Platforms, a business model (4)

 The Digital Platforms Handbook. How to transform any business into a digital platform and thrive in the digital age

Bioethics for lab medicine

 Ethics for Laboratory Medicine

Key issues:

Table 1.Ethical Issues of particular importance in Laboratory medicine.

Informed consent 

Use of leftover specimens 

Biobanking 

Genetic testing 

Equity and access to laboratory testing 

Incidental findings and medically actionable results 

DTC testing 

Transfusion medicine and religious or ethical restrictions 

Disclosing medical error 

Emerging infectious diseases 

Test utilization 

The unique role of laboratorians, who care for patients but interact mainly with their samples rather than the person, creates distinct ethical dilemmas. In addition, laboratories function as critical parts of complex health systems, and the interaction of the laboratory with the greater healthcare system creates additional points of ethical friction (45). Clinical laboratory professionals are ethically bound to use our voices to advocate for excellence in patient care in the realms of respect for persons, beneficence, and justice, even in the face of technological, administrative, and, perhaps, clinical pressures to do otherwise.

Ethics represents moral principles based on cultural norms and values. Sometimes these moral values have been turned into federal or state laws or into local rules and regulations. However, laws and rules may be absent or difficult to apply to a given situation. When faced with ethical decisions, laboratorians should seek the input from other clinicians and laboratory colleagues. In addition, most hospitals have ethics boards comprising multidisciplinary teams of clinicians, lay people, and clergy to help guide decision-making.

 

Choosing how to choose (2)

 The elements of choice: why the way we decide matters 

A book on choice architecture. In the last chapter:

Having looked, throughout this book and in this chapter, at choice architecture, both good and bad, there are three things that we should consider going forward:

Choosers are unaware of the effects of choice architecture and do not respond to warning.

Designers can underestimate the effects of choice architecture.

Choice architecture has a larger effect on the most vulnerable.

If these three statements are true, what should we do? One place to start is educating designers and choosers. The education I have in mind is not just pointing out choice architecture and its effects, but also providing an understanding how it works.

 

Mental health challenges

 Fitter Minds, Fitter Jobs

From Awareness to Change in Integrated Mental Health, Skills and Work Policies

1 What does a mental health-in-all-policies approach look like? 

2 What are current social and labour market outcomes for persons with mental health conditions? 

3 How far have we come in implementing integrated mental health, skills and work policies?

4 What are the implications and lessons of the COVID-19 pandemic for integrated mental health, skills and work policy?

A timely OECD report 5 years after the approval of the Recommendation on Integrated Mental Health, Skills and Work Policy. Unfortunately many countries still have to apply them...

AI everywhere (8)

 AI Assistants

A useful introductory book with this contents:

1 What Is a Virtual Assistant?

2 AI and Machine Learning

3 Speech Recognition

4 Natural Language Understanding

5 Natural Language and Speech Generation

6 The Dialog Manager

7 Interacting with an Assistant

8 Conclusions

 

 

The urgent answer to the coming black box medicine

Black box medicine and transparency

 The series of reports Black Box Medicine and Transparency examines the human interpretability of machine learning in healthcare and research:

1. Machine learning landscape considers the broad question of where machine learning is being (and will be) used in healthcare and research for health 

2. Interpretable machine learning outlines how machine learning can be or may be rendered human interpretable

3. Ethics of transparency and explanation asks why machine learning should be made transparent or be explained, drawing upon the many lessons that the philosophical literature provides

4. Regulating transparency considers if (and to what extent) does the General Data Protection Regulation (GDPR) require machine learning in the context of healthcare and research to be transparent, human interpretable, or explainable

5. Interpretability by design framework distils the findings of the previous reports, providing a framework to think through human interpretability of machine learning in the context of healthcare and health research

6. Roundtables and interviews summarises the three roundtables and eleven interviews that provided the qualitative underpinning of preceding reports 

Each report interlocks, building on the conclusions of preceding reports.

Meanwhile you can start with the executive summary. Does anybody care about it? 

Payment systems during the pandemic

 Balancing financial incentives during COVID-19: A comparison of provider payment adjustments across 20 countries

Key messages:

•Públic payers assumed most of the COVID-19-related financial risk.

•Income loss was not a problem when providers were paid by salary, capitation or budgets.

•Providers paid based on activity were compensated through budgets or higher fees.

•New FFS payments were introduced to incentivize remote services.

•Payments for COVID-19 related costs included new fees, per-diem and DRG tariffs.

 Paolo Gasparini at KBR

Beyond supply and demand economics

 What Students Learn in Economics 101: Time for a Change

On the need for a new perspective in economics education: 

The question thus arises: how do we want students to use the supply and demand apparatus when there may be excess demand or supply in equilibrium—as in the labor or credit markets when lending and hiring is analyzed using a principal–agent model? A Bowles and Carlin: What Students Learn in Economics 101 related question arises in other markets if the out- of-equilibrium rent- seeking behavior of firms and individuals generates significant excursions away from the intersection of the supply and  demand curves determined by economic fundamentals.

Our response is that in many settings “where the supply and demand curves cross” is not the correct answer. Importantly, this does not amount to an abrogation of the “laws of supply and demand” or a reduction in their force. It requires instead that we break away from the benchmark of the intersection of the two curves, either because that intersection may not exist, or may not be where the market is heading as occurs, for example, during a bubble.

I absolutely agree. 

 Currently at KBR

The Dahlgren and Whitehead model 30 years after

 The Dahlgren-Whitehead model of health determinants: 30 years on and still chasing rainbows

From the authors review:

Reflection on the past 30 years has helped us identify where to go from here, to develop the model so that it is adapted to the burning issues of the day. First, we need to find ways to better illustrate the vertical links between the social, economic and cultural determinants of health and those of lifestyle. This is needed to reinforce the point that many lifestyles are structurally determined. There is a  common, flawed assumption that the lifestyles of different socio-economic groups are freely chosen, ignoring the reality that lifestyles are shaped in important ways by the social and economic  environments in which people live.

Second, there is a current debate about the importance of the commercial determinants of health and whether they have been neglected by the public health community, including a critique of these not being given sufficient prominence in the Dahlgren and Whitehead model (Maani et al., 202015). By ‘commercial determinants’, Maani and colleagues refer to factors that adversely influence health, which stems from the profit motive; the examples they give concentrate on the strategies of tobacco, alcohol and food and beverage producers to promote their products. While we acknowledge that the impact of commercial interests should always be analysed, we deliberately do not define ‘commercial interests’ as a determinant in its own right to be included in the  rainbow model. In a rebuttal to Maani and colleagues, we explain how we consider profit-driven commercial interests as ‘driving forces’ that are related to almost all determinants of health except genetic factors.

 

This did not have to be a global pandemic

 spike. THE VIRUS vs THE PEOPLE THE INSIDE STORY

The title of chapter 9 of this book is: "This did not have to be a global pandemic". 

And says,

WHAT IF THE TAPE had run differently? What if those six miners who developed pneumonia after clearing droppings from bat caves in southern China† had been properly investigated? Imagine what could have happened if doctors had traced their infections back to a novel SARS-related corona-virus most commonly seen in bats. What if there had been a global system not only to pick that up, but also to raise an alert that humanity had no immunity against the virus, to immediately share virus samples globally with scientists and to trigger research into putative vaccines and treatments?

None of this is easy: it is a struggle to identify clusters and unmask a completely new pathogen at work. But, equally, none of it is beyond the capability of science.

This is what we desperately need: surveillance in the shadowlands where humans and animals overlap, and specifically when those exchanges are leading to illness. We need to be asking: which viruses in wild and domestic animals are crossing back and forth between humans and animals? How can we spot these perilous cross-species breaches and how should we respond?

The pathogens that keep me awake at night are those against which humanity is defenceless. So, in the next five years, we need to document these gaps in the global human immune landscape. For a decade now, I have been wondering whether seasonal influenza, or winter flu, may not be the viral enemy we think it is, because the world has a degree of protection against many of the strains in the flu family.

A crucial book to understand the origins of the pandemic and what should be done for the next one.

 

Against body commercialism (3)

 Self-Ownership, Property Rights, and the Human Body: A Legal and Philosophical Analysis

Against body commercialism (2)

 Banking on the Body: The Market in Blood, Milk, and Sperm in Modern America

Kara Swanson traces the history of body banks from the nineteenth-century experiments that discovered therapeutic uses for body products to twenty-first-century websites that facilitate a thriving global exchange.

Against body commercialism

 De la solidaridad al mercado. El cuerpo humano y el comercio biotecnológico

AI everywhere (7)

 Machine Learning and AI for Healthcare. Big Data for Improved Health Outcomes