Integrating "e-Health" Concepts for IS/IT Courses: Real-Life Applications
Incorporating "e-Health" concepts into IS/IT courses can connect students to practical experiences. Discover key topics such as electronic medical records, big data analytics, and artificial intelligence in healthcare. Understand the significance of IT in improving quality, efficiency, and equity in healthcare systems.
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2016 Cengage Learning Computing Conference Integrating "e-Health" Concepts and Applications into your First IS/IT Course: Connecting your Course to Real Life Practice Hossein Bidgoli, Ph. D. Professor of MIS, California State University
Hossein Bidgoli, Ph.D. Professor of MIS at California State University Cengage Learning Author Helped set up the first PC lab in the U.S. and served as its first director Author of 46 textbooks, 27 lab manuals, and dozens of technical articles Editor-in-Chief of five major encyclopedia and handbook series Numerous national awards and accolades for many of these Encyclopedias and Handbooks 2001-2002 Professor of the Year 2015-2016 Researcher of the Year 2 2016 Cengage Learning Computing Conference
In My Experience Two IT Topics Get Students' Attention Topics related to Jobs Topics related to Health Issues IS/IT students should be given a basic knowledge and familiarity with these fields and applications that are also creating high paying jobs This basic training should encourage some of these students to pursue a career in these new and fast growing fields 3 2016 Cengage Learning Computing Conference
Healthcare in the United States According to a study conducted in 2014, United State Healthcare ranked last compared to 10 other industrialized nations United Kingdom Switzerland Sweden Australia Germany & Netherlands (tied) New Zealand & Norway (tied) France Canada United States 4 2016 Cengage Learning Computing Conference
Factors Chosen in the Study Quality Efficiency Equity Healthy lives Another study, conducted the same year indicated that the US spends the most on healthcare compared to these nations We believe IT can Play a Major Role in all of these 5 2016 Cengage Learning Computing Conference
Key Topics The Internet Electronic Medical Record Systems The Big Data and Analytics Wearable Computing Mobile Computing and Mobile Apps Collaboration Systems Virtual Reality Robotics Artificial Intelligence- IBM Watson Artificial Intelligence- NLP 6 2016 Cengage Learning Computing Conference
The Internet: Its Applications in Telemedicine and Self-diagnosing Yahoo! Health (http://health.yahoo.net) National Institutes of Health (NIH) (www.nih.gov) WebMD (www.webmd.com) MedicineNet (www.medicinenet.com/script/main/hp.asp) 7 2016 Cengage Learning Computing Conference
Electronic Medical Record Systems Improved Patient Care Increased Patient Participation Improved Care Coordination Improved Diagnostics & Patient Outcomes Practice Efficiencies and Cost Savings What Medication are you Taking Dilemma! Going Green and Sustainability Issues Kaiser Permanente Case 8 2016 Cengage Learning Computing Conference
The Big Data and Analytics EMRs are the Foundation Proactive vs. Reactive Healthcare Prevention Better Diagnostic Express Scripts processes nearly 1.5 billion prescriptions per year Uses Big Data to make sure that patients are filling their prescriptions through mail order This is a lot less expensive than through pharmacies 9 2016 Cengage Learning Computing Conference
The Big Data and Analytics (continued) It is used to predict epidemics, cure disease, improve quality of life and avoid preventable deaths Picking up warning signs of serious illness at an early enough stage that treatment is far more simple (and less expensive) than if it had not been spotted until later Prevention is cheaper than cure 10 2016 Cengage Learning Computing Conference
The Big Data and Analytics (continued) The Pittsburgh Health Data Alliance which aims to take data from various sources (such as medical and insurance records, wearable sensors, genetic data and even social media use) to draw a comprehensive picture of the patient as an individual, in order to offer a tailored healthcare package Apple and IBM are collaborating on a big data health platform that will allow iPhone and Apple Watch users to share data to IBM s Watson Health cloud healthcare analytics service. The aim is to discover new medical insights from crunching real-time activity and biometric data from millions of potential users 11 2016 Cengage Learning Computing Conference
The Big Data and Analytics (continued) Big Data is also helping in the fight against the spread of epidemics. In Africa, mobile phone location data is proving highly valuable in efforts to track population movements, which helps to predict the spread of the Ebola virus. This gives insight into the best areas to provide treatment centers and allows movement restrictions to be put in place when necessary. And of course, a Big Data solution has even been proposed for a cure for cancer. Flatiron Health has developed a service called the OncologyCloud, based on the idea that 96% of potentially available data on patients with cancer is not yet analyzed. It aims to take this data gathered during diagnosis and treatment, and make it available to clinicians to further their study. 12 2016 Cengage Learning Computing Conference
The Big Data and Analytics (continued) Better and Faster Identification of at Risk Patents Personalized - tailoring medicines to a person s unique genetic makeup and is developed by integrating a person s genetic blueprint and data on their lifestyle and environment, then comparing it alongside thousands of others to predict illness and determine the best treatment 13 2016 Cengage Learning Computing Conference
Wearable Computing Wearable computing (real time monitoring, preventive healthcare, ...) Fitbit, Jawbone, Samsung Gear Fit, and Apple Watch that allow you to track your progress and upload your data to be compiled alongside everyone else s In 2015, Target Corporation announced that it will give its 335,000 employees in the US Fitbit Trackers as the company focuses more on wellness 14 2016 Cengage Learning Computing Conference
Mobile Computing and Mobile Apps Medical Mistakes are the 3rd Leading Cause of Death in the US (IT can help!) Mobile Bedside Assistance and Monitoring Improved access to care (virtual visit) Improved patient engagement (medication reminder app, text message, ) Improved Patient Safety, Apps can remind you to take pills, monitor side effects and transfer the knowledge to your doctor Reduced Medicare Fraud ($60 billion annually from Medicare, apps can track) 15 2016 Cengage Learning Computing Conference
Collaboration Systems Better communication between patients and healthcare providers Remote monitoring Clinical groupware- IT systems that integrate and coordinate the data provided by every member of the healthcare team, from the doctor to the patient Doctors on Demand- doctors and psychologists through apps for less than $40 16 2016 Cengage Learning Computing Conference
Virtual Reality Treatment for PTSD (Post-Traumatic Stress Disorder) Pain management Exposure therapy (patients with phobias) Surgical training Opportunities for the disabled Google Cardboard saved a baby's life! 17 2016 Cengage Learning Computing Conference
Robotics Medical robots are transforming the face of healthcare They have been used to train medical personnel (doctors, dentists, and nurses) They have assisted elderly patients during rehabilitation They have allowed surgeons to make smaller incisions for certain types of surgery They have been used during the training process as dummies to mimic a live patient s feelings of pain 18 2016 Cengage Learning Computing Conference
Robotics (continued) Microbots that scrape plaque from arteries To personal assistant robots that help care for patients Socially assistive robots for individuals suffering from dementia Da Vinci Surgical System, the surgical assistant the FDA approved back in 2000 19 2016 Cengage Learning Computing Conference
Artificial Intelligence- IBM Watson IBM and Pathway Genomics are developing an app that uses personal history and genetics to evaluate risks and recommend exercises and diet Watson has vision- recognizing images and patients' records Battling cancer with advanced genomics 20 2016 Cengage Learning Computing Conference
Artificial Intelligence- IBM Watson (continued) Guiding oncologists on the most appropriate cancer treatment options based on the patient's medical history and other data Drug development- Biotech companies are combining artificial intelligence and big data to identify new drug compounds Johnson & Johnson and Sanofi are using Watson to find new targets for FDA approved drugs 21 2016 Cengage Learning Computing Conference
Artificial Intelligence - NLP The healthcare industry could significantly benefit from various NLP applications NLP systems could reduce administrative healthcare costs and improve the accuracy of data. An NLP-based clinical decision support: As an example, the system can be used to set up colonoscopy follow-up for patients. The system can extract relevant text from various files and then set a follow-up for the patient Automated dictation system: A doctor can read his/her diagnostic of a patient or an X-ray, and the NLP system generates a Word document to be sent to the patient or other doctors. 22 2016 Cengage Learning Computing Conference
Artificial Intelligence - NLP (continued) Text summarization: An NLP-based system can extract clinical information from multiple reports and generate a single document for a doctor s review. Clinical data and virtual administrative assistant: An NLP-based system could accommodate such requests as scheduling an office visit or paying any outstanding medical bills. Real-time translation services: An NLP-based system can provide real-time translation with a high degree of accuracy for patients and clinicians, similar to those services offered by companies such as Google and Microsoft. 23 2016 Cengage Learning Computing Conference
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Please contact me with any questions or comments: Hossein Bidgoli hbidgoli@csub.edu https://www.csub.edu/~hbidgoli/ 661-654-2331 Thank you! 25 2016 Cengage Learning Computing Conference
