Congratulations for the team.
regards
PEPELA WANJALA
MINISTRY OF HEALTH HEADQUARTERS
HEALTH SECTOR MONITORING & EVALUATION
AFYA HOUSE, LG 37
P.O BOX 30016, NAIROBI, KENYA
TEL: +254 (020) 2717077 EXT 45097
CELL: +254 (0) 722375633
EMAIL: wanjal...@yahoo.com, wanjal...@gmail.com
h...@health.go.ke
"HealthInformation Management - Making a World of Difference”
On Wednesday, April 23, 2014 7:51 AM, riddy ndoma <riddynd...@gmail.com> wrote:
Congratulation!! In the next release You can give the ability to customize a
section of a form? In lieu customize the entire form?
2014-04-23 5:16 GMT+01:00 Ismail Yusuf <ismailkolel...@gmail.com>:
Indeed good news :)
>
>
>Congratulation to the whole team who made this possible. The new features are
>pretty exciting, looking forward to fully utilize them.
>
>
>Cheers,
>Ismail
>
>
>
>On Wed, Apr 23, 2014 at 2:06 AM, Lars Helge Øverland <larshe...@gmail.com>
>wrote:
>
>Hi all,
>>
>>
>>DHIS version 2.15 is out. We have a great set of new features for you:
>>
>>
>>
>>
>>- Event reports app: We have a completely new "event reports" app for
>>analysis of events. This app lets you do aggregated analysis of events
>>directly without building aggregation queries and create pivot-style tables,
>>where you can use data elements as individual dimensions together with
>>periods and org units. All dimensions can be placed on columns, rows and
>>filters. The app also lets you query on events using filters on all data
>>elements, org units or periods. It lets you save tables as favorites and
>>share them with others. You can also download your favorites to many popular
>>formats. This app replaces the old tabular reports. You can check it out on
>>the demo by browsing through all of the favorites.
>>
>>
>>Documentation | Demo
>>
>>
>>
>>
>>- Event capture app: A new app for capture of events. This app makes it easy
>>to capture events efficiently, view the list of events capture so far and
>>update existing events. It lets you configure and select the columns to show
>>in the list of events. The app works offline, meaning that you can continue
>>to enter events even if connectivity drops during your working session.
>>
>>
>>Documentation | Demo
>>
>>
>>
>>
>>
>>- Tracked entities: In tracker you can now define any number of tracked
>>entities, representing things you want to track. Tracked entities can be
>>commodities, lab samples, buildings, wells, drug batches and persons, or
>>anything you want. This makes the system more flexible and applicable for
>>tracking most stuff beyond just persons. A program is associated with one
>>tracked entity. We hope that you will be creative and take advantage of this
>>new level of abstraction. You can define tracked entities from persons and
>>programs > tracked entity.
>>
>>
>>Demo
>>
>>
>>
>>
>>- Data approval levels: You can now configure the levels for where approval
>>of data should take place. For instance, you can require that data must be
>>approved at the facility and provincial org unit hierarchy levels, omitting
>>approval at the district levels. An approval level requires that the data
>>must be approval by some user linked to the specific level for it to be
>>considered valid and be available in data analysis. Approval levels are
>>configured under settings > approval.
>>
>>
>>Documentation | Demo
>>
>>
>>
>>
>>- Data approval in analytics: Data approval now takes place in reports module
>>> data approval. Approval of data is now respected in data analytics tools
>>such as pivot table and visualizer, meaning that data which has not been
>>approved will not be part of the aggregated values displayed in reports. This
>>implies that data can be hidden until it has been approved by the appropriate
>>persons. In other words, the aggregated data in analysis apps will be based
>>on approved data only.
>>
>>
>>Documentation | Demo
>>
>>
>>
>>
>>- Data access control in org unit hierarchy: User's access to data can now be
>>controlled in the organisation unit hierarchy. This is done by assigning data
>>view root organisation units per user. The existing association between users
>>and org units represent access to doing data capture. The new association for
>>data view organisation units controls for which organisation units a user can
>>view analytical data in the analysis modules such as pivot table and
>>visualizer.
>>
>>
>>Documentation | Demo
>>
>>
>>
>>
>>- Category option groups and group sets: Category options can now be further
>>classified by assigning them to category option groups and group sets. An
>>example where this is useful is when representing various projects as
>>category options and there is a need to classify these projects by funding
>>agencies/donors. The group sets are available as dimensions in all data
>>analysis modules. You set these up from data elements and indicators >
>>category option groups / group sets.
>>
>>
>>Documentation | Demo
>>
>>
>>
>>
>> - Top menu: We have added a new, more flexible top menu. This menu displays
>>all apps that is available to the current user, including both standard apps
>>and installed, external apps. It works well on touch-based devices due to the
>>large icons. You can organize your apps by clicking on "more apps" link and
>>drag-and-drop your apps into the order you would like. Note that your first
>>nine apps will be displayed in the drop-down menu. You can scroll down in the
>>top drop-down menu to view all apps, too. Check it out on the demo by
>>hovering the "apps" icon in the top menu.
>>
>>
>>Demo
>>
>>
>>
>>
>>- User account invites: A new feature for inviting new users to the system
>>has been added. An invite is similar to an account, except that instead of
>>specifying username and password, an email is sent to the invited user, who
>>can pick username and password herself before logging into the system. This
>>is useful to avoid insecure password generation such as standard or
>>simplistic passwords, or passwords being known by other than the user
>>herself. Check it out in the add new user screen by selecting "email
>>invitation to create account" from the top drop-down menu.
>>
>>
>>Documentation | Demo
>>
>>
>>
>>
>>- Std dev and variance aggregation operators: Data elements can now have new
>>aggregation operators which includes count, standard deviation and variance.
>>These aggregation operators can also be specified directly in analytics web
>>api queries. This allows for more advanced reports and aggregations.
>>
>>
>>Documentation | Demo
>>
>>
>>
>>
>>- Org unit group counts in indicators: In indicator formulas you can now
>>include the number of org units in a specific group. This count of org units
>>intersects with the org unit hierarchy based on the org unit requested for
>>aggregation. As an example, this lets you use the number of public facilities
>>in a specific district in indicators. This is useful e.g. when creating
>>facility infrastructure surveys and reports. Check out the
>>
>>
>>Documentation | Demo
>>
>>
>>
>>
>>- Custom range axis in visualizer: In data visualizer you can now specify a
>>new set of options for the range (y) axis, namely the max and min value, the
>>number of ticks to use, and the number of decimals for the axis values. This
>>is useful when e.g. you want to "zoom in" on the upper part of a bar chart in
>>order to highlight differences between org units. Check out the demo chart
>>which shows immunization coverage between 70% and 110%.
>>
>>
>>Documentation | Demo
>>
>>
>>
>>
>>- OpenID authentication: The system can now be configured to authenticate
>>users through OpenID. This is useful to avoid forcing users to create yet
>>another username and password. OpenID is an open standard that allows users
>>to be authenticated through identify providers, such as Google and Yahoo. The
>>OpenID provider can be specified from settings > access.
>>
>>
>>Demo
>>
>>
>>
>>
>>- CSV meta-data import: From import-export module you can now import
>>meta-data in CSV format. Supported objects are currently data elements +
>>groups, category options + groups and organisation units + groups. CSV import
>>is quite handy when doing ad-hoc imports from spreadsheets and the like.
>>
>>
>>Documentation | Demo
>>
>>
>>
>>
>>- More dynamic attributes: You can now assign dynamic attributes to data sets
>>and organisation unit group sets. This is useful when you need to capture
>>additional meta-data information beyond what is offered as fixed attributes
>>on these objects.
>>
>>
>>Demo
>>
>>
>>
>>
>>- Unit intervals: Data elements now have a new numeric value type called unit
>>interval, which is a continuous number between 0 and 1. This is useful e.g.
>>when you require users to enter a percentage in data entry without having to
>>specify validation rules for each data element.
>>
>>
>>Documentation | Demo
>>
>>
>>
>>
>>- Standard comments: Data elements can now define option sets for data value
>>comments. This means that you can use an option set to define a standard,
>>common set of comments to data values, and let users choose an option by
>>clicking inside the data entry cells and using the regular comment field. You
>>can check it out on the demo for the "facility assessment" form for the
>>"facility infrastructure" data elements.
>>
>>
>>Documentation | Demo
>>
>>
>>
>>
>>- Extended sharing: The sharing paradigm has now been applied to a new range
>>of objects: org unit group set, data element group, data element group set,
>>category combination, category, category option, sql view, user role,
>>validation rule group, option set, tracked entity attribute. The sharing
>>solution enables you to give objects public/private access for reading or
>>writing, and share objects with other groups of users.
>>
>>
>>Demo
>>
>>
>>
>>
>>- Minor new features:
>>
>>
>>- Data sets have a new setting for forcing users to enter a comment for
>>missing data values before clicking complete.
>>- When importing events you can now specify the organisation unit identifier
>>scheme, such as code.
>>- Data visualizer now discriminates betweenmissing values and zeros - missing
>>values are displayed as dashes.
>>- DHIS 1.4 import now includes import of validation rules.
>>- A new six-monthly period type with start in April is now supported for data
>>capture and analysis.
>>
>>
>>
>>
>>---
>>
>>
>>
>>
>>This version brings a lot of improvements to the Web API, which is now
>>richer, more stable and better documented. We have continued on our path of
>>making all system aspects available through the Web API, while rewriting our
>>own clients as light-weight apps.
>>
>>
>>
>>
>>- Flexible property filtering: When requesting lists of meta-data objects,
>>the API now allows for flexible filtering on any meta-data property, using
>>any number of filters per query.
>>
>>
>>Documentation
>>
>>
>>
>>
>>- CRUD: All API resources now directly support create, update, get and delete
>>operations, allowing for modifying resources directly instead of going
>>through the meta-data resource - makes the API more in line with REST
>>principles and more convenient to use.
>>
>>
>>Documentation
>>
>>
>>
>>
>>- Meta-data inclusion / exclusion: For each resource you can specify
>>precisely which properties and collections you want to be serialized and
>>included in the response - useful e.g. to avoid loading big collections
>>unnecessarily for objects.
>>
>>
>>Documentation
>>
>>
>>
>>
>>- Tracked entity instance query: A new resource for querying and searching
>>tracked entity instances (e.g. persons, medicines) has been added, which
>>supports free-text queries, queries on specific attributes, programs, program
>>status, events and more.
>>
>>
>>Documentation
>>
>>
>>
>>
>>- Data value set templates: You can now generate data value set templates for
>>specific data sets, making it simpler to create data entry clients.
>>
>>
>>Documentation
>>
>>
>>
>>
>>- JSON data value sets: Data value sets can now be rendered as JSON, in
>>addition to the existing XML support.
>>
>>
>>Documentation
>>
>>
>>
>>
>>- Maintenance: Certain maintenance functions are now available through a
>>maintenance web api resource.
>>
>>
>>Documentation
>>
>>
>>
>>
>>---
>>
>>
>>
>>
>>You can download Live package, WAR file, sample data and source code here:
>>
>>
>>http://www.dhis2.org/downloads
>>
>>
>>
>>
>>You will find documentation and javadocs here:
>>
>>
>>http://www.dhis2.org/documentation
>>
>>
>>
>>
>>
>>The demo application can be found here:
>>
>>
>>http://apps.dhis2.org/demo
>>
>>
>>
>>
>>
>>Full list of features can be found at the Launchpad page:
>>
>>
>>https://launchpad.net/dhis2/+milestone/2.15
>>
>>
>>
>>
>>
>>
>>
>>Enjoy the new features. Feedback is appreciated.
>>
>>
>>
>>
>>best regards,
>>
>>
>>the DHIS 2 development team
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>_______________________________________________
>>Mailing list: https://launchpad.net/~dhis2-devs
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>>
>>
>
>
>
>--
>
>Ismail Yusuf Koleleni,
>Computer Science and Engineering Department
>College of Information and Communication Technology (CoICT)
>University of Dar es Salaam
>+255713732238 / +255788732233
>_______________________________________________
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>
>
--
Riddy NDOMA
Software Developer
Skype: riddyndoma, G+: riddyndoma, FB: riddy ndoma
Twitter: riddyndoma, LinkedIn: riddy ndoma
Blog: http://riddyndoma.blogspot.com/
Vous servir est mon désire (Serving you is my desire
)
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