HEALTH DATA DRIVES IMPROVEMENT IN CARE

Healthcare technology uses dynamic & real-world data, helping clinicians, payers, & patients


Doctor looking at patient chart

Healthcare suffers from a growing gap between what patients need and what healthcare systems can provide. The solution? Health data.

Identifying how healthcare data can improve patient care — both at a macro and a micro level — has been a long-term strategy at Medtronic because we understand the competing realities faced by health systems:

  • An aging population with high rates of multiple chronic diseases
  • Increasing pressure to create efficiencies, while maintaining high-touch care for the most critical patients

To help, Medtronic offers a variety  of  healthcare technology and real-world health data solutions.


Partners Look Beyond Clinical Health Data

Today, clinicians and regulatory agencies rely on clinical data and additional real-world data to help them make informed care decisions, create better care pathways, and improve patient outcomes.

Four key developments advance data sourcing and evidence generation:

  • Electronic Health Records (EHRs), furthered by several congressional laws and meaningful use payments
  • The switch to ICD-10 payment coding, enabling more detailed outcome measurement
  • Mandated Unique Device Identification (UDI), facilitating tracking-specific devices
  • Artificial intelligence (AI), specifically natural language processing (NLP), allowing extraction of unstructured clinical data and adding a new layer of quantitative data analysis

Medtronic data scientists are exploring how to analyze non-standardized data and previously unattainable patient healthcare data and derive insights related to clinical outcomes.

  • Our recent work with Mercy Health applied this level of data analysis to better define Mercy’s heart failure patient population.
  • Our teams also see the opportunity for real-world clinical practice outcomes data to help shorten time to adoption of the latest preventative therapies, like cardiac-resynchronization therapy (CRT).


Healthcare Technology Key to Automating Data Collection and Analysis

Artificial intelligence (AI) can help predict health events, drawing from a broad source of information, including both static and dynamic data. Medtronic implantable devices and monitoring services can track dynamic data such as blood pressure, heart rate, and blood glucose levels. This information can provide the red flags clinicians need to intervene with a patient’s care early, before complications occur or the patient’s condition worsens.

Dynamic Health Data Helps Clinicians, Payers, and Patients
Care for patients with complex, chronic conditions — like high blood pressure, heart disease, and diabetes — often happens outside the hospital setting.1  Collecting dynamic data and providing actionable insights to clinicians can mean the difference between a well-managed patient and a patient at heightened risk of complications.

Payers also benefit from these insights because data helps identify the cohorts of patients who would benefit most from remote monitoring.

And most importantly, patients benefit. For example, to help patients living with diabetes, we’ve partnered with other technology companies to help simplify daily diabetes management. One innovative healthcare technology, Sugar.IQ, is a personal diabetes assistant smartphone app we developed in partnership with IBM Watson Health. The technology provides real-time, personalized insights on one cloud-based platform, accessible by the patient.

What’s next?
The amount of data being recorded by devices, EHRs, and other technologies is staggering. Combined with clinician insights based on direct patient care, data has the potential to significantly improve outcomes over the long term.

The opportunities are exciting, but collaboration with partners is key to getting us there. Together, we must:

  • Continue empowering clinicians with actionable data, helping them improve care delivery, create efficiencies, and manage costs
  • Help clinicians and hospital systems build a closed-loop feedback system, so individual learnings, expertise, and outcome insights are shared at a broader, more impactful level in an organization


LEARN HOW

Learn more about the journey and where you can play a role.