Updated on March 6, 2024

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Created on August 28, 2017

Mobile Obstetrics Monitoring (MOM)

Upcoming Update

Philips Mobile Obstetrics Monitoring (MOM) is a software solution that allows community healthcare workers to enhance maternal care in community settings

Developed By
  1. Philips
Content Partners
Unknown

Author

Product Description

Philips Mobile Obstetrics Monitoring (MOM) is a software solution that allows community healthcare workers to perform antenatal risk stratification, receive diagnostic assistance, and assess a patient’s progress via a mobile device to enhance maternal care in community settings.

Target SDGs

SDG 3: Good Health and Well-Being

Target Users (Target Impact Group)

Public Sector Agencies, NGOs

Distributors / Implementing Organizations

Philips.

Manufacturing/Building Method

Software development

Intellectural Property Type

Trademark

User Provision Model

Direct from manufacturer.

Distributions to Date Status

Unknown

Design Specifications

The MOM service features two mobile phone apps. The first app allows midwives to collect vital measurement data such as weight, blood pressure and temperature, and sync it to the MOM web portal. The second lets doctors track this data and review a woman’s pregnancy condition. Specialists at regional primary care centers can also access the data via a MOM web portal to monitor women’s conditions and assess high-risk pregnancies via a dashboard interface.

Product Schematics

Technical Support

Users can contact Philips for further information and technical support.

Replacement Components

N/A

Lifecycle

N/A

Manufacturer Specified Performance Parameters

MoM enables end users can review and manage each obstetric case which facilitates timely referral of the patient to an appropriate healthcare center for further management if needed.

Vetted Performance Status

None.

Safety

N/A

Complementary Technical Systems

None

Academic Research and References

  1. Priyanka Bhat, Akshar Joshi, Tanmay S Bhat, Prof. Rajesh N V. Analysis and Study of IoT based e-health models and APIs. International Journal of Innovations & Advancement in Computer Science, IJIACS, ISSN 2347 – 8616, Volume 7, Issue 4, April 2018
  2. Mark Schultz, Stephen Ezell, and David Lund. How Innovators Are Solving Global Health Challenges. Innovate4Health

Compliance with regulations

Specific policies on privacy and health information need to be addressed in each country.

Evaluation methods

Field Trials

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