Debian Med Medical data packages

Проект FreeMedForms є набором вільного, з відкритими сирцями, медичного програмного забезпечення, яке використовується медичними працівниками у їх повсякденній роботі. Він створений міжнародною спільнотою лікарів та фахівців у сфері комп’ютерної обробки даних.

FreeDiams, програма для виписування рецептів на ліки. Вона може використовуватись для створення складних приписів та перевірки взаємодії ліків.

The FreeMedForms project provides a set of medical applications to help health professionals in their day-to-day practice. It is developed by an international community of medical doctors and computer specialists.

This package contains the architecture independent free extra-data (like free drugs database).

HL7 is a communication protocol and message format for health care data. It is the de-facto standard for transmitting data between clinical information systems and between clinical devices. The version 2.x series, which is often is a pipe delimited format is currently the most widely accepted version of HL7 (version 3.0 is an XML-based format). python-hl7 currently only parses HL7 version 2.x messages into an easy to access, list-based, data structure.

This package contains the Python3 API.

OSCAR is a Free Software, cross platform research tool for exploring data produced by CPAP (Continuous Positive Airway Pressure) machines, and related equipment, which are used in the treatment of sleep apnea and other sleep disorders.

OSCAR is a derivative of SleepyHead version 1.1.0, created when that was abandoned by Mark Watkins.

Important note: The project seems to be dead and the domain drugref.org does not exist any more. Thanks to the GNU Savannah project the code was kept for the past but there is no guarantee at all that the project is of any use.

The aim to to allow the collaborative construction of a free, peer-reviewed pharmaceutical reference.

The primary motivation is to support the gnumed project -- a free software medical information system, but it may have other uses.

It will support logging and versioning of all data, changes made by contributors can be audited and reverted if necessary. The data can be peer-reviewed by several authorities, end-users can opt to have only data which is peer-reviewed.

Drug names, indications, interactions, contra-indications, adverse reactions and side-effects are supported. Product information for multiple countries can be entered.