The health crisis due to COVID-19 is shaping a new reality in which the exchange and access to health data in a secure way will be more and more necessary. In this complex challenge converge both the respect for the individual rights as well as the interests of the patients and the need to promote the research in pursuit of the public interest. To face this challenge, we can find different approaches across Europe. In this webinar, we will present the experiences of three EU-funded projects (BigMedilytics, BodyPass, and DeepHealth), besides an overview of the legal framework and recommendations to enforce both national regulations and GDPR by an expert in data privacy and security.
The health crisis due to COVID-19 is shaping a new reality in which the exchange and access to health data in a secure way will be more and more necessary. In this complex challenge converge both the respect for the individual rights as well as the interests of the patients and the need to promote the research in pursuit of the public interest. To face this challenge, we can find different approaches across Europe. In this webinar, we will present the experiences of three EU-funded projects (BigMedilytics, BodyPass, and DeepHealth), besides an overview of the legal framework and recommendations to enforce both national regulations and GDPR by an expert in data privacy and security.
[2.7] Practice of Data Management in Clinical Research - Barry Ruijter [3TU.D...3TU.Datacentrum
3TU.Datacentrum Symposium Research Data Management:
Funder requirements, Questions and Solutions
At this symposium the funding organisation NWO and the European Commission explained their vision, plans and requirements. Researchers from the three universities of technology shared their experiences of data management in different stages of research. And the Research Data Services team informed the audience about research data management services offered by 3TU.Datacentrum.
The 3TU.Datacentrum symposium took place at the TU Delft (26 May), University of Twente (2 June) and TU Eindhoven (11 June) for and with local researchers.
More information on: datacentrum.3tu.nl/over-3tudatacentrum/symposium-2014
This paper describes a study of the adoption of Picture Archiving and Communication Systems(PACS). The objective of this study is threefold. First, the adoption rate of PACS by European hospitals is described in relation to the use of other medical information systems. From this, a Medical Information Systems Maturity Scale (MISIS) for hospitals is statistically constructed. The second objective is to identify the key determinants of a hospitals’ score on MISIS, i.e. analyzing the situationality of the scale. The final objective of the paper is to explain and the variation in Medical Information System Maturity among hospitals in Europe. Using the results of this empirical analysis we set out general guidelines for the evolution of PACS maturity [1] within hospitals, based on principals of strategic alignment and situational growth.
A Context-aware Patient Safety System for the Operating RoomJakob Bardram
This is the presentation of the paper entitled "A Context-aware Patient Safety System for the Operating Room" by Jakob E. Bardram and Niels Nørskov. Presented at UbiComp September 2008 in Seoul, Korea.
10-3 Clinical Informatics System Selection & ImplementationCorinn Pope
Section ten, module three of the clinical informatics course discusses the information system lifecycle. In this slide deck, we'll cover how to pick a clinical information system that works best for you. Also included are three free practice questions. If you would like more information or resources, be sure to check out our site at http://www.informaticspro.com.
OSCE are well know to assess nursing skills however the paper trail is intense and error sensitive. A fully fledged OSCE management Information system is now available to plan, administer and evaluate nursing OSCEs. Keynote presentation on Monday the 23rd of November
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
Journal for Clinical Studies: Close Cooperation Between Data Management and B...KCR
Every clinical trial is a source of multidimensional data, analyzed to answer questions on safety, efficacy and others. Invalid or incomplete data may lead to invalid conclusions and wrong decision. KCR’s Biostatistician, Adrian Olszewski, highlights the importance of cooperation between data management and biostatistics to improve data quality by introducing both statistical knowledge and the ability to create specialized, programmatic tools and advanced queries giving a good foundation for deeper and faster data investigations. Read more in the article published in the October Issue of Journal for Clinical Studies (p. 42-46).
Don’t Land in Hot Water-Audit Proof your Coding and DocumentationSuperCoder LLC
SuperCoder’s “Don’t Land in Hot Water: Audit Proof Your Coding and Documentation” webinar focuses on how to correctly interpret CMS medical record documentation guidelines and what to expect from an RAC audit. The webinar, which is presented by The Coding Institute expert Nikki Taylor, MBA, COC, CPC, CPMA Auditor, has been designed to help you implement certain practices that could make your coding and documentation processes audit proof. The webinar delves into understanding government audits and their areas of inquiry, dealing with CMS medical record documentation guidelines, how to handle an RAC audit, how to leverage self-audits and external audits to improve your documentation process, find out areas where you are lacking and how to correct insufficient provider documentation, tips to avoid civil monetary penalties, and more. You will also learn how to use SuperCoder tools like E/M audit tool and medicare audit tool, to make your practice more secure and safeguard your revenue against penalties.
[2.7] Practice of Data Management in Clinical Research - Barry Ruijter [3TU.D...3TU.Datacentrum
3TU.Datacentrum Symposium Research Data Management:
Funder requirements, Questions and Solutions
At this symposium the funding organisation NWO and the European Commission explained their vision, plans and requirements. Researchers from the three universities of technology shared their experiences of data management in different stages of research. And the Research Data Services team informed the audience about research data management services offered by 3TU.Datacentrum.
The 3TU.Datacentrum symposium took place at the TU Delft (26 May), University of Twente (2 June) and TU Eindhoven (11 June) for and with local researchers.
More information on: datacentrum.3tu.nl/over-3tudatacentrum/symposium-2014
This paper describes a study of the adoption of Picture Archiving and Communication Systems(PACS). The objective of this study is threefold. First, the adoption rate of PACS by European hospitals is described in relation to the use of other medical information systems. From this, a Medical Information Systems Maturity Scale (MISIS) for hospitals is statistically constructed. The second objective is to identify the key determinants of a hospitals’ score on MISIS, i.e. analyzing the situationality of the scale. The final objective of the paper is to explain and the variation in Medical Information System Maturity among hospitals in Europe. Using the results of this empirical analysis we set out general guidelines for the evolution of PACS maturity [1] within hospitals, based on principals of strategic alignment and situational growth.
A Context-aware Patient Safety System for the Operating RoomJakob Bardram
This is the presentation of the paper entitled "A Context-aware Patient Safety System for the Operating Room" by Jakob E. Bardram and Niels Nørskov. Presented at UbiComp September 2008 in Seoul, Korea.
10-3 Clinical Informatics System Selection & ImplementationCorinn Pope
Section ten, module three of the clinical informatics course discusses the information system lifecycle. In this slide deck, we'll cover how to pick a clinical information system that works best for you. Also included are three free practice questions. If you would like more information or resources, be sure to check out our site at http://www.informaticspro.com.
OSCE are well know to assess nursing skills however the paper trail is intense and error sensitive. A fully fledged OSCE management Information system is now available to plan, administer and evaluate nursing OSCEs. Keynote presentation on Monday the 23rd of November
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
Journal for Clinical Studies: Close Cooperation Between Data Management and B...KCR
Every clinical trial is a source of multidimensional data, analyzed to answer questions on safety, efficacy and others. Invalid or incomplete data may lead to invalid conclusions and wrong decision. KCR’s Biostatistician, Adrian Olszewski, highlights the importance of cooperation between data management and biostatistics to improve data quality by introducing both statistical knowledge and the ability to create specialized, programmatic tools and advanced queries giving a good foundation for deeper and faster data investigations. Read more in the article published in the October Issue of Journal for Clinical Studies (p. 42-46).
Don’t Land in Hot Water-Audit Proof your Coding and DocumentationSuperCoder LLC
SuperCoder’s “Don’t Land in Hot Water: Audit Proof Your Coding and Documentation” webinar focuses on how to correctly interpret CMS medical record documentation guidelines and what to expect from an RAC audit. The webinar, which is presented by The Coding Institute expert Nikki Taylor, MBA, COC, CPC, CPMA Auditor, has been designed to help you implement certain practices that could make your coding and documentation processes audit proof. The webinar delves into understanding government audits and their areas of inquiry, dealing with CMS medical record documentation guidelines, how to handle an RAC audit, how to leverage self-audits and external audits to improve your documentation process, find out areas where you are lacking and how to correct insufficient provider documentation, tips to avoid civil monetary penalties, and more. You will also learn how to use SuperCoder tools like E/M audit tool and medicare audit tool, to make your practice more secure and safeguard your revenue against penalties.
All of us must have heard this proverb umpteen number of times in our lives. However, when it comes to elicitation, we tend to forget the same.Elicitation is possibly the most important job we business analysts do. I am surprised that many of us understand only few facets of elicitation such as requirements gathering and recording.Elicitation is much more than requirements gathering and recording. A good elicitation activity can significantly reduce effort in changes in requirements and subsequent changes to design, construction and testing activities.Here is an attempt to make our elicitation exercises more effective.
DocSend Fundraising Research: What we Learned from 200 Startups Who Raised $360MDocSend
Why do some startups get funded? What makes for the best pitch? How does the process work?
DocSend recently teamed up with Professor Tom Eisenmann from Harvard Business School. Together, we conducted research that gave us the answers to those questions. We studied the fundraising of 200 startup companies as they went through their Series Seed and Series A rounds. Altogether, these companies raised more than $360 million.
Why this data is awesome:
Fundraising is a historically opaque endeavor. There’s very little data available and most advice tends to be anecdotal. DocSend is in the unique position of being able to quantitatively analyze the interaction between founders and investors, and tie that to fundraising outcomes in a statistically meaningful way.
Why we built this report:
DocSend aims to help companies share documents in a smarter, safer, and more impactful way. We believe this research is in service of that mission and can help push the startup ecosystem forward as a whole.
Background on DocSend:
DocSend helps sales people track and control documents they send to clients. We’ve also become very popular amongst founders in the fundraising process. Hundreds of startups have used our platform to circulate pitch decks to investors.
Ready to ditch email attachments and put your pitch materials to work for you?
Sign up for a free plan at docsend.com
How to Become a Thought Leader in Your NicheLeslie Samuel
Are bloggers thought leaders? Here are some tips on how you can become one. Provide great value, put awesome content out there on a regular basis, and help others.
How to Make Awesome SlideShares: Tips & TricksSlideShare
Turbocharge your online presence with SlideShare. We provide the best tips and tricks for succeeding on SlideShare. Get ideas for what to upload, tips for designing your deck and more.
Question 1 (2 points)What is the federal act that empowers the.docxIRESH3
Question 1 (2 points)
What is the federal act that empowers the Centers for Medicare and Medicaid Services to create shared accountability for Medicare shared savings across groups of physicians, hospitals, and other healthcare providers?
Question 1 options:
A)
American Recovery and Reinvestment Act
B)
Patient Protection and Affordable Care Act
C)
Federal Employees Health Benefits Program
D)
Health Insurance Portability and Accountability Act
E)
Medicare Prescription Drug Improvement and Modernization Act
Save
Question 2 (2 points)
All of the following are considered a transition of care where a summary of care must be provided except which?
Question 2 options:
A)
Discharge of the patient to home without expectation of follow-up to another provider
B)
Discharge of the patient to home with a follow-up to the patient’s regular physician
C)
A referral of the patient to another care provider within the same setting of care
D)
A patient is sent to the emergency room from the primary-care office
E)
A and C
F)
C and D
Save
Question 3 (2 points)
Which of the following is not an electronic tool by which clinicians can engage consumers?
Question 3 options:
A)
Personal health record
B)
Secure messaging
C)
Practice management system
D)
Physician web site and blog
E)
All of the above represent electronic tools by which clinicians can engage consumers
Save
Question 4 (2 points)
Which of the following is a significant driver for the use of EHRs?
Question 4 options:
A)
Rising healthcare costs
B)
Concerns about quality
C)
Concerns about coverage (access to health insurance)
D)
Concerns about inaccurate billing
E)
All of the above
F)
A and B
Save
Question 5 (2 points)
Which of the following is considered by the Institute of Medicine to be functionality in an electronic record?
Question 5 options:
A)
Results management
B)
Population health management
C)
Administrative support
D)
Communication tools
E)
All of the above
F)
A and C
G)
A and D
Save
Question 6 (2 points)
The electronic entry of orders by the ordering clinician is referred to as which of the following?
Question 6 options:
A)
Online entry system (OES)
B)
Computerized practitioner order entry (CPOE)
C)
Computerized ordering (CO)
D)
Medication ordering system (MOS)
Save
Question 7 (2 points)
Which of the following is generally not considered demographic information?
Question 7 options:
A)
Age
B)
Allergies
C)
Address
D)
Insurance carrier
Save
Question 8 (2 points)
Which of the following national identifiers was not mandated by the Health Insurance Portability and Accountability Act (HIPAA) of 1996?
Question 8 options:
A)
National Employer Identifier
B)
National Provider Identifier
C)
National Clearinghouse Identifier
D)
National Health Plan Identifier
Save
Question 9 (2 points)
Which organization created and maintains the Current Procedural Terminology (CPT) code set?
Questi ...
Optimizing your mri practice with kaizenAndre van Est
Practical experience and advice on how to optimize an MRI practice (or any other Radiology practice) by applying principles of Kaizen, Lean and Six Sigma.
Optimizing your mri practice with kaizenAndre van Est
Practical advice on how to optimize your MRI practice (or radiology practice in general) by applying the principles of Kaizen events (or Lean and Six Sigma). Lessons learned from executing more than 60 rapid workflow improvement events in Radiology practices worldwide .
Medical Informatics: Computational Analytics in HealthcareNUS-ISS
Presented by Dr Liu Nan, Senior Research Scientist and Principal Investigator, Singapore General Hospital at ISS Seminar: How Analytics is Transforming Healthcare on 31 Oct 2014.
Tufts Research: EDC Trends, Insights, and OpportunitiesVeeva Systems
Watch the video here: https://bit.ly/3yIrVu0
New Tufts research on the eClinical landscape
Learn how seemingly minor decisions in one functional group can significantly impact overall clinical trial timelines. Specifically, those who never release the database before first patient, first visit (FPFV) take more than three weeks longer to lock the database than those who always release before FPFV. Other key findings include:
* Types and volume of data companies manage in EDC
* The biggest causes of database build delays
* How sponsor and CRO cycle times compare for database build, data entry, and database lock
Who Will Benefit:
* Data Management
* eClinical
* Clinical Operations
* Biometrics
* Clinical Development
* R&D IT
Next generation electronic medical records and search a test implementation i...lucenerevolution
Presented by David Piraino, Chief Imaging Information Officer, Imaging Institute Cleveland Clinic, Cleveland Clinic
& Daniel Palmer, Chief Imaging Information Officer, Imaging Institute Cleveland Clinic, Cleveland Clinic
Most patient specifc medical information is document oriented with varying amounts of associated meta-data. Most of pateint medical information is textual and semi-structured. Electronic Medical Record Systems (EMR) are not optimized to present the textual information to users in the most understandable ways. Present EMRs show information to the user in a reverse time oriented patient specific manner only. This talk discribes the construction and use of Solr search technologies to provide relevant historical information at the point of care while intepreting radiology images.
Radiology reports over a 4 year period were extracted from our Radiology Information System (RIS) and passed through a text processing engine to extract the results, impression, exam description, location, history, and date. Fifteen cases reported during clinical practice were used as test cases to determine if ""similar"" historical cases were found . The results were evaluated by the number of searches that returned any result in less than 3 seconds and the number of cases that illustrated the questioned diagnosis in the top 10 results returned as determined by a bone and joint radiologist. Also methods to better optimize the search results were reviewed.
An average of 7.8 out of the 10 highest rated reports showed a similar case highly related to the present case. The best search showed 10 out of 10 cases that were good examples and the lowest match search showed 2 out of 10 cases that were good examples.The talk will highlight this specific use case and the issues and advances of using Solr search technology in medicine with focus on point of care applications.
Case Based Medical Diagnosis of Occupational Chronic Lung Diseases From Their...CSCJournals
The clinical decision support system using the case based reasoning (CBR) methodology of Artificial Intelligence (AI) presents a foundation for a new technology of building intelligent computer aided diagnoses systems. This Technology directly addresses the problems found in the traditional Artificial Intelligence (AI) techniques, e.g. the problems of knowledge acquisition, remembering, robust and maintenance. In this paper, we have used the Case Based Reasoning methodology to develop a clinical decision support system prototype for supporting diagnosis of occupational lung diseases. 127 cases were collected for 14 occupational chronic lung diseases, which contains 26 symptoms. After removing the duplicated cases from the database, the system has trained set of 47 cases for Indian Lung patients. Statistical analysis has been done to determine the importance values of the case features. The retrieval strategy using nearest-neighbor approaches is investigated. The results indicate that the nearest neighbor approach has shown the encouraging outcome, used as retrieval strategy. A Consultant Pathologist’s interpretation was used to evaluate the system. Results for Sensitivity, Specificity, Positive Prediction Value and the Negative Prediction Value are 95.3%, 92.7%, 98.6% and 81.2% respectively. Thus, the result showed that the system is capable of assisting an inexperience pathologist in making accurate, consistent and timely diagnoses, also in the study of diagnostic protocol, education, self-assessment, and quality control. In this paper, clinical decision support system prototype is developed for supporting diagnosis of occupational lung diseases from their symptoms and signs through employing Microsoft Visual Basic .NET 2005 along with Microsoft SQL server 2005 environment with the advantage of Object Oriented Programming technology
Gamma knife is considered unsuitable for lesions larger than 10cc. In this presentation, the author- Prof Deepak Agrawal- Gamma-Knife expert and an accomplished neurosurgeon shows how this size criteria is a myth
The appointment system was the vision of Dr Deepak Agrawal and supported by Prof MC Misra, director AIIMS.
NIC helped in developing the software and implementation was done by AIIMS Team (Tripta Sharma) and NIS (Nusring informatics specialists) led by Ms Metilda Robin
More from All India Institute of Medical Sciences (20)
6. EMR
An electronic medical record (EMR) is a computerized
medical record created in an organization that delivers
care, such as a hospital
7.
8.
9.
10.
11. Patient’s entire health record
11
Cover Page Areas
Menu
Bar
View or add current problems
Lab reports
Hospital visit data
12. METHODOLOGY
• Study design- Qualitative survey
• Performance centre - ED of JPN Apex Trauma
Centre, AIIMS
• Study duration-February to October 2010
(3 surveys)
• Study Group-22 Emergency Care Providers
Doctors 8
Nurses 14
Total 22
13. Study Tool
Structured, closed ended questionnaire consisted of 12
questions based on:
Usability
Applicability
Security
Helpful in research of EMR
14. Question
Are you aware of CPRS (computerized patient record system)?
a) Yes
b) No
If your answer to the above question is ‘Yes’ please proceed below:
Usability:
1. Do you have problem in logging into CPRS?
a) Never
b) Sometimes
c) Very often
d) Always
2. Overall, how easy is the computerized MLC form?
a) Not at all
b) To some extent
c) easy
d) Very useful
3. Overall, how easy is the computerized transfer notes?
a) Not at all
b) To some extent
c) easy
d) Very easy
4. Overall, how easy is the computerized discharge summary?
a) Not at all
b) To some extent
c) easy
d) Very easy
5. Overall, how easy is the computerized entry of patient vitals?
a) Not at all
b) To some extent
c) easy
d) Very easy
Applicability:
6. Do you think this system is helpful in overall patient care?
a) Never
b) Sometimes
c) Very often
d) Always
7. Do you feel demographics are more accurately entered in all forms (MLC form,
transfer out forms, discharge summary) by using the computerized system?
a) Never
b) Sometimes
c) Very often
d) Always
8. Do you think computerized MLC form is helpful for police and judiciary (courts)?
a) Never
b) Sometimes
c) Very often
d) Always
Security:
10. Do you think data can be manipulated in system (after sign off)?
a) Never
b) Sometimes
c) Very often
d) Always
11. Do you think this system will help in improving transparency and accountability?
a) Never
b) Sometimes
c) Very often
d) Always
Research:
12. Do you feel this system can be helpful in research?
a) Never
b) Sometimes
c) Very often
d) Always
15. METHODOLOGY (CONTD.)
• Likert scale (LS) was used (Likert 1=worst, likert 4=best)
• Surveys were done on day- 20 ,
day- 45 day and
9 months of implementation of EMR
• Response of emergency care providers (ECP) were compiled
• Data analyzed by SPSS version 16