Healthcare use of workflow engine technology with emphasis on data analysis and decision support
1. Describe the abstract notion of a workflow engine and workflow technology in general
2. Understand the relationship of flowcharts (common in medical guidelines) to executable models of processes used by workflow engines
3. Understand current use of workflow engines in healthcare in production environment and in research context (phenotype modeling, data analysis, clinical decision support, process mining and discovery)
Includes description of some of my research projects
4. List the evidence for benefits and challenges of using workflow engines in healthcare
Medical Simulation Market to Reach US$ 2.50 Billion by 2022Amy Williams
The medical simulation market is expected to exceed more than US$ 2.50 Billion by 2022; Growing at a CAGR of more than 15% in the given forecast period.
Presented at the Health Informatics and Health Information Technology Course, Doctor of Philosophy and Master of Science Programs in Data Science for Health Care (International Program), Faculty of Medicine Ramathibodi Hospital, Mahidol University on October 10, 2017
Presented at the 11th Healthcare CIO Certificate Program, School of Hospital Management, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on February 16, 2021
Presented at the Health Informatics and Health Information Technology Course, Doctor of Philosophy and Master of Science Programs in Data Science for Health Care (International Program), Faculty of Medicine Ramathibodi Hospital, Mahidol University on October 12, 2017
Medical Simulation Market to Reach US$ 2.50 Billion by 2022Amy Williams
The medical simulation market is expected to exceed more than US$ 2.50 Billion by 2022; Growing at a CAGR of more than 15% in the given forecast period.
Presented at the Health Informatics and Health Information Technology Course, Doctor of Philosophy and Master of Science Programs in Data Science for Health Care (International Program), Faculty of Medicine Ramathibodi Hospital, Mahidol University on October 10, 2017
Presented at the 11th Healthcare CIO Certificate Program, School of Hospital Management, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on February 16, 2021
Presented at the Health Informatics and Health Information Technology Course, Doctor of Philosophy and Master of Science Programs in Data Science for Health Care (International Program), Faculty of Medicine Ramathibodi Hospital, Mahidol University on October 12, 2017
Importance of Patient voice helps healthcare providers and facilities offer better healthcare delivery. It helps them understand how their patients truly feel, their needs, expectations, and concerns during every point of the care journey. Analyzing voice of the patient data allows healthcare professionals to leverage the feedback data not only for better operational aspects but also for diagnostic needs. These insights thus gained can help shape strategic treatment plans, even as healthcare providers and decision makers use data-backed information to build the foundation of patient-centric healthcare.
Presented at the 8th Healthcare CIO Certificate Program, Ramathibodi Hospital Administration School, Faculty of Medicine Ramathibodi Hospital, Mahidol University on March 12, 2018
Yuval Shahar, M.D., Ph.D.
Medical Informatics Research Center
Department of Information Systems Engineering
Ben-Gurion University
Beer Sheva, Israel
(16/10/08, Plenary session 3)
Presented at the 8th Healthcare CIO Certificate Program, Ramathibodi Hospital Administration School, Faculty of Medicine Ramathibodi Hospital, Mahidol University on March 13, 2018
Presented at the 9th Healthcare CIO Certificate Program, School of Hospital Management, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on March 4, 2019
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).
Process Automation in Telemedicine - Improving EfficiencyDenis Gagné
Moving beyond phone banks, this webinar will provide a brief introduction to telemedicine and explore the benefits of automation applied to telemedicine using the BPM+ Health set of open standards. A demonstration of an automated nurse teletriage pathway for an ill-appearing infant will be presented.
Development of an expert system for reducing medical errorsijseajournal
Recent advances in patient safety have been hampered by the hard
dealing with the development of a
uniform classification of patient safety concepts
in a systematic way
.
Therefore, m
any believe that medical
expert systems have great potential to improve health care.
A framework for computer
-
based medical
errors diagnose
s of primary systems’ deficiencies is presented.
Results of this research assisted in
developing the hierarchical structure of the medical errors expert system which
was
written and complied
in CLIPS. It has
225
rules,
52
parameters and
830
conditional pa
ragraphs. The system prompts the user
for response with suggested input formats. The system checks the user input for consistency within the
given limits. In addition, the system was validated through numerous consultations with the experts in the
field.
The benefits that
are
gained from such types of expert system
s
are eliminating
the fear from dealing
with
personal mistake, and providing the up
-
date information and helps medical staff as a learning tool.
Clinical Information Systems and Electronic Health Records (October 18, 2021)Nawanan Theera-Ampornpunt
Presented at the Master of Science and Doctor of Philosophy Programs in Data Science for Healthcare and Clinical Informatics, Department of Clinical Epidemiology and Biostatistics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on October 18, 2021
Importance of Patient voice helps healthcare providers and facilities offer better healthcare delivery. It helps them understand how their patients truly feel, their needs, expectations, and concerns during every point of the care journey. Analyzing voice of the patient data allows healthcare professionals to leverage the feedback data not only for better operational aspects but also for diagnostic needs. These insights thus gained can help shape strategic treatment plans, even as healthcare providers and decision makers use data-backed information to build the foundation of patient-centric healthcare.
Presented at the 8th Healthcare CIO Certificate Program, Ramathibodi Hospital Administration School, Faculty of Medicine Ramathibodi Hospital, Mahidol University on March 12, 2018
Yuval Shahar, M.D., Ph.D.
Medical Informatics Research Center
Department of Information Systems Engineering
Ben-Gurion University
Beer Sheva, Israel
(16/10/08, Plenary session 3)
Presented at the 8th Healthcare CIO Certificate Program, Ramathibodi Hospital Administration School, Faculty of Medicine Ramathibodi Hospital, Mahidol University on March 13, 2018
Presented at the 9th Healthcare CIO Certificate Program, School of Hospital Management, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on March 4, 2019
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).
Process Automation in Telemedicine - Improving EfficiencyDenis Gagné
Moving beyond phone banks, this webinar will provide a brief introduction to telemedicine and explore the benefits of automation applied to telemedicine using the BPM+ Health set of open standards. A demonstration of an automated nurse teletriage pathway for an ill-appearing infant will be presented.
Development of an expert system for reducing medical errorsijseajournal
Recent advances in patient safety have been hampered by the hard
dealing with the development of a
uniform classification of patient safety concepts
in a systematic way
.
Therefore, m
any believe that medical
expert systems have great potential to improve health care.
A framework for computer
-
based medical
errors diagnose
s of primary systems’ deficiencies is presented.
Results of this research assisted in
developing the hierarchical structure of the medical errors expert system which
was
written and complied
in CLIPS. It has
225
rules,
52
parameters and
830
conditional pa
ragraphs. The system prompts the user
for response with suggested input formats. The system checks the user input for consistency within the
given limits. In addition, the system was validated through numerous consultations with the experts in the
field.
The benefits that
are
gained from such types of expert system
s
are eliminating
the fear from dealing
with
personal mistake, and providing the up
-
date information and helps medical staff as a learning tool.
Clinical Information Systems and Electronic Health Records (October 18, 2021)Nawanan Theera-Ampornpunt
Presented at the Master of Science and Doctor of Philosophy Programs in Data Science for Healthcare and Clinical Informatics, Department of Clinical Epidemiology and Biostatistics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on October 18, 2021
Tutorial: AMIA NOW conference: Introduction to workflow technology: Represen...Vojtech Huser
Introduction to workflow technology
Representation of healthcare processes in a workflow editor and their execution in a workflow engine
Vojtech Huser, MD PhD
Marshfield Clinic
Automatable Healthcare Decisions and Workflows using FHIR®Denis Gagné
Healthcare decision support ideally takes place within the clinician’s workflow with access to all of the patient’s healthcare data and preferences. As patients move around the healthcare ecosystem, their electronic health records must be ubiquitously available and discoverable. FHIR® can serve as a lingua franca for this data.
For decision support to be embraced by physicians, it needs to be timely, based on best practices, simple to understand and easy to adopt. BPM+ workflow and decision software provide a visual representation of evidence-based best practices with the potential for automation.
Integrating Clinical Workflows and Decisions with FHIR, CDS Hooks and SMARTDenis Gagné
n this presentation, we introduce the various capabilities and features from the Trisotech healthcare feature Sets (HFS) that enable and accelerate the integration clinical workflows and decisions with FHIR, CDS Hooks and SMART.
Healthcare Concept Maps combined with a FHIR Accelerator Denis Gagné
BPM+ models are based on open standards that can be used to visually depict the structure and behavior of healthcare workflows and decisions.
If these workflow and decision models are to completely model healthcare clinical guidelines, then they also need to orchestrate logical data structures of medical concepts and data in the electronic health record.
In this session we will:
introduce two knowledge entity models of the most common medical conditions and observations
bind them to logical data structures based on FHIR, referred to the FHIR accelerator
demonstrate them in action.
Why ICT Fails in Healthcare: Software Maintenance and MaintainabilityKoray Atalag
This presentation was for a SERG seminar at the University of Auckland Department of Computer Science. I present why software maintenance is a barrier for adoption of IT in healthcare and the maintainability aspects based on ISO/IEC 9126 software quality standard quality model. I then present the preliminary results of my research here.
Health research, clinical registries, electronic health records – how do they...Koray Atalag
This is a talk I gave at my own organisation - National Institute for Health Innovation (NIHI) of the University of Auckland on 6 Aug 2014. Abstract as follows:
In this talk I’ll first cover the topic of clinical registry – an invaluable tool for supporting clinical practice but also gaining momentum in research and quality improvement. NIHI has been very active in this space: we have delivered the prestigious and highly successful National Cardiac Registry (ANZACS-QI) together with VIEW research team and also very recently launched the Gestational Diabetes Registry with Counties Manukau DHB & Diabetes Projects Trust. A few others are in likely to come down the line. This is a huge opportunity for health data driven research and NIHI to position itself as ‘the health data steward’ in the country given our independent status and existing IT infrastructure and “good culture” of working with health data . NIHI’s ‘health informatics’ twist in delivering these projects is how we go about defining ‘information’ – using a scientifically credible and robust methodology: openEHR. This is an international (and now national too) standard to non-ambiguously define health information so that they are easy to understand and also are computable. We build software (even automatically in some cases!) using models created by this formalism. I’ll give basics of openEHR approach and then walk you through how to make sense out of all these. Hopefully you may have an idea about its ‘value proposition’ (as business people call) or Science merit as I like to call it ;)
Running Head EVALUATION PLAN FOCUSEVALUATION PLAN FOCUS 1.docxcowinhelen
Running Head: EVALUATION PLAN FOCUS
EVALUATION PLAN FOCUS 1
Evaluation Plan Focus
Student Name
University Affiliations
Date
Professor
Scenario 1:
Your hospital is implementing a new unified acute and ambulatory Electronic Health Record (EHR) system through which patient care documentation will occur. Interdisciplinary assessment forms (including nursing), clinical decision support, and medical notes will be documented in this system. The implementation of the system is anticipated to improve the hospital’s performance in a multitude of areas. In particular, it is hoped that the use of the EHR system will reduce the rate of patient safety events, improve the quality of care, deter sentinel events, reduce patient readmissions, and impact spending. The implementation of the EHR system is also
Introduction
Evaluation plan involves an integral part regarding a grant suggestion providing information aimed at improving a project during the development and implementation. I will participate in the assessment of the scenario system in throughout the project. The scenario includes the hospital that is implementing the new unified as well as the Ambulatory EHR (Electronic Health Record) system that enhances the documentation of patient care. The purpose of the paper is explaining the selected scenario one, explanation of the reasons for selecting it, and summarizing of the research findings on the similar HIT implementations. More so, there is a description of the evaluation viewpoint, and goal guiding the assessment plan and same rationale.
HIT System Selected
The new system to be implemented has various modules that contain interdisciplinary assessment forms, medical notes, and clinical decision support where their documentation is guaranteed. The implementation of the unified system will enhance improved performance of the hospital in several departments. The new EHR system becomes of great importance to the hospital since there is a reduction of medical errors, reduction of the rate of the safety events of each patient, improving the quality of healthcare, deterrence of sentinel events, reduced patients readmissions as well as impact spending. Another reason for choosing the scenario is that the new system will enhance while fulfilling the requirements of meaningful use as stipulated in the HITECH (Health Information Technology for Economic and Clinical Health) Act. Therefore, the need for evaluation regarding the EHR implementation becomes paramount since it will help to identify the associated risks while adjusting the modules required when offering the medication services to the patients (Lanham, Leykum & McDaniel, 2012).
Summary of Research Findings on Similar HIT Implementations
Several evaluations are analogous to the HIT system implementation of the unified system with related differences regarding the outcomes based on the primary goals. For instance, some of the implemented systems fail to meet one hundred percent ...
A Nurse’s Role in the Systems Development Life CycleWhile the proc.docxJospehStull43
A Nurse’s Role in the Systems Development Life Cycle
While the process of developing and implementing a health information technology system may seem overwhelming at first, the systems development life cycle (SDLC) provides organizations with a framework to deliver efficient and effective information systems. Though the SDLC is a common overarching structure for implementing information systems, it is not a one-size-fits-all process. In fact, there are a multitude of approaches that can be used to guide the systems development life cycle. The SDLC approach that is most appropriate for a particular organization will be highly contextual and subject to organization-specific differences.
This week prompts you to analyze the process of selecting an appropriate health information technology and then evaluate techniques that positively impact the steps of the systems development life cycle in an EHR implementation. You also determine what barriers might occur at each stage and how these could be overcome.
Learning Objectives
Students will:
Analyze how a nurse can contribute to each stage of the systems development life cycle
Photo Credit: Jose Luis Pelaez Inc]/[Brand X Pictures]/Getty ImagesCredit
Learning Resources
Note:
To access this week’s required library resources, please click on the link to the Course Readings List, found in the Course Materials section of your Syllabus.
Required Readings
McGonigle, D., & Mastrian, K. G. (2015).
Nursing informatics and the foundation of knowledge
(3rd ed.). Burlington, MA: Jones and Bartlett Learning.
Chapter 10, “Systems Development Life Cycle: Nursing Informatics and Organizational Decision Making”
This chapter explains the systems development life cycle and explores various methods of applying it. The chapter also examines the importance of interoperability in implementing HITECH.
Chapter 11, “Administrative Information Systems”
This chapter provides an overview of agency-based health information systems. The text also details how administrators can use core business systems in their practice.
Boswell, R. A. (2011). A physician group’s movement toward electronic health records: A case study using the transtheoretical model for organizational change.
Consulting Psychology Journal: Practice and Research, 63
(2), 138–148.
Retrieved from the Walden Library databases.
The authors of this article present a case study on an EHR implementation in a multispecialty physician group. The case study attempts to determine actions that promote successful EHR implementation and the pros and cons of implementation.
Hsiao, J., Chang, H., & Chen, R. (2011).A study of factors affecting acceptance of hospital information systems: A nursing perspective.
Journal of Nursing Research, 19
(2), 150–160.
Retrieved from the Walden Library databases.
The focus of this article is to determine what factors are most important in predicting the acceptance of new health information technology. The results of the study indicated .
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Ve...kevinkariuki227
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
New Drug Discovery and Development .....NEHA GUPTA
The "New Drug Discovery and Development" process involves the identification, design, testing, and manufacturing of novel pharmaceutical compounds with the aim of introducing new and improved treatments for various medical conditions. This comprehensive endeavor encompasses various stages, including target identification, preclinical studies, clinical trials, regulatory approval, and post-market surveillance. It involves multidisciplinary collaboration among scientists, researchers, clinicians, regulatory experts, and pharmaceutical companies to bring innovative therapies to market and address unmet medical needs.
Explore natural remedies for syphilis treatment in Singapore. Discover alternative therapies, herbal remedies, and lifestyle changes that may complement conventional treatments. Learn about holistic approaches to managing syphilis symptoms and supporting overall health.
Lung Cancer: Artificial Intelligence, Synergetics, Complex System Analysis, S...Oleg Kshivets
RESULTS: Overall life span (LS) was 2252.1±1742.5 days and cumulative 5-year survival (5YS) reached 73.2%, 10 years – 64.8%, 20 years – 42.5%. 513 LCP lived more than 5 years (LS=3124.6±1525.6 days), 148 LCP – more than 10 years (LS=5054.4±1504.1 days).199 LCP died because of LC (LS=562.7±374.5 days). 5YS of LCP after bi/lobectomies was significantly superior in comparison with LCP after pneumonectomies (78.1% vs.63.7%, P=0.00001 by log-rank test). AT significantly improved 5YS (66.3% vs. 34.8%) (P=0.00000 by log-rank test) only for LCP with N1-2. Cox modeling displayed that 5YS of LCP significantly depended on: phase transition (PT) early-invasive LC in terms of synergetics, PT N0—N12, cell ratio factors (ratio between cancer cells- CC and blood cells subpopulations), G1-3, histology, glucose, AT, blood cell circuit, prothrombin index, heparin tolerance, recalcification time (P=0.000-0.038). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and PT early-invasive LC (rank=1), PT N0—N12 (rank=2), thrombocytes/CC (3), erythrocytes/CC (4), eosinophils/CC (5), healthy cells/CC (6), lymphocytes/CC (7), segmented neutrophils/CC (8), stick neutrophils/CC (9), monocytes/CC (10); leucocytes/CC (11). Correct prediction of 5YS was 100% by neural networks computing (area under ROC curve=1.0; error=0.0).
CONCLUSIONS: 5YS of LCP after radical procedures significantly depended on: 1) PT early-invasive cancer; 2) PT N0--N12; 3) cell ratio factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) LC characteristics; 9) LC cell dynamics; 10) surgery type: lobectomy/pneumonectomy; 11) anthropometric data. Optimal diagnosis and treatment strategies for LC are: 1) screening and early detection of LC; 2) availability of experienced thoracic surgeons because of complexity of radical procedures; 3) aggressive en block surgery and adequate lymph node dissection for completeness; 4) precise prediction; 5) adjuvant chemoimmunoradiotherapy for LCP with unfavorable prognosis.
Knee anatomy and clinical tests 2024.pdfvimalpl1234
This includes all relevant anatomy and clinical tests compiled from standard textbooks, Campbell,netter etc..It is comprehensive and best suited for orthopaedicians and orthopaedic residents.
MANAGEMENT OF ATRIOVENTRICULAR CONDUCTION BLOCK.pdfJim Jacob Roy
Cardiac conduction defects can occur due to various causes.
Atrioventricular conduction blocks ( AV blocks ) are classified into 3 types.
This document describes the acute management of AV block.
Flu Vaccine Alert in Bangalore Karnatakaaddon Scans
As flu season approaches, health officials in Bangalore, Karnataka, are urging residents to get their flu vaccinations. The seasonal flu, while common, can lead to severe health complications, particularly for vulnerable populations such as young children, the elderly, and those with underlying health conditions.
Dr. Vidisha Kumari, a leading epidemiologist in Bangalore, emphasizes the importance of getting vaccinated. "The flu vaccine is our best defense against the influenza virus. It not only protects individuals but also helps prevent the spread of the virus in our communities," he says.
This year, the flu season is expected to coincide with a potential increase in other respiratory illnesses. The Karnataka Health Department has launched an awareness campaign highlighting the significance of flu vaccinations. They have set up multiple vaccination centers across Bangalore, making it convenient for residents to receive their shots.
To encourage widespread vaccination, the government is also collaborating with local schools, workplaces, and community centers to facilitate vaccination drives. Special attention is being given to ensuring that the vaccine is accessible to all, including marginalized communities who may have limited access to healthcare.
Residents are reminded that the flu vaccine is safe and effective. Common side effects are mild and may include soreness at the injection site, mild fever, or muscle aches. These side effects are generally short-lived and far less severe than the flu itself.
Healthcare providers are also stressing the importance of continuing COVID-19 precautions. Wearing masks, practicing good hand hygiene, and maintaining social distancing are still crucial, especially in crowded places.
Protect yourself and your loved ones by getting vaccinated. Together, we can help keep Bangalore healthy and safe this flu season. For more information on vaccination centers and schedules, residents can visit the Karnataka Health Department’s official website or follow their social media pages.
Stay informed, stay safe, and get your flu shot today!
Report Back from SGO 2024: What’s the Latest in Cervical Cancer?bkling
Are you curious about what’s new in cervical cancer research or unsure what the findings mean? Join Dr. Emily Ko, a gynecologic oncologist at Penn Medicine, to learn about the latest updates from the Society of Gynecologic Oncology (SGO) 2024 Annual Meeting on Women’s Cancer. Dr. Ko will discuss what the research presented at the conference means for you and answer your questions about the new developments.
Pharma Pcd Franchise in Jharkhand - Yodley Lifesciences
Healthcare use of workflow engine technology with emphasis on data analysis and decision support
1. Healthcare use of workflow engine technology with emphasis on data analysis and decision support Vojtech Huser MD PhD Laboratory for Informatics Development National Institutes of Health, Clinical Center Bethesda, MD, USA
23. Examples of WT use in healthcare Vojtech Huser, MD, PhD Bed management Infections control (MRSA) J. Emanuele and L. Koetter, "Workflow Opportunities and Challenges in Healthcare," in 2007 BPM & Workflow Handbook, 2007. L. Koetter, "MRSA infection control with workflow technology," Spring AMIA Conference, Orlando, FL, 2007. R. Hess, "The Chester County Hospital: Case Study," in 2007 Excellence in Practice: Moving the Goalposts., 2007.
Vojtech Huser, MD, PhD Morgridge: Project proposal -----Original Message----- From: Harold Lehmann [mailto:lehmann@jhmi.edu] Sent: Tuesday, January 10, 2012 12:02 AM To: Huser, Vojtech (NIH/CC/OD) [E] Subject: Re: title - RE: Hopkins Grand Rounds Many thanks! Harold > From: Vojtech Huser < [email_address] > > Date: Mon, 9 Jan 2012 10:32:42 -0500 > To: Harold Lehmann < [email_address] > > Cc: LaShawn Johnson < [email_address] > > Subject: RE: title - RE: Hopkins Grand Rounds > > Harold, > > Here are the edits: > > > > 1. Describe the abstract notion of a workflow engine and workflow > technology in general 2. Understand the relationship of flowcharts > (common in medical guidelines) to executable models of processes used > by workflow engines 3. Understand current use of workflow engines in > healthcare in production environment and in research context > (phenotype modeling, data analysis, clinical decision support, process > mining and discovery) 4. List the evidence for benefits and challenges > in using workflow engines in healthcare > > > Vojtech > > > > -----Original Message----- > From: Harold Lehmann [mailto:lehmann@jhmi.edu] > Sent: Thursday, January 05, 2012 2:32 PM > To: Huser, Vojtech (NIH/CC/OD) [E] > Cc: LaShawn Johnson-Thomas > Subject: Re: title - RE: Hopkins Grand Rounds > > Fantastic. > > We have to turn &quot;topics&quot; into &quot;learning objectives,&quot; so let me > suggest the > following: > > 1. Describe the abstract notion of a workflow engine 2. Articulate > rules for turning workflow knowledge into flowcharts 3. Comparing the > uses of workflow engines in research (phenotype modeling and data > analysis), in clinical care (decision support), and in clinical > management (discovering healthcare processes) 4. List the evidence for > benefits and challenges in using workflow engines > > Please edit! > > Harold > > >> From: Vojtech Huser < [email_address] > >> Date: Thu, 5 Jan 2012 09:53:08 -0500 >> To: Harold Lehmann < [email_address] > >> Cc: LaShawn Johnson < [email_address] > >> Subject: title - RE: Hopkins Grand Rounds >> >> Feb 3 it is, then. >> >> >> >> >> I would propose this title >> >> >> >> Title: >> Healthcare use of workflow engine technology (with emphasis on data >> analysis and decision support) >> >> Topics covered: (abstract outline) >> -What is a workflow engine >> -Modeling knowledge as flowcharts >> -Use in phenotype modeling and data analysis -Use in clinical >> decision support -Mining healthcare data (discovering healthcare >> processes) >> >> >> >> >> V >> >> >> -----Original Message----- >> From: Harold Lehmann [mailto:lehmann@jhmi.edu] >> Sent: Thursday, January 05, 2012 9:35 AM >> To: Huser, Vojtech (NIH/CC/OD) [E] >> Cc: LaShawn Johnson-Thomas >> Subject: Re: Hopkins Grand Rounds >> >> Yes, I meant Feb 3. >> >> Terrific! >> >> So do send me a title if you can this week. We can work out objectives then. >> >> Harold >> >> >> >>> From: Vojtech Huser < [email_address] > >>> Date: Thu, 5 Jan 2012 09:28:32 -0500 >>> To: Harold Lehmann < [email_address] > >>> Cc: LaShawn Johnson < [email_address] > >>> Subject: RE: Hopkins Grand Rounds >>> >>> Harold, >>> >>> Feb 1 is not a Friday and I have one scheduled event. >>> If it were Friday Feb 3th, then yes. >>> >>> Otherwise I would stick to the Feb 24th >>> >>> >>> Vojtech >>> >>> -----Original Message----- >>> From: Harold Lehmann [mailto:lehmann@jhmi.edu] >>> Sent: Thursday, January 05, 2012 1:21 AM >>> To: Huser, Vojtech (NIH/CC/OD) [E] >>> Cc: LaShawn Johnson-Thomas >>> Subject: Re: Hopkins Grand Rounds >>> >>> Vojtech -- >>> >>> Great, I'm pencilling you in for Feb 24. Is there a possibility you >>> could do Feb 1? >>> >>> You will be reimbursed for a receipt or for mileage; your choice! We >>> pay for lunch :) >>> >>> La Shawn Johnson-Thomas, our staff member in charge of these Rounds, >>> will get back to you with logistical and paperwork details, >>> especially those related to CME and to Webcasting/videotaping. >>> >>> Re EHRs---we will have rolling go lives. Community >>> hospitals-->JHH-->JHCP (outpatient clinics) is the order, I think. The first go-live is Apr 2013. >>> The hospital will be two years later, if I'm not mistaken. We will >>> be supporting Eclipsys until the transition is complete. >>> >>> I have no idea about the long term prospect for any of the vendors! >>> >>> Harold >>> >>> >>> >>>> From: Vojtech Huser < [email_address] > >>>> Date: Wed, 4 Jan 2012 09:52:03 -0500 >>>> To: Harold Lehmann < [email_address] > >>>> Cc: LaShawn Johnson < [email_address] > >>>> Subject: RE: Hopkins Grand Rounds >>>> >>>> Harold, >>>> >>>> I would be glad to come! >>>> Feb 24th is slightly better than the March date. >>>> >>>> The workflow work is probably a better topic and this topic can (at >>>> the >>>> end) >>>> include some of the process mining work which is one of the >>>> projects I am doing currently. >>>> >>>> What are some technicalities I should know about being a seminar speaker. >>>> (e.g., receipt strategy when taking a train vs. driving my own car) >>>> >>>> Vojtech >>>> >>>> >>>> >>>> P.S. >>>> The Epic move is interesting. Has the go-live date been scheduled? >>>> >>>> I think you were on Eclipsys as well (like NIH was and is). >>>> We stick to Eclipsys for now. >>>> I wonder what will AllScripts, in the long run, do to the future of >>>> Eclipsys (acquired product for them). >>>> >>>> >>>> -----Original Message----- >>>> From: Harold Lehmann [mailto:lehmann@jhmi.edu] >>>> Sent: Tuesday, January 03, 2012 9:40 PM >>>> To: Huser, Vojtech (NIH/CC/OD) [E] >>>> Cc: LaShawn Johnson-Thomas >>>> Subject: Hopkins Grand Rounds >>>> >>>> Vojtech -- >>>> >>>> I wanted to followup on my verbal invitation for a Grand Rounds >>>> presentation here at Hopkins (see http://dhsi.med.jhmi.edu/node/25 >>>> and the link to prior Rounds). They are presented on Fridays at >>>> 12:15. I would love for you to speak either about the workflow work >>>> you did in the past or the research informatics work you are doing >>>> now. We are taking on Epic and its new research environment and >>>> need very much to learn from others. >>>> >>>> Date wise, Feb 24 or Mar 9 would be ideal; we have dates 4/27, 5/4, >>>> 5/11 >>>> 6/1 >>>> and 6/8 open as well. >>>> >>>> Harold >>>> >>> >> >
Vojtech Huser, MD, PhD Morgridge: Project proposal January 26, 2012 Dear Vojtech, We are looking forward to your presentation at our February 3, 2012 Informatics Grand Rounds at 12:15 p.m. Please allow an hour for your talk and a brief question period. As I am sure you know, there are a number of important administrative things that we need to do in order to comply with CME's very strict regulations. Please be certain to make a verbal disclosure at the start of your presentation as well as including the Disclosure slide at the start of the talk. I would be most grateful if you could return the information and various forms listed below to me by email on or before February 1, 2012. We are now publicizing your talk around the campus. 1. Title of Talk, abstract (have already) 2. Learning Objectives (have already) 3. Your CV or Bio 4. Signed Disclosure Form (attached) 5. Signed Webcast Permission Form (attached) 6. Copies of your disclosure & objectives slides (see attached, please edit as you wish) 7. Speaker Information Sheet (attached) -JHU's CME office requires that a disclosure and objectives slide be part of your presentation. Please visit: http://www.hopkinscme.net/Resources/RSCSupport.aspx , for examples. If you have any questions or concerns about this Webcasting/archiving, please let us know. Previous recordings are posted at http://dhsi.med.jhmi.edu/content/past_seminars.cfm For more information regarding requirements visit: http://dhsi.med.jhmi.edu/content/speakers.html You may send these documents via email. For driving directions visit: http://dhsi.med.jhmi.edu/content/visitors.html I know that Harold has already sent you the objectives of the DHSI Seminar Series, but have listed them again below for you to reference while filling out these forms. OBJECTIVES FOR THE SERIES: 1. Evaluate the ongoing development of the National Health Information Network 2. Identify key components of health information technology in a variety of health care and public health settings 3. Critique the success of health information technology through evaluation studies 4. Assess fit between information architecture in complex health settings and health needs 5. Characterize success of information technologies in technology-poor settings 6. Evaluate decision support in a variety of health-care related settings Thank you very much for participating in our seminar, and especially for doing the extra paper work required by CME. Best wishes, La Shawn L. Johnson-Thomas Administrative Coordinator Division of Health Sciences Informatics 2024 E. Monument Street, Ste 1-200 Baltimore, MD. 21205 443-287-6083 (P) 410-614-2064 (F) [email_address]
Vojtech Huser, MD, PhD Morgridge: Project proposal NOTICE: we can also defin a process where only IT tools play a role. (no humans) bad news: now we became a wheel in an big machine (workers) good news: now we won’t have to remember the order and maintain the record of in which order we run what applications. Executable visio. (managers)
Vojtech Huser, MD, PhD Morgridge: Project proposal system only participants mode retrospective mode real time mode (waiting application for next event) (instead of read next event)
Vojtech Huser, MD, PhD Morgridge: Project proposal e.g., enrolling every woman with endometriosis who was treated with drug X and it did not work There is adverse event using treatment C – additional info must be collected – (triggered by treatment or something else – other ilness (infection))
Vojtech Huser, MD, PhD Morgridge: Project proposal Linear regression (LR) was used to determine whether score difference could be predicted by any of the participant characteristics such as gender, age, SQL experience, or SQL experience source. No LR model could predict the score difference (adjusted R-squared < 0.1) and none of the factors were statistically significant. A two-sample t-test showed no statistical difference in test score differences between the group which started with SQL approach versus the group which started with RG approach. TRANSITION: In a way the quantitative part served as a preparation for the later qualitative questionnaire part Giving the users an active experience with both compared technology – do you want to be facing flowcharts or SQL code There was a suggestion to conduct just the qualitative part, Since there are some design limitations of the task-based quantitative study – which, in fact, do not play such role in the qualitative study. So in a way I consider the qualitative study of higher importance
Vojtech Huser, MD, PhD Morgridge: Project proposal Content – qualitative analysis categorization, summarization of the available textual data Transition: The remaining part of the qualitative study contained
Vojtech Huser, MD, PhD Morgridge: Project proposal Other studies Hu (1999) telemedicine Chismar (2002), Wilson (2004) e-health internet applications Hooff (2003) knowledge sharing Based on many previous underlying theories - Including the Fishbein’s theory of reasoned action TRANSITION: So in summary the very Hu PJ, et al. Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology. Journal of Management of Information Systems 1999; 16 (2): 91-112. Chismar WG, Wiley-Patton S. Test of the technology acceptance model for the internet in pediatrics. Proc AMIA Symp 2002. pp 155-9. Wilson EV, Lankton NK. Modeling patients’ acceptance of provider-delivered e-health. J Am Med Inform Assoc 2004; 11 (4): 241-8. Hooff B v d, et al. Knowledge Sharing in Knowledge Communities in Communities and Technologies. M. Huysman (ed.). The Netherlands: Kluwer Academic Publishers; 2003. pp 119-41.