Prof. Dr. Ergun KARAAĞAOĞLU
Hacettepe Üniversitesi
Tıp Fakültesi
Biyoistatistik ve Tıp Bilişimi Anabilim Dalı
Bilişim, bilgi ile, bilginin yapısı, iletişimi ve
kullanımı ile ilgilenir. Günümüzde
toplumlar giderek daha bilgi yoğun o...
Bilgi Teknolojilerinin genel kullanımı
arttıkça, sağlık sektöründe de hasta
yönetimi ve bakımının iyileştirilmesi için
tı...
Sağlık – Tıp Bilişimi Profesyonelleri
Klinik Bilişim (Clinical Informatics)
Bilgi ve İletişim Teknolojileri
(Information ...
Medical informatics is the intersection of information science,
computer science, and health care.
It deals with the resou...
 Aspects of the field:
 architectures for electronic medical records and other
health information systems used for billi...
 Applications of biostatistics
 Public health, including epidemiology, health services
research, nutrition, and environm...
 The University of Wisconsin School of Medicine and
Public Health houses the Department of Biostatistics
and Medical Info...
The Department of Biostatistics & Medical Informatics is
organized into three research and training programs:
Biostatistic...
 Biostatistics Program Training
 M.S. and Ph.D. programs
 The Department of Statistics, in collaboration with the
Medic...
 Summer Programs for Undergraduates
 The Department of Biostatistics and Medical
Informatics conducts two complementary
...
UNIVERSITY OF MEDICINE
AND PHARMACY OF CRAIOVA
Objective
MASTER DEGREE IN MEDICAL
INFORMATICS &
BIOSTATISTICS (MDMI&B)
In ...
 Biyoistatistik Anabilim Dalı
 Biyoistatistik ve Tıp Bilişimi – Tıbbi Bilişim Anabilim Dalı
 Tıp Eğitimi ve Bilişimi An...
Fırsatlar:
Birlikte Çalışabilirlik
Biyoistatistik
Tıp
Mühendislik
Genetik-Biyoloji
Görüntüleme teknikleri
Elektronik...
VERİ BİLGİ
Araçlar
Veri madenciliği teknikleri, machine learning
(İstatistiksel öğrenme), karar destek
sistemleri, yeni ya...
BİYOİSTATİSTİK – TIP BİLİŞİMİ
BİYOİSTATİSTİK – TIP BİLİŞİMİ
Upcoming SlideShare
Loading in …5
×

BİYOİSTATİSTİK – TIP BİLİŞİMİ

492
-1

Published on

0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
492
On Slideshare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
4
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

BİYOİSTATİSTİK – TIP BİLİŞİMİ

  1. 1. Prof. Dr. Ergun KARAAĞAOĞLU Hacettepe Üniversitesi Tıp Fakültesi Biyoistatistik ve Tıp Bilişimi Anabilim Dalı
  2. 2. Bilişim, bilgi ile, bilginin yapısı, iletişimi ve kullanımı ile ilgilenir. Günümüzde toplumlar giderek daha bilgi yoğun olmaya başladıklarından, bilgiyi toplamak, yönetmek ve modellemek için yeni yöntemleri öğrenme, geliştirme ve uygulamaya olan gereksinimleri giderek artmaktadır. Bu, özellikle tıp alanında daha da belirgindir.
  3. 3. Bilgi Teknolojilerinin genel kullanımı arttıkça, sağlık sektöründe de hasta yönetimi ve bakımının iyileştirilmesi için tıbbi bilginin toplanması, organizasyonu, analizi ve yayılmasına yönelik çalışmalar giderek önem kazanmıştır. Sağlık – Tıp bilişimi de bilgi teknolojilerini kullanarak son yıllarda hızlı gelişme yakalamıştır.
  4. 4. Sağlık – Tıp Bilişimi Profesyonelleri Klinik Bilişim (Clinical Informatics) Bilgi ve İletişim Teknolojileri (Information & Communication Technology) Bilgi Yönetimi : Veri toplama, analiz, yorumlama ve sunum
  5. 5. Medical informatics is the intersection of information science, computer science, and health care. It deals with the resources, devices, and methods required to optimize the acquisition, storage, retrieval, and use of information in health and biomedicine. Health informatics tools include not only computers but also clinical guidelines, formal medical terminologies, and information and communication systems. It is applied to the areas of nursing, clinical care, dentistry, pharmacy, public health and (bio)medical research.
  6. 6.  Aspects of the field:  architectures for electronic medical records and other health information systems used for billing, scheduling, and research  decision support systems in healthcare, including clinical decision support systems  standards (e.g. DICOM, HL7) and integration profiles (e.g. Integrating the Healthcare Enterprise) to facilitate the exchange of information between healthcare information systems - these specifically define the means to exchange data, not the content
  7. 7.  Applications of biostatistics  Public health, including epidemiology, health services research, nutrition, and environmental health  Design and analysis of clinical trials in medicine  Genomics, population genetics, and statistical genetics in order to link variation in genotype with a variation in phenotype. This has been used in agriculture to improve crops and farm animals (animal breeding). In biomedical research, this work can assist in finding candidates for gene alleles that can cause or influence predisposition to disease in human genetics  Ecology, ecological forecasting  Biological sequence analysis  Biostatistical methods are beginning to be integrated into medical informatics, public health informatics, and bioinformatics
  8. 8.  The University of Wisconsin School of Medicine and Public Health houses the Department of Biostatistics and Medical Informatics. Serving as a resource for clinical and basic science investigators. A major goal of the Department faculty and staff is to collaborate in the design, conduct, and analyses of laboratory, clinical, and epidemiologic studies and clinical trials in a variety of biomedical disciplines and departments. In addition, faculty conduct research in statistical methodology and computational methods and participate in several graduate and postdoctoral training programs.
  9. 9. The Department of Biostatistics & Medical Informatics is organized into three research and training programs: Biostatistics, Clinical Trials, and Medical Informatics. In addition, the Biomedical Computing Group (BCG) provides computer support for the Department, the UW Comprehensive Cancer Center and other research groups. Many of our faculty members have joint appointments with other schools and/or departments including Statistics, Computer Sciences, Preventive Medicine, Nursing, Business, Educational Sciences, and Animal Sciences.
  10. 10.  Biostatistics Program Training  M.S. and Ph.D. programs  The Department of Statistics, in collaboration with the Medical School's Department of Biostatistics and Medical Informatics, offers both an M.S. and a Ph.D. with Emphasis in Biostatistics. The Department of Biostatistics and Medical Informatics has faculty with joint appointments in Statistics as well as over 20 other faculty and staff who are involved in the design and analysis of clinical trials, genetics, and other clinical, epidemiological and laboratory experiments.
  11. 11.  Summer Programs for Undergraduates  The Department of Biostatistics and Medical Informatics conducts two complementary summer programs for undergraduates with an interest in the quantitative sciences. These programs aim to introduce students to the opportunities in biostatistics and bioinformatics through instruction and hands-on work with real data. The Department of Biostatistics and Medical Informatics also administers two certificate programs in bioinformatics.
  12. 12. UNIVERSITY OF MEDICINE AND PHARMACY OF CRAIOVA Objective MASTER DEGREE IN MEDICAL INFORMATICS & BIOSTATISTICS (MDMI&B) In more and more countries, also in Romania, Medical Informatics & Biostatistics is an officially recognized profession, thus offering access to a very interesting and promising emerging segment of the labor market.
  13. 13.  Biyoistatistik Anabilim Dalı  Biyoistatistik ve Tıp Bilişimi – Tıbbi Bilişim Anabilim Dalı  Tıp Eğitimi ve Bilişimi Anabilim Dalları  Tıp Eğitimi ve Bilişimi Anabilim Dallarının kapatılması  Biyoistatistik ve Tıp Bilişimi Anabilim Dalı YL VE DOKTORA PROGRAMLARI BİYOİSTATİSTİK TIP BİLİŞİMİ BİYOİNFORMATİK
  14. 14. Fırsatlar: Birlikte Çalışabilirlik Biyoistatistik Tıp Mühendislik Genetik-Biyoloji Görüntüleme teknikleri Elektronik sağlık kayıtları, Nüfus kayıtları Nüfusun yapısının ve buna bağlı olarak hastalıklardaki değişim
  15. 15. VERİ BİLGİ Araçlar Veri madenciliği teknikleri, machine learning (İstatistiksel öğrenme), karar destek sistemleri, yeni yazılımlar.
  1. A particular slide catching your eye?

    Clipping is a handy way to collect important slides you want to go back to later.

×