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Presented by- Shruti Richa
Assistant Professor
Central Institute of Pharmacy
 Digital medicines are a way designed
to communicate with patients to the
mobile or web-based applications so
that a patient can take his
medications very easily & at a
particular time.
 The digital medicine aim to improve
pharmaceutical therapy by
improving patient adherence.
 Since the digital technology has become
more portable, easy to use and
affordable, it is very much necessary
to capture the minds of all medical
professionals and patients.
 So, from new imaging tools to mobile
devices, there is need to explore
medicine digitally & to use advanced
tools technologically to fill gaps in
patient care.
 The broad scope of digital health includes categories
such as mobile health (mHealth), health
information technology (IT), wearable devices,
telehealth and telemedicine, and personalized
medicine.
 Providers and other stakeholders are using digital
health in their efforts to:
 Reduce inefficiencies,
 Improve access,
 Reduce costs,
 Increase quality, and,
 Make medicine more personalized for patients.
 Patients and consumers can use digital health to better
manage and track their health and wellness related
activities.
 The use of technologies such as smart
phones, social networks and internet
applications is not only changing the way
we communicate, but is also providing
innovative ways for us to monitor our
health and well-being and giving us
greater access to information. Together
these advancements are leading to a
convergence of people, information,
technology and connectivity to improve
health care and health outcomes.
 Digital Health Innovation Action Plan
 This plan outlines the efforts to ensure all
patients to have timely access to high-
quality, safe and effective digital health
products. As part of this plan, the FDA
committed to several key goals, including
launching the digital health software
precertification pilot program (“Pre-Cert”)
and issuing guidance to modernize their
policies.
 Advancing these new digital health policies,
encourages innovation, brings efficiency and
modernization to regulation.
 Many medical devices now have the ability to connect to and communicate
with other devices or systems. Devices that are already FDA approved or
cleared are being updated to add digital features. New types of devices that
already have these capabilities are being explored.
 FDA’s Center for Devices and Radiological Health is excited about these
advances and the convergence of medical devices with connectivity and
consumer technology. The following are topics in the digital health field on
which the FDA has been working to provide clarity using practical approaches
that balance benefits and risks:
 Wireless Medical Devices
 Mobile medical apps
 Health IT
 Telemedicine
 Medical Device Data Systems
 Medical device Interoperability
 Software as a Medical Device (SaMD)
 General Wellness
 Cybersecurity
 They have established the Digital Health
Program which seeks to better protect
and promote public health and provide
continued regulatory clarity by:
 Fostering collaborations and enhancing
outreach to digital health customers,
and
 Developing and implementing regulatory
strategies and policies for digital health
technologies.
 Federal Trade Commission (FTC) Mobile
Health Apps Interactive Tool
 If you are developing a mobile health
app that collects, creates, or shares
consumer information, click on the
button to take you to the tool on
Federal Trade Commission’s website to
find out when FDA, Federal Trade
Commission (FTC) or Office of Civil
Rights (OCR) laws apply:
 This can include standalone software that
is intended to run on general purpose
computers or mobile platforms (e.g.,
smartphone, tablet).
 Other examples include:
 SaMD that uses the microphone of a
smart device to detect interrupted
breathing during sleep and sounds a tone
to rouse the sleeper.
 SaMD that analyzes heart rate data
intended for a clinician as an aid in
diagnosis of arrhythmia.
 A device or product that can identify, analyze, and use
big data and large complex data sets from a variety of
sources. The product extracts new and relevant
information or patterns to use for medical purposes.
Required for artificial intelligence devices.
 Advanced Analytics may include the use of statistical
modeling and analytical techniques that provide insights,
predictions, and recommendations based on its analysis.
In that respect, devices including Advanced Analytics may
have an overlap with those including Artificial
Intelligence. However, Advanced Analytics techniques
typically analyze large and varied datasets that cannot
normally be analyzed by humans without specialized
software tools, and often discover new patterns in data.
 A software program uses data from a
standard CT to create a personalized 3D
model of the coronary arteries and
analyzes the impact that blockages have
on blood flow.
 An imaging system conducts an analysis
of a patient’s melanoma by comparing it
to a repository of data from past
melanoma cases (including images,
diagnosis, treatment plans). The system
then provides a diagnosis and generates a
treatment plan for the patient.
 A device or product that can imitate intelligent behavior or
mimics human learning and reasoning. Artificial intelligence
includes machine learning, neural networks, and natural
language processing. Some terms used to describe artificial
intelligence include: computer-aided detection/diagnosis,
statistical learning, deep learning, or smart algorithms.
 One rapidly growing area of Artificial Intelligence is machine
learning. Machine learning is used to design an algorithm or
model without explicit programming but through the use of
automated training with data (e.g., a regression function or
deep learning network). Devices that include Adaptive
Algorithms, i.e., algorithms that continue to learn and evolve
in time, are also another area of Artificial Intelligence.
 Terms or jargon used to describe artificial intelligence include
computer-aided detection/diagnosis, statistical learning
machines/algorithms, classifier, indicator/index/indices, support
vector machine, deep learning, and smart algorithm.
 An imaging system that uses
algorithms to provide diagnostic
information for malignant melanoma or
skin cancer in patients.
 A smart ECG device that estimates
the probability of acute cardiac
ischemia (ACI), a common form of
heart attack.
 A device or product with internet-based computing that
provides computer processing resources and data on
demand. The cloud is a shared pool of configurable
resources (e.g., computer networks, servers, storage,
applications, and services). Computing and data storage
resources include: servers, operating systems, networks,
software, applications, services, and storage equipment.
 Examples include:
 SaMD being executed in the cloud.
 A mobile colposcope that stores images taken on the
cloud for future retrieval and review in the doctor’s
office.
 A picture archiving and communications system consists
of cloud-based, web-accessible software that analyzes
cardiovascular images acquired from magnetic resonance
(MR) scanners.
 A device or product that can prevent
unauthorized access, modification, misuse, or
denial of use, or the unauthorized use of
information which is stored, accessed, or
transferred from a medical device to an external
recipient.
 Examples of security functions for protection
include:
 Limited access to devices or products through the
authentication of users (e.g. user ID and
password, smartcard, biometric).
 Use of automatic timed methods to terminate
sessions within the system where appropriate for
the use environment.
 A device or product that can exchange and use
information through an electronic interface with
another medical/non-medical product, system, or
device.
 Examples include:
 An infusion pump has been designed to receive
patient data from any pulse oximeter and uses
this data to change infusion pump settings.
 A centralized patient monitoring system receives
patient data from several devices and uses this
data to command and control a ventilator to
adjust pressure, volume, and flow settings that
are appropriate for the patient.
 A software application that meets the definition of a medical
device. The MMA transforms a mobile platform into a
regulated medical device or is an accessory to a regulated
medical device.
 Examples include:
 Mobile apps that transform the mobile platform into a
regulated medical device by using attachments, display screens,
or sensors or by including functionalities similar to those of
currently regulated medical devices
 Mobile apps that area an extension of one or more medical
devices by connecting to such devices for the purposes of
controlling the devices or for use in active patient monitoring
or analyzing medical device data
 Mobile apps that become a regulated medical device (i.e.
SaMD) by performing patient-specific analysis and providing
patient-specific diagnosis, or treatment recommendations
 Hardware or software that can transfer, store, convert data formats, or
display medical device data without controlling or altering the functions or
parameters of any connected medical device.
 Examples include:
 The electronic transfer or exchange of medical device data. For example, this
would include software that collects output from a ventilator about a
patient's CO2 level and transmits the information to a central patient data
repository.
 The electronic storage and retrieval of medical device data. For example,
software that stores historical blood pressure information for later review by
a healthcare provider.
 The electronic conversion of medical device data from one format to another
in accordance with a preset specification. For example, software that converts
digital data generated by a pulse oximeter into a digital format that can be
printed.
 The electronic display of medical device data. For example, software that
displays a previously stored electrocardiogram for a particular patient.
 Please note that MDDS does not include devices intended for active patient
monitoring (i.e., any device that is intended to be relied upon in deciding to
take immediate clinical action or where a timely response is required).
A device or product that uses wireless
communication of any form (e.g., Wi-
Fi, Bluetooth, NFC) to perform at
least one function.
 Examples include Wi-Fi, Bluetooth, and
NFC.
 A device or product that includes new, unfamiliar,
or unseen digital health technology never
submitted, cleared, or approved by FDA. The
technology could potentially be a de Novo, have a
new intended use, or have different technological
characteristics. This also includes digital health
technology or topic areas that have no agreed
upon or established definition by industry or FDA.
 Examples of novel digital health technologies
include but are not limited to:
 Virtual Reality
 Gaming
 Medical Body Area Network (MBAN) wearable or
implanted wireless devices
Digital medicine: A Way to High Tech Health
Digital medicine: A Way to High Tech Health

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Digital medicine: A Way to High Tech Health

  • 1. Presented by- Shruti Richa Assistant Professor Central Institute of Pharmacy
  • 2.  Digital medicines are a way designed to communicate with patients to the mobile or web-based applications so that a patient can take his medications very easily & at a particular time.  The digital medicine aim to improve pharmaceutical therapy by improving patient adherence.
  • 3.  Since the digital technology has become more portable, easy to use and affordable, it is very much necessary to capture the minds of all medical professionals and patients.  So, from new imaging tools to mobile devices, there is need to explore medicine digitally & to use advanced tools technologically to fill gaps in patient care.
  • 4.  The broad scope of digital health includes categories such as mobile health (mHealth), health information technology (IT), wearable devices, telehealth and telemedicine, and personalized medicine.  Providers and other stakeholders are using digital health in their efforts to:  Reduce inefficiencies,  Improve access,  Reduce costs,  Increase quality, and,  Make medicine more personalized for patients.  Patients and consumers can use digital health to better manage and track their health and wellness related activities.
  • 5.  The use of technologies such as smart phones, social networks and internet applications is not only changing the way we communicate, but is also providing innovative ways for us to monitor our health and well-being and giving us greater access to information. Together these advancements are leading to a convergence of people, information, technology and connectivity to improve health care and health outcomes.
  • 6.  Digital Health Innovation Action Plan  This plan outlines the efforts to ensure all patients to have timely access to high- quality, safe and effective digital health products. As part of this plan, the FDA committed to several key goals, including launching the digital health software precertification pilot program (“Pre-Cert”) and issuing guidance to modernize their policies.  Advancing these new digital health policies, encourages innovation, brings efficiency and modernization to regulation.
  • 7.  Many medical devices now have the ability to connect to and communicate with other devices or systems. Devices that are already FDA approved or cleared are being updated to add digital features. New types of devices that already have these capabilities are being explored.  FDA’s Center for Devices and Radiological Health is excited about these advances and the convergence of medical devices with connectivity and consumer technology. The following are topics in the digital health field on which the FDA has been working to provide clarity using practical approaches that balance benefits and risks:  Wireless Medical Devices  Mobile medical apps  Health IT  Telemedicine  Medical Device Data Systems  Medical device Interoperability  Software as a Medical Device (SaMD)  General Wellness  Cybersecurity
  • 8.  They have established the Digital Health Program which seeks to better protect and promote public health and provide continued regulatory clarity by:  Fostering collaborations and enhancing outreach to digital health customers, and  Developing and implementing regulatory strategies and policies for digital health technologies.
  • 9.  Federal Trade Commission (FTC) Mobile Health Apps Interactive Tool  If you are developing a mobile health app that collects, creates, or shares consumer information, click on the button to take you to the tool on Federal Trade Commission’s website to find out when FDA, Federal Trade Commission (FTC) or Office of Civil Rights (OCR) laws apply:
  • 10.  This can include standalone software that is intended to run on general purpose computers or mobile platforms (e.g., smartphone, tablet).  Other examples include:  SaMD that uses the microphone of a smart device to detect interrupted breathing during sleep and sounds a tone to rouse the sleeper.  SaMD that analyzes heart rate data intended for a clinician as an aid in diagnosis of arrhythmia.
  • 11.  A device or product that can identify, analyze, and use big data and large complex data sets from a variety of sources. The product extracts new and relevant information or patterns to use for medical purposes. Required for artificial intelligence devices.  Advanced Analytics may include the use of statistical modeling and analytical techniques that provide insights, predictions, and recommendations based on its analysis. In that respect, devices including Advanced Analytics may have an overlap with those including Artificial Intelligence. However, Advanced Analytics techniques typically analyze large and varied datasets that cannot normally be analyzed by humans without specialized software tools, and often discover new patterns in data.
  • 12.  A software program uses data from a standard CT to create a personalized 3D model of the coronary arteries and analyzes the impact that blockages have on blood flow.  An imaging system conducts an analysis of a patient’s melanoma by comparing it to a repository of data from past melanoma cases (including images, diagnosis, treatment plans). The system then provides a diagnosis and generates a treatment plan for the patient.
  • 13.  A device or product that can imitate intelligent behavior or mimics human learning and reasoning. Artificial intelligence includes machine learning, neural networks, and natural language processing. Some terms used to describe artificial intelligence include: computer-aided detection/diagnosis, statistical learning, deep learning, or smart algorithms.  One rapidly growing area of Artificial Intelligence is machine learning. Machine learning is used to design an algorithm or model without explicit programming but through the use of automated training with data (e.g., a regression function or deep learning network). Devices that include Adaptive Algorithms, i.e., algorithms that continue to learn and evolve in time, are also another area of Artificial Intelligence.  Terms or jargon used to describe artificial intelligence include computer-aided detection/diagnosis, statistical learning machines/algorithms, classifier, indicator/index/indices, support vector machine, deep learning, and smart algorithm.
  • 14.  An imaging system that uses algorithms to provide diagnostic information for malignant melanoma or skin cancer in patients.  A smart ECG device that estimates the probability of acute cardiac ischemia (ACI), a common form of heart attack.
  • 15.  A device or product with internet-based computing that provides computer processing resources and data on demand. The cloud is a shared pool of configurable resources (e.g., computer networks, servers, storage, applications, and services). Computing and data storage resources include: servers, operating systems, networks, software, applications, services, and storage equipment.  Examples include:  SaMD being executed in the cloud.  A mobile colposcope that stores images taken on the cloud for future retrieval and review in the doctor’s office.  A picture archiving and communications system consists of cloud-based, web-accessible software that analyzes cardiovascular images acquired from magnetic resonance (MR) scanners.
  • 16.  A device or product that can prevent unauthorized access, modification, misuse, or denial of use, or the unauthorized use of information which is stored, accessed, or transferred from a medical device to an external recipient.  Examples of security functions for protection include:  Limited access to devices or products through the authentication of users (e.g. user ID and password, smartcard, biometric).  Use of automatic timed methods to terminate sessions within the system where appropriate for the use environment.
  • 17.  A device or product that can exchange and use information through an electronic interface with another medical/non-medical product, system, or device.  Examples include:  An infusion pump has been designed to receive patient data from any pulse oximeter and uses this data to change infusion pump settings.  A centralized patient monitoring system receives patient data from several devices and uses this data to command and control a ventilator to adjust pressure, volume, and flow settings that are appropriate for the patient.
  • 18.  A software application that meets the definition of a medical device. The MMA transforms a mobile platform into a regulated medical device or is an accessory to a regulated medical device.  Examples include:  Mobile apps that transform the mobile platform into a regulated medical device by using attachments, display screens, or sensors or by including functionalities similar to those of currently regulated medical devices  Mobile apps that area an extension of one or more medical devices by connecting to such devices for the purposes of controlling the devices or for use in active patient monitoring or analyzing medical device data  Mobile apps that become a regulated medical device (i.e. SaMD) by performing patient-specific analysis and providing patient-specific diagnosis, or treatment recommendations
  • 19.  Hardware or software that can transfer, store, convert data formats, or display medical device data without controlling or altering the functions or parameters of any connected medical device.  Examples include:  The electronic transfer or exchange of medical device data. For example, this would include software that collects output from a ventilator about a patient's CO2 level and transmits the information to a central patient data repository.  The electronic storage and retrieval of medical device data. For example, software that stores historical blood pressure information for later review by a healthcare provider.  The electronic conversion of medical device data from one format to another in accordance with a preset specification. For example, software that converts digital data generated by a pulse oximeter into a digital format that can be printed.  The electronic display of medical device data. For example, software that displays a previously stored electrocardiogram for a particular patient.  Please note that MDDS does not include devices intended for active patient monitoring (i.e., any device that is intended to be relied upon in deciding to take immediate clinical action or where a timely response is required).
  • 20. A device or product that uses wireless communication of any form (e.g., Wi- Fi, Bluetooth, NFC) to perform at least one function.  Examples include Wi-Fi, Bluetooth, and NFC.
  • 21.  A device or product that includes new, unfamiliar, or unseen digital health technology never submitted, cleared, or approved by FDA. The technology could potentially be a de Novo, have a new intended use, or have different technological characteristics. This also includes digital health technology or topic areas that have no agreed upon or established definition by industry or FDA.  Examples of novel digital health technologies include but are not limited to:  Virtual Reality  Gaming  Medical Body Area Network (MBAN) wearable or implanted wireless devices