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Blog Post


HEALTH CARE DATA BLOG SERIES: WHY HEALTH CARE DATA OFTEN UNDERDELIVERS



By Rob Ryan & John League

May 18, 2022

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As we covered in our first blog in this series on health care data, leaders
across the industry see immense opportunity in data and are investing in efforts
and companies to support their goals. At the same time, health care data is
notoriously difficult to work with, preventing progress on many shared and
organizational goals (and perhaps part of why the data vendor market is so large
and diverse).

Health care needs a digital transformation. Is it ready?

In this blog, we will outline the key problems with health care data and
demonstrate the challenges these problems cause for cross-industry leaders.


HEALTH CARE'S 3 KEY DATA CHALLENGES

1. Clinical data is unstructured, inconsistent, and often outdated.

Health care organizations increasingly seek to conduct analytics on their
clinical data to improve clinical protocols and business development. But
clinical data is first and foremost a record of patients' health and care that
supports clinicians' decision-making at the point of care. The language that
clinicians need—detailed and context-specific—is often misaligned with the data
tracking needed to support large-scale analysis—structured and uniform.

At the same time, the process of aggregating and cleaning clinical data can
often take months, precluding real-time decision making based on the data for
efforts like clinical standardization and risk stratification. This generates a
cost: our inability to adapt clinical protocols in real time worsens outcomes
and increases cost of care for the patients that could have benefitted from
improved protocols and processes.

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AI in health care



2. Data is siloed across and within industry sectors, limiting its
comprehensiveness, and therefore representativeness.

Health care data is most valuable when different types of data can be connected.
For example, combining clinical and claims data can produce useful insights on
the cost-effectiveness of care because it has detail on both cost (from the
claims) and the specific services provided (from the clinical record). But
different data types, containing different insights, often are siloed across
industry sectors, preventing their synthesis.

Health care data ownership, by sector

Even more burdensome, organizations within sectors often shield their data from
one another for competitive reasons. Hospital systems, for example, are wary of
sharing claims data with one another out of fear of shining light on their
relative pricing. But organization-specific data is far less representative of
population needs and outcomes than data aggregated across organizations.

When organizations use these limited datasets to inform clinical protocols or
power algorithms, the result is often unrepresentative results that can
adversely impact patient care and outcomes.


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3. Leveraging patient data for 'extra-clinical' purposes could increase the risk
of breaching patients' privacy.

HIPAA indeed does offer a strong legal framework for securing sharing sensitive
patient data. But the increased volume of data sharing needed to achieve the
industry's data ambitions—and the consolidation of that data in the hands of a
small few organizations—inherently exposes patients to greater risk that their
data is breached or their de-identified data is re-identified.

Data challenges cause pain points for all sectors

These and other ecosystem-wide data challenges cascade down into pain points
facing many health care stakeholders:

 

The depth and breadth of pain points facing each key industry sectors
demonstrates that a desire for solutions to our data challenges is widespread.
In our final blog of this series on health care data, we will propose three
working solutions for how cross-industry leaders could rethink their approach to
collecting and analyzing the data our industry needs to achieve its data-related
goals.




HEALTH CARE NEEDS A DIGITAL TRANSFORMATION. IS IT READY?



Health care is behind nearly all other industries on digital transformation.
Covid-19 created an opening for change—purchaser demand for digital care
skyrocketed and the unsustainability of the industry’s digital-averse business
models were exposed. Venture investment dollars have flowed freely ever since.

In other words, the ambition is large, and the stakes are high. Meanwhile, the
barriers are many. Making health care truly digitally enabled will require
changing the incentives that underlie industry dynamics altogether.

Read more


TOPICS

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