Benefits of the Cloud for Healthcare: AI & the Internet of Things

Internet of Things

Using Artificial Intelligence (AI) and Internet of Things (IoT) technology to support clinical decisions

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Michelle O'Brien, Head of Strategy

In my next article, which again looks to demystify some of the tech babble around the benefits of cloud for healthcare, I am exploring what we mean by AI, IoT and how these can be used to support clinical decisions.

First of all, some clarity on what these terms actually mean: 

Artificial intelligence: 

Artificial Intelligence, or AI, refers to computer programs that can think, work and make decisions similarly to humans. The uses are broad, but are already well known to us today.  

Saying ‘Hey Siri’ or ‘Hey Google’ to your phone brings an AI assistant to life. Plenty of services use AI in a more subtle way, such as Netflix recommending your next show to binge-watch, or Amazon suggesting which item people like you also bought. 

In healthcare, AI is often used for voice recognition, with doctors using software such as Dragon to convert their speech into text without typing. Clinical decision support tools such as UpToDate by Wolters Kluwer are also a form of AI, interpreting health data to provide clinicians with information to support their clinical decisions.  

Machine Learning: 

Machine learning refers to the process AI software goes through to improve automatically through experience, much like we humans learn from our daily experiences.  

Internet of Things:  

The internet of things, or IoT for short, refers to physical objects like patient devices that are fitted with sensors or use Bluetooth technology to collect and send data over the internet.

Some examples you may find at home are an Amazon Alexa speaker that can turn off your lights, a smart scale that sends your weight to your phone, or a Fitbit that sends your steps for the day to an app. 

Devices like Fitbits and Apple watches are now overlapping into healthcare as they provide health data such as activity levels and heart rates. But more medical focussed devices such as the TGA approved pulse oximeters, blood pressure cuffs and blood glucose monitors are widely available to use at home as well. 

Remote Monitoring: 

In a healthcare context, remote monitoring means gathering patient data outside of the traditional bricks anmortar setting, such as the GP clinic or outpatient department. 

This ties in with the IoT, in that IoT devices can record patient data at home and send this to a patient’s medical record via their phone. But it also includes software on smartphones that do not require physical devices, for example a simple mood diary for mental health patients like Innowell. 

 

What does this have to do with the Cloud? 

These exciting uses of AI and the Internet of Things are all reliant on being able to send the data they collect to the clinicians providing care. This is only possible in real time thanks to Cloud EMRs, such as MediRecords, that pull the data together in one place. 

I explored this ‘interoperability’ of services in my previous explainer article here. 

What are some examples in Australian Healthcare? 

There are already a range of products and services available in Australia that exist to help clinicians provide better patient care. 

iHealth

iHealth have developed a range of IoT devices designed to help patients monitor themselves at home, including: 

  • Wireless Pulse Oximeters,
  • Thermometers,
  • Wireless Blood Pressure Monitors, 
  • Scales; and 
  • Wireless Blood Glucose Monitors

These devices share the health data they collect with the patient’s smartphone via Bluetooth, which is then shared with the patient’s cloud based medical record such as MediRecords. 

 iHealth products are approved by the Therapeutic Goods Administration (TGA).  

ResApp

ResApp is a remote monitoring smartphone app that can diagnose and manage respiratory conditions such as pneumonia, asthma and sleep apnoea. All of this is possible through ResApp’s AI, which they say can diagnose conditions just through listening to a patient cough using their phones microphone.  

PainChek

And PainChek have developed remote monitoring software that uses a smartphones camera to detect if a non-verbal patient is in pain. This works by using AI to read the patients’ facial expression and will allow clinicians to ease the suffering endured by patients unable to communicate. 

These are just three of many great examples from within Australia, demonstrating that Australia is at the forefront of innovation in AI technology. 

 

How can AI and the IoT Improve Healthcare in Practice? 

This is best explained in a theoretical example, in this case a patient who suffers from a chronic respiratory illness. 

From the examples above this patient could monitor themselves periodically using an iHealth Wireless Pulse Oximeter (IoT), to ensure they were still receiving enough oxygen in their blood.  

This data is sent from the Oximeter to their phone via Bluetooth, which then sends the data to their electronic health record, for example MediRecords, in the cloud. A dashboard capability could be used within MediRecords to alert clinicians of patients who may need support.  

A product like ResApp could be used to provide the clinicians with additional clinical decision support in the absence of a face to face appointment which is not always possible. 

Where a clinician is concerned about a patient, they can set up an appropriate intervention 

AI used this way supports infection control management in treating respiratory illnesses. This is just one theoretical use case. The range and capabilities of medical AI and IoT devices means similar methods of remote monitoring and treatment are available for a range of conditions. 

Michelle O’Brien, who is based in our Sydney office, is Head of Strategy here at MediRecords.

 

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    MediRecords Product Update October 2020

    ePrescribing Token on Phone

    MediRecords Product Update: October 2020

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    Maxwell Holmes, Product Manager

    Improvements coming on 8th October 2020 include an expanded Medication Grid and improved Password Protection

    MediRecords recently announced the introduction of e-Prescribing using eRx. If you are interested in joining our pilot program please email to support@medirecords.com 

    As part of the ePrescribing release there are some changes coming to MediRecords that will affect all our users, including those not using e-Prescribing. 

    New fields on the Medication Grid 

    The Medication Grid will now display the Type and Status of a prescription, as can be seen in the image below. Prescriptions that have not been printed will display as draft. Printing the prescription will update the status to Printed 

    Prescription types are ManualPaperscript and Paperless 

    Manual scripts are any scripts generated using MediRecords without an integration to eRx electronic script exchange; Paperscripts are printed scripts that also contain an eRx SCID barcode; and Paperless scripts are scripts generated using e-Prescribing. 

    Password Policy Changes 

    As part of our ongoing commitment to data security, MediRecords will now lockout any account with five failed login attempts. If your account does become locked out, you will be sent a Reset My Password email and will be asked to create a new password.  

    We have also added options for organisations to enforce password complexity to ensure that password security is taken seriously 

    The defaults for your organisation will stay the same. If you are interested in changing your password complexity enforcement, you can find out by viewing our Password Policy article.

     

    If you have any questions about these changes, or how they may affect you, then please reach our to our friendly support team on 1300 103 903, or via support@medirecords.com

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