This document provides an overview of health informatics as a field. It defines key terms like medical informatics, biomedical informatics, and health informatics. It discusses the focus of informatics on information and tasks rather than just technology. The document outlines the various areas that fall under the domain of health informatics, including healthcare delivery, public health, education, and research. It also discusses the roles of professionals in the field and different levels of training.
Presented at the Master of Science Program in Medical Epidemiology and the Doctor of Philosophy Program in Clinical Epidemiology, Department of Clinical Epidemiology and Biostatistics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on November 25, 2021
Presented at the 8th Healthcare CIO Certificate Program, Ramathibodi Hospital Administration School, Faculty of Medicine Ramathibodi Hospital, Mahidol University on March 12, 2018
Introduction to Health Informatics and Health IT (Part 1) (February 10, 2021)Nawanan Theera-Ampornpunt
Presented at the 11th Healthcare CIO Certificate Program, School of Hospital Management, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on February 10, 2021
Presented at the Master of Science Program in Medical Epidemiology and the Doctor of Philosophy Program in Clinical Epidemiology, Department of Clinical Epidemiology and Biostatistics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on November 25, 2021
Presented at the 8th Healthcare CIO Certificate Program, Ramathibodi Hospital Administration School, Faculty of Medicine Ramathibodi Hospital, Mahidol University on March 12, 2018
Introduction to Health Informatics and Health IT (Part 1) (February 10, 2021)Nawanan Theera-Ampornpunt
Presented at the 11th Healthcare CIO Certificate Program, School of Hospital Management, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on February 10, 2021
Theera-Ampornpunt N. The intersection of ICT and health informatics research. Presented at: Faculty of ICT, Mahidol University; 2012 Feb 24; Bangkok, Thailand.
Presented at the 8th Healthcare CIO Certificate Program, Ramathibodi Hospital Administration School, Faculty of Medicine Ramathibodi Hospital, Mahidol University on March 12, 2018
The purpose of this book is to provide an overview of medical image processing and related health care services in variant diseases like Alzheimer’s disease, glaucoma, mild cognitive impairment, dementia, and other neurodegenerative syndromes. It is anticipated that it will be useful for research scientists to capture recent developments and to spark innovative ideas within the medical image processing domain. With an emphasis on both the basic and advanced applications of medical imaging, this book covers several unique concepts like optimized image fusion, ophthalmic hashing, and linear bootstrap aggregating that have been graphically represented to improve readability, such as the optimized image fusion introduced in chapter 1, linear bootstrap aggregating discussed in Chapter 2 and ophthalmic hashing that is proposed in Chapter 4. The remainder of the book emphases on the area application-orientated image fusions, which cover the numerous expanses of medical image processing and its applications.
Governance issues of health screening and the practice of periodic physical examination in Thailand. Presented in Joint Conference of Medical Sciences Chula-Rama-Siriraj (JCMS2015) 2015.6.4
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.
Presentation at Social & Healthcare ICT Conference organized by The Association of Finnish Local and Regional Authorities, about Artificial Intelligence in pharmacology, clinical diagnosis, intensive care, hospital ward, assisted living and home care.
Evolution of the CMIO Role – in What Direction is this Role Heading? - Michae...marcus evans Network
Michael Bakerman, UMass Memorial Healthcare, Inc. - Speaker at the marcus evans National Healthcare CMO/CMIO Summit 2013 held at the Ritz-Carlton, Buckhead, Atlanta, GA, March 14-15 2013, delivered his presentation entitled Evolution of the CMIO Role – in What Direction is this Role Heading?
Theera-Ampornpunt N. The intersection of ICT and health informatics research. Presented at: Faculty of ICT, Mahidol University; 2012 Feb 24; Bangkok, Thailand.
Presented at the 8th Healthcare CIO Certificate Program, Ramathibodi Hospital Administration School, Faculty of Medicine Ramathibodi Hospital, Mahidol University on March 12, 2018
The purpose of this book is to provide an overview of medical image processing and related health care services in variant diseases like Alzheimer’s disease, glaucoma, mild cognitive impairment, dementia, and other neurodegenerative syndromes. It is anticipated that it will be useful for research scientists to capture recent developments and to spark innovative ideas within the medical image processing domain. With an emphasis on both the basic and advanced applications of medical imaging, this book covers several unique concepts like optimized image fusion, ophthalmic hashing, and linear bootstrap aggregating that have been graphically represented to improve readability, such as the optimized image fusion introduced in chapter 1, linear bootstrap aggregating discussed in Chapter 2 and ophthalmic hashing that is proposed in Chapter 4. The remainder of the book emphases on the area application-orientated image fusions, which cover the numerous expanses of medical image processing and its applications.
Governance issues of health screening and the practice of periodic physical examination in Thailand. Presented in Joint Conference of Medical Sciences Chula-Rama-Siriraj (JCMS2015) 2015.6.4
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.
Presentation at Social & Healthcare ICT Conference organized by The Association of Finnish Local and Regional Authorities, about Artificial Intelligence in pharmacology, clinical diagnosis, intensive care, hospital ward, assisted living and home care.
Evolution of the CMIO Role – in What Direction is this Role Heading? - Michae...marcus evans Network
Michael Bakerman, UMass Memorial Healthcare, Inc. - Speaker at the marcus evans National Healthcare CMO/CMIO Summit 2013 held at the Ritz-Carlton, Buckhead, Atlanta, GA, March 14-15 2013, delivered his presentation entitled Evolution of the CMIO Role – in What Direction is this Role Heading?
Invited presentation to the University of Kentucky's Markey Cancer Center. I used the opportunity to update cancer prevention and control specialists on implications of the President's Cancer Panel report on Connected Health.
Introduction to Health Informatics and Health IT in Clinical Settings (Part 1...Nawanan Theera-Ampornpunt
Presented at the 10th Healthcare CIO Certificate Program, Ramathibodi School of Hospital Management, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on February 17, 2020
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
Presented at the 7th Healthcare CIO Program, Hospital Administration School, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Thailand on July 8, 2016
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
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
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 4, 2021
Data Science for Healthcare Graduate Programs, Section for Clinical Epidemiology and Biostatistics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on October 2, 2019
Defining Biomedical Informatics and its Relationship to Dental Research and P...sathish sak
The scientific field that deals with the storage, retrieval, sharing, and optimal use of biomedical information, data, and knowledge for problem solving and decision making.
Medical informatics touches on all basic and applied fields in biomedical science and is closely tied to modern information technologies, notably in the areas of computing and communication
Presented at the BDMS Golden Jubilee Scientific Conference 2022 "BDMS Beyond 50 years: Looking towards the centennial," Bangkok Dusit Medical Services Public Company Limited (BDMS), Bangkok, Thailand on October 19, 2022
Presented at The Thai Medical Informatics Association Annual Conference and The National Conference on Medical Informatics (TMI-NCMedInfo) 2021, Bangkok, Thailand on November 26, 2021
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 15, 2021
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
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
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 8, 2021
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
Muktapishti is a traditional Ayurvedic preparation made from Shoditha Mukta (Purified Pearl), is believed to help regulate thyroid function and reduce symptoms of hyperthyroidism due to its cooling and balancing properties. Clinical evidence on its efficacy remains limited, necessitating further research to validate its therapeutic benefits.
Adv. biopharm. APPLICATION OF PHARMACOKINETICS : TARGETED DRUG DELIVERY SYSTEMSAkankshaAshtankar
MIP 201T & MPH 202T
ADVANCED BIOPHARMACEUTICS & PHARMACOKINETICS : UNIT 5
APPLICATION OF PHARMACOKINETICS : TARGETED DRUG DELIVERY SYSTEMS By - AKANKSHA ASHTANKAR
Here is the updated list of Top Best Ayurvedic medicine for Gas and Indigestion and those are Gas-O-Go Syp for Dyspepsia | Lavizyme Syrup for Acidity | Yumzyme Hepatoprotective Capsules etc
Basavarajeeyam is a Sreshta Sangraha grantha (Compiled book ), written by Neelkanta kotturu Basavaraja Virachita. It contains 25 Prakaranas, First 24 Chapters related to Rogas& 25th to Rasadravyas.
Local Advanced Lung Cancer: Artificial Intelligence, Synergetics, Complex Sys...Oleg Kshivets
Overall life span (LS) was 1671.7±1721.6 days and cumulative 5YS reached 62.4%, 10 years – 50.4%, 20 years – 44.6%. 94 LCP lived more than 5 years without cancer (LS=2958.6±1723.6 days), 22 – more than 10 years (LS=5571±1841.8 days). 67 LCP died because of LC (LS=471.9±344 days). AT significantly improved 5YS (68% vs. 53.7%) (P=0.028 by log-rank test). Cox modeling displayed that 5YS of LCP significantly depended on: N0-N12, T3-4, blood cell circuit, cell ratio factors (ratio between cancer cells-CC and blood cells subpopulations), LC cell dynamics, recalcification time, heparin tolerance, prothrombin index, protein, AT, procedure type (P=0.000-0.031). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and N0-12 (rank=1), thrombocytes/CC (rank=2), segmented neutrophils/CC (3), eosinophils/CC (4), erythrocytes/CC (5), healthy cells/CC (6), lymphocytes/CC (7), stick neutrophils/CC (8), leucocytes/CC (9), monocytes/CC (10). Correct prediction of 5YS was 100% by neural networks computing (error=0.000; area under ROC curve=1.0).
Rasamanikya is a excellent preparation in the field of Rasashastra, it is used in various Kushtha Roga, Shwasa, Vicharchika, Bhagandara, Vatarakta, and Phiranga Roga. In this article Preparation& Comparative analytical profile for both Formulationon i.e Rasamanikya prepared by Kushmanda swarasa & Churnodhaka Shodita Haratala. The study aims to provide insights into the comparative efficacy and analytical aspects of these formulations for enhanced therapeutic outcomes.
Title: Sense of Taste
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 structure and function of taste buds.
Describe the relationship between the taste threshold and taste index of common substances.
Explain the chemical basis and signal transduction of taste perception for each type of primary taste sensation.
Recognize different abnormalities of taste perception and their causes.
Key Topics:
Significance of Taste Sensation:
Differentiation between pleasant and harmful food
Influence on behavior
Selection of food based on metabolic needs
Receptors of Taste:
Taste buds on the tongue
Influence of sense of smell, texture of food, and pain stimulation (e.g., by pepper)
Primary and Secondary Taste Sensations:
Primary taste sensations: Sweet, Sour, Salty, Bitter, Umami
Chemical basis and signal transduction mechanisms for each taste
Taste Threshold and Index:
Taste threshold values for Sweet (sucrose), Salty (NaCl), Sour (HCl), and Bitter (Quinine)
Taste index relationship: Inversely proportional to taste threshold
Taste Blindness:
Inability to taste certain substances, particularly thiourea compounds
Example: Phenylthiocarbamide
Structure and Function of Taste Buds:
Composition: Epithelial cells, Sustentacular/Supporting cells, Taste cells, Basal cells
Features: Taste pores, Taste hairs/microvilli, and Taste nerve fibers
Location of Taste Buds:
Found in papillae of the tongue (Fungiform, Circumvallate, Foliate)
Also present on the palate, tonsillar pillars, epiglottis, and proximal esophagus
Mechanism of Taste Stimulation:
Interaction of taste substances with receptors on microvilli
Signal transduction pathways for Umami, Sweet, Bitter, Sour, and Salty tastes
Taste Sensitivity and Adaptation:
Decrease in sensitivity with age
Rapid adaptation of taste sensation
Role of Saliva in Taste:
Dissolution of tastants to reach receptors
Washing away the stimulus
Taste Preferences and Aversions:
Mechanisms behind taste preference and aversion
Influence of receptors and neural pathways
Impact of Sensory Nerve Damage:
Degeneration of taste buds if the sensory nerve fiber is cut
Abnormalities of Taste Detection:
Conditions: Ageusia, Hypogeusia, Dysgeusia (parageusia)
Causes: Nerve damage, neurological disorders, infections, poor oral hygiene, adverse drug effects, deficiencies, aging, tobacco use, altered neurotransmitter levels
Neurotransmitters and Taste Threshold:
Effects of serotonin (5-HT) and norepinephrine (NE) on taste sensitivity
Supertasters:
25% of the population with heightened sensitivity to taste, especially bitterness
Increased number of fungiform papillae
These simplified slides by Dr. Sidra Arshad present an overview of the non-respiratory functions of the respiratory tract.
Learning objectives:
1. Enlist the non-respiratory functions of the respiratory tract
2. Briefly explain how these functions are carried out
3. Discuss the significance of dead space
4. Differentiate between minute ventilation and alveolar ventilation
5. Describe the cough and sneeze reflexes
Study Resources:
1. Chapter 39, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 34, Ganong’s Review of Medical Physiology, 26th edition
3. Chapter 17, Human Physiology by Lauralee Sherwood, 9th edition
4. Non-respiratory functions of the lungs https://academic.oup.com/bjaed/article/13/3/98/278874
Identification and nursing management of congenital malformations .pptx
Health Informatics: An Overview of the Field
1. Health Informatics
An Overview of the Field
Nawanan Theera-Ampornpunt, MD, PhD
Presentation for the Healthcare CIO Program
Ramathibodi Hospital Administration School
Aug. 10, 2012
Except where citing
other works
2. A Few Words About Me...
2003 Doctor of Medicine (1st-Class Honors) Ramathibodi
2009 M.S. (Health Informatics) University of Minnesota
2011 Ph.D. (Health Informatics) University of Minnesota
Currently
• Medical Systems Analyst
Health Informatics Division, Ramathibodi
Contacts
@Nawanan @ThaiHealthIT
nawanan.the@mahidol.ac.th
SlideShare.net/Nawanan
www.tc.umn.edu/~theer002
groups.google.com/group/ThaiHealthIT
2
3. Section Outline
• Introduction to Health Informatics
• Health IT Overview
• Health IT in Hospital Settings
• IT Management in Health Care Organizations
3
4. What Is “Informatics”
• French: informatique = the science and
technology of information processing using
computers (Greenes & Shortliffe, 1990)
• “[T]he discipline focused on the acquisition,
storage, and use of information in a specific
setting or domain” (Hersh, 2009)
• “[T]he science of information”
(Bernstam et al, 2010)
4
5. Medical Informatics
• “Ancient” term
• Being retired
• Future use discouraged by experts
• Only retained in titles of professional
organizations
Main Problems
• Medical = Doctor? (e.g. not nursing?)
• Medical informatics vs. Clinical informatics
5
6. Better Terms
• Biomedical informatics
• Health informatics
• Biomedical and Health informatics
A Few Subtleties
• Health informatics suggests the goal is “health”
• Health informatics vs Public health informatics
• Health informatics includes Bioinformatics?
• No clear winner between
Biomedical informatics vs. Health informatics
6
7. But What Is M/B/H Informatics Anyway?
• Medical computing/computers in medicine?
• ‘[R]eferring to biomedical informatics as
“computers in medicine” is like defining
cardiology as “stethoscopes in medicine”.’
(Bernstam et al, 2010)
• “[T]he field concerned with the cognitive,
information processing, and communication
tasks of medical practice, education, and
research, including the information science and
technology to support these tasks”
(Greenes & Shortliffe, 1990)
7
8. More Definitions of M/B/H Informatics
• “[T]he field that is concerned with the optimal
use of information, often aided by the use of
technology, to improve individual health,
health care, public health, and biomedical
research” (Hersh, 2009)
• “[T]he application of the science of
information as data plus meaning to
problems of biomedical interest” (Bernstam et al, 2010)
8
9. Summary About M/B/H Informatics
• Focuses more on information, not technology
• Task-oriented view:
Collection Processing Utilization
Communication/
Storage Dissemination/
Presentation
9
10. Summary About M/B/H Informatics
• Areas under the domain of M/B/H informatics
– Health service delivery (health care)
• Medical, dental, nursing, pharmacy, etc.
• IT management in health care organizations
– Public health
• Policy & administration, epidemiology, environmental
health, health services research, etc.
– Individual patient/consumer’s health
– Education of health professionals
– Biomedical research (clinical trials, public health
research, research in biomedical sciences)
10
13. Example
I should buy a BMW
Wisdom (and a BIG house)!
Judgment
Knowledge I am rich!!!!!
Processing/
Synthesis/
Organization
I have 100,000,000 baht
Information in my bank account
Contextualization/
Data Interpretation
100,000,000
13
16. Class Exercise #1: Problem A
• Patient A has a blood pressure
reading of 170/100 mmHg
• Data: 170/100
• Information: BP of Patient A = 170/100 mmHg
• Knowledge: Patient A has high blood pressure
• Wisdom:
– Patient A needs to be investigated for cause of HT
– Patient A needs to be treated with anti-hypertensives
– Patient A needs to be referred to a cardiologist
16
18. Class Exercise #1: Problem B
• Patient B is allergic to penicillin. He was recently
prescribed amoxicillin for his sore throat.
• Data: Penicillin, amoxicillin, sore throat
• Information:
– Patient B has penicillin allergy
– Patient B was prescribed amoxicillin for his sore throat
• Knowledge:
– Patient B may have allergic reaction to his prescription
• Wisdom:
– Patient B should not take amoxicillin!!!
18
20. Class Exercise #1: Problem C
• Patient C’s plain film X-ray
• Data:
• Information:
– Patient C’s plain film X-ray is as seen in the image
– There is a break in the continuity of the periosteum of
Patient C’s left radius and ulna
• Knowledge:
– Patient C has fractures of left radius and ulna
• Wisdom:
– Patient C’s fractures need to be properly treated
Image Source: http://en.wikipedia.org/wiki/Bone_fracture 20
21. Back to Earlier Definitions of Informatics
M/B/H Informatics is...
• “[T]he field that is concerned with the optimal
use of information, often aided by the use of
technology, to improve individual health,
health care, public health, and biomedical
research” (Hersh, 2009)
• “[T]he application of the science of
information as data plus meaning to
problems of biomedical interest” (Bernstam et al, 2010)
Informatics focuses on “I”, not “T”
21
24. M/B/H Informatics and Other Fields
Social
Sciences
(Psychology, Statistics &
Sociology, Research
Linguistics, Methods
Cognitive Law & Medical
& Decision Ethics) Sciences &
Science Public Health
Engineering Management
Library
Computer & Biomedical/ Science,
Information Health Information
Science Informatics Retrieval,
KM
And More!
24
25. Areas of Popular Interests (Selected)
• Health IT applications & implementation
– Electronic Health Records (EHRs)
– Computerized Physician Order Entry (CPOE)
– Clinical Decision Support Systems (CDSSs)
– Picture Archiving and Communication Systems (PACS)
– Other hospital IT (nursing, pharmacy, lab, etc.)
– Personal Health Records (PHRs)
– Telemedicine & Telehealth
• eHealth, mHealth, Health Information Exchange (HIE)
• Health IT adoption and use, public policy
• People & organizational (POI), ethical-legal-social (ELSI)
• Consumer health
• Knowledge representation & discovery, NLP
• Standards & Interoperability
• Workforce building & education 25
26. Roles of People in M/B/H Informatics
• IT Executives
– Chief Information Officer (CIO)
– Chief Medical Information Officer (CMIO)
– Chief Nursing Information Officer (CNIO)
– Chief Technology Officer (CTO)
• System analysts, designers, developers, implementers,
engineers, project managers, trainers
• Clinicians with informatics background (super-users,
change agents, business analysts)
• Specialists in specific areas
– HIE specialists, security & privacy specialists
– Health information management specialists, medical
records personnel
• Policy makers & policy analysts
• Academicians (educators, researchers, innovators) 26
27. Levels of M/B/H Informatics Training
• Informatics contents in professional education
– Initial training (core/electives)
– Residency & fellowship training
– Continuing education
• Certificate programs/Short courses
• Bachelor’s degree in informatics or related fields
– Degree in M/B/H informatics: usually in Europe
– Degree in computer science/ICT with M/B/H informatics focus
• Master’s and doctoral degrees in informatics
– U.S., Europe, Australia, New Zealand
– Thailand (Master’s)
• Ramkhamhaeng University
• Faculty of Public Health, Mahidol University
• (Future) Ramathibodi-Tropical Medicine, Mahidol University
• Clinical informatics fellowships (U.S.)
• Postdoctoral fellowships (e.g. NLM) 27
28. Informatics Workforce in Thailand
• In other countries, 1 IT staff is employed per
about 50-70 non-IT staffs (Hersh, 2008)
• No available data about Thailand but...
– Only a handful of “informaticians” available
(both formally trained and otherwise)
– Many clinicians (and executives) who got interested in
IT (but many focus on the “technology” not
“information” and so would usually jump up and
down on the new technologies but would not be a
good IT manager or executive)
– Most computer science/ICT graduates lack exposure
to or understanding about healthcare
28
29. Professional Societies in M/B/H Informatics
• International Medical Informatics Association (IMIA)
– MEDINFO
• American Medical Informatics Association (AMIA)
– AMIA Annual Symposium
• Healthcare Information and Management Systems Society
(HIMSS)
– HIMSS Annual Conference & Exhibition
– HIMSS Asia Pac
• American Health Information Management Association
(AHIMA)
• Thai Medical Informatics Association (TMI)
– TMI Annual Conference
29
30. “Bible” of Biomedical/Health Informatics
Shortliffe EH, Cimino JJ, editors. Biomedical Informatics: Computer Applications in
Health Care and Biomedicine. 3rd ed. New York: Springer; 2006. 1037 p.
http://www.amazon.com/Biomedical-Informatics-Computer-Applications-
Biomedicine/dp/0387289860/
30
31. Useful Online Resources
• Societies amia.org imia.org himss.org tmi.or.th
• U.S. Office of the National Coordinator for Health IT
(ONC) www.hhs.gov/healthit
• Handbook of Biomedical Informatics
en.wikipedia.org/wiki/Book:Handbook_of_Biomedical_Informatics
• Blogs
– Life as a healthcare CIO geekdoctor.blogspot.com
– Informatics Professor informaticsprofessor.blogspot.com
– TMI www.tmi.or.th/index.php?Itemid=46
– Thai Informatician gotoknow.org/blog/thethaiinformatician
• Twitter: twitter.com/nawanan/health-informatics 31
32. Journals in the Field (Selected)
• Healthcare Informatics www.healthcare-informatics.com
• Journal of the American Medical Informatics Association
(JAMIA) www.jamia.org
• International Journal of Medical Informatics (IJMI)
• Journal of Biomedical Informatics (JBI)
• Methods of Information in Medicine
• BMC Medical Informatics and Decision Making
• Journal of Medical Internet Research (JMIR)
• Yearbook of Medical Informatics
• Occasionally, Health Affairs, New Engl J Med, & JAMA 32
34. References
• Bernstam EV, Smith JW, Johnson TR. What is biomedical
informatics? J Biomed Inform. 2010 Feb;43(1):104-10.
• Greenes RA, Shortliffe EH. Medical informatics. An emerging
academic discipline and institutional priority. JAMA. 1990 Feb
23;263(8):1114-1120.
• Hersh W. A stimulus to define informatics and health information
technology. BMC Med Inform Decis Mak. 2009;9:24.
• Hersh W. Health and biomedical informatics: opportunities and
challenges for a twenty-first century profession and its education.
Yearb Med Inform. 2008:157-164.
34