Innovation in Healthcare

Part
01
of two
Part
01

Innovations in Integrated Health Care Plans

Two innovations in healthcare in integrated health care plans in treating patients include the use of big data to treat rare diseases and the use of artificial intelligence (AI) to deliver personalized radiation therapy. Because we were unable to find a third innovation, we are submitting this brief as a Partial Client Update.

BIG DATA TO TREAT RARE DISEASES

  • The healthcare startup RDMD is using AI to analyze data from medical records to find commonalities in rare disease cases.
  • Overview of the innovation:
    • RDMD aggregates and analyzes medical records and sells the data to pharmaceutical companies to help them develop medicines. In exchange for access to the data, patients get their fragmented medical records organized into an app they can use to track their treatment and get second opinions.
    • With RDMD’s app, a patient’s medical history, which is strewn across hospitals and health facilities, can be compiled, organized and synthesized. Handwritten physicians’ notes and faxes are digitized with optical character recognition, structuring the data for scientific research.
    • RDMD lays out patients’ records in a disease-specific timeline that summarizes their data and can be kept updated, delivered to specialists for consultations, or shared with their family and caregivers.
  • Issue that RDMD addresses:
    • Over 7,000 rare diseases exist, affecting 1 in 10 people, and yet less than five percent of them have an FDA-approved therapy.
  • Initial impact of RDMD:

AI TO DELIVER PERSONALIZED RADIATION THERAPY

  • The Cleveland Clinic's new AI center uses medical scans and health records to personalize the dose of radiation therapy used to treat cancer patients.
  • Overview of the innovation:
    • The research team developed an AI framework based on patients' computerized tomography (CT) scans and electronic health records.
    • The center aims to find new applications of AI for diagnostics, disease prediction, and treatment planning.
    • Dr. Mohamed Abazeed says that this approach will help doctors tailor dosage schedules to patients to more effectively minimize side effects and maximized effectiveness.
  • Issue that this technique addresses:
    • This technique does not address an issue as much as it demonstrates Cleveland Clinic's position at the forefront of medical innovation, creating proactive solutions with technology.
  • Initial impact:
    • The framework was built using CT scans and the electronic health records of 944 lung cancer patients treated with high-dose radiation.
    • Pre-treatment scans were input into a deep-learning model, which analyzed the scans to create an image signature that predicts treatment outcomes.
    • This image signature was then combined with data from patient health records to generate a personalized radiation dose.

Research Strategy:

Your research team was only able to find two innovations in healthcare in integrated health care plans, which is why we are submitting this brief as a Partial Client Update. We specifically provide innovations in which integrated healthcare plans and health providers are working together to treat patients.
We implemented three strategies for finding the requested information.
First, we started by searching for precompiled information through survey or consumer reports, or case study analysis innovations in healthcare specifically in integrated healthcare plans. Our primary focus was to find precompiled information specifically about innovations in integrated health and information, insights, and data surrounding the process of innovation in integrated health plans. We discovered that almost all such articles discuss innovations regarding telehealth, Health Wearables, 3D Printing, and genomics, among others.

Our second strategy involved searching for data from medical and hospital care website that compiles healthcare plans services and looks for innovations in treating patients. However, most of the data found were not new, which was the first criteria in this research; the request asked for an "innovation" which is something new, a completely fresh capability, or ideas that resonate and excite people. So, this strategy failed to result in relevant information.

Last, we tried to look for information to be used as proxy data points by looking for the different users and tools used in integrated health care plans. The goal was to triangulate the required information through proxy or parallel data points. The data points included sharing of data and integration access to patients' records. We also tried to look for information for a bigger healthcare component, but the specific segment of integrated health care plans was not available. One reason for the limited availability of such information may be because healthcare companies do not want to publicize information about recent innovations for proprietary concerns.
Finally, we gathered the relevant available information to provide helpful findings for the client’s request. After developing a list of articles and blogs with information on innovations in healthcare, we sorted out these case studies in terms of relevance and consistency. We then listed out two of the most common innovation in healthcare in integrated healthcare plans and provided the information requested in the prompt for each of them.

Part
02
of two
Part
02

Innovations in Healthcare Wearables

Three innovations in healthcare wearables are chronic pain-relieving Quell 2.0, atrial fibrillation-detecting Apple Watch series, and fast and clinically accurate HeartGuide blood pressure monitor.

CHRONIC PAIN-RELIEVING QUELL 2.0

In an unprecedented move on May 30th, 2018, the U.S. Food and Drug Administration (FDA) called on manufacturers to participate in a program to accelerate the innovation of medical devices to deal with opioid addiction in order to combat the long-lasting opioid crisis in the US.
NeuroMetrix responded to this call by developing Quell 2.0, a 100% drug-free wearable technology that gives relief from chronic pain.
The new device is 20% more powerful and 50% smaller than the first generation Quell, and "wraps around the upper calf and triggers the body’s natural pain blockers through electrical stimulation".
Quell 2.0 automatically begins therapy when it is wrapped around the leg. It provides more effective results when it is used for a minimum of three therapy sessions daily within the first 30 days.
It is currently the only OTC (over the counter) pain relief gadget that has been cleared by the FDA to be used while sleeping but it can also be worn in the daytime.
The device comes with a mobile app that makes it easier to calibrate Quell to accurate personal needs and select a range of customization features.
Quell 2.0 was chosen as an Innovation Awards Honoree at CES 2019.

ATRIAL FIBRILLATION-DETECTING APPLE WATCH SERIES

  • The heart-rate pulse sensor component of the Apple Watch series (versions 1 through 4) can be used to identify atrial fibrillation, a disease which is usually hidden because people do not typically experience daily symptoms.
  • Atrial fibrillation leads to 130,000 deaths and 750,000 hospital visits annually according to the CDC. They estimated that between 2.7 and 6.1 million people are affected by the condition, and around 700,000 more cases of atrial fibrillation are diagnosed.
  • In a joint Heart Study research involving Apple and Stanford University’s School of Medicine which enrolled over 400,000 participants, the heart rate app intermittently checks the participant’s pulse and, when it detects an irregular beat, the participant would be notified to "schedule a telemedicine consultation with one of the doctors from the study".
  • Ambulatory electrocardiography (ECG) patches were then sent to the participants using through BioTelemetry, and was used to record their hearts' electrical rhythm for up to one week.
  • The study's preliminary results in 2019 proved the accuracy of the wearables. Comparing the "irregular pulse detection on the Apple Watch to ECG patch recordings revealed that the pulse detection algorithm" had a positive predictive value of 71%.
  • The participants who got notifications were found to be in atrial fibrillation 84% of the time. Of those who got irregular pulse notifications, 57% of them sought medical attention.

FAST AND CLINICALLY ACCURATE HEARTGUIDE WEARABLE BLOOD PRESSURE MONITOR

  • The HeartGuide blood pressure monitor designed by Omron enables users to test their blood pressure in the same way it would be done at a clinic.
  • The wearable smartwatch provides a clinically accurate reading within 30 seconds. Its tiny pumps and pressure sensors can expose hidden conditions like heart and kidney disease.
  • HeartGuide is the "first, clinically accurate, wearable blood pressure monitor" and it can be at anytime, anywhere.
  • HeartGuide was designed with over "80 new patents that miniaturize the components for traditional oscillometric measurement, using an inflatable cuff within the watch band to take a blood pressure reading". This is a key advantage of HeartGuide over other wearable devices that uses sensor technology, as they only provide estimates of blood pressure.
  • The watch also monitors steps, calories burned and sleep patterns, and wirelessly upload the results into a mobile app known as HeartAdvisor which is later sent to a doctor though automatic PDF export.
  • The device was identified by Healthcare Weekly as one of the best health gadgets that was displayed at CES 2019.

Sources
Sources

From Part 01
Quotes
  • "AI, design thinking, robotics and big data have made a splash across all industries, but perhaps their greatest impact is in healthcare. As technology and innovation have grown in the healthcare field, hospitals and startups have found amazing ways to improve their offerings and revolutionize the industry. The result is amazing applications of new technology and thinking that can forever change how patients are treated."
Quotes
  • "We empower patients and communities to accelerate therapy development in rare disease."
Quotes
  • "Thursday, June 27, 2019, CLEVELAND: New Cleveland Clinic-led research shows that artificial intelligence (AI) can use medical scans and health records to personalize the dose of radiation therapy used to treat cancer patients."