Master Thesis / 2019
Supervised by
Prof. Detlef Rhein, Prof. Dr. Norbert M.Schmitz
Conversation of Healthcare
INTRO
Nowadays, in most developed countries, people are living longer. This is due, in part, to improved hygiene and nutrition, sanitation, and advances in healthcare treatments. Conditions that were once often fatal, such as strokes, diabetes, heart disease, and cancer, are now to some extent survivable and manageable. Death rates across the globe have dramatically reduced in the last five decades. In 2016, there were 7.8 deaths per 1,000 people globally, compared to 11.9 in 1970.
However, these advances in health care, combined with sharply falling birth rates, have in turn contributed to another problem—a so-called ‘demographic time bomb’. The population aged 60 or over is growing faster than all younger age groups.
‘Demographic Timebomb’
By 2050 the number of older people will exceed the number of younger people for the first time in human history.
In Europe, chronic diseases account for 77% of all deaths.
70% to 80% of the medical budget (estimated at 700 billion euros) is used in the EU for chronic diseases.
more than one-third of European populations over the age of 15 suffer from chronic diseases.
two-thirds of those who reach retirement age will have at least two chronic diseases.
Chronic Disease Management
The most prominent characteristic of chronic disease is its long-term illness. Patients often need continuous care, long-term medication, and high-frequency re-examination. The patient’s active participation, self-management ability, and compliance will significantly affect disease development. It is not a long-term solution to rely on the patient’s consciousness to treat chronic diseases. Patients need a reasonable chronic disease management model to help them complete treatment programs and strengthen self-management. Such long-term and close monitoring and management are not suitable for centralized. The hospital came to provide.
As the cases of chronic illnesses increases, so grows the medical, social, and economic burden. WHO research shows that the overall burden will be even larger in the future if nothing is done about the growth of chronic disease cases now.
Imagine if an 85-year-old man who was taking 24 different medications
is asked to answer the question:
“What medications are you currently taking? ”
1. Medical scenarios are extending to families.
2. The characteristics of healthcare transition from passive to active:
1. Seek health services when sick;
2. Consumers categorize through different care options;
3. Obtain the data to confirm the diagnosis.
1. Data is obtained through medical-grade wearable devices;
2. If there is an abnormal situation, the nursing option will lend a helping hand and confirm whether it is necessary to go to the hospital;
3. The user already has an archived historical data set, biomarkers, and genetic predisposition records.
CASE STUDY
KRAUSE, 62 YEARS OLD
- diagnosed with 7 chronic conditions: diabetes, arthritis, sleep apnea, chronic fatigue, depression, fibromyalgia, and chronic tendonitis
- unable to continue working
- experiences pain when she wakes up
- stopped seeing friends and cannot participate in social activities
- prescribed up to 17 medications, which she doesn’t feel are very helpful and often doesn’t like
- feels managing his conditions has become a central part of her and her husband’s lives
Stakeholders
What does the data actually mean for them?
Patient
- Whether data is collected
- Is the data at the normal level?
Family or Nursing Worker
- the development of the data
（Related to the development of the disease）
Doctor
- Data integrity
- Integrate with hospital inspection results
SCENARIO ANALYSIS
Scene A: face to face
- Telemedicine that has not been met before is not allowed.
- Building relationship
Scene B: nonpresence
- communicating only through data
Scene C: Communicate via Video
- real-time data exchange
- more information exchange, such as living and working.
INTERFACE OF PATIENT
DIFFERENT SITUATIONS
INTERFACE OF THE NURSING WORKER
INTERFACE OF THE DOCTER
References
World Health Organization 2010 www.who.int/goe/publications/goe_telemedicine_2010.pdf.
J Law Med. (2004) : Electronic health records: international, structural and legal perspectives. 12(1):26-39.
HealthIT.gov, n.d., “What is an electronic health record (EHR)?” Accessed January 16, 2014.
https://www.healthit.gov/faq/what-electronic-health-record-ehr
Karin Garrety, Ian P. McLoughlin, Rob Wilson, “The digitalization of health care: electronic records and the disruption of moral orders”, 2017, Oxford University Press
Umer Farooq, Jonathan Grudin, Human-Computer Integration, November 2016, Vol 23(6): pp. 26-32 https://www.microsoft.com/en-us/research/publication/human-computer-integration/
Licklider, J.C.R. Man-computer symbiosis. Transactions on Human Factors in Electronics Vol. HFE-1, (1960), 4–11.
Steve, Mann(2001): Guest editor’s introduction: Wearable computing-toward humanistic intelligence. IEEE Intelligent Systems, 16(3):10–15.
Umer Farooq, Jonathan Grudin, Human-Computer Integration, November 2016, Vol 23(6): pp. 26-32
https://www.microsoft.com/en-us/research/publication/human-computer-integration/
Umer Farooq, Jonathan Grudin, Human-Computer Integration, November 2016, Vol 23(6): pp.26-32
https://www.microsoft.com/en-us/research/publication/human-computer-integration/ ¹⁴, Umer Farooq, Jonathan Grudin, Human-Computer Integration, November 2016, Vol 23(6): pp.26-32
Licklider, J.C.R. Man-computer symbiosis. Transactions on Human Factors in Electronics Vol. HFE-1, (1960), 4–11.
Steve, Mann(2001): Guest editor’s introduction: Wearable computing-toward humanistic intelligence. IEEE Intelligent Systems, 16(3):10–15.