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The HL7 Consumer Mobile Health Application Web Guide

HL7 Consumer Mobile Health Application Functional Framework (CMHAFF)
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HL7 Consumer Mobile Health Application Functional Framework (CMHAFF)

An HL7 Standard for Trial Use

The Consumer Mobile Health Application Functional Framework is an HL7 Standard for Trial Use (STU). The primary goals of the Consumer Mobile Health Functional Framework ( cMHAFF ) are to provide a standard against which a mobile app’s foundational characteristics -- including but not limited to security, privacy, data access, data export, and transparency/disclosure of conditions -- can be assessed.

The framework is based on the lifecycle of an app, as experienced by an individual consumer, from first deciding to download an app, to determining what happens with consumer data after the app has been deleted from a smartphone. It is important to note that the Framework does not speak directly to the specific health or clinical functionality of an app but can be extended to do so through the use of profiles (with constraints and/or extensions) developed on top of cMHAFF.

This site provides a visual overview of the HL7 CMHAFF STU and application for piloting CMHAFF use in testing and potential for certification of health apps.

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HL7 CMHAFF Workgroup

The HL7 CMHAFF STU is a standard under development through the HL7 Mobile Health workgroup.

Its development is being led by Co-Chairs:

  • Nathan Botts
  • Frank Ploeg
  • Matthew Graham
  • Gora Datta

HL7 CMHAFF Overview

2. Overview

Goals, Scope, Conformance Design Principles

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The primary goals of cMHAFF are to provide a standard against which a mobile app’s foundational characteristics -- including but not limited to security, privacy, data access, data export, and transparency/disclosure of conditions -- can be assessed. The framework is based on the lifecycle of an app, as experienced by an individual consumer, from first deciding to download an app, to determining what happens with consumer data after the app has been deleted from a smartphone. It is important to note that the Framework does not speak directly to the specific health or clinical functionality of an app but can be extended to do so through the use of profiles (with constraints and/or extensions) developed on top of cMHAFF.

2.4.1 Use Case A

Simple, Standalone

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A walking app collects data based on how far someone walks, using GPS technology. A consumer can view a history of walks taken and summary statistics related to distance walked and estimated calories burned. App developer is not a HIPAA-covered (see reference below) entity (CE) such as a healthcare provider, nor is the app sponsored by a CE (such as a hospital or physician).

2.4.2 Use Case B

Device-Connected Wellness App

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A weight management app helps consumers to systematically collect weight information, food consumption information and exercise information.  Weight can be entered manually, or a consumer can link a wireless scale to the app so that weight is automatically collected when using the scale.  Food consumption is entered manually, and the tool estimates calories consumed based on the consumer’s input. Exercise information may be entered manually or collected automatically through integration with a smart watch. A walking app collects data based on how far someone walks, using GPS technology. A consumer can view a history of walks taken and summary statistics related to distance walked and estimated calories burned. App developer is not a HIPAA-covered (see reference below) entity (CE) such as a healthcare provider, nor is the app sponsored by a CE (such as a hospital or physician).

2.4.3 Use Case C

EHR-Integrated Disease Management App

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A diabetes management app allows a consumer to collect blood sugar readings through a Bluetooth-enabled glucometer. A healthcare provider offers the app to enable the patient’s blood sugar to be captured through devices, rather than relying on manual entry by the patient, and to electronically transmit the readings to the patient’s physician, rather than using paper or FAX. Activity data are collected through an activity tracker, and a consumer can open the app to record meals and snacks to enable estimates of caloric consumption.

2.4.4 Risks, Key Differences, and Environmental Scan

Use Case Impact Factors

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For some apps, especially those like Use Case C, there are several potential threats and vulnerabilities which should be assessed and mitigated, where necessary, by mHealth developers (see 3.2.2 Product Risk Assessment and Mitigation). The primary goals of cMHAFF are to provide a standard against which a mobile app’s foundational characteristics -- including but not limited to security, privacy, data access, data export, and transparency/disclosure of conditions -- can be assessed. The framework is based on the lifecycle of an app, as experienced by an individual consumer, from first deciding to download an app, to determining what happens with consumer data after the app has been deleted from a smartphone. It is important to note that the Framework does not speak directly to the specific health or clinical functionality of an app but can be extended to do so through the use of profiles (with constraints and/or extensions) developed on top of cMHAFF.

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