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Ryan Chen

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In the earlier parts of this five-part Delve blog post series, we covered two paradigm shifts and their implications for companies that design and manufacture healthcare products.

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Here are the trends in the series:

<ul><ul><li><a href="https://www.delve.com/insights/how-to-design-the-healthcare-products-of-the-future-part-1-everyday-wellness" target="_blank">Part 1: Everyday Wellness</a></li><li><a href="https://www.delve.com/insights/how-to-design-the-healthcare-products-of-the-future-part-2-empathic-care" target="_blank">Part 2: Empathic Care</a></li><li><a href="https://www.delve.com/insights/how-to-design-the-healthcare-products-of-the-future-part-3-data-informed-personalization">Part 3: Data-Informed Personalization</a></li><li><a href="https://www.delve.com/insights/how-to-design-the-healthcare-products-of-the-future-part-4-anytime-anywhere">Part 4: Anytime, Anywhere</a></li><li><a href="https://www.delve.com/insights/how-to-design-the-healthcare-products-of-the-future-part-5-seamless-integration">Part 5: Seamless Integration</a></li></ul></ul>
<ul></ul>
In Part 3, we discuss leveraging artificial intelligence and data analytics to enable highly personalized healthcare product development.&nbsp;
What should companies be doing to lead this trend?

Current Paradigm – Generic Treatment – Informed by population averages, Unstructured data, Trial-and-error, reactive – New Paradigm – Data-Informed Personalization – Informed by DNA, biometrics, or preferences, smart and interoperable data, Continuous ite

<h2>Data-Informed Personalization: Utilize Data to Design the Right Care for the Right Consumer</h2>
Advancements in AI and data analytics technologies, and the healthcare consumer’s increasing interest in tracking and sharing personal data, are paving the way for highly personalized care. To win this race, companies need to deliver deeper, more meaningful personalization through healthcare product development.

<h2>What’s changed? </h2>
Physicians have traditionally worked with an incredibly shallow amount of data when creating a patient’s treatment plan: they might have access to a few test results and basic biometrics. It is no surprise then that treatment is a process of trial-and-error, subject to procedures or prescription drugs that were developed to treat population averages.&nbsp;
New products or services, however, aggregate personal and big data – including genomics, preference and lifestyle data, and even social determinant factors, to create tailored solutions. This continuous stream of data can create iterative treatments that are optimized to be given at the right time to be most effective.

Condition Signals, Behavior Signals, Preference Signals, Aggregate, Iterate, Apply, Interpret, Member, Coaching, Livongo Device, Web, Behavior Change, Cinical, Admin & Logstical – Delve Consumer Personalized Healthcare

<h4 id="download">Download our white paper, "How to Design Health Products of the Future."</h4>

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<h2>Examples of the New Paradigm </h2>
Livongo is a chronic disease management healthcare platform that provides a clear example of data-informed product design. It&nbsp;calls itself an “applied health signals” company and uses an “AI+AI” formula: Aggregate, Interpret, Apply, and Iterate. Livongo joins dozens of data sets together and combines them with signals from proprietary devices, health coaches, and web assets in order to understand what drives the unique user’s behavioral change. The healthcare platform then delivers actionable, personalized and timely recommendations to assist the consumer in managing their chronic disease. 
Baze is a Berlin-based startup that offers personalized vitamins as a subscription. The company sends an at-home blood sampling kit to test current nutrient levels, and develops personalized vitamins based on individual deficiencies and needs. Quarterly blood tests then track improvements.

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<h2>A Scenario of the Future: Data-Informed Personalization in 2030 </h2>
In 2030, medicine is smart, having evolved from precise to predictive and responsive. Real-time data inputs come from your genome, microbiome, physical activity, emotional state, and environment, and play the primary role in informing your endto-end health and wellness plan. This may include lifestyle, diet, treatments, as well as preferred enhancements. Your personalized healthcare insurance plan takes all of these factors into account. 
There is no need to individually track your metrics, and figure out how to make sense of them or what actions you should take in response: An AI network continually collects a range of data inputs from wearables (including smart clothing), the environment, and social and governmental sources. Built with behavioral psychology in mind, the AI network transforms this array of inputs into a daily wellness regimen that adapts to the individual’s needs and preferences. This data is also used to develop personalized healthcare treatments, predict adverse events, and ensure optimal timing of interventions for the consumer.

<h2>Your Opportunities</h2>
1. Personalization is about emotional connection, not just efficacy. In order to deliver a truly personalized solution, you will need to engage the user beyond the aggregation of data—and speak to their preferences and emotional needs. Better yet, engage the consumer to take an active part in the personalization process.
2. Build intelligence and influence across the ecosystem. Traditionally, medical device companies have not had the opportunity to leverage data like other stakeholders, primarily payers and providers. As IoT proliferates, you will create and gain access to more data, both within and outside the healthcare domain. Companies can extend their healthcare influence and product value through this data-informed design&nbsp;exchange. 
<h2>Potential Pitfall</h2>
1. Failure to Provide Control: Security and privacy are a requirement for entry. Consumers are more willing than ever to share their personal data, however, they also demand more transparency and control on what is being done with their data and why.

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2. Failure to Iterate. Collecting data without making it meaningful is not personalization—it’s just noise. Do not collect more than necessary, and design personalized feature that truly fulfill people’s needs.<h2>How Can We Help? </h2>
At Delve, our team of engineers can help you develop the next generation of health and wellness products that leverage data-informed design and offer personalized healthcare solutions to meet the healthcare consumer's needs.&nbsp;<a href="https://www.delve.com/health-and-wellness" target="_blank">Learn more</a> about how can we help you win the race to more profound, meaningful health service personalization. Next: <a href="https://www.delve.com/insights/how-to-design-the-healthcare-products-of-the-future-part-4-anytime-anywhere" target="_blank">How to Design the Healthcare Products of the Future, Part 4: </a><a href="https://www.delve.com/insights/how-to-design-the-healthcare-products-of-the-future-part-4-anytime-anywhere" target="_blank">Anytime, Anywhere</a>

Learn more about <a href="https://www.delve.com/services" target="_blank">Product Development & Design Services at Delve.</a>

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Part 3 of 5, Personalized Delve Healthcare Product Development in the Future

Advancements in AI and data analytics technologies, and the healthcare consumer’s increasing interest in tracking and sharing personal data, are paving the way for highly personalized care. To win this race, companies need to deliver deeper, more meaningful personalization.

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How to Design Health Products of the Future, Part 3: Data-Informed Personalization

How to Design Health Products of the Future, Part 3: Data-Informed Personalization

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