Building Realtime Big Data Systemsnathanmarz
The architectural principles behind building systems that scale to vast amounts of data and operate on that data in realtime.
Presented at POSSCON '11.
Become Efficient or Die: The Story of BackTypenathanmarz
BackType helps businesses understand social media data through analytics tools and APIs. With a small team of 3 employees and funding of $1.4 million, they are able to process 100 million social media messages per day from over 30 terabytes of data using a 100-200 machine computing cluster. The company focuses on developing efficiently using agile and lean startup methodologies like testing hypotheses with fake features before building them out fully, avoiding overengineering, and paying down technical debt regularly through "BackSweeps".
Big Data in Healthcare Made Simple: Where It Stands Today and Where It’s GoingHealth Catalyst
The document discusses big data in healthcare, where it currently stands and its future potential uses. It explains that while big data is not necessary for most healthcare organizations currently, emerging technologies like wearable devices and whole genome sequencing will generate large amounts of diverse data requiring big data solutions. It also outlines some barriers to big data adoption in healthcare like a lack of security and need for data science expertise. The document envisions future applications of big data like predictive analytics, using additional data sources to better predict patient outcomes and needs.
Healthcare institutions are aggressively moving towards meeting compliance with MU1 and MU2 with the implementation of full-featured Electronic Health Records. Concomitantly, there will be a massive increase in the amount of clinical data captured electronically. Business intelligence (BI) which traditionally has focused on financial data can be leveraged to use clinical data to support providers in delivering high quality, efficient care. In addition, BI coupled with population health analytics can help meet many Accountable Care Organization needs. This presentation will discuss the Denver Health journey in using BI in a variety of was to facilitate the attainment of high quality care.
HIMSS National Data Warehousing WebinarDale Sanders
BMJ and other sources
• Integrated into Cerner EMR
• Action sets, order sets, reference
• Chronic condition management
• Population health monitoring
• Local quality improvement
• Data analytics and reporting
• Continuous improvement
• Outcomes and process measures
• Cost and utilization measures
• Staff education and training
• Governance and oversight
• Continuous refinement
• Continuous expansion of content
• Continuous expansion of use
• Continuous expansion of benefits
• Continuous expansion of users
• Continuous expansion of evidence
• Continuous expansion of data
• Continuous expansion of analytics
• Continuous expansion of improvement
• Continuous
The document provides information about Medical Communication Systems (MCS), a medical informatics company that develops electronic health record (EHR) and practice management software. MCS offers several integrated software suites for ambulatory care, hospitals, long-term care facilities, and the military. Their flagship product, mMD.net, is a full-featured EHR and practice management system that can integrate with various clinical devices, laboratories, pharmacies, and state registries. MCS partners with many technology and health services companies to provide their customers with comprehensive healthcare IT solutions.
Translational Research Intelligence - Beyond Traditional Bishc66columbia
I. The document discusses the challenges of using traditional business intelligence (BI) approaches for translational research due to the complex nature of clinical and translational data.
II. It proposes a translational research intelligence (TRI) approach with key components like a centralized data hub, data exploration and analysis tools, and an iterative process for data cleaning, standardization, and scientific insights.
III. The TRI approach emphasizes rapid iterations, collaboration between informatics and research teams, understanding the data landscape, and gaining insights from "less-than-perfect" data earlier in the process.
Bio IT World 2019 - AI For Healthcare - Simon Taylor, LucidworksLucidworks
1) An AI system implemented at Johns Hopkins Hospital helped optimize hospital operations and bed assignment. It allowed beds to be assigned 30% faster.
2) This reduced the need to keep surgery patients in recovery rooms longer than necessary by 80% and cut wait times for ER patients to receive beds by 20%.
3) The efficiencies also allowed the hospital to accept 60% more transfer patients from other hospitals.
The Expanding eClinical Universe: Streamlining Progress by Changing Current W...crystalhuntergtcbio
The document discusses how clinical trials are moving from paper-based processes to electronic systems to improve efficiency. It highlights trends like increased adoption of electronic data capture systems and clinical trial management systems. The clinical trials IT ecosystem is becoming more interconnected through technologies that provide better data access, analytics, and responsiveness to potential drug safety issues. Vendors are offering more comprehensive eClinical solutions through hosted systems and software-as-a-service models. This transformation aims to streamline work processes and address challenges like rising costs in global clinical trials.
CER HUB An Informatics Platform for Conducting Compartive Effectiveness with ...HMO Research Network
The document describes the CER Hub, an informatics platform for conducting comparative effectiveness research using electronic medical record data. The CER Hub allows researchers to develop standardized processors to generate research datasets from heterogeneous EMR systems. It facilitates collaborative projects to address questions like evaluating asthma control and smoking cessation treatments. Initial projects through the CER Hub involve developing measures of asthma control and comparing the effectiveness of treatment intensification options using EMR data from six health systems.
Business report & product recommendationsadambcarney
The document summarizes a comparison of lighting technologies for SWD Inc. to replace 400-watt metal halide fixtures in their manufacturing facility. It recommends induction lighting as the lowest risk option, projecting a 35% energy savings and 2.7 year payback. LED lighting could provide higher savings of 48% but is riskier as an emerging technology. It suggests induction if risk tolerance is low, and working with experienced LED vendors if choosing LEDs, to ensure long-term reliability and performance warranties.
This is a re-boot of a presentation originally given on the potential role of cloud infrastructure in healthcare delivery from eHealth Canada 2012.
Key concepts are the drivers of change in healthcare, how hospitals can protect themselves when using of cloud, the potential use of enterprise content management as part of healthcare delivery and the current models that we are seeing in Canada and the US.
TAKE provides business solutions and services for the life sciences industry to help companies address challenges from increasing regulations and competition. They offer deep domain expertise, technology solutions, and business services across clinical development, regulatory, safety, and enterprise IT functions. This includes strategy consulting, data services, analytics, and application management. TAKE aims to help life sciences companies comply with regulations while remaining competitive through a unified approach combining strategic advice with efficient operations.
MacMedia is developing an innovative e-detailing service for pharmaceutical companies. The service will deliver multimedia detailing presentations to physicians' computers, bundled with unbiased sources. This addresses inefficiencies in traditional sales rep visits. The presentations are pushed to physicians based on their specialty subscriptions. MacMedia will license summarization technology and hire programmers. If successful, the service could capture 1% of pharmaceutical promotion budgets in North America by 2011. Competitors include established CRM companies, though MacMedia aims to better meet physicians' needs.
The document discusses emerging trends and innovations that are driving healthcare transformation in Canada. It identifies the top 10 healthcare game changers, including: 1) Healthcare clouds that will take health records off mainframes and make them accessible online; 2) Health analytics that will use more available data to improve decision making and care; 3) New payment models that will tie funding to quality and outcomes rather than just outputs.
This document summarizes a presentation about setting vision and strategy for health IT leaders in dynamic times. It discusses exploring new leadership skills required for effective collaboration. It also addresses aligning technology strategies with organizational services and objectives. Additionally, it covers representing the organization to external partners to achieve business goals while leveraging technology. The presentation provides approaches for health IT leaders to develop an organizational vision and strategy that can adapt to changing conditions.
The Barriers to Military Healthcare Technology Innovation and What We Can Do ...Shahid Shah
This briefing was presented at the Military Electronic Healthcare Records Symposium in Washington DC. It answers the following questions:
* Is disruptive innovation in military healthcare technology possible?
* What does innovation in military healthcare mean?
* Where are the major areas in military healthcare where innovation is required?
The EMR/EHR and Health IT Landscape for Sales ProfessionalsShahid Shah
This presentation was made to multiple national sale force teams who are selling EHRs and other health IT products.
Topics covered:
* Where do EMRs / EHRs fit and why?
* What are the most important considerations for customers?
* What are their top problems?
* How to approach customers with marketing messages that matter.
* How to cut through sales clutter.
Modern Healthcare 2014 Strategic Marketing Conference SlidesModern Healthcare
Thank you for joining us at the inaugural Strategic Marketing Conference, which took place Sept. 23 and 24 in Chicago. We hope you enjoyed the education, engaging in discussions and extending your professional networks.
Click here to view the program guide and agenda from the Strategic Marketing Conference:
http://www.modernhealthcare.com/assets/pdf/CH96416919.PDF
About the Conference:
Modern Healthcare's Strategic Marketing Conference is a two day educational conference that was held September 23 and 24, 2014 at the Hyatt Regency Chicago.
This year’s conference presented thought leaders in healthcare marketing who helped to guide healthcare marketers, focusing on consumer-driven, reform-led and economically necessary challenges. Modern Healthcare's Strategic Marketing Conference is an opportunity for healthcare marketing executives on the provider and supplier side to interact and collaborate on best practices. Throughout two days, the conference provides a unique opportunity for healthcare marketing executives and agencies representing providers, insurers, suppliers and advocacy groups to interact and collaborate on best practices.
100 Healthcare And Digital Health Influencers To Follow In 2014Marie Ennis-O'Connor
A list of healthcare and digital health influencers to follow in 2014. For an explanation of this list please visit:
http://hcsmmonitor.com/2013/12/29/100-social-media-and-digital-health-accounts-to-follow-in-2014/
The Secrets of Building Realtime Big Data Systemsnathanmarz
The architectural principles behind building systems that scale to vast amounts of data and operate on that data in realtime.
Presented at POSSCON '11.
Become Efficient or Die: The Story of BackTypenathanmarz
BackType helps businesses understand social media data through analytics tools and APIs. With a small team of 3 employees and funding of $1.4 million, they are able to process 100 million social media messages per day from over 30 terabytes of data using a 100-200 machine computing cluster. The company focuses on developing efficiently using agile and lean startup methodologies like testing hypotheses with fake features before building them out fully, avoiding overengineering, and paying down technical debt regularly through "BackSweeps".
Big Data in Healthcare Made Simple: Where It Stands Today and Where It’s GoingHealth Catalyst
The document discusses big data in healthcare, where it currently stands and its future potential uses. It explains that while big data is not necessary for most healthcare organizations currently, emerging technologies like wearable devices and whole genome sequencing will generate large amounts of diverse data requiring big data solutions. It also outlines some barriers to big data adoption in healthcare like a lack of security and need for data science expertise. The document envisions future applications of big data like predictive analytics, using additional data sources to better predict patient outcomes and needs.
Healthcare institutions are aggressively moving towards meeting compliance with MU1 and MU2 with the implementation of full-featured Electronic Health Records. Concomitantly, there will be a massive increase in the amount of clinical data captured electronically. Business intelligence (BI) which traditionally has focused on financial data can be leveraged to use clinical data to support providers in delivering high quality, efficient care. In addition, BI coupled with population health analytics can help meet many Accountable Care Organization needs. This presentation will discuss the Denver Health journey in using BI in a variety of was to facilitate the attainment of high quality care.
HIMSS National Data Warehousing WebinarDale Sanders
BMJ and other sources
• Integrated into Cerner EMR
• Action sets, order sets, reference
• Chronic condition management
• Population health monitoring
• Local quality improvement
• Data analytics and reporting
• Continuous improvement
• Outcomes and process measures
• Cost and utilization measures
• Staff education and training
• Governance and oversight
• Continuous refinement
• Continuous expansion of content
• Continuous expansion of use
• Continuous expansion of benefits
• Continuous expansion of users
• Continuous expansion of evidence
• Continuous expansion of data
• Continuous expansion of analytics
• Continuous expansion of improvement
• Continuous
Appalla Venkataprabhakar and I presented this at the Oracle\'s Annual Clinical Development and Safety Conference 2010 at Hyderabad, India on 6th October 2010.
This document discusses how big data can help chief financial officers increase financial performance through improved predictability and visibility. It provides examples of how big data is being used across various industries to analyze sensor data, customer sentiment, web traffic, and more. It also discusses typical big data deployments, challenges of data volume and variety, and how companies like Salesforce and Informatica are helping organizations extract value and insights from large, diverse datasets.
Selecting Core Clinical It Solutions For Life Sciences Organizations – Key S...Vinoth Kumar T
This document summarizes a presentation on selecting core clinical IT solutions for life sciences organizations. It discusses the challenges life sciences companies face with drug development timelines and costs. Effective clinical data management can help address these challenges by streamlining processes, improving data quality and security, and enabling faster data review and regulatory submissions. When selecting clinical IT solutions, companies should evaluate vendors, ensure regulatory compliance, and consider costs, integration, usability, and ongoing support. A successful implementation requires understanding existing workflows, conducting pilots, addressing security risks, and having open communication channels to resolve problems.
Event brochure for the upcoming Clinical Data Standardisation and Managment event in London, June.
The event will feature best practice case studies from CDISC
This document discusses knowledge engineering for health and big data. It notes that the rate of data generation is changing but complexity, requirement to use data, and mass of useless data are stable. Knowledge engineering was first defined in 1983 as integrating knowledge into computer systems to solve complex problems. The document discusses building a knowledge engineering community and notes a need for standards around semantics, syntax, technology, and quality. It advocates for a knowledge extraction approach rather than data warehouses and discusses architectural concepts, policy and strategy considerations, and acknowledges GEN2PHEN partners and funding sources.
Presentation at NeHC: Overview of ONC's health information exchange standards-selection activities. Focuses on HITSC, the S&I Framework, and the S&I Query Health Initiative.
03 heemskerk eramind mobility mtg_trieste italy_fh_27_may10AREA Science Park
Frank Heemskerk presented on research mobility and commercialization. He discussed his background moving between academia and industry research. He emphasized the importance of networking and developing international partnerships between universities, research institutes, SMEs, and other organizations. Recommendations included improving communication between sectors, allowing flexibility in projects, and professionalizing research management to enable collaboration across borders.
FedCentric is developing scale-up and hybrid HPDA technologies to help medical professionals extract knowledge and insights from large genomic databases to improve precision medicine. Scale-out supercomputing has limitations for analyzing very large data in real time due to latency issues, while scale-up and hybrid systems can analyze massive datasets entirely in memory at faster speeds. FedCentric's solutions utilize scale-up, hybrid architectures, and different processor types to optimize performance for precision medicine tasks like genomic sequencing and data analysis.
Pistoia presentation bio it-worldexpo 21april2010Nick Lynch
The document summarizes the origins and operations of the Pistoia Alliance, a non-profit organization formed to facilitate pre-competitive collaboration in the life sciences industry. The Pistoia Alliance was formed in Pistoia, Italy by GSK, AZ, Pfizer and Novartis to address common challenges with data interchange. Its mission is to standardize data exchange to reduce costs. Current projects include developing standards for semantic enrichment of literature, sequence data services, and electronic lab notebook queries. The organization has over 30 members and operates working groups to develop open standards through a governance process.
1) Big data refers to the immense volume, variety and velocity of data that is now available.
2) As our ability to analyze big data increases, it will lead to changes such as the rise of data scientist roles and more accessible information.
3) These changes will impact media, mentality and accelerate the pace of change in society. Governance of big data use is needed to balance business, social and individual interests.
Transform to Cognitive Healthcare with IBM Software Defined Infrastructure an...Paula Koziol
Medical data is exploding. The internet of things is changing how we work and live. The healthcare industry is responding and transforming. In this cognitive and cloud era, IBM is positioned to help healthcare organizations of all sizes transform, thrive and deliver better outcomes. Learn about IBM's cognitive healthcare platform for infrastructure and how it delivers a scalable, secure hybrid cloud for GE Healthcare applications and cloud ecosystems. Review of case studies demonstrate the resiliency, flexibility and cost savings achieved while managing the velocity of enterprise imaging and healthcare data.
Dr. Chute will overview progress around data normalization and high throughput clinical phenotyping (recognizing groups of patients for quality, practice, or research use-cases from electronic medical records (EMRs). These techniques were demonstrated to generate comparable and consistent information from multiple academic medical centers with heterogeneous EMR systems and record structures in the NHGRI funded eMERGE consortium (gwas.net). Tools and techniques for data normalization and phenotyping have been generalized and partially commoditized as open-source archetypes software in the ongoing SHARPn (SHARPn.org).
This document discusses big data analytics in healthcare. It begins by defining translational bioinformatics and discussing the challenges and opportunities of big data. It then outlines how big data is generated from a variety of clinical, administrative, and other sources. Technologies like Hadoop and NoSQL databases are important for analyzing large and diverse healthcare datasets. The document argues that big data analytics can help innovate and accelerate healthcare by enabling predictive analytics, personalized medicine, and improving outcomes while reducing costs.
“The Zato Health software platform for data
liquidity and system interoperability will accelerate benefits to patients, providers, and payers from next generation medical record processing, automated coding, and reporting of quality measures leveraging the uniquely efficient and cost effective architecture of IBM POWER8 servers.”
The document summarizes the major topics in radiology IT that will be covered at the RSNA annual meeting. It discusses initiatives around monitoring patient radiation exposure through initiatives like the IHE-REM profile. It also covers efforts to improve image sharing through standards like IHE XDS for sharing images and reports between institutions. Additional areas covered include decision support, teaching/research tools like MIRC and CTP, and the use of Radlex as an ontology. RSNA's informatics committee and showcase at the annual meeting will provide more details on these initiatives.
This document discusses chronic diseases as a major problem in New York state and Governor Cuomo's efforts to address it. It outlines New York's Medicaid Redesign Team plan, which focuses on patient-centered medical homes and health homes to improve population health and lower costs. It also discusses the role of integrated care management, telehealth, and technology companies in coordinating care delivery.
The document discusses standards and coding systems used in biomedical and health informatics. It provides background on the speaker and their qualifications in the fields of medicine and health informatics. It then discusses why healthcare information standards are needed, providing examples of different types of standards including unique identifiers, standard data sets, vocabularies and terminologies, and exchange standards for messages and documents.
Data Harmonization for a Molecularly Driven Health SystemWarren Kibbe
Maximizing the value of data, computing, data science in an academic medical center, or 'towards a molecularly informed Learning Health System. Given in October at the University of Florida in Gainesville
Similar to Creating Value Through Computable Clinical Data (20)
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...Zilliz
Join us to introduce Milvus Lite, a vector database that can run on notebooks and laptops, share the same API with Milvus, and integrate with every popular GenAI framework. This webinar is perfect for developers seeking easy-to-use, well-integrated vector databases for their GenAI apps.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
1. Using Health Information
Exchange Technology to Create
Computable Clinical Data
Robert Bond
Sr. Consultant
Health Information Technology
Excella Consulting
Robert.Bond@excella.com
Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com
2. A Complete Solution
Complete Solution
Conversion of Electronic Medical Data into Information
Semantic Extraction,
Interoperability Transformation,
& Loading
Health Computable
Clinical Data
Information
Exchange Database
Technology
NLP
Ontology Natural Language
Engineering Processing
Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com
3. Table of Contents
Computable Clinical Data
Building an Electronic Medical Data Repository
Build vs. Buy
Key Takeaways
Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com
4. Computable clinical data has
numerous high value applications
Computable Key Properties
Data Structured
Unambiguous
Clean/Validated
Graphic Example Application
? Comparative Effectiveness
Personalized Medicine
Claims Adjudication
Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com
5. Table of Contents
Computable Clinical Data
Building an Electronic Medical Data Repository
Build vs. Buy
Key Takeaways
Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com
6. Building an electronic medical data
repository
Questions Develop Strategy
What are the key Scan environment for
challenges? technologies, products
Relevant technology and companies
trends? Research technology
Build vs buy? trends
Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com
7. Research involves speaking with
people and reviewing literature
Graphic Details
Primary Research via Interviews
Government Officials
Subject Matter Experts
Vendors
Employees
Secondary Research via Literature
Review
Analysts Reports
Journal Articles
Websites
Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com
8. Creating computable clinical data
faces three key challenges
Semantic Interoperability
20%
Messaging Standards
Data Liquidity
80%
Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com
9. Upcoming technologies offer
significant value proposition…
Runyon, Barry et al. "Hype Cycle for Healthcare Provider Technologies and Standards, 2009." Gartner. (2009): Print.
Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com
10. …and can be leveraged to create
computable clinical data
Benefit and Years to Mainstream Adoption for Selected
Healthcare Provider Technologies & Standards
Less than 2 Years 2 to 5 Years
6 Natural Language Processing
(Text to Facts)
High 3
Level of Benefit
SNOMED-CT
2
5
HL7 CDA R2 CCR/CCD
1
7
Natural Language ICD-10 CM (U.S.)
Moderate Processing (Clinical 4
Service-Oriented Architecture
Concepts)
Years to mainstream adoption
Runyon, Barry et al. "Hype Cycle for Healthcare Provider Technologies and Standards, 2009." Gartner. (2009): Print.
Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com
11. Natural language processing
generates structured data
Natural Language Processing
Convert Free Text into Structured Data
Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com
12. A complete solution involves a
number of technologies
Complete Solution
Conversion of Electronic Medical Data into Information
Semantic Extraction,
Interoperability Transformation,
& Loading
Health Computable
Clinical Data
Information
Exchange Database
Technology
NLP
Ontology Natural Language
Engineering Processing
Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com
13. Table of Contents
Computable Clinical Data
Building an Electronic Medical Data Repository
Build vs. Buy
Key Takeaways
Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com
14. Consider both internal and external
factors in a build vs. buy decision...
Key Factors in a Build vs. Buy Decision
Internal and External Factors
Technolology Business
Infrastructure Need
Build vs. Buy
Decision
Risk Organizational
Capability
Governance /
Funding
Market Readiness Governance /
Funding
Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com
15. …and use lessons learned from
others to formulate strategy
Takeaway
Pay particular attention to data
quality
Consider market maturity when
looking for an “off the shelf”
product
Evaluate products for potential
“technology/product lock”
Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com
16. Table of Contents
Computable Clinical Data
Building an Electronic Medical Data Repository
Build vs. Buy
Key Takeaways
Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com
17. Takeaways cover challenges,
build/buy, and technology trends
# Summary
Consider key challenges:
1 Data Liquidity
Semantic Interoperability
Messaging Standards
2 Assess internal and external factors in any
build vs. buy decision
3 Evaluate technology trends for new
technologies and state of the industry
Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com