“Medical Matchmaking” provides personalized insights

Curated on Posted on by Stefaan Verhulst

Matthew Hempstead at Springwise: “Humanity is a collection of unique individuals who represent a complex mixture of medical realities. Yet traditional medicine is based on a ‘law of averages’ – treating patients based on generalisations about the population as a whole. This law of averages can be misleading, and in a world where the average American spends 52 hours looking for health information online each year, generalisations create misunderstandings. Information provided by ‘Dr. Google’ or Facebook is inadequate and doesn’t account for the specific characteristics of each individual.

Israeli startup Alike has come up with a novel multidisciplinary solution to this problem – using health data and machine learning to match people who are alike on a holistic level. The AI’s matchmaking takes into account considerations such as co-morbidities, lifestyle factors, age, and gender.

Patients are then put into contact with an anonymised community of ‘Alikes’ – people who share their exact clinical journey, lifestyle, and interests. Members of this community can share or receive relevant and personalised insights that help them to better manage their conditions.

The new technology is possible due to regulatory changes that make it possible for everyone to gain instant electronic access to their personal health records. The app allows users to automatically create a health profile through a direct connection with their health provider.

Given the sensitive nature of medical information, Alike has put in place stringent privacy controls. The data shared on the app is completely de-identified, which means all personal identifiers are removed. Every user is verified by their healthcare provider, and further measures including data encryption and data fuzzing are employed. This means that patients can benefit from the insights of other patients while maintaining their privacy…(More)”.

The #Data4Covid19 Review

Curated on Posted on by Stefaan Verhulst

Press Release: “The Governance Lab (The GovLab), an action research center at New York University Tandon School of Engineering, with the support of the Knight Foundation, today announced the launch of The #Data4Covid19 Review. Through this initiative, The GovLab will evaluate how select countries used data to respond to the COVID-19 pandemic. The findings will be used to identify lessons that can be applied to future data-driven crisis management.

The initiative launches within the context of the 2nd anniversary of the announcement that COVID-19 was a global pandemic and the resulting lockdown restrictions. Countries around the world have since undertaken varied approaches to minimizing the spread of the virus and managing the aftermath. Many of these efforts are driven by data. While the COVID-19 pandemic continues to be a global challenge, there have been few attempts to review and evaluate how data use played a role holistically in the global pandemic response.

The #Data4Covid19 Review aims to fill this gap in the current research by providing an assessment of how data was used during the different waves of the pandemic and guidance for the improvement of future data systems. The GovLab will develop case studies and compare a select group of countries from around the world, with the input and support of a distinguished advisory group of public health, technology, and human rights experts. These case studies will investigate how data use impacted COVID-19 responses. Outputs will include recommendations for decision makers looking to improve their capacity to use data in a responsible way for crisis management and an assessment framework that could be used when designing future data-driven crisis responses. By learning from our response to the pandemic, we can better understand how the use of data should be used in crisis management…(More)”.

Tracking symptoms of respiratory diseases online can give a picture of community health

Curated on Posted on by Stefaan Verhulst

Article by Mvuyo Makhasi, Cheryl Cohen and Sibongile Walaza: “Participatory surveillance has not yet been implemented in African countries. There has only ever been one pilot study, in Tanzania. In 2016, a pilot study of a mobile app called AfyaData was implemented for participatory surveillance in Tanzania. The aim was to establish a platform where members of the community could report any symptoms they encountered. Based on the clinical data provided these would be grouped into categories of diseases. In the pilot study most of the reported cases were related to the digestive system. The second most frequently reported cases were related to the respiratory system. This demonstrated the potential of obtaining close to real-time data on diseases directly from the community….

Participatory surveillance is in place in 11 European countries that form part of the InfluenzaNet network. Here it’s been shown to address some of the limitations of traditional facility-based systems. For example, it can detect the start of the flu season up to two weeks earlier than traditional facility-based surveillance. This allows public health officials to plan and respond earlier to seasonal outbreaks.

Self-reporting systems provide similar and complementary data to facility-based surveillance. They show:

  • variations over time in cases of acute respiratory tract infection
  • time to peak of incidence of acute cases
  • the peak intensity of acute cases
  • a comparison between participatory and facility-based surveillance trends.

The same analysis can now be done for COVID-19 cases, which were previously not included in participatory surveillance platforms.

The systems enable analysis of health-seeking behaviour in people who don’t see a doctor or nurse. For example, people may use home-based remedies, search for guidelines on the internet or consult traditional healers. Health-seeking surveys are often conducted in research studies for a defined period of time, but data is not routinely collected. Participatory surveillance is a longitudinal and systematic way of collecting information about health-seeking behaviour related to respiratory diseases.

Vaccine effectiveness estimates can also be determined through participatory surveillance data. This includes vaccine coverage for seasonal influenza and COVID-19 and information on how these vaccines perform in preventing illness. These data can be compared with vaccine effectiveness estimates from facility-based surveillance…(More)”.

Commit to transparent COVID data until the WHO declares the pandemic is over

Curated on Posted on by Stefaan Verhulst

Edouard Mathieu at Nature: “…There are huge inequalities in data reporting around the world. Most of my time over the past two years has been spent digging through official websites and social-media accounts of hundreds of governments and health authorities. Some governments still report official statistics in low-resolution images on Facebook or infrequent press conferences on YouTube — often because they lack resources to do better. Some countries, including China and Iran, have provided no files at all.

Sometimes, it’s a lack of awareness: government officials might think that a topline figure somewhere in a press release is sufficient. Sometimes, the problem is reluctance: publishing the first file would mean a flood of requests for more data that authorities can’t or won’t publish.

Some governments rushed to launch pandemic dashboards, often built as one-off jobs by hired contractors. Civil servants couldn’t upgrade them as the pandemic shifted and new metrics and charts became more relevant. I started building our global data set on COVID-19 vaccinations in 2021, but many governments didn’t supply data for weeks — sometimes months — after roll-outs because their dashboards couldn’t accommodate the data. Worse, they rarely supplied underlying data essential for others to download and produce their own analyses. (My team asked repeatedly.)

Over and over, I’ve seen governments emphasize making dashboards look good when the priority should be making data available. A simple text file would do. After all, research groups like mine and citizens with expertise in data-visualization tools are more than willing to create a useful website or mobile app. But to do so, we need the raw material in a machine-readable format….(More)”.

End the State Monopoly on Facts

Curated on Posted on by Stefaan Verhulst

Essay by Adam J. White: “…This Covid-era dynamic has accelerated broader trends toward the consolidation of informational power among a few centralized authorities. And it has further deformed the loose set of institutions and norms that Jonathan Rauch, in a 2018 National Affairs article, identified as Western civilization’s “constitution of knowledge.” This is an arrangement in science, journalism, and the courts in which “any hypothesis can be floated” but “can join reality only insofar as it persuades people after withstanding vigorous questioning and criticism.” The more that Americans delegate the hard work of developing and distributing information to a small number of regulatory institutions, the less capable we all will be of correcting the system’s mistakes — and the more likely the system will be to make mistakes in the first place.

In a 1999 law review article, Timur Kuran and Cass Sunstein warned of availability cascades, a process in which activists promote factual assertions and narratives that in a self-reinforcing dynamic become more plausible the more widely available they are, and can eventually overwhelm the public’s perception. The Covid-19 era has been marked by the opposite problem: unavailability cascades, in which media institutions and social media platforms swiftly erase disfavored narratives and dissenting contentions from the marketplace of ideas, making them seem implausible by their near unavailability. Such cascades occur because legacy media and social media platforms have come to rely overwhelmingly, even exclusively, on federal regulatory agencies’ factual assertions and the pronouncements of a small handful of other favored institutions, such as the World Health Organization, as the gold standard of facts. But availability and unavailability cascades, even when intended in good faith to prevent the spread of disinformation among the public, risk misinforming the very people they purport to inform. A more diverse and vibrant ecosystem of informational institutions would disincentivize the platforms’ and media’s reflexive, cascading reactions to dissenting views.

This second problem — the concentration of informational power — exacerbates the first one: how to counterbalance the executive branch’s power after an emergency. In order for Congress, the courts, and other governing institutions to reassert their own constitutional roles after the initial weeks and months of crisis, they (and the public) need credible sources of information outside the administration itself. An informational ecosystem not overweighted so heavily toward administrative agencies, one that benefits more from the independent contributions of experts in universities, think tanks, journalism, and other public and private institutions, would improve the quality of information that it produces. It would also be less susceptible to the reflexively partisan skepticism that has become endemic in the polarization of modern president-centric government…(More)”.

Data saves lives: reshaping health and social care with data

Curated on Posted on by Stefaan Verhulst

UK Department of Health and Social Care: “In England and in every community around the world, digital developments have been essential to the pandemic response. People have accessed advice and care remotely in unprecedented numbers, helping keep them and their families safe. World class genomics helped identify and track new variants. Daily analysis allowed problems to be understood rapidly, and resources redeployed. Staff worked remotely. And the COVID-19 vaccination service was mobilised in record time.

Such an efficient and effective response was only possible because of investment in digital systems, innovation and skills over the last few years, and the partnerships forged between digital, clinical and operational colleagues.

The opportunity now is for the health and care sector to apply such approaches with increased urgency and consistency to both our long-term challenges and to the immediate tasks of rebuilding from the pandemic. We have a responsibility to do both.

The Digital Transformation Plan sets out the overarching vision for how we will digitise, connect and transform the health and care sector. This data strategy explains in more detail the role that data will play in that transformation and how it can inspire effective collaboration across the NHS, adult social care, and public health, help us care for people in the best possible way, and ensuring that our citizens have the best experience possible when using the system.

There are 3 key priorities which underpin this strategy:

  • first to build understanding on how data is used and the potential for data-driven innovation, improving transparency so the public has control over how we are using their data
  • second to make appropriate data sharing the norm and not the exception across health, adult social care and public health, to provide the best care possible to the citizens we serve, and to support staff throughout the health and care system
  • third to build the right foundations – technical, legal, regulatory – to make that possible…(More)”.

A 680,000-person megastudy of nudges to encourage vaccination in pharmacies

Curated on Posted on by Stefaan Verhulst

Paper by Katherine L. Milkman et al: “Encouraging vaccination is a pressing policy problem. To assess whether text-based reminders can encourage pharmacy vaccination and what kinds of messages work best, we conducted a megastudy. We randomly assigned 689,693 Walmart pharmacy patients to receive one of 22 different text reminders using a variety of different behavioral science principles to nudge flu vaccination or to a business-as-usual control condition that received no messages. We found that the reminder texts that we tested increased pharmacy vaccination rates by an average of 2.0 percentage points, or 6.8%, over a 3-mo follow-up period. The most-effective messages reminded patients that a flu shot was waiting for them and delivered reminders on multiple days. The top-performing intervention included two texts delivered 3 d apart and communicated to patients that a vaccine was “waiting for you.” Neither experts nor lay people anticipated that this would be the best-performing treatment, underscoring the value of simultaneously testing many different nudges in a highly powered megastudy….(More)”.

How NFTs could transform health information exchange

Curated on Posted on by Stefaan Verhulst

Paper by Kristin Kostick-Quenet et al: “Personal (sometimes called “protected”) health information (PHI) is highly valued and will become centrally important as big data and machine learning move to the forefront of health care and translational research. The current health information exchange (HIE) market is dominated by commercial and (to a lesser extent) not-for-profit entities and typically excludes patients. This can serve to undermine trust and create incentives for sharing data. Patients have limited agency in deciding which of their data is shared, with whom, and under what conditions. Within this context, new forms of digital ownership can inspire a digital marketplace for patient-controlled health data. We argue that nonfungible tokens (NFTs) or NFT-like frameworks can help incentivize a more democratized, transparent, and efficient system for HIE in which patients participate in decisions about how and with whom their PHI is shared…(More)”.

COVID’s lesson for governments? Don’t cherry-pick advice, synthesize it

Curated on Posted on by Stefaan Verhulst

Essay by Geoff Mulgan: “Too many national leaders get good guidance yet make poor decisions…Handling complex scientific issues in government is never easy — especially during a crisis, when uncertainty is high, stakes are huge and information is changing fast. But for some of the nations that have fared the worst in the COVID-19 pandemic, there’s a striking imbalance between the scientific advice available and the capacity to make sense of it. Some advice is ignored because it’s politically infeasible or unpragmatic. Nonetheless, much good scientific input has fallen aside because there’s no means to pick it up.

Part of the problem has been a failure of synthesis — the ability to combine insights and transcend disciplinary boundaries. Creating better syntheses should be a governmental priority as the crisis moves into a new phase….

Input from evidence synthesis is crucial for policymaking. But the capacity of governments to absorb such evidence is limited, and syntheses for decisions must go much further in terms of transparently incorporating assessments of political or practical feasibility, implementation, benefits and cost, among many other factors. The gap between input and absorption is glaring.

I’ve addressed teams in the UK prime minister’s office, the European Commission and the German Chancellery about this issue. In responding to the pandemic, some countries (including France and the United Kingdom) have tried to look at epidemiological models alongside economic ones, but none has modelled the social or psychological effects of different policy choices, and none would claim to have achieved a truly synthetic approach.

There are dozens of good examples of holistic thinking and action: programmes to improve public health in Finland, cut UK street homelessness, reduce poverty in China. But for many governments, the capacity to see things in the round has waned over the past decade. The financial crisis of 2007 and then populism both shortened governments’ time horizons for planning and policy in the United States and Europe….

The worst governments rely on intuition. But even the best resort to simple heuristics — for example, that it’s best to act fast, or that prioritizing health is also good for the economy. This was certainly true in 2020 and 2021. But that might change with higher vaccination and immunity rates.

What would it mean to transcend simple heuristics and achieve a truly synthetic approach? It would involve mapping and ranking relevant factors (from potential impacts on hospital capacity to the long-run effects of isolation); using formal and informal models to capture feedbacks, trade-offs and synergies; and more creative work to shape options.

Usually, such work is best done by teams that encompass breadth and depth, disparate disciplines, diverse perspectives and both officials and outsiders. Good examples include Singapore’s Strategy Group (and Centre for Strategic Futures), which helps the country to execute sophisticated plans on anything from cybercrime to climate resilience. But most big countries, despite having large bureaucracies, lack comparable teams…(More)”.

Suicide hotline shares data with for-profit spinoff, raising ethical questions

Curated on Posted on by Stefaan Verhulst

Alexandra Levine at Politico: “Crisis Text Line is one of the world’s most prominent mental health support lines, a tech-driven nonprofit that uses big data and artificial intelligence to help people cope with traumas such as self-harm, emotional abuse and thoughts of suicide.

But the data the charity collects from its online text conversations with people in their darkest moments does not end there: The organization’s for-profit spinoff uses a sliced and repackaged version of that information to create and market customer service software.

Crisis Text Line says any data it shares with that company, Loris.ai, has been wholly “anonymized,” stripped of any details that could be used to identify people who contacted the helpline in distress. Both entities say their goal is to improve the world — in Loris’ case, by making “customer support more human, empathetic, and scalable.”

In turn, Loris has pledged to share some of its revenue with Crisis Text Line. The nonprofit also holds an ownership stake in the company, and the two entities shared the same CEO for at least a year and a half. The two call their relationship a model for how commercial enterprises can help charitable endeavors thrive…(More).”