With the upcoming move to ICD-10 Procedure Codes across the world, information flow will reach many new recipients to improve the world's health conditions!
Consumer Health Informatics, Mobile Health, and Social Media for Health: Part...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 November 10, 2021
Harmonizing Healthcare Financing for Health Equity: Case Studies of Cross-sub...Borwornsom Leerapan
Harmonizing Healthcare Financing for Health Equity: Case Studies of Cross-subsidization in Thai Public Hospitals. Presented in Joint Conference of Medical Sciences Chula-Rama-Siriraj (JCMS2015) 2015.6.6
Theera-Ampornpunt N. Medical informatics: a look from USA to Thailand. In: Ramathibodi’s Fourth Decade: Best Innovation to Daily Practice; 2009 Feb 10-13; Nonthaburi, Thailand [CD-ROM]. Bangkok (Thailand): Mahidol University, Faculty of Medicine Ramathibodi Hospital; 2009. 1 CD-ROM: 4 3/4 in.
Digital Access to the World's Literature: A Blueprint to Integrate Evidence w...Elaine Martin
Lamar Soutter Library Director Elaine Martin and Consultant Karen Dahlen introduce a digital public health library initiative that supports national and state public health departments. Success stories and next steps to build a sustainable digital library model for all public health department is covered.
Consumer Health Informatics, Mobile Health, and Social Media for Health: Part...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 November 10, 2021
Harmonizing Healthcare Financing for Health Equity: Case Studies of Cross-sub...Borwornsom Leerapan
Harmonizing Healthcare Financing for Health Equity: Case Studies of Cross-subsidization in Thai Public Hospitals. Presented in Joint Conference of Medical Sciences Chula-Rama-Siriraj (JCMS2015) 2015.6.6
Theera-Ampornpunt N. Medical informatics: a look from USA to Thailand. In: Ramathibodi’s Fourth Decade: Best Innovation to Daily Practice; 2009 Feb 10-13; Nonthaburi, Thailand [CD-ROM]. Bangkok (Thailand): Mahidol University, Faculty of Medicine Ramathibodi Hospital; 2009. 1 CD-ROM: 4 3/4 in.
Digital Access to the World's Literature: A Blueprint to Integrate Evidence w...Elaine Martin
Lamar Soutter Library Director Elaine Martin and Consultant Karen Dahlen introduce a digital public health library initiative that supports national and state public health departments. Success stories and next steps to build a sustainable digital library model for all public health department is covered.
Implementation of Thailand’s First Prototype for Exchanging of Laboratory Res...Nawanan Theera-Ampornpunt
Parchariyanon S, Asavanant K, Srisiriratanakul S, Tongtaweechaikit C, Theera-Ampornpunt N, Okaschareon C, Ungkanont A. Implementation of Thailand’s first prototype for exchanging of laboratory results using HL7 version 3 and LOINC [abstract]. AMIA Annu Symp Proc. 2012 Nov:1888.
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
Introduction to Health Informatics and Health Information Technology (Part 1)...Nawanan Theera-Ampornpunt
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 3, 2017
Use of translation apps and websites in health care settingsBen Harris-Roxas
Ben Harris-Roxas,1,2 Lisa Woodland,3,1 Joanne Corcoran,3 Jane Lloyd,1,4 Mark Harris,1 Rachael Kearns,1,2 Iqbal Hasan1
Australasian Association for Academic Primary Health Care ConferenceAdelaide, 12-13 July 2019
Leveraging Text Classification Strategies for Clinical and Public Health Appl...Karin Verspoor
Human-generated text is a critical component of recorded clinical data, yet remains an under-utilised resource in clinical informatics applications due to minimal standards for sharing of unstructured data as well as concerns about patient privacy. Where we can access and analyse clinical text, we find that it provides a hugely valuable resource. In this talk, I will describe two projects where we have used text classification as the basis for addressing a clinical objective: (1) a syndromic surveillance project where the task is the monitoring of health and social media data sources for changes that indicate the onset of disease outbreaks, and (2) the analysis of hospital records to enable retrieval of specific disease cases, for monitoring of the hospital case mix as well as for construction of patient cohorts for clinical research studies. I will end by briefly discussing the huge potential for clinical text analysis to support changing the way modern medicine is practised.
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 7, 2020
This is the slide deck from the first lecture of the Consumer Health Informatics and Web 2.0 in Healthcare course at Nova Southeastern University. The course is taught by CCHIR faculty and guest lecturers. This deck is from the pharmacy version of the course.
Theera-Ampornpunt N. [Electronic Health Records: What Does The HITECH Act Teach Thailand?]. Presented at: Health Informatics: From Standards to Practice. Thai Medical Informatics Association Annual Conference 2010; 2010 Nov 10-12; Nonthaburi, Thailand. Panel discussion, in Thai.
Public Health Informatics, Consumer Health Informatics, mHealth & Personal He...Nawanan Theera-Ampornpunt
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 24, 2017
Theera-Ampornpunt N. Informatics in emergency medicine: a brief introduction. In: The International Conference in Emergency Medicine: Challenges in Emergency Medicine: It’s Time for Change!; 2012 Jan 30 - Feb 1; Bangkok, Thailand. Bangkok (Thailand): Mahidol University, Faculty of Medicine Ramathibodi Hospital; 2012 Feb.
The Learning Health System: Thinking and Acting Across ScalesPhilip Payne
A Learning Health System (LHS) can be defined as an environment in which knowledge generation processes are embedded into daily clinical practice in order to continually improve the quality, safety, and outcomes of healthcare delivery. While still largely an aspirational goal, the promise of the LHS is a future in which every patient encounter is an opportunity to learn and improve that patient’s care, as well as the care their family and broader community receives. The foundation for building such an LHS can and should be the Electronic Health Record (EHR), which provides the basis for the comprehensive instrumentation and measurement of clinical phenotypes, as well as a means of delivering new evidence at the patient- and population levels. In this presentation, we will explore the ways in which such EHR-derived phenotypes can be combined with complementary data across a spectrum from biomolecules to population level trends, to both generate insights and deliver such knowledge in the right time, place, and format, ultimately improving clinical outcomes and value.
Peter Embi: Leveraging Informatics to Create a Learning Health SystemPAÍS DIGITAL
Presentación del Dr. Peter Embi, Presidente y CEO del Regenstrief Institute, en el marco del Primer Simposio Salud: Nuevas Tecnologías, Avances y Desafíos, realizado en Santiago de Chile los días 18 y 19 de julio, 2017
Implementation of Thailand’s First Prototype for Exchanging of Laboratory Res...Nawanan Theera-Ampornpunt
Parchariyanon S, Asavanant K, Srisiriratanakul S, Tongtaweechaikit C, Theera-Ampornpunt N, Okaschareon C, Ungkanont A. Implementation of Thailand’s first prototype for exchanging of laboratory results using HL7 version 3 and LOINC [abstract]. AMIA Annu Symp Proc. 2012 Nov:1888.
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
Introduction to Health Informatics and Health Information Technology (Part 1)...Nawanan Theera-Ampornpunt
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 3, 2017
Use of translation apps and websites in health care settingsBen Harris-Roxas
Ben Harris-Roxas,1,2 Lisa Woodland,3,1 Joanne Corcoran,3 Jane Lloyd,1,4 Mark Harris,1 Rachael Kearns,1,2 Iqbal Hasan1
Australasian Association for Academic Primary Health Care ConferenceAdelaide, 12-13 July 2019
Leveraging Text Classification Strategies for Clinical and Public Health Appl...Karin Verspoor
Human-generated text is a critical component of recorded clinical data, yet remains an under-utilised resource in clinical informatics applications due to minimal standards for sharing of unstructured data as well as concerns about patient privacy. Where we can access and analyse clinical text, we find that it provides a hugely valuable resource. In this talk, I will describe two projects where we have used text classification as the basis for addressing a clinical objective: (1) a syndromic surveillance project where the task is the monitoring of health and social media data sources for changes that indicate the onset of disease outbreaks, and (2) the analysis of hospital records to enable retrieval of specific disease cases, for monitoring of the hospital case mix as well as for construction of patient cohorts for clinical research studies. I will end by briefly discussing the huge potential for clinical text analysis to support changing the way modern medicine is practised.
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 7, 2020
This is the slide deck from the first lecture of the Consumer Health Informatics and Web 2.0 in Healthcare course at Nova Southeastern University. The course is taught by CCHIR faculty and guest lecturers. This deck is from the pharmacy version of the course.
Theera-Ampornpunt N. [Electronic Health Records: What Does The HITECH Act Teach Thailand?]. Presented at: Health Informatics: From Standards to Practice. Thai Medical Informatics Association Annual Conference 2010; 2010 Nov 10-12; Nonthaburi, Thailand. Panel discussion, in Thai.
Public Health Informatics, Consumer Health Informatics, mHealth & Personal He...Nawanan Theera-Ampornpunt
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 24, 2017
Theera-Ampornpunt N. Informatics in emergency medicine: a brief introduction. In: The International Conference in Emergency Medicine: Challenges in Emergency Medicine: It’s Time for Change!; 2012 Jan 30 - Feb 1; Bangkok, Thailand. Bangkok (Thailand): Mahidol University, Faculty of Medicine Ramathibodi Hospital; 2012 Feb.
The Learning Health System: Thinking and Acting Across ScalesPhilip Payne
A Learning Health System (LHS) can be defined as an environment in which knowledge generation processes are embedded into daily clinical practice in order to continually improve the quality, safety, and outcomes of healthcare delivery. While still largely an aspirational goal, the promise of the LHS is a future in which every patient encounter is an opportunity to learn and improve that patient’s care, as well as the care their family and broader community receives. The foundation for building such an LHS can and should be the Electronic Health Record (EHR), which provides the basis for the comprehensive instrumentation and measurement of clinical phenotypes, as well as a means of delivering new evidence at the patient- and population levels. In this presentation, we will explore the ways in which such EHR-derived phenotypes can be combined with complementary data across a spectrum from biomolecules to population level trends, to both generate insights and deliver such knowledge in the right time, place, and format, ultimately improving clinical outcomes and value.
Peter Embi: Leveraging Informatics to Create a Learning Health SystemPAÍS DIGITAL
Presentación del Dr. Peter Embi, Presidente y CEO del Regenstrief Institute, en el marco del Primer Simposio Salud: Nuevas Tecnologías, Avances y Desafíos, realizado en Santiago de Chile los días 18 y 19 de julio, 2017
Workshop: Effective Patient Adherence Management by Engaging Enabling Technologies
Pei-Yun Sabrina Hsueha, Vimla L. Patelb, Fernando Sanchezc, Marcia Itod,e, Chohreh Partoviana, María V. Giussi Bordonig, Marion Ballf,a
a IBM T.J. Watson Research Center, Yorktown Heights, NY, USA
b Center for Cognitive Studies in Medicine and Public Health, the New York Academy of Medicine, New York, NY, USA
c Health and Biomedical Informatics Center, University of Melbourne, Melbourne, Australia
d IBM Brazil Research Lab, Sao Paolo, Brazil
e Telehealth/Teledentistry Center, School of Dentistry, University of Sao Paulo, Sao Paulo, Brazil
f Johns Hopkins University, Baltimore, MD, USA
g Health Informatics Department, Hospital Italiano de Buenos Aires, Argentina.
Abstract
Effective patient adherence management strategies require better understanding of patient-generated data, including patient-reported data and measurements from devices and sensors, as key to assisting providers in learning more about their patients’needs and enhancing patient centric care. Gaining “meaningful use” of patient-generated data could ultimately lead to improvements in patient safety and outcomes. In this workshop, we review proof of concept studies using technology to assess patient health literacy and self-efficacy with the goal of providing timely intervention, remedy, and improvements in cost and quality of care. In particular, we focus on engagement-enabling technolgoies that can leverage non-clinical information sources and reflect patient activities in the “wild”. We look into barriers to adherence, patients and providers roles in improving adherence, and the use of technology to assist patients in staying on track. The speakers will address the issues related tothe integration of patient-generated data into everyday life and clinical practice and share lessons learned from implementing these designs in practice. This workshop aims to share requirements gathered for the design of next-generation healthcare systems, especially in areas where the explosive availability of patient-generated data is expected to make impacts.
HEC 2016 Panel: Putting User-Generated Data in Action: Improving Interpretabi...Pei-Yun Sabrina Hsueh
Chair/Moderator: Pei-Yun Sabrina HSUEH, PhD (IBM T.J. Watson Research Center)
Panelists: XinXin ZHU, Bian YANG, Ying-Kuen CHEUNG , Thomas WETTER, and Sanjoy DEY
a IBM T.J. Watson Research Center, USA
b Norwegian University of Science and Technology, Norway
c Mailman School of Public health, Columbia University, USA
d, Department of Biomedical Informatics, University of Washington, USA
e Department of Medical Informatics, University of Heidelberg, Germany
The rise of consumer health awareness and the recent advent of personal health management tools (including mobile and health wearable devices) have contributed to another shift transforming the healthcare landscape. Despite the rise of health consumers, the impact of user-generated health data remains to be validated. In fact, many applications are hinged on the interpretability issues of this sort of data. The aim of this panel is two-fold. First, this panel aims to review the key dimensions in the interpretability, spanning from quality and reliability to information security and trust management. Secondly, since similar issues and methodologies have been proposed in different application areas ranging from clinical decision support to behavioral interventions and clinical trials, the panelists will also discuss both the success stories and the areas that fall short. The opportunities and barriers identified can then serve as guidelines or action items individuals can bring to their organizations to further improve the interpretability of user-generated data.
Wake up Pharma and look into your Big data Yigal Aviv
The vast volumes of medical data collected offers pharma the opportunity to harness the information in big data sets
Unlocking the potential in these data sources can ultimately lead to improved patients outcomes
This presentation describes consideration how to maximize the impact of Big Data.
its methodology, practical challenges and implications.
Presentation “Harnessing EHRs and Health IT to Achieve Population Health”
Jonathan Weiner, DrPH
Professor Department of Health Policy and Management
Director of Center for Population Health IT
Johns Hopkins Bloomberg School of Public Health, Baltimore Maryland
Professor Weiner’s presentation will focus on how electronic health records and other e-health tools can be harnessed to move beyond providing medical care for a single patient episode towards the achievement of “population health.” This provocative presentation will offer new conceptual paradigms and will review “big data” opportunities and challenges. The emphasis of the talk will be on how population focused care transformation can be brought about through the integration and application of e-health/EHR systems and claims/MIS systems. The talk will offer examples of analytic tools and methods designed to increase the effectiveness, efficiency and equity of care provided at a geographic community level and to “populations” of consumers enrolled in health plans, ACOs and other integrated delivery systems.
Key goals of presentation:
∙ To offer frameworks and paradigms to better understand how EHRs and other HIT can improve population health
∙ To outline opportunities and challenges for communities, ACOs and other integrated delivery systems
∙ To offer some case studies on the application of health IT to population health
The Imperative of Linking Clinical and Financial Data to Improve Outcomes - H...Health Catalyst
Quality and cost improvements require the intelligent use of financial and clinical data coupled with education for multi-disciplinary teams who are driving process improvements. Once a data warehouse is established, healthcare organizations need to set up multi-disciplinary clinical, financial, and IT specialist teams to make the best use of the data. Sometimes, financial involvement is minimized or even excluded for a number of reasons that can turn out to be counterproductive. However, including financial measurements and participation up front can help enhance the recognized value and sustainability of quality improvement or waste reduction efforts. the In this session you will learn keys to success and real-life examples of linking clinical, financial and patient satisfaction data via multi-disciplinary teams that produce impressive results.
Clinical Research Informatics (CRI) Year-in-Review 2014Peter Embi
Peter Embi's review of notable publications and events in the field of Clinical Research Informatics (CRI) that took place in 2013+. This was presented as the closing keynote presentation of the 2014 AMIA CRI Summit in San Francisco, CA on April 11, 2014.
OSU Medical Center CEO Steven Gabbe, MD delivers a talk on facilitating learning healthcare systems: Focus on approaches to leverage Health IT investments for advancements in research and personalized healthcare and learning from every patient.
This session will focus on the usages of HIT to learn from every patient so that this knowledge can be used to further the practice of medicine. The discussion will address the implications for research, privacy, and HIT to change the paradigm of advancing healthcare discoveries so that it is a continuous process driven through every patient interaction.
MIE Medical Informatics in Europe: European Federation for Medical Informatics (EFMI) annual meeting
Worklshop: Addressing Patient Adherence Issues by Engaging Enabling Technologies
Chair: Pei-Yun Sabrina Hsueh (IBM T.J. Watson Research Center)
Pei-Yun Sabrina HSUEHa, , Marion BALL b,a, Michael MARSCHOLLEKc, Fernando J. MARTIN-SANCHEZd , Chohreh PARTOVIANa, and Vimla PATELe
aIBM T.J. Watson Research Center, NY, USA
b John Hopkins University, MD, USA
c Hannover Medical School, Germany
d Melbourne Medical School, Australia
e Center for Cognitive Studies in Medicine and Public Health, The New York Academy, USA
Abstract One of the well known issues providers have contended with for many years is the issue of patients’ adherence to their care plans and medications outside clinical encounters. In this workshop, we review proof of concept studies using technology at the point of care to assess patient literacy and self-efficacy to provide timely intervention, remedy, and improvements in cost and quality. We focus on patient-generated information, including patient reported data and measurements from devices and sensors, as key to improving patient safety, gaining “meaningful use” data, improving patient centric care, and assisting providers in learning more about their patient needs to improve outcomes. We look into barriers to adherence, basic understanding of the patients and providers roles in improving adherence, and the use of technology to assist patients in staying on track. The participants will address their findings in the integration of patient-generated information into everyday life and clinical practice and share lessons learned from implementing these designs in practice. This workshop aims to share requirements for the next-generation healthcare systems, especially in areas where the explosive availability of patient-generated data is expected to make impacts.
NER Public Health Digital Library ProjectElaine Martin
The New England Region's Public Health Digital Library Project was presented by Elaine Martin, DA, and Karen Dahlen. The project aims to build a digital public health library that will help make information resources, such as full-text journal articles, evidence-based guidelines, and systematic reviews available to public health professionals in all 50 U.S. states.
The slide presentation that preceded of the annual Health Datapalooza in Washington DC, PCORI was pleased to participate in the latest installment in the Health Data Consortium and PricewaterhouseCoopers (PwC) Innovators in Health Data Series, a webinar featuring PCORI Executive Director Joe Selby, MD, MPH; NIH Director and PCORI Board of Governors member Francis Collins, MD, PhD; and Philip Bourne, PhD, NIH’s Associate Director for Data Science.
From Research to Practice - New Models for Data-sharing and Collaboration to ...Health Data Consortium
Watch the webinar here: http://encore.meetingbridge.com/MB005418/140528/
Webinar transcript: http://hdc.membershipsoftware.org/Files/webinars/HDC-PwC%20NIH%20&%20PCORI%20Webinar%20Transcript%205_28_14.pdf
Patient-Centered Outcomes Research Institute (PCORI) Executive Director Joe Selby, MD, MPH; National Institutes of Health (NIH) Director and PCORI Board of Governors member Francis Collins, MD, PhD; and NIH Associate Director for Data Science Philip Bourne, PhD discussed new and emerging trends in big data for health, including:
- How researchers, patients, clinicians, and others are forging new models for data-sharing.
- Leveraging the quantity, variety, and analytic potential of health-related data for research and practice.
- Addressing patients’ perspectives, needs, and concerns in creating new opportunities for innovation and translational science.
- Exciting initiatives such as PCORnet, the National Patient-Centered Clinical Research Network initiative that PCORI is now helping to develop, and related open data and technology efforts such - as the NIH Health Systems Collaboratory and Big Data to Knowledge (BD2K) initiative.
Discover more health data resources on our website at http://www.healthdataconsortium.org/
Couples presenting to the infertility clinic- Do they really have infertility...Sujoy Dasgupta
Dr Sujoy Dasgupta presented the study on "Couples presenting to the infertility clinic- Do they really have infertility? – The unexplored stories of non-consummation" in the 13th Congress of the Asia Pacific Initiative on Reproduction (ASPIRE 2024) at Manila on 24 May, 2024.
Ethanol (CH3CH2OH), or beverage alcohol, is a two-carbon alcohol
that is rapidly distributed in the body and brain. Ethanol alters many
neurochemical systems and has rewarding and addictive properties. It
is the oldest recreational drug and likely contributes to more morbidity,
mortality, and public health costs than all illicit drugs combined. The
5th edition of the Diagnostic and Statistical Manual of Mental Disorders
(DSM-5) integrates alcohol abuse and alcohol dependence into a single
disorder called alcohol use disorder (AUD), with mild, moderate,
and severe subclassifications (American Psychiatric Association, 2013).
In the DSM-5, all types of substance abuse and dependence have been
combined into a single substance use disorder (SUD) on a continuum
from mild to severe. A diagnosis of AUD requires that at least two of
the 11 DSM-5 behaviors be present within a 12-month period (mild
AUD: 2–3 criteria; moderate AUD: 4–5 criteria; severe AUD: 6–11 criteria).
The four main behavioral effects of AUD are impaired control over
drinking, negative social consequences, risky use, and altered physiological
effects (tolerance, withdrawal). This chapter presents an overview
of the prevalence and harmful consequences of AUD in the U.S.,
the systemic nature of the disease, neurocircuitry and stages of AUD,
comorbidities, fetal alcohol spectrum disorders, genetic risk factors, and
pharmacotherapies for AUD.
Title: Sense of Smell
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the primary categories of smells and the concept of odor blindness.
Explain the structure and location of the olfactory membrane and mucosa, including the types and roles of cells involved in olfaction.
Describe the pathway and mechanisms of olfactory signal transmission from the olfactory receptors to the brain.
Illustrate the biochemical cascade triggered by odorant binding to olfactory receptors, including the role of G-proteins and second messengers in generating an action potential.
Identify different types of olfactory disorders such as anosmia, hyposmia, hyperosmia, and dysosmia, including their potential causes.
Key Topics:
Olfactory Genes:
3% of the human genome accounts for olfactory genes.
400 genes for odorant receptors.
Olfactory Membrane:
Located in the superior part of the nasal cavity.
Medially: Folds downward along the superior septum.
Laterally: Folds over the superior turbinate and upper surface of the middle turbinate.
Total surface area: 5-10 square centimeters.
Olfactory Mucosa:
Olfactory Cells: Bipolar nerve cells derived from the CNS (100 million), with 4-25 olfactory cilia per cell.
Sustentacular Cells: Produce mucus and maintain ionic and molecular environment.
Basal Cells: Replace worn-out olfactory cells with an average lifespan of 1-2 months.
Bowman’s Gland: Secretes mucus.
Stimulation of Olfactory Cells:
Odorant dissolves in mucus and attaches to receptors on olfactory cilia.
Involves a cascade effect through G-proteins and second messengers, leading to depolarization and action potential generation in the olfactory nerve.
Quality of a Good Odorant:
Small (3-20 Carbon atoms), volatile, water-soluble, and lipid-soluble.
Facilitated by odorant-binding proteins in mucus.
Membrane Potential and Action Potential:
Resting membrane potential: -55mV.
Action potential frequency in the olfactory nerve increases with odorant strength.
Adaptation Towards the Sense of Smell:
Rapid adaptation within the first second, with further slow adaptation.
Psychological adaptation greater than receptor adaptation, involving feedback inhibition from the central nervous system.
Primary Sensations of Smell:
Camphoraceous, Musky, Floral, Pepperminty, Ethereal, Pungent, Putrid.
Odor Detection Threshold:
Examples: Hydrogen sulfide (0.0005 ppm), Methyl-mercaptan (0.002 ppm).
Some toxic substances are odorless at lethal concentrations.
Characteristics of Smell:
Odor blindness for single substances due to lack of appropriate receptor protein.
Behavioral and emotional influences of smell.
Transmission of Olfactory Signals:
From olfactory cells to glomeruli in the olfactory bulb, involving lateral inhibition.
Primitive, less old, and new olfactory systems with different path
Tom Selleck Health: A Comprehensive Look at the Iconic Actor’s Wellness Journeygreendigital
Tom Selleck, an enduring figure in Hollywood. has captivated audiences for decades with his rugged charm, iconic moustache. and memorable roles in television and film. From his breakout role as Thomas Magnum in Magnum P.I. to his current portrayal of Frank Reagan in Blue Bloods. Selleck's career has spanned over 50 years. But beyond his professional achievements. fans have often been curious about Tom Selleck Health. especially as he has aged in the public eye.
Follow us on: Pinterest
Introduction
Many have been interested in Tom Selleck health. not only because of his enduring presence on screen but also because of the challenges. and lifestyle choices he has faced and made over the years. This article delves into the various aspects of Tom Selleck health. exploring his fitness regimen, diet, mental health. and the challenges he has encountered as he ages. We'll look at how he maintains his well-being. the health issues he has faced, and his approach to ageing .
Early Life and Career
Childhood and Athletic Beginnings
Tom Selleck was born on January 29, 1945, in Detroit, Michigan, and grew up in Sherman Oaks, California. From an early age, he was involved in sports, particularly basketball. which played a significant role in his physical development. His athletic pursuits continued into college. where he attended the University of Southern California (USC) on a basketball scholarship. This early involvement in sports laid a strong foundation for his physical health and disciplined lifestyle.
Transition to Acting
Selleck's transition from an athlete to an actor came with its physical demands. His first significant role in "Magnum P.I." required him to perform various stunts and maintain a fit appearance. This role, which he played from 1980 to 1988. necessitated a rigorous fitness routine to meet the show's demands. setting the stage for his long-term commitment to health and wellness.
Fitness Regimen
Workout Routine
Tom Selleck health and fitness regimen has evolved. adapting to his changing roles and age. During his "Magnum, P.I." days. Selleck's workouts were intense and focused on building and maintaining muscle mass. His routine included weightlifting, cardiovascular exercises. and specific training for the stunts he performed on the show.
Selleck adjusted his fitness routine as he aged to suit his body's needs. Today, his workouts focus on maintaining flexibility, strength, and cardiovascular health. He incorporates low-impact exercises such as swimming, walking, and light weightlifting. This balanced approach helps him stay fit without putting undue strain on his joints and muscles.
Importance of Flexibility and Mobility
In recent years, Selleck has emphasized the importance of flexibility and mobility in his fitness regimen. Understanding the natural decline in muscle mass and joint flexibility with age. he includes stretching and yoga in his routine. These practices help prevent injuries, improve posture, and maintain mobilit
The prostate is an exocrine gland of the male mammalian reproductive system
It is a walnut-sized gland that forms part of the male reproductive system and is located in front of the rectum and just below the urinary bladder
Function is to store and secrete a clear, slightly alkaline fluid that constitutes 10-30% of the volume of the seminal fluid that along with the spermatozoa, constitutes semen
A healthy human prostate measures (4cm-vertical, by 3cm-horizontal, 2cm ant-post ).
It surrounds the urethra just below the urinary bladder. It has anterior, median, posterior and two lateral lobes
It’s work is regulated by androgens which are responsible for male sex characteristics
Generalised disease of the prostate due to hormonal derangement which leads to non malignant enlargement of the gland (increase in the number of epithelial cells and stromal tissue)to cause compression of the urethra leading to symptoms (LUTS
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.
New Directions in Targeted Therapeutic Approaches for Older Adults With Mantl...i3 Health
i3 Health is pleased to make the speaker slides from this activity available for use as a non-accredited self-study or teaching resource.
This slide deck presented by Dr. Kami Maddocks, Professor-Clinical in the Division of Hematology and
Associate Division Director for Ambulatory Operations
The Ohio State University Comprehensive Cancer Center, will provide insight into new directions in targeted therapeutic approaches for older adults with mantle cell lymphoma.
STATEMENT OF NEED
Mantle cell lymphoma (MCL) is a rare, aggressive B-cell non-Hodgkin lymphoma (NHL) accounting for 5% to 7% of all lymphomas. Its prognosis ranges from indolent disease that does not require treatment for years to very aggressive disease, which is associated with poor survival (Silkenstedt et al, 2021). Typically, MCL is diagnosed at advanced stage and in older patients who cannot tolerate intensive therapy (NCCN, 2022). Although recent advances have slightly increased remission rates, recurrence and relapse remain very common, leading to a median overall survival between 3 and 6 years (LLS, 2021). Though there are several effective options, progress is still needed towards establishing an accepted frontline approach for MCL (Castellino et al, 2022). Treatment selection and management of MCL are complicated by the heterogeneity of prognosis, advanced age and comorbidities of patients, and lack of an established standard approach for treatment, making it vital that clinicians be familiar with the latest research and advances in this area. In this activity chaired by Michael Wang, MD, Professor in the Department of Lymphoma & Myeloma at MD Anderson Cancer Center, expert faculty will discuss prognostic factors informing treatment, the promising results of recent trials in new therapeutic approaches, and the implications of treatment resistance in therapeutic selection for MCL.
Target Audience
Hematology/oncology fellows, attending faculty, and other health care professionals involved in the treatment of patients with mantle cell lymphoma (MCL).
Learning Objectives
1.) Identify clinical and biological prognostic factors that can guide treatment decision making for older adults with MCL
2.) Evaluate emerging data on targeted therapeutic approaches for treatment-naive and relapsed/refractory MCL and their applicability to older adults
3.) Assess mechanisms of resistance to targeted therapies for MCL and their implications for treatment selection
Prix Galien International 2024 Forum ProgramLevi Shapiro
June 20, 2024, Prix Galien International and Jerusalem Ethics Forum in ROME. Detailed agenda including panels:
- ADVANCES IN CARDIOLOGY: A NEW PARADIGM IS COMING
- WOMEN’S HEALTH: FERTILITY PRESERVATION
- WHAT’S NEW IN THE TREATMENT OF INFECTIOUS,
ONCOLOGICAL AND INFLAMMATORY SKIN DISEASES?
- ARTIFICIAL INTELLIGENCE AND ETHICS
- GENE THERAPY
- BEYOND BORDERS: GLOBAL INITIATIVES FOR DEMOCRATIZING LIFE SCIENCE TECHNOLOGIES AND PROMOTING ACCESS TO HEALTHCARE
- ETHICAL CHALLENGES IN LIFE SCIENCES
- Prix Galien International Awards Ceremony
1. Designing for Innovation: Interventional Informatics
and the Healthcare Information Age
Philip R.O. Payne, PhD, FACMI
Professor and Chair, College of Medicine, Department of Biomedical Informatics
Professor, College of Public Health, Division of Health Services Management and Policy
Director, Translational Data Analytics @ Ohio State
Associate Director for Data Sciences, Center for Clinical and Translational Science
Co-Director, Bioinformatics Shared Resource, Comprehensive Cancer Center
2. COI/Disclosures
Federal Funding: NCI, NLM, NCATS
Additional Research Funding: SAIC, Rockefeller Philanthropy Associates,
Academy Health, Pfizer
Academic Consulting: CWRU, Cleveland Clinic, University of Cincinnati,
Columbia University, Emory University, Virginia Commonwealth University,
University of California San Diego, University of California Irvine, University
of Minnesota, Northwestern University
International Partnerships: Soochow University (China), Fudan University
(China), Clinical Alemana (Chile), Universidad de Chile (Chile)
Other Consulting/Honoraria: American Medical Informatics Association
(AMIA), Institute of Medicine (IOM)
Editorial Boards: Journal of the American Medical Informatics Association,
Journal of Biomedical Informatics, eGEMS
Study Sections: NLM (BLIRC), NCATS (formerly NCRR)
Corporate: Signet Accel LLC (Founder), Signet Innovations LLC (Advisor),
Futurety, Illumina, Aver Informatics, Philips Healthcare, Epic, IBM
3. A Roadmap for Today’s Talk
Setting
“The Stage”
Current
Opportunities
for Innovation
What’s
Next…
Healthcare
transformation
HIT and data
landscape
Informatics as the
intervention
Data analytics and
decision science
Interactive decision
support
Knowledge-based
healthcare
Data “liquidity”
Creating an evidence
generating medicine
system
BMI and data
analytics at OSU
5. A Unique Confluence of Trends and Capabilities That
Will Define the Future of Healthcare
Healthcare
Transformation
Evolving HIT
and Data
Landscape
Design
Thinking
Changing culture,
incentives, and
business model(s)
Advent of the “HIT
and Big Data Age”
Systems Approach
to Innovation in
Complex
Environments
6. Healthcare
Transformation
We are beginning to address
fundamental challenges facing
the US healthcare system:
Misalignment of economic
incentives
Intrinsic inefficiencies
Transactional focus
Access
Workforce
How to fix a fragmented system?
Delivery
Technology
Research vs. Practice
What is the role of informatics
and data analytics in terms of
catalyzing solutions to driving
problems in the health and life
sciences? Source: http://theincidentaleconomist.com
7. Evolving HIT and Data Landscape
Characteristics Before The Printing
Press
After The Printing
Press
Cost High
Printed materials only
available to the
extremely wealthy
Low
Printed materials
become cost effective
for general public
Ubiquity Low
Copies of printed
materials had to be
transcribed by hand,
limiting number of
instances
High
Mass production of
printed materials leads
to broad dissemination
and access
Reproducibility Low
Errors of transcription
and omission very
common
High
Systematic printing
processes ensure
fidelity of materials
The Advent of the Printing Press and the 1st Information Age
Characteristics Before HIT and Big
Data
After HIT and Big
Data
Cost High
Data sets generated
and/or curated on a
need basis
Low
Data production and
storage costs
decreasing in excess of
Moores Law
Ubiquity Low
Proprietary data
situated in vendor or
project-specific
repositories and
formats
High
Data becoming a
renewable resource
enabled by diverse re-
use scenarios
Reproducibility Low
Errors of transcription
and omission very
common
High
Linked public data
enables the creation of
“commons” model
Growth in HIT and Big Data in the Healthcare Information Age
8. Evolving HIT and Data Landscape (2):
Re-engineering Medicine Through Data Analytics
9. Rethinking the Role of Informatics and Data
Analytics: Informatics as the Intervention
Source: http://www.yourgenome.org
Effect on System
Safety and Tractability
Impact on
Targeted Problem
Comparison to
Existing Practices
Long Term Effects
on System
Critical Advantages:
Cost
Time
IP/Financial “Up Side”
Average Cost = 5-6B
Duration = 15-20y
Average Cost = 200-250k
Duration = 6m-1y
12. A Survey of Current Opportunities for Innovation:
Intersection of Healthcare Transformation, HIT, Big Data
and Design Thinking
Creating a learning healthcare system through the
implementation of an Evidence Generating Medicine
(EGM) paradigm
Enabling adaptive therapies at the point-of-care
Supporting patient-centered decision making in non-
traditional settings or contexts
13. Creating an Evidence Generating
Medicine (EGM) Paradigm
Payne, Philip RO, and Peter J. Embi, eds. Translational Informatics: Realizing the Promise of Knowledge-Driven Healthcare. Springer, 2014.
14. EGM in Action (1): Instrumenting the EHR to support risk
profiling and patient-centered decision making
Pa ent
Encounter in IHIS
Clinical Database
Collected by EHR
Informa on
Warehouse
SPHERE Data Mart
Pa ent Survey
Tools
Stored To
Exported To
Materialized As
Op onal Source of
Addi onal Data
BPA w/Link to Project-
Specific Web
Applica on
Triggers
Invokes
SPHERE Web Applica on
Risk Profiling Algorithm
Pa ent-Specific Risk Profile
Data Concilia on
Visualiza on of Interac ve Risk
Report @ point-of-care
Supplies Encounter Data
Request Historic Data
Delivers
Updates on interac on
Selected Publications:
• Foraker RE, Shoben AB, Lopetegui MA, Lai AM, Payne PR, Kelley M, Roth C, Tindle H, Schreiner A,
Jackson RD. Assessment of Life’s Simple 7TM in the Primary Care Setting: The Stroke Prevention in
Healthcare Delivery EnviRonmEnts (SPHERE) Study. Contemp Clin Trials. 2014
• Roth C, Foraker RE, Lopetegui M, Kelley MM, Payne PR. Facilitating EHR-based Communication and
Understanding in a Learning Healthcare System. Proc AcademyHealth Annual Research Meeting. 2014
• Lopetegui M, Foraker RE, Harper J, Ervin D, Payne PR. Real-time Data-driven Tools for Clinicians: A
Module for Extending Functionalities within the EHR. Proc AcademyHealth Annual Research Meeting.
2014
• Foraker RE, Shoben AB, Lai AM, Payne PR, Kelley MM, Lopetegui MA, Langan M, Tindle H, Jackson RD.
Electronic Health Record-based Assessment of Cardiovascular Health. Proc AHA Annual Meeting.
2015
• Foraker RE, Kite B, Kelley MM, Lai AM, Roth C, Lopetegui MA, Shoben AB, Langan M, Rutledge N, Payne
PR. EHR-based Visualization Tool: Adoption Rates, Satisfaction, and Patient Outcomes. EDM Forum,
eGEMS, 2015.
15. EGM in Action (2): Embedding Decision Support and
Visualization Tools in Existing EHR Workflow
Interactive Risk Visualization
Patient-Centered Decision Making
16. EGM in Action (3): Impacting Decision Making and Clinical
Outcomes in At-Risk Populations
One-year changes in CVH: Intervention clinic (n=160)
One-year changes in CVH: Control clinic (n=109)
Average age was 74 years (eligible patients ≥ 65)
Intervention clinic was 35% black (control clinic
19% black)
Improvements seen in the intervention clinic – but
not control clinic – for diabetes and body mass
index
Pragmatic RCT Design
(Clinic-Based Randomization)
17. From Predictive Analytics to Decision Support
Selected Publications:
• Embi PJ, Payne PR. Evidence Generating Medicine: Redefining the Research-Practice
Relationship to Complete the Evidence Cycle. Med Care. 2013 Aug; 51(8 Suppl 3):S87-91.
• Abrams Z, Markowitz J, Carson W, Payne PR. Clinically Actionable MicroRNA Expression
Profiling for Cancer Diagnostics and Therapeutic Planning. AMIA Joint Summits 2015
• Raje S, Kite B, Ramanathan J, Payne PR. Real-time Data Fusion Platforms: The Need of Multi-
dimentional Data-driven Research in Biomedical Informatics. MedINFO, 2015.
18. Bridging Molecules and Populations At The
Point-of-Care: Predictive Cancer Therapeutics
• Design:
Cluster-based case
based reasoning
engine
Interactive
visualization
Used for
Identification of
adaptive therapy
strategies in
sarcoma based
upon SNP-based
“signatures”
• Observational study:
Usability
Perceived utility
(adoption)
Impact on
physician decision
making
19. Taking Decision Support Into the Field: Mobile
Computing and Sports Medicine
• Design:
Statistical risk profiling of
surgical treatment plans
(RR)
Mobile application
Used for patient-centered
decision making by
athletes, mediated by
athletic trainers (“in the
field”)
• Observational study:
Usability
Perceived utility
(adoption)
Impact on patient
decision making
Selected Publications:
• Embi PJ, Hebert C, Gordillo G, Kelleher K, Payne PR. Knowledge Management and Informatics Considerations for Comparative Effectiveness
Research: A Case-driven Exploration. Medical Care. 2013; 51(8):S38-S44.
• Roth C, Foraker RE, Payne PR. Bringing Public Health into the Primary Care Clinic through an EHR-based Application: Lessons Learned for Public
Health and Informatics. 2014 Public Health Informatics Conference. Atlanta, GA. 2014
• Payne PR. Advancing User Experience Research to Facilitate and Enable Patient Centered Research: Current State and Future Directions. eGEMs
(Generating Evidence & Methods to Improve Patient Outcomes). 2013; 1(1):10.
21. The Traditional Healthcare Model and the
Role of Patients and Populations
Adapted from: Payne, Philip RO, and Peter J. Embi, eds. Translational Informatics: Realizing the Promise of Knowledge-Driven Healthcare. Springer, 2014.
22. The Alternative Model: Revisiting EGM in the
Context of The Learning Healthcare Ecosystem
Adapted from: Payne, Philip RO, and Peter J. Embi, eds. Translational Informatics: Realizing the Promise of Knowledge-Driven Healthcare. Springer, 2014.
23. What Needs to Be Done to Realize This Vision?
1) Creation of oversight and “trust fabrics” across levels or responsibility and
engagement
Evidence and policy generators
Providers and healthcare organizations
Patients and their communities
2) Understanding value propositions so as to ensure appropriate levels of
engagement
Creating incentives
Removing barriers
3) Establishing linkages between stakeholder participation in the healthcare
system and outcome measurement
Roles and responsibilities
Data “liquidity”
4) Ensuring that HIT architectures and Applied Biomedical Informatics
practice adapt and adopt to these strategies
24. Intersection of Data Governance, Analytics and
Healthcare Research or Operations using EGM Paradigm
Operational
Analytics
(Understanding
Operations and
Business
Environment)
Research
Analytics
(Identifying and
Quantifying
Novel Models
and Findings)
Business Intelligence (BI)
(Tracking and Evaluation)
Data, Information, and
Knowledge Infrastructure
(Warehousing, Registries, Analysis
Platforms)
Integration
Critical Dimensions of this Model:
• BI uses known models/measures to
present data in a way that can support
business operations
• Operational analytics investigates
emergent environmental and/or
competitive phenomena internally and
externally that serve to inform strategic
decision making
• Research analytics identifies and
quantifies the relative impact of novel
models and findings
All three areas need to be coordinated
by a cross-cutting governance and
decision making model, representing
the needs of all stakeholder groups
Cross-CuttingGovernance&DecisionMaking
Practice Innovation
RapidCycleTranslation
25. Survival Guide for BMI in HIT and Data Era
1) Fully embrace interdisciplinary:
Structure
Function
Competency-based Training
2) Pursue emerging (or remerging) research foci:
Data science
Health services and quality improvement
Decision science and support (in the context of “Big Data”)
Human factors and workflow
Integrating patients and communities into the healthcare and research “fabric”
3) Engage with health system(s):
Analytics
Workflow and human factors
Transformation
4) Develop robust technology transfer and commercialization agendas
Partnerships and networking
“De-risking” technologies
5) Adapt strategies from the private sector
Identify and place disproportionate emphasis on “blue oceans”
Behave like a start-up (speed, agility, “real artists ship”)
26. BMI and Analytics in the New Academic Enterprise
Traditional Model Emerging Model
Departments and Divisions Multi-disciplinary Centers
and Institutes
Tuition, Grant and Service
Revenue
Technology Transfer
Revenue, Public-Private
Partnerships, Contracts, Multi-
Center Consortia
Separation of Science and
Service
Service as Science:
• Institutional
• Community
Publications and
Presentations
Commercialization,
Translation into Healthcare
Delivery Organizations
Scholarly Home
Revenue
Dissemination
Culture
How To Achieve Balance?
27. TDA@OhioState: A Interdisciplinary Home
for Translational Data Analytics
Institute for Translational Data Analytics:
• Physical and virtual hub
• Shared services
• Solution factory
Active Community of Data Analytics
Education, Research, and Practice:
• Engaged faculty teams
• Trainees and curricula at all levels
• Public-private and public-public
partnerships
• Advocacy
International Recognition for Delivering
Data Analytics Solutions
Demonstrable Local, Regional, National,
and International Impact
Community • Solutions • Impact
28. Bridging Disciplines and Methods
Translational Data Analytics
The application of data analytics theories and methods to generate solutions for
real world problems
Theories and Methods
Real World
Applications
Implementation
and
Dissemination
Basic Science Applied Science Practice
Foundational data analytics strength at Ohio State
• Computational methods – machine learning
• Modeling and representation of complex data sets
• Data engineering – methods to collect, manage and transmit complex, heterogeneous data
• Sensor networks and data
29. Leveraging and
Integrating Rich Data
Assets Over 600 faculty working in
data analytics domains
Vibrant local and virtual
communities of data
analytics researchers,
educators and practitioners
Among the top 15
universities for funding and
publishing in the data
analytics and decisions
science
Data analytics education
programming across 15
colleges, including first-of-
its-kind interdisciplinary
bachelor of science
$52.8 million state-of-the-
art translational data
analytics facility, currently in
design
30. TDA@OhioState: Initial Focus Areas
Precision AgricultureFoundations
Systems Health & Wellness Digital Humanities
31. Phase 2: Thematic Cluster
Formation and
Augmentation
Phase 1: “Bridging” Hires and
Existing Talent Activation
Phase 3: Internal
Talent Development
and Alignment
TDA@OhioState: Growing Our Faculty
$150M investment over 5 years
60-70 new tenure track faculty
32. TDA@OhioState: Solutions “Factory”
Design
Evaluate environment and
requirements
Define use cases and
evaluation plans
Identify funding and/or
supporting resources
Establish project management
framework(s)
Build
Design and implement
prototype solutions
Define evaluation plans and
process/outcome measures
Align technical resources and
infrastructure
Scale
Implement and report on
solution in use case defined
contexts, using evaluation plans
Deliver solution(s) to
stakeholders (internal and
external)
• Fisher College of
Business Professional
Services
• Industry Liaison Office
• Proposal
Development Center
• Ohio Super Computer
Center
• Statistical Consulting
Service (analytical
methods)
• TDA@OSU Shared
Resources/Cores
• TDA@OSU Software
Development Team
• Statistical Consulting
Service (evaluation)
• Office of Technology
Commercialization
and Knowledge
Transfer
Cross-Cutting TDA@OSU Project Management Team
LifecyclePhaseand
Objectives
Leveraged
Resources
33. Partner Engagement
Identification of
“Real World” Needs
Engagement of
Faculty, Trainees,
and Staff
Generation of
Response Research
Solutions/Products
New Resources
Value Proposition Problem Definition
Team Mobilization
Translation
A Focus on Creating Responsive Research Products While
Advancing Foundational Science
“De-risking”
technologies
Generation of
market-based
“traction”
Rapid-cycle
technology
transfer
Incubation of
startups or
direct
licensing to
existing
companies
Optimization
of institutional
“up side”
35. Two Final Thoughts (1): Behaving Like A High
Performance System Requires Difficult Change
Three characteristics of a
high performance system:
1) Leverage data to identify
problems and opportunities
2) Design reproducible
solutions
3) Implement those solutions
Mastering the art of
designing and implementing
solutions is the greatest
challenge facing the field of
BMI and Data Analytics!
36. Two Final Thoughts (2): Is It Time For
Interventional Informatics?
Technology as a diagnostic or therapeutic agent in pursuit of the triple aim…
37. Acknowledgements
Collaborators:
Peter J. Embi, MD, MS
Albert M. Lai, PhD
Randi Foraker, PhD
Kun Huang, PhD
John C. Byrd, MD
William E. Carson, MD
Omkar Lele, MS, MBA
Marjorie Kelley, MS
Tasneem Motiwala, PhD
Zach Abrams
Kelly Regan
Andrew Greaves
Tara Borlawsky-Payne, MA
Marcelo Lopetegui, MD, MS
Funding:
NCI: R01CA134232, R01CA107106,
P01CA081534, P50CA140158,
P30CA016058
NCATS: U54RR024384
NLM: R01LM009533, T15LM011270
AHRQ: R01HS019908
Hairy Cell Leukemia Research
Foundation
Academy Health – EDM Forum
Laboratory for Knowledge
Based Applications and
Systems Engineering (KBASE):
38. “Information liberation + new incentives = rocket fuel for
innovation”
– Aneesh Chopra (The Advisory Board Company)
Philip R.O. Payne, PhD, FACMI
philip.payne@osumc.edu
@prpayne5
www.slideshare.net/prpayne5
"Without feedback from precise measurement,
invention is doomed to be rare and erratic. With it,
invention becomes commonplace”
– Bill Gates (2013 Gates Foundation Annual Letter)
“No Outcome, No Income”
– Eric Topol