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Abbott Molecular, 106 AbbVie, 20, 25, 109, 113, 153 Abilify (aripiprazole), 12 accountable care organizations

(ACOs), 110, 178, 188 active ingredient-based groups, 151 Actonel (risedronate), 103

Actos (pioglitazone), 115

acute myeloid leukemia (AML), 99 Aetna, commercial insurers, 164, 174,

190, 223

affordability, 130, 141, 142, 145, 156, 169

of prescription drugs, 145 up-front of medicine, 154

Affordable Care Act (ACA), 21, 149, 167, 175, 176, 179, 189

Afrezza inhaler, 97 AG-221 (enasidenib), 99 AgaMatrix, 204

Agency for Healthcare Research and Quality (AHRQ), 131 Aggarwal, R, 129

agile supply chain, creating, 229 algorithms, 216, 225, 232

Bayesian, 222, 228 AliveCor, 8, 12, 204

alliance. see also strategic alliances acquisition continuum, 58 biotech companies, 50

Celgene, 49, 54, 55, 84, 95, 98, 99, 107, 140

contract, 62 contractual, 59

arrangement, 64

pharma companies, 50 transactions, 59 Alnylam

cash raising, 27

financing strategies, 26–28 funding, 26

RNA interference (RNAi) based therapies, 26

Alphabet, 6, 8, 12, 17, 18, 20–22, 37, 84, 85

healthcare portfolio, 18

ALS (amyotrophic lateral sclerosis), 102, 127, 129, 199

Alzheimer’s disease, 218 Amazon, 21, 215, 231

American Lung Association, 205 American Society of Clinical Oncologists’

(ASCO) Value Framework, 181 American Telemedicine Association

(ATA), 211 accreditation, 211 American Well, 210–212 AmeriDoc, 211

Amgen, 4, 46, 49, 54, 73, 103, 113, 117, 123, 164, 190, 227

amyotrophic lateral sclerosis (ALS), 102, 127, 129

analytics, 219

across biopharma value chain, 227 continuum, 224

descriptive, 224 driven organization, 226

enabled biopharma organization, 241 first organization building, 238

as strategic imperative, 239

273

Managing Biotechnology: From Science to Market in the Digital Age, First Edition. Françoise Simon and Glen Giovannetti.

© 2017 John Wiley & Sons, Inc. Published 2017 by John Wiley & Sons, Inc.

COPYRIGHTED MATERIAL

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analytics (continued )

changing behaviors, 239, 240 partner forflexibility, 240, 241 role in establishing product value, 230 to rethink commercial

activities, 229–232 anaplastic lymphoma kinase, 106 Anthem, 10, 20, 207, 212 antibiotic

development, 146 inappropriate use, 131 research, 146 Apache Hadoop, 222

Apple, 6, 8–17, 22, 85, 100, 138, 140, 197, 199, 200, 202, 206, 215, 227, 229

Apple iTunes, 11 Apple ResearchKit, 140

Apple Watch, 10–14, 22, 138, 197 Aprecia Pharmaceuticals, 201 artificial intelligence (AI), 25, 222 Aspinall, Mara, 72, 91

AstraZeneca, 49, 76, 78, 84, 104, 108, 114, 123, 128, 134, 163, 164, 199, 203, 227

scheme, 164

Australian Pharmaceutical Benefits Advisory Committee (PBAC), 180

Avalere/Faster Cures’ Patient Perspective Value Framework, 181 Baris, Aris, 227

benefit/cost ratio, 156

beyond the pill, 24, 48, 70, 73, 90, 101, 122, 135, 136, 143, 185, 191, 232, 241

beta thalassemia, 140 biannual price, 149, 152 big data, 198, 215, 219, 221

Bill and Melinda Gates Foundation, 41 Biogen, 4, 49, 56, 127, 128, 199, 207, 213 biomarkers, 6, 8, 10, 13, 19, 22, 50, 70,

72, 75, 77–81, 84, 85, 90, 93, 98, 101, 102, 125, 165, 197, 227, 235

development, 80, 84

targeted medicines, 79 biometric sensor, 219 biopharma, 145

best practices for, 210 digital strategies, 197

new R & D patient-centric models, 197, 198

optimizing clinical trials, 198, 199 role of social media in trials, 199,

200 divesting, 55–56 marketing strategy, 94

organizational models, 187, 188 payer relationships, 185–187 pricing model, 147

strategic alliances, 50–51 dealing for, 56–65

mission and objectives, 57–58 monitoring results and

learning, 64–65 partner selection, 56–57 structure, 58–62 drivers and constraints, 47 innovation, 49

meeting commercial needs, 49 vs. acquisition, 53–54 structure considerations, 55 to become analytics experts, multiple

forces, 217 trust-breakers, 186 value chain, 226

biopharma-payer engagement, 188–192 chronic, high-cost diseases

and outcomes-based deals, 191 data co-creation with payers leads

to, 192 integrated payers, 191 scaling-up new partnership

models, 189–191 biopharmaceutical

companies (see biopharma) products, 145

biosensors, 6, 8, 9, 14, 101, 102, 112, 122, 128, 135, 197, 204, 207 biosimilars

challenge of, 117 developing, 49

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from Lilly and Boehringer Ingelheim, 203

value proposition associated with, 159 biotech company/entrepreneurs, 35

business model, 34 commercialization, 44

funding sources, and representative amounts, 25 (see alsofinancing sources)

fundraising, geographic considerations, 33 mergers and acquisitions, 43–44 patient engagement capabilities, 44 R & D support payments, 43 biotechnology

industry applications, 5–6 megatrends impact, 6

Biotechnology Innovation Organization (BIO), 228

Blin, Emmanuel, 138 blue biotech, 5

Blue Gene supercomputer, 3 Boniva (ibandronate), 97 Bosley, Katrine, 29, 31

BrainBaseline cognitive software, 140 brand

generics, 116–117 loyalty, 100 medicines, 168 models, 94, 103, 104 Brilinta (ticagrelor), 114

Bristol-Myers Squibb, 21, 55, 77, 109, 138, 139, 161

employee engagement initiative, 138–140 goals, 139

program development, 139 globally relevant, 139 internally focused, 139 program launch, 140 storytelling, power of, 139 strategy, 139

budget

constraints, 182 discipline, 169

bundled payment, 167, 168 experiments, selected, 168

models, 165, 167 business

development, 31 models, 50, 69, 218

business-to-business (B to B) model, 176 Bydureon (XR exenatide), 203

Calico, 6, 12, 17, 18, 20, 22 campaigns, 109, 110 CancerCare, 132 cancer treatment, 75

chemotherapy, 75 radiation therapy, 75

capital preservation, adaptations to, 32–33 capital raising

biotech management teams, 32 strategic decisions, 30–33

pricing and dilution, 31–32 capital, sources, 28

corporate venture capital, 28 crossover investment funds, 28 governments and disease foundations

grants, 28

larger pharmaceutical/biotechnology companies, collaborations with, 28

public investors, 28 seed stage investors, 28 venture capitalfirms, 28 cardiometabolic syndrome, 12 CDC (Centers for Disease Control and

Prevention), 18, 198

Celgene, 49, 54, 55, 84, 95, 98, 99, 107, 140

Centers for Medicare and Medicaid Services (CMS), 131, 167, 189 Cerezyme (imiglucerase), 117

Charpentier, Emanuelle, 3 chemotherapy, 71, 74, 106 Chick, Stephen, 129 chief data officer (CDO), 239 chief information officer (CIO), 239 chief patient officer, 138, 143, 204 chronic myeloid leukemia, 4, 70, 95 Cigna, 164, 190, 211

Cleveland Clinic, 12, 16, 17, 105, 133 Clinical Commissioning Groups, 180

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Clinical Educator Programs, 137 clinical trial, 6, 10, 13, 14, 19–21, 27, 32,

42, 48, 50, 60, 62, 63, 77–79, 84, 104, 108, 120–122, 125, 127, 133, 144, 155, 160, 186, 190, 197, 198, 200, 205, 206, 208, 216, 218–220, 223, 228, 229, 231, 232, 235, 238, 240 consent forms, 120

enhancement, 127 improving, 228, 229

patient-to-patient communications, 122 trial optimization, 126

cloud computing, 16, 221 cloud-based storage, 216 collaborations, 192 combination products, 115 commercial insurers, 174, 177 commercial risks, 157 commercialization costs, 147

companion diagnostics, 70, 77, 105–107 competition, 146, 148, 150, 153, 158, 165,

167, 175, 176, 186, 212, 229, 242

competitors, 105, 128, 146 consumer

attitudes, 102

centered trends, 206–210 decision journey, 100

social media, 208–210 wearables, 206–208 empowerment, 69

Web-driven, 197 engagement, 110

focused healthcare loans, 170 information gaps, 123 pricing, 94

research, 96

content marketing, 110–111

continuous glucose monitoring (CGM) device, 12

cost control, 73–74 cost-effectiveness, 180

analyses, 182

cost-of-illness modeling, 170 cost-sharing, 217

Coulter, Martin, 129

Crestor (rosuvastatin), 103, 104 Crick, Francis, 3, 4

CRISPR/Cas9 technology, 3, 20

cross-functional teams, 107, 118, 143, 204 cultural barriers, 238

curative therapies, 170 custom-built IBM apps, 16 cutting-edge technologies, 51 CVS Health Corp., 164

cysticfibrosis, 42, 70, 91, 96, 145 drugs, 145

Cystic Fibrosis Foundation, 122, 128, 209 Dana-Farber Cancer Institute, 170, 206 data

analysis, 217 analytics, 226, 232

and analytics challenges, 233 capabilities, 225

driven solutions, 218 generation, 218

integration, 226, 233–235 lifestyle, 220

mining process, 136 privacy, 86, 236, 237 quality, 233, 235, 236 sharing, 81, 88 data breaches, 207 Davidovic, David, 221, 222 debt-financing instruments, 170 decision-making power, 152 democratization, 217

department-specific key performance indicators (KPIs), 138 Dexcom, 6, 12, 19

diabetes, 6, 12, 16, 18, 19, 75, 104, 105, 110, 114, 123, 124, 134, 141, 167, 168, 190, 191, 200, 203, 204, 207, 224, 231

diagnostics developers, 88 drug developers, deal making

between, 89 digital biomarkers, 72 digital communications

metrics for, 141

digital engagement tools, 133 digital ethnography tools, 97

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digital health, 146 landscape, 9 opportunities, 6–7 strategies, 197

digital impact on supply chain management, 200, 201 digital markers, in diabetes, 75 digital medicines, 90

digital precision medicine, 74–75 digital services, scope of, 211, 212 digital technologies, 69

digital tools, 146

digital transformation, of commercial activities, 201–204 direct-to-consumer (DTC)

advertising, 107 promotion, 134 disease

management services, 112 outcomes, 75

prevention accelerator, 123 DNAnexus, 220, 221 doctor on demand, 211

virtual services, 133 Doudna, Jennifer, 3, 4 3D printing, 201 drug costs, 168 drug developers, 84, 88

drug development, 47, 51, 73, 90, 146 efforts, 24

product approval, 24 drug discovery, 47, 226 drug facts box, 107 drug formulations, 115 drug interactions, 117 drug manufacturers, 168 drug marketing, 106 drug pricing, 55

challenges, 48 decisions, 145 economics of, 146–153 inflation, 109

drug recalls, 96 drug regulators, 90 drug resistance, 76 drug spending, 94 drug therapy, 69

drug-diagnostic combinations, 71 pairs, 79

drug-resistant microbial infections, 146 drugs targeting, 71

dRx Capital, 6, 200, 213

DTC/direct to consumer spending, 109 dual branding models, 103

dynamic

data market, 233

financing environment, 33 e-consultations, 133 e-patients, 126 economic drivers, 146 economic models, 146

EGFR. see epidermal growth factor receptor (EGFR)

EHRs. see electronic, health records (EHRs) electronic

consent process, 121

health records (EHRs), 6, 74, 122, 220 data, 220

employee incentives, 61 employers, 179

ACA strengthened federal government’s role, 179

drive harder bargain with, 179 variance, 179

vertical integration, 180 Entresto (sacubitril/valsartan), 164 enzyme replacement therapies, 60 epacadostat, 107

eParticipants, 129

epidermal growth factor receptor (EGFR), 76

expression, 165 inhibitor, 76, 79 epigenome, 72

epinephrine injection, 145 EpiWatch app, 14 equity capital, 33

ertugliflozin(insulin glargine), 203 European Medicines Agency (EMA), 121,

147

European Patients Academy on Therapeutic Innovation (EUPATI), 123

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European Patients Forum, 123 European payers, 180 European Union, 150

payers characteristics, 181 high-level unity, low-level

fragmentation, 180, 181 portfolio of pricing controls, 150, 151 RareConnect site, 208

variations to manage drug prices/

costs, 150

EURORDIS (European Organization for Rare Diseases), 208

Everyday Health, 130, 211 evidence-based marketing, 104 evidence-based medicine, 222 evidence-based strategy, 96 evolocumab, 73

experimental pricing strategies, 165 indication-specific pricing, 165 external reference pricing, 151 exubera, 97

Fabrazyme (agalsidase alfa), 117 Facebook, 18, 145, 199, 204, 205, 208,

209, 215, 232

Farxiga (dapagliflozin), 115, 203 Federal Trade Commission (FTC), 208 financial-based agreements (FBAs), 163 financing and capital allocation

strategy, 31 financing sources, 33–43

asset-basedfinancing, 43 corporate venture capital, 37 crossover investors, 38 government grants and disease

foundations, 41–42

mergers and acquisitions, role of, 44 private philanthropic sources, 41 public investors

IPO process, 38–41 seed capital, 33–35

angel investors, 33–34 crowdfunding, 34 government grant, 34–35 strategic alliances, 43 venture capital, 35–37 venture debt, 37–38

Fitbit, 6, 10, 11, 14, 138, 197, 199, 202, 206, 207, 213

wristband sensor, 10 Fit2Me website, 134 fixed price, 168

fluorescent reporter protein, 5

Food and Drug Administration (FDA), 4, 10, 12, 46, 73, 78, 81, 84, 91, 121, 124, 128, 134, 147, 155, 197, 200, 207, 208, 209, 237 alliance with the PatientsLikeMe online

community, 121 approval of Keytruda, 78, 106 approved Amgen and Sanofi/

Regeneron’s PCSK9 inhibitors, 43

approved medical devices, 8, 9 approved Neupogen indications, 117 development and validation of

PROs, 124, 127 digital health unit, 75 encouraging biomarker-driven

approaches, 84 Foschini, Luca, 231 Fouse, Jacqualyn, 98 franchise building, 113–114 Franklin, Rosalind, 3, 4 Frazier, Kenneth, 145 future investors, 32

Galvani Bioelectronics, 18, 19 Garfield, Susan, 162

gene

mutations, 101

sequencing optimization, 3 sequencing technologies, 70

Genentech, 4, 5, 17, 46, 60, 61, 69, 101, 115, 128, 199, 205, 222 generic drugs, 94, 168

genetic data, 219, 220, 227 genetic markers, 98 genome sequencing, 79, 226 genomic screening, 102 genomic technologies, 226 genotype-specific oral therapy, 4 Genzyme, 4, 60, 62, 103, 120, 125, 126,

209

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Gilead, 54, 94, 105, 109, 153, 161, 163, 164

Gleevec (imatinib), 4, 70, 76 Gleevec(from Novartis), 70 globalfinancial crisis 2008, 30 global organization, 108 global price

band, 159 regulation, 147 GlucoSuccess, 13 GNS Healthcare, 222 golden rice, 5

Google, 8, 11, 12, 17–22, 101, 198, 199, 206, 236

Google Flu Trends (GFT), 18, 236 Google Health, 17, 21

Google mobile apps, 18 Google Play, 11

government-funded systems, 180 Grail, 21, 25, 28, 91

green biotech, 5

group purchasing organizations (GPOs), 162

GSK (Glaxo SmithKline), 18–20, 52, 56, 58, 114, 227

Hack Epilepsy, 51, 124

Harvard Pilgrim’s outcomes-based deal, 169

Harvard Pilgrim Health Care, 190 Harvoni (ledipasvir/sofosbuvir), 94, 105,

109

HCAHPS (Hospital Consumer Assessment of Healthcare Providers and Systems) survey, 131–133, 135 health apps, 8

health data, 189, 207, 215, 216, 218, 219, 221, 236

collected on Apple devices, 13 consumer-generated, 6 easily quantified through, 135 volume, variety, and velocity of, 215 health ecosystem, 221

health exchanges, 176 health expenditure, 174 Healthgrades, 131, 208 health insurance, 174

health plans, 174, 176 online shopping for, 176

health technology assessment (HTA), 83 criteria, 147

healthcare, 218

big infotech strategies, 12–21

Alphabet healthcare portfolio, 17–18 Apple and IBM in Japan, 16 Apple, role of, 12–14 Calico partnerships, 20 Galvani bioelectronics, 19–20 Google investments, 20–21 Google search and mayo

clinic, 18–19 IBM, role of, 15–16 Medtech and pharma alliances, 16–17 Qualcomm, role of, 14–15 Verily partnerships, 19 Watson partnerships, 17 business model variance, 10 costs, 147

data vectors, 218 data, explosion of, 219 digitization of, 90

infotech, disruption risk from, 8–11 infotechnology initiatives, 8 reimbursement, 218 technology strategies, 11–12

new entrants, 12

wearables, rise and limitations of, 11 transforming forces, 7

value chain, impact of digital solutions, 7

HealthKit software, 6 HealthUnlocked, 128

hepatitis C, 12, 94, 105, 108, 109, 129, 134, 145, 153, 156, 158, 159, 163, 164, 167

medicine, 153, 158–159, 163

Herceptin (trastuzumab), 4, 5, 69, 76, 77, 101, 103, 114

Heywood, Ben and Jamie, 127 high drug prices, 147

high-level unity, 180

high-price/high-value product, 156 high-price/low-value product, 156

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high-value data, 225 Hill, Colin, 222

HIPAA (Health Insurance Portability and Accountability Act), 86, 200, 207, 208

hospitalizations, 170 hospital rankings, 131

human epidermal growth factor receptor 2 (HER2), 70

Human Genome Project, 3 Humira (adalimumab), 113

hypertension management program, 137 IBM, 3, 6, 8, 9, 12, 13, 15–17, 21, 22, 49,

85, 197, 199, 227, 233 developed apps, 16

IBM Watson, 9, 49, 197, 233 Icahn Institute for Genomics and

Multiscale Biology, 218 ICarbonX, 128

Illumina, 21, 84, 91, 227 Immunotherapeutics, 52 incentives, 88

Incivek (telaprevir), 129 Incyte, 107

indication-specific pricing, 166 information technology (IT), 85 infotech companies

customer/end user, 10 economics, 10 product or service, 10 technology, 10 validation, 10 inhaler, 97

initial public offerings (IPOs), 29 US and European biotechnology, 29 innovation, 145, 147, 152, 159, 186,

197, 218 partnership, 200

Institute for Clinical and Economic Review (ICER), 165, 166

insulin autoinjector, 120 insulin pump, 12

intellectual property, 51, 63 intelligent supply chain, 202

InterMountain Healthcare, 73, 74, 178, 206

Internet of Things (IoT) devices, 219 investment, 29, 34, 146, 201, 209, 225,

234, 237. see also potential investor

bankers, 40 Google, 20 in Aurora, 209 in digital health, 22 joint, 19

minority, 58 return on, 234 rising, 95

traditional model, 35 venture, 14

Invokana (canagliflozin), 115 IPO

investors types, 38

dedicated specialist investment funds, 38

generalist investors, 38 journey, 39

shares offered, 38

Iressa (gefitinib), 76–79, 163, 164 Jakafi (ruxolitinib), 126

Janssen, 52, 88, 118, 123, 128, 187 Janumet (sita-metformin), 203 Januvia (sitagliptin), 110, 111, 203 Japan

direct and indirect price controls, 151, 152

generic reimbursement prices, 151 Jardiance (empagliflozin)

Johns Hopkins, 14, 15, 21, 54, 212

Johnson & Johnson, 8, 19, 51, 115 joint steering committee (JSC),

63

joint ventures (JVs), 58 JSC. see joint steering committee

(JSC)

Jumpstart Our Business Startups (JOBS) Act, 40–41

Juntado, Ryan, 86

Juvenile Diabetes Research Foundation (JDRF), 124

JVs. see joint ventures (JVs)

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Kaiser Permanente, 74, 174, 178, 206 Kalydeco (ivacaftor), 42, 70, 96, 104,

128, 209

key account managers (KAMs), 111 key opinion leaders (KOLs), 102 Keytruda (pembrolizumab), 77, 78, 106, 107 killer app, 13

Lantus (insulin glargine), 203 launch strategies, 95, 105, 112, 113 Leukemia and Lymphoma

Foundation, 199 leverage, 174

big data, 225

data’s four vectors, enabling tools to, 220

Lilly, 4, 88, 105, 109, 114, 115, 190, 203 Lipitor (atorvastatin), 104, 105

liquid biopsy, 91 loan products, 37 Longman, Roger, 175

low-density lipoprotein(LDL), 104 low-level fragmentation, 180 low-price/high-value product, 156 low-price/low-value product, 156, 157 machine learning, 216, 222

causal, 223

management teams, 219 Managing the 360, 133 Maraganore, John, 26 market intelligence, 100 market research, 100 Massachusetts Institute of

Technology, 170 Mathers, Ed, 24

Mayo Clinic, 6, 13, 18, 22, 73, 110, 131, 134, 197, 206, 211

Mazzei, Chris, 239 MDLive, 202, 211 Medicaid, 152

prices, 161 programs, 152 medical

apps, 75 benefits, 173 needs, 24

medical science liaisons (MSLs), 102, 111 Medicare, 131, 152, 162, 173, 189 Medidata Solutions, 221

Medscape Professional Network, 210 Medtronic, 6, 12, 15, 16, 18, 204 Memorial Sloan Kettering’s Drug

Abacus, 181

Merck, 4, 12, 21, 49, 56, 77, 78, 96, 104, 106, 107, 110, 111, 114, 123, 127, 128, 138, 145, 165, 191, 203, 209, 222

Merck Manual, 111, 203, 209 metabolome, 72

Mevacor (lovastatin), 104 M2Gen, 128, 199 microbiome, 83 Microsoft’s Cloud, 21 Miller, Steve, 164 Miller, Tom, 91 mining metadata, 232 mobile

appointment scheduling, 133

electrocardiogram (ECG) device, 8, 12 medical device, 12

technologies, 215

mobile health (mHealth), 8, 90, 200 evolution of, 11

Mount Sinai, 17, 54, 199, 200, 218 MSLs. see medical science liaisons (MSLs) multi-omics analysis, 83–84

multichannel communications, 109–110 multidisciplinary practice units, 167 multiple forces, 217

multiple myeloma, 85, 95, 99, 181 multiple sclerosis, 75, 98, 128, 199,

207

myelodysplastic syndrome (MDS), 99, 140

Myozyme (alglucosidase alfa), 103 Nadauld, Lincoln, 74

National Academy of Medicine (NAM), 123 National Cancer Institute, 206 National Comprehensive Cancer

Network’s Evidence Blocks, 181

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National Health Insurance (NHI), 152 National Health Service (NHS), 85, 118,

131, 164, 180, 206

National Health Technology Assessment (HTA) agencies, 180 National Institutes of Health (NIH)

research, 3, 84, 124

National Quality Forum (NQF), 128, 199 natural language, 216

Netflix, 231

Neupogen (filgrastim), 113 new drug

and data analytics, 226 and price-sensitive therapy, 191 applicationfiling, 12

distribution platforms, 229 positioning, 114

prelaunch sales expectations, 230 time to discover and develop, 48 new market, 33, 114

and payer power, 175

force increase payer power, 175 science, 98, 99

next-generation sequencing, 74 nondilutive capital, 31

nongovernment US payers, 174

non-small cell lung cancer (NSCLC), 106, 107

Novartis, 4, 6, 14, 19, 22, 49, 56, 60, 70, 83, 109, 114, 116, 128, 164, 181, 190, 200, 213, 227 Novo Nordisk, 105, 110, 111, 120, 124,

203, 213

nurse-staffed call centers, 137

observational studies, 97, 102, 124, 129 off-label therapy, 73

Omada Health, 14, 136, 200 Omnitrope, 116, 117 OnePath program, 134 online discussions sites, 129 online healthcare information, 8 online patient communities, 127

PatientsLikeMe, 9, 102, 121, 127, 207, 208, 213, 215

Online shopping, for health plans, 176

Opdivo (nivolumab), 77, 78, 106, 107, 109

open innovation strategies, 51 alliances with academia, 51 alliances with external venture

groups, 51 crowdsourcing, 51 innovation hubs, 51 open-label studies, 96

optimized customer penetration, 115–116 O’Reilly, Michael, 13

Organisation for Economic Co-operation and Development, 147 organizational barriers, 238 organizational structures, 219 Orkambi (lumacaftor/ivacaftor), 42, 70 Orphan Drug Act, 96, 125

Orphan Medicinal Products Committee, 121 Oscar Health, 212

OSE Immunotherapeutics, 52 Otsuka, 12

outcome-based

partnerships, 170, 171 pricing experiments, 170 reimbursement, 164 over-the-counter drugs, 108 Parkinson’s disease, 49, 199 Partners Healthcare, 128, 212 patent protection, 116–117 patient

adherence, 110 centric ecosystem, 135 engagement, 73

initiatives, 130 metrics, 140–142

engagement tools, impact of, 133 friendly delivery systems, 120 identification, 125

insight research, 124–125 management, 80 registries, 127 satisfaction, 131

ratings, 131–132 value pathway

diabetes case, 141

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Patient Access and Engagement Report, 132

patient advocacy, 41, 60, 87, 112, 120, 122, 134, 138, 143, 155 patient centricity, 49, 70, 73, 120–122,

129, 138, 141–143, 167, 189, 204, 217

crowdsourcing initiatives, 124 drivers and barriers, 121–122 forces impacting, 122 framework, 121

organization models, 142–143 structure options, 143 organizing for, 138–140

points of care, connecting, 130–135 engagement, biopharma initiatives

for, 134–135

patient satisfaction ratings, 131–132 physician/patient dynamics,

132–134

strategies in R & D, 129–130 patient engagement, 21, 44, 73, 90, 120,

123, 124, 130, 132, 133, 138, 140, 144

metrics, 140, 144

Patient Focused Medicines Development Initiative (PFMD), 123 patient journey, 135–138

adherence strategies, 137–138 behavior, drivers and barriers

of, 136–137 follow-up surveillance, 135

patient key opinion leaders (KOLs), 120 patient-friendly clinical trials

designing, 125–130

patient-reported outcomes (PRO), 90, 97, 122, 124, 126–130, 135, 143, 144, 205, 213

rare disease trials, 125 trial recruitment and

retention, 125–126

patient-reported outcomes (PROs), 90, 124

comparative drug effectiveness, 126 PatientsLikeMe, 9, 102, 121, 127–129,

207, 208, 213, 215 alliance strategy, 128

business model evolution, 128 challenges, 129

competitive dynamics, 128 disease-specific registries, 127 focus vs. scale, 129

grants, 128

health data platform, as, 127 partnerships, 128

patient forum to personalized health platform, 127–129

patient-centric care decisions, 127 trial optimization, role in, 127 virtual trials, 127

PatientsLikeMe website, 9

pay-for-performance arrangement, 161 payer engagement strategies, 182–185

geospatial mapping tools, 183 information technology (IT)

infrastructure, 183

mapping payers based on behaviors and preferences, 184

strategic payer segmentation and engagement, 184 payer segmentation, 176

payer-driven patient segmentation, 87 Pehl, Michael, 98

performance-based agreements (PBAs), 164 personalized care manager, 134

Pfizer, 51, 58, 83, 97, 104, 106, 108, 109, 114, 117, 118, 123, 166, 199, 201, 205, 209

pharma-biotech alliance, 59 pharmacodynamic marker, 99 Pharmacovigilance Risk Assessment

Committee, 121

pharmacy benefit managers (PBMs), 162, 174, 179

drug costs consideration in isolation, 179 problem, 179 profitability, 177 Physician Compare, 208 physician digital trends, 210 physician ratings, 208 platinum glucose sensor, 12 Plavix (clopidogrel), 114

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P-medicine, 72 point-of-care tools, 137 policymakers, 87, 169 pollution-eating bacteria, 5 Pompe disease, 103

portfolio diversification, 113–114 postmarketing surveillance, 6, 128 potential investor

factors affecting, 37 fund age, 37 future rounds, 37 investment philosophy, 37 relevant experience, 37 Pothier, Kristin, 87

Praluent (alirocumab), 61, 73, 153, 190 pre-digital age, 216

precision genomics, for cancer, 74–75 precision marketing, 94, 101

strategy, 95

precision medicine, 6, 69, 70, 94 alliances in, 50

biopharma’s engagement, 89 commercial challenges, 81–83 data collection, 86

diagnostic-driven, 79 focused start-ups, 91 forces driving, 76 genomics-driven, 74 in practice, 75–78

infrastructure challenges, 80–81 molecular-driven, 71, 90 regulatory challenges, 81

scientific and clinical challenges, 80 stakeholder expansion in, 86–87 targeted prevention strategies, 91 Precision Medicine Initiative, 71, 124 predictive biomarkers, 80

preferred stock, 35–36 Premera Blue Cross, 207 premiums, 152, 176, 179, 224 prescription drugs, 94, 108

DTC advertising of, 109 spending, in US, 94 prescriptive analytics, 224 price

concessions, 152 control, 152

flexibility

attributes determining, 158 product factors determine, 158, 159 models, 160, 161

regulations, in major markets, 149 sensitivity, 152

strategy, 157

new, deployment of, 163, 164 setting, 157

private insurance, 146 product

attributes stakeholders prioritize, 154 development, 98, 215

efficacy and safety, 153 pricingflexibility, 150 pricing strategy, 153, 165 safety, 217

unproven real-world value at launch, 153, 156 professional lifestyle coaches, 136 progression-free survival (PFS), 106 Prolia (denosumab), 103

promotion, 59, 107, 109, 110, 114, 134, 135, 154, 203

PROs. see patient-reported outcomes (PROs)

Proscar (finasteride), 114 protein coding regions, 226 proteome, 72, 83

Proteus Digital Health, 12, 197 providers, 178

financial accountability, 178 financially at-risk, 178 vertical integration, 178 public

financing market, 29 health crisis, 146 health systems, 146 private partnership, 84 Qualcomm

life ecosystem, 15

three lines of business, 14–15 licensing and acquisitions, 15 platforms, 14

venture investments, 14 Qualcomm Ventures, 14, 15, 200

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quality of life, 97, 115, 124, 126, 138, 153, 154, 203, 217

quantified self, 122, 235 QuintilesIMS, 233

radio frequency identification, 200 RAND team, 170

rare diseases, 27, 32, 95, 102, 111, 116, 120, 122, 124–126, 128, 129, 140, 144, 169, 170, 198, 199, 208, 209, 213, 227

R & D programs, 216 real-time data, 215, 216 real-time intelligence, 21 real-world data, 218, 219, 230 real-world evidence, 7, 102, 107, 112,

117, 118, 122, 126, 130, 146, 162, 199, 203, 217, 227, 230, 231, 233, 234

real-world value, 218 red biotech, 5

redistributing reimbursement risk, 163 reference pricing decisions, 151 Regeneron Genetics Center (RGC),

227

regional health systems, 174 regional price bands, 159 Reid, Jeffery, 221 reimbursement, 153

delays, 165

Remicade (infliximab), 52, 118 remote monitoring, 132

patient portals, role of, 132 Repatha (evolocumab), 73, 153, 164 ResearchKit software, 6

Revlimid (lenalidomide), 95, 107 rheumatoid arthritis (RA), 222 risk-sharing agreements, 90, 161 Rituxan (rituximab), 4, 5, 76, 103 RNA interference (RNAi)

technologies, 26 Robert Wood Johnson Foundation

(RWJF), 128

Roche, 4, 49, 60–62, 72, 76, 77, 79, 88, 97, 103, 107, 114, 222 Roche-Genentech relationship,

61, 62

Sage Bionetworks, 140 salesforce strategies, 111–113 Samsung, 12, 15, 49, 197, 206 Sandoz, 113, 116, 117

Sanofi, 6, 18, 19, 49, 60–62, 84, 97, 103, 105, 114, 117, 120, 125, 126, 138, 143, 166, 190, 203, 204, 209

Sanofi digital portfolio in diabetes, 204 Sanofi Genzyme, 103

Sanofi-Regeneron alliance, 61–62 Sarbanes-Oxley Act, 41

Schadt, Eric, 218 Schleifer, Len, 160 scientific innovation, 145 scientific wellness, 11

segmentation (consumer, physician segments), 102

semiautonomous payer committees, 180 sequencing technology, 227

shared decision making (SDM), 132 shareholders, 27, 31, 35, 39, 44, 60 sharing data, 226

Shaywitz, David, 220 Sherman, Michael, 190 Shire, 124, 125, 134, 209

single payment access (SPA) scheme, 164 Small Business Innovation Research

(SBIR) program, 34 small data, 219

smartphones, 206

social content risk assessment, 209 social media, 8, 9, 14, 18, 96, 97, 112, 128,

129, 131, 135, 142, 145, 146, 197, 199, 200, 205, 206, 208, 209, 215, 217, 219, 220, 228, 232 from insight mining to co-creating,

208–210 interactions, 219 sites, 145

Sovaldi (sofosbuvir), 94, 105, 153, 161, 163, 164, 169

specialty drugs, 95 high-priced, 94, 175 report, spending on, 95 specialty pharma companies, 47 specialty therapies, 95

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Spence, Pamela, 225 Spritam (levetiracetam), 201 Sprycel (dasatinib), 76 stakeholders, 216, 225

start-up biotech companies, 34, 37 statistical analysis, 170

step-therapy, 73 strategic alliances, 50–51

deal terms, 62 exclusivity, 63 financial terms, 63 governance and dispute

resolution, 63 intellectual property, 63 responsibilities, 62 scope, 62

term and termination, 63 dealing for, 56–65

mission and objectives, 57–58 monitoring results and

learning, 64–65 partner selection, 56–57 structure, 58–62

in US and Europe, 2006–2016, 59 process, 56

strategic payer engagement, 192, 193 structured data, 219

super-consumers, 217

supply chain, 7, 49, 198, 200, 201, 227, 229, 241

surgery, insurer offering medical coverage, 174 sustainability strategies, 113–118

addressing challenge of biosimilars, 117, 118 building the market, 115 franchise building, 113, 114 mature strategy, 115

portfolio diversification, 113, 114 renewal strategies, 116, 117 Tagrisso (osimertinib), 70, 76

vs. Iressa (gefitinib), 78 Tarceva (erlotinib), 76, 77

target product profiles (TPPs), 98, 112 targeted

cancer drugs, 69, 103

medicines, 69–71, 77 therapies, 70, 74, 76, 107 taxpayer-funded national, 174 Tecentriq (atezolizumab), 107 technographics, 95, 102, 103, 118 Teladoc, 210, 212

telehealth, 210

scope of services, 211

telemedicine, effectiveness of, 212 therapeutic innovations, 98 time-based bundled payment

approach, 169 tools

analytics, 239, 240 Cloud-based analytics, 9 digital, 73, 112, 146, 172, 231 for outcomes-data capture, 170, 171 geospatial mapping, 183

interactive, 106 predictive, 102 visual, 224

Toujeo (high-concentration glargine), 203

TPPs. see target product profiles (TPPs)

traditional

financing model, 32

pharma pricing practices under pressure, 148 Tradjenta (linagliptin), 115

transatlantic disparity, drug pricing, 146 transcriptome, 72, 83

transportation industries, 215 true non-dilutive capital, 31 tumor biomarkers, 80 tumor characterization, 75 Twitter, 208, 215, 232 tyrosine kinase

Bcr-Abl gene coding, 4 inhibitor aflibercept, 166 UCB, 51, 123, 124, 128, 138 UK’s National Institute for Health and

Care Excellence (NICE), 180 undisclosed discounts, 147

unit-based pricing methodology, 147 United Healthcare, 20, 86, 212

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United States

adopt European-style cost-effectiveness hurdles, 181, 182

Affordable Care Act (ACA), creating new kinds of payers,

176–178 employers, 179, 180 providers, 178

and European biotechnology capital raised, 30

initial public offerings (IPOs), 29 drug pricing, 162, 163

drug valuation tools, 155 financing market, 33

Food and Drug Administration (FDA), 147

payer

Europe, governments, 174 key types, 174

nongovernment, 174

offer prescription drug coverage to, 173

operate in isolation, 174

prescription drug coverage to citizens qualify for Medicare, 173 prioritizing value to control drug

costs, 152, 153 reimbursement, 152 UnitedHealthcare

bundled payment program in oncology, 169 commercial insurers, 174 University of Washington, 160 unstructured data, 219, 221, 224

health, 216

urgency in payer community, 167 Value Labs, 165

value leakages, 141 value-added services, 112 value-based contracts, 164

work, 164

value-based healthcare, 73 value-based reimbursement, 165 value-creating event, 32

value-focused price not enough for Entresto, 182

Venter, J. Craig, 3, 84

venture capital-backed companies, 30 venture capitalists, 36, 60

venture philanthropy

Cystic Fibrosis Foundation (CFF), 42, 122, 128, 209

model, 209

Vertex pharmaceuticals, 42 Verb Surgical, 19

Verily, 6, 17–20, 22, 49, 84, 85, 125 Vertex, 25, 42, 70, 96, 122, 128, 129,

209

Veterans Health Administration (VA), 212

Viagra (sildenafil), 114, 166 Victoza (liraglutide), 110, 111, 203 Vioxx (rofecoxib), 96

virgin territory, 166 voting equity securities, 31 Walgreens, 202, 211 Wang, Jun, 128 Watson, James, 3, 17

wearables, 11, 14, 76, 83, 84, 90, 122, 128, 130, 133, 135, 137, 144, 199, 206

biosensors, 122 sensors, 72, 74

WebMD, 130, 202, 208, 211 Welldoc, 8, 12

white biotechnology, 5 whole genome sequencing, 86 Wilkins, Maurice, 3, 4 Witty, Andrew, 186

World Health Organization (WHO), 8 Xalkori (crizotinib), 106

X-ray crystallography, 3 YouTube, 101, 210, 228, 232 Zarxio, 113, 117

Zocor (simvastatin), 104

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(17)
(18)

References

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