Index

Citation

Fleisch, E., Franz, C. and Herrmann, A. (2021), "Index", The Digital Pill: What Everyone Should Know about the Future of Our Healthcare System, Emerald Publishing Limited, Leeds, pp. 197-202. https://doi.org/10.1108/978-1-78756-675-020211020

Publisher

:

Emerald Publishing Limited

Copyright © 2021 Emerald Publishing Limited

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INDEX

Adherence

, 95

Aetion Health

, 149

Aggregation

, 160

Akili Interactive Labs

, 90–91

AKL-T01 (project)

, 90

AliveCor

, 53–54

Amazon recommendation system

, 61

American health insurance system

, 11

Amino database

, 126–127

Animation, comic and game style (ACG style)

, 78

Annals of Clinical and Laboratory Research (2017)

, 60

Antibiotics

, 4

Antibodies

, 5

Antidote

, 141–142

Apixio

, 107

Apple

, 55, 103–104, 120, 136, 143–144

Arterys

, 72

Artificial intelligence (AI)

, 43, 71, 82, 99, 109, 138

AI-based IT tools

, 160–161

Atomwise

, 139

Atrial fibrillation (A-fib)

, 53

Attention deficit disorder (ADD)

, 90

Ava

, 56

Ayushman Bharat program

, 9

Azumio

, 56

Babylon Health

, 47–50

Bad cholesterol

, 75

Billing codes

, 122

Biomarkers

, 131

Biovotion

, 56

Blood type system

, 150

Bloomberg news agency

, 11

Buoy Health

, 49

Cardiovascular disease in Mexico

, 22–23

CareMore healthcare chain

, 173

Celcuity

, 151

Cell differentiation

, 104

Century Cures Act

, 148

Chest pain

, 46

Chunyu Yisheng

, 69–70

Citizen scientists

, 61–62

Clinical studies

, 100

digital patient recruitment for

, 140–144

Clinical Trial Transformation Initiative

, 144

Cochrane Crowd platform

, 62

Collaborative robots (cobots)

, 138

Collective Health

, 125–126

Color Genomics

, 57

genetic testing by

, 59–60

Computer processing speed and smart algorithms, continuous improvements in

, 151–152

Computer-aided drug discovery

, 137–140

Computer-assisted methods

, 138

Cyberchondria

, 45–46

Data

collecting, processing, and analyzing

, 106–114

collection

, 106–107

data-driven healthcare networks

, 123–127

digital biomarkers

, 113–114

primary and secondary use of health data

, 111–113

privacy

, 161

problem with distributed incompatible

, 107–109

security

, 114–116

transforming data into medical knowledge

, 109–111

Dexcom

, 56

Diabetes epidemic in China

, 18–22

Diagnostics

, 56–57

Diet

, 22

Digital Adherence Coach

, 95–98

Digital advertising

, 83

Digital assistants

, 169

Digital biomarkers

, 113–114

Digital coach

, 87, 164, 172

Digital doctor–patient relationship

, 63–64

digital one-stop platforms

, 76–77

digital physician assistant

, 70–74

online consultation

, 67–70

online pharmacies

, 74–75

selecting, making appointments with, and reviewing doctors online

, 64–67

unstaffed mini-clinics

, 77–79

Digital drug development

, 135

computer-aided drug discovery

, 137–140

digital patient recruitment for clinical studies

, 140–144

evidence gained from digital RWD

, 144–145

precision medicine

, 149–152

RWD replacing control groups

, 145–149

Digital health data and infrastructure

, 159–162

Digital Healthcare Act

, 94, 148

Digital interventions

, 92

Digital medicine

, 82

Digital one-stop platforms

, 76–77

Digital patient

journey

, 77

recruitment for clinical studies

, 140–144

Digital personal coach

, 85–91

Digital physician assistant

, 70–74

Digital technologies

, 34, 39–41, 119

Digital therapeutics

, 81

characteristics

, 84

Digital Adherence Coach

, 95–98

digital personal coach

, 85–91

by prescription

, 92–95

Digitale-Versorgung-Gesetz (DVG)

, 148

Digitalization

, 25, 39, 57, 63, 121, 136, 156, 168–169, 171

accelerating medical research

, 37–38

boosts efficiency

, 34–35

democratizing medicine

, 35–36

healthy diet and preventive general medicine in Spain

, 32–33

HPB in Singapore

, 31–32

improving quality

, 36–37

individual risk factors

, 27–28

preventive dental medicine in Sweden

, 31

preventive health care in Ancient China

, 30

supports behavioral change

, 34

tomorrow’s medicine

, 33–38

Direct-to-consumer laboratory testing

, 60

DNA strand

, 104

“Do no harm” principle

, 118

Do-it-yourself medicine (DIY medicine)

, 43

citizen scientists

, 61–62

continuous patient self-monitoring

, 53–56

limits

, 60–61

research

, 44–47

response pattern

, 155

self-help and self-diagnosis

, 47–50

sharing between (expert) patients

, 50–52

tests

, 56–61

DocPlanner

, 66–67

Doctor on Demand

, 67–68

Drug

approval

, 146

development process

, 136

discovery process

, 138

Electrocardiogram (ECG)

, 53

Electronic medical records (EMR)

, 102–104

Enlitic

, 71–72

Epigenetic fixation

, 104

Equity

, 119

Ethical challenges

, 118–119

European Commission

, 94

Evidation Health

, 94–95

Exponential growth in data volume

, 105–106

Fast Company

, 54

Fitbit

, 56

Flatiron Health

, 148–149

Freemium business model

, 69

Freenome

, 57

Garmin

, 56

Genes

, 104

Genetic testing by Color Genomics

, 59–60

Genome

, 104

Genomics

, 104

Ginger. io

, 88

GoFundMe crowdfunding platform

, 8–9

Google

, 55, 107, 110–111, 120

Google Flu Trends

, 111

Google Genomics

, 110–111

Google syndrome

, 45–46

Hao Dai Fu platform

, 65

Happify

, 88

Harvard Health Blog

, 45

Healbe

, 56

Health

, 173–175

literacy

, 46–47

Health data

, (see also Real-world data (RWD))

EMR as core of

, 102–104

history

, 101–102

primary and secondary use of

, 111–113

as strategic asset

, 100–106

Health Insurance Portability and Accountability Act (HIPAA)

, 117

Health Promotion Board (HPB)

, 31

in Singapore

, 31–32

Health Tap

, 49

Health Unlocked platform

, 52

Healthcare

costs

, 12–13

expenditure

, 14

systems

, 10, 155, 159, 163, 171

HealthKit

, 56

Healthline

, 45

Healthy 365 App

, 32

“Healthy Choices” program

, 128

Healthy diet

, 32–33

Healthy. io

, 57

Helix

, 57

Hemochromatosis

, 126

Home DNA testing

, 60

Home video industry

, 36

Huawei

, 56

Human Genome

, 150

Human papillomavirus (HPV)

, 135

Hyperactivity

, 90

Hypochondriacs

, 46

IBM Watson

, 142

iCarbonX

, 151–152

ICPerMed consortium

, 165–166

Incentive systems

, 121

Indication

, 146

Infectious diseases

, 29

Infrastructure as a Service (IaaS)

, 110–111

Integrated health systems

, 76

Intervention

, 84

Intestinal iron absorption

, 126

Iron overload

, 126

K Health

, 49

Kaia Health

, 89

Kaia Motion Coach

, 89

Kardia app

, 53

Kardia ECG

, 54

KardiaBand

, 54

KardiaPro system

, 54

Lab robots

, 138

Lead-time bias

, 17

Life expectancy

, 3–4, 16

Lifestyle reward programs

, 127–130

LiveHealth

, 108–109

Longitudinal data

, 105

Luxturna

, 133

Lymphangioleiomyomatosis (LAM)

, 52

Lyra Health

, 88

Magic Leap

, 89–90

Mark2Cure platform

, 62

Mass immunization

, 5

Master patient indices

, 102

Medical ethics

, 118

Medical innovations

, 4

Medical progress

, 3

demographic consequences

, 9–10

economic consequences

, 8–9

ill health

, 6–7

new challenges

, 7

Medical records

, 101

MedicalNewsToday

, 45

Medicare Advantage

, 124

Medicine

, 18

MedScape

, 73–74

Meru Health

, 87–88

Meta-studies

, 92

Microbiome

, 104

Microsoft

, 107

Mindmaze

, 91

Misfit

, 56

Monitoring approach

, 83

Moov

, 56

mPower

, 143

mySugr app

, 86–87

National Institutes of Health (NIH)

, 140

“New Deal on Data”

, 119–120

Next-gen biotech

, 139

Non-communicable diseases (NCDs)

, 6–7, 11, 25, 39, 68, 77, 81, 156, 171

cardiovascular disease in Mexico

, 22–23

chronic

, 19–20

diabetes epidemic in China

, 18–22

human suffering and high costs

, 17–18

prevention

, 47

reduction goals

, 26

NoteSwift

, 107

Novartis

, 120, 139

Nuance

, 107

Off-label use

, 146

Olive

, 107

Omada Health

, 95, 132

Omics

, 102

data

, 104–105

“One-minute Clinic”

, 78

Online consultation

, 67–70

Online pharmacies

, 74–75

Online therapeutics

, 167

Onlinedoctor

, 57

Oscar

, 45

Oscar Health

, 124–125

Ottonova

, 45

Outcome Health

, 45

Outcome-based medicine

, 123

Pathmate Technologies

, 88

Patients

, 155–156

PatientsLikeMe platform

, 50–52

Pay-for-performance models

, 130–133, 168

Payment on delivery

, 167–169

Pear Therapeutics

, 93–94

Penicillin

, 4

Penicillium

, 4

Personalized medicine

, (see Precision medicine)

Petri dish

, 4

PHQ-9 patient questionnaire

, 87

Ping An Good Doctor

, 78

Practice Fusion

, 103

Practo

, 65–66

Pre-Cert program

, 93–94

Precision medicine

, 149–152, 163–166

“Precision Medicine Initiative”

, 150

Preventive dental medicine in Sweden

, 31

Preventive general medicine in Spain

, 32–33

Preventive health care in Ancient China

, 30

Preventive medicine

, 171–175

Privacy or right to informational self-determination

, 116–118

Propeller Health

, 88–89

Proteus Digital Health

, 97–98

Public health infrastructure

, 15–16

Quantified Self movement

, 54–56

Quiagen

, 57

RADLogics

, 72–73

Randomized double-blind studies

, 99

RateMDs

, 67

Re-allocation of roles

, 155–157

Real-world data (RWD)

, 99, 135, 161

allow for time travel

, 145

evidence gained from digital RWD

, 144–145

improving study design’s probability of success

, 146–147

knowledge gained in clinical studies

, 147–149

replacing control groups

, 145–149

uses for existing drugs

, 146

Redox

, 108

ResearchKit platform

, 143

reSET program

, 93

Right to Privacy, The

, 116

Robots

, 138

Roche

, 57, 113–114, 131–132

SageBionetworks

, 143

Samsung

, 56

Sanitas Coach App

, 89

Saykara

, 107

Science 37

, 142–143

Self-learning chatbot

, 48–49

Self-monitoring data

, 105

Siemens

, 57

Sildenafil

, 146

Skepticism

, 5–6

Smallpox

, 4–5

Spain, preventive general medicine in

, 32–33

Spark Therapeutics

, 132–133

State of vulnerability

, 83

Stool sample test by Viome and DayTwo

, 58–59

Sweden, preventive dental medicine in

, 31

Talk-and-tools

, 83–84

TARMED tariff system

, 122

Telemedicine

, 169

TNP-470 molecule

, 138

Transparency

, 167

Triage

, 48

Type 1 diabetes

, 17

Type 2 diabetes

, 17

2 times Andrew Radin (TwoXAR)

, 139–140

23andme

, 57

2Morrow

, 88

uBiome

, 61

UK-based National Institute for Health and Care Excellence

, 130–131

Universal individual privacy

, 116–117

Unstaffed mini-clinics

, 77–79

Urine test by Healthy. io

, 57–58

US Food and Drug Administration (FDA)

, 54, 72, 90, 145

Vaccination

, 5

Vaccines

, 4

Value-based digital compensation systems

, 169

Value-based medicine

, 121, 123

data-driven healthcare networks

, 123–127

lifestyle reward programs

, 127–130

pay for performance

, 130–133

Viome

, 57

Virtual reality (VR)

, 139

Walgreens program

, 128–130

Walmart

, 70

Web-based training

, 83

WebMD

, 45

Weighting factor

, 6

Welfare principle

, 118–119

Westdeutscher Rundfunk

, 147

Withings

, 56

Wlycloud

, 73

World Health Organization (WHO)

, 6, 26, 76, 95, 174

Xiaomi

, 56

Years lost to disability (YLD)

, 6

Your. MD

, 49