Proven Healthcare Analytics:
How Apple’s Mobile Wellness Toolkit will help keep better track of our health

Healthcare Analytics Infoplicity
 

When it comes to the importance of Healthcare Analytics, doctor visits sometimes provide only a partial picture of your overall health; but with constant healthcare monitoring, the data we now keep in our pockets could provide even more of a comprehensive picture of our wellness!


Apple’s CareKit is now available for developers to explore and tinker with, letting app creators give people the tools they need to continuously monitor and document information about health through their mobile devices.


CareKit-enabled health apps can give healthcare providers information beyond how the individual is feeling on a particular day. Instead of evaluating the patient in one moment, they can assess how the patient has felt for the last week, month, or even year.


Apple’s open-source framework includes four different modules: Care Card, Symptom and Measurement tracker, Insight Dashboard, and Connect. Each module adds features to health apps that make it easy to document medication and physical therapy, monitor pain, and share data with family members or physicians.


A handful of health apps already integrate with CareKit, after their developers worked with Apple to implement the framework to debut alongside its public release. This is why it’s important to have a strong healthcare analytics consulting team to understand the needs and importance of providing accurate, useful, and potential life saving details at real-time capabilities.


One Drop‘s management platform for instance, helps people manage diabetes through activity and glucose tracking. The app is a social experience for people with diabetes sharing their anonymous, de-identified data with the One Drop community. They can engage with others who share their current conditions to learn how to better manage their overall health.


 
Infoplicity Healthcare Analytics
 

CEO Jeff Dachis created the One Drop application after he was diagnosed with Type 1 diabetes. He said the care he received from doctors about his diagnosis was not a very human experience, and there was no health analytics related tool that could track all the information crucial to managing diabetes like foods, medications, and activities in one place.


The lessened learned here is creating that awareness hub for people to collect and store information that’s important to them, but also a way to share it with a community to find valuable support, identify patterns, and learn from others experiences.


The data-driven health analytics revolution must give people the tools and resources they need to manage their overall health independently, get their high level questions answered, and feel as if they have a trusted source to go to. As CEO Jeff Dachis says, “we believe self-care is going to eat healthcare.” “For brain surgery, you need a doctor. But day-in-and-day out life, like diabetes and eating a burrito, you don’t need a doctor.”


Doctors and healthcare providers are now utilizing the power of data driven health apps. For example, within the United States, the Cleveland Clinic physicians are using the development framework, to build an app that helps patients manage respiratory conditions.

 
Health Analytics Infoplicity
 

Patients with breathing problems such as chronic obstructive pulmonary disease (COPD) and asthma, can use the iPhone’s microphone to get a measurement of a pulmonary function. It’s not necessarily a substitute for a spirometer, but it approximates the pulmonary function based on pressure changes in the breath, Dr. Jay Alberts, Vice Chair of Health Technology Enablement and Clinical Transformation Director at the Cleveland Clinic, said in an interview.


Additionally, patients can record symptoms within the app, which also pulls things like activity levels and step counts from Apple’s main Health app. Patients also respond to questionnaires and receive certain exercises approved by respiratory therapists to perform. The app lets physicians and patients connect around a common source, while also enabling the continuity of care on its constant stream of data analytics capabilities.


Eventually, doctors will use the data to go beyond just ordinary patients within their facility. Physicians will be able to use predictive analytics to recognize patterns or create a larger picture of the populations health by researching anonymized data. This data can then be captured in house, and used to provide quicker, more efficient patient care response rates.


That’s now, where the potential to switch from digital health into digital medicine is the real exciting part! Hundreds of healthcare analytics consulting firms are now beginning to build mobile based apps to integrate with not only their own, but valuable “digital data,” and soon, we as patients, and our doctors, might be relying more on mobile devices for comprehensive self-care delivery.


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