Get Value Out of Your Data with IoMT and Data Governance



From temperature monitoring to MRI scans, most patient interactions with the healthcare system today involve the use of medical equipment and devices. According to a Deloitte report, the number of patients being monitored remotely is projected to exceed 50 million by 2021—up from 7.1 million in 2016.

The rising numbers of connected medical devices make up a rapidly growing Internet of Medical Things (IoMT). Just as with the greater umbrella of the Internet of Things (IoT), IoMT is the concatenation of sensors with technologies in order to harmonize unconnected processes and create actionable insights that enable new and improved processes within the healthcare business and practice.

Through the valuable data collected from a multitude of device endpoints, IoMT is helping drive healthcare business transformation. To that end, putting all that data to good use is the great deed at hand, and orchestrating information derived from IoT meaningfully is the key.

Enter data governance.

Why data governance?

Data governance is a program of decision rights and accountabilities to appropriately treat data as an asset, including managing, leveraging and protecting it accordingly. 

Establishing and following good data governance practices can help enable people throughout the organization to share and process meaningful information drawn from enterprise data, including IoMT data. People throughout an organization can benefit from the insights derived from this data, including not only CXOs and IT leadership, but also department staff, operations, facilities leaders, and so on.

Data governance can help an organization know exactly what IoMT data can be used and establish who can take what actions with the information that is gathered.

When well-executed, a data governance strategy can reward a healthcare organization with improvements in regulatory compliance, data security, data quality and improved decision-making.  

Making your data work for you

 More people throughout healthcare organizations are requesting access to IoMT devices and the data they can offer.

For example, nurses want to know where to find IoT-connected IV pumps. Operations wants to know how many of their IV pumps have recently been used and how many are offline. Facilities leaders want to not only know how many more need to be purchased, but also want to ensure they are necessary. All of these leaders benefit from this data, when applied to their scope of accountabilities and decision rights.

Implementing effective IoMT and data governance

If the data you are collecting is not serving a purpose for someone in your organization, it’s devoid of value. The value lies in the actionable insights healthcare organizations can use when trying to solve a very specific problem.

Here are four stages you should move through to implement an effective IoMT and associated data governance strategy: 

Stage 1: Figuring out what IoT means to your organization.

IoT helps organizations create cost avoidance scenarios and, in some cases, create new revenue streams or improve safety. Identify what challenges you would like to solve with your IoMT strategy and where you can make more efficient decisions based on sensor insights.

Stage 2: Ideation.

Next, gather your subject matter experts and decision makers to brainstorm creative solutions and figure out what kind of sensor data you want to collect and why.

Stage 3: Determining the impacts to your current infrastructure.

Now, think about how your sensors connect to your network and ask some key questions: How will this impact your storage? What kinds of insights do you need from the data collected and within what timeframe? How do you want this information presented and to whom? Do you need to integrate with other internal data or external data for additional insight, such as weather data?

Stage 4: Deployment.

Finally, it is time to implement your strategy. One of the keys to a successful deployment is to ensure all parties understand the data and where it has been derived from. Data governance―specifically metadata management and data catalogs―is key when IoMT footprints are expanded and additional users of the data are added.

Get more data insights with IoMT & data governance

IoMT offers a unique benefit to healthcare organizations by creating new data streams from previously unconnected assets.

When IoMT projects fail, it’s typically because the business units don’t understand the meaning or sources of the data that is being used. Working with a trusted partner to develop and implement an effective data governance strategy can help you reap real insight from your IoMT data.

Data governance helps connect the dots to manage, leverage and protect all of your IoMT generated data. It also helps you identify the data beneficiaries that need access to specific data collected, manage your IoMT data lifecycle, and ensure that this data translates into meaningful insights. This is a key to business transformation and market disruption that can result from application of data governance principles to IoMT data.

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