Events Calendar

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11:00 AM - Charmalot 2025
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Oracle Health and Life Sciences Summit 2025
2025-09-09 - 2025-09-11    
12:00 am
The largest gathering of Oracle Health (Formerly Cerner) users. It seems like Oracle Health has learned that it’s not enough for healthcare users to be [...]
MEDITECH Live 2025
2025-09-17 - 2025-09-19    
8:00 am - 4:30 pm
This is the MEDITECH user conference hosted at the amazing MEDITECH conference venue in Foxborough (just outside Boston). We’ll be covering all of the latest [...]
AI Leadership Strategy Summit
2025-09-18 - 2025-09-19    
12:00 am
AI is reshaping healthcare, but for executive leaders, adoption is only part of the equation. Success also requires making informed investments, establishing strong governance, and [...]
OMD Educates: Digital Health Conference 2025
2025-09-18 - 2025-09-19    
7:00 am - 5:00 pm
Why Attend? This is a one-of-a-kind opportunity to get tips from experts and colleagues on how to use your EMR and other innovative health technology [...]
Charmalot 2025
2025-09-19 - 2025-09-21    
11:00 am - 9:00 pm
This is the CharmHealth annual user conference which also includes the CharmHealth Innovation Challenge. We enjoyed the event last year and we’re excited to be [...]
Civitas 2025 Annual Conference
2025-09-28 - 2025-09-30    
8:00 am
Civitas Networks for Health 2025 Annual Conference: From Data to Doing Civitas’ Annual Conference convenes hundreds of industry leaders, decision-makers, and innovators to explore interoperability, [...]
TigerConnect + eVideon Unite Healthcare Communications
2025-09-30    
10:00 am
TigerConnect’s acquisition of eVideon represents a significant step forward in our mission to unify healthcare communications. By combining smart room technology with advanced clinical collaboration [...]
Pathology Visions 2025
2025-10-05 - 2025-10-07    
8:00 am - 5:00 pm
Elevate Patient Care: Discover the Power of DP & AI Pathology Visions unites 800+ digital pathology experts and peers tackling today's challenges and shaping tomorrow's [...]
Events on 2025-09-09
Events on 2025-09-17
MEDITECH Live 2025
17 Sep 25
MA
Events on 2025-09-18
OMD Educates: Digital Health Conference 2025
18 Sep 25
Toronto Congress Centre
Events on 2025-09-19
Charmalot 2025
19 Sep 25
CA
Events on 2025-09-28
Civitas 2025 Annual Conference
28 Sep 25
California
Events on 2025-10-05

Events

White Papers

Three Steps to a Successful Migration

a model for value-based care

There are a variety of factors that drive healthcare organizations to either replace or upgrade existing applications. This white paper examines the basic considerations and challenges encountered in migrating data and offers solutions to ensure migrations work within your budget and are completed within your timeframe. The specific examples will be related to Hospital Information System (HIS) replacement or major upgrade. For the purpose of this white paper, replacement or upgrade will be generically referred to as “migration”. However, many challenges and solutions presented herein are not unique to HIS migration. In fact, the basic problems are likely to exist when replacing or upgrading any application that stores complex data.
Data Matters
Healthcare data presents significant challenges to data storage and transfer. To the uninitiated, the complexity may not be readily apparent. You go or are taken to the hospital. The hospital needs to know who you are. Who will pay for your care? What are you allergic to? They need details about pre-existing health problems that would complicate your care. Examinations are performed. Tests are run. Procedures are performed and drugs are administered. At some point you leave. Then somebody pays for it all. Sounds simple, but the accurate flow of the accumulated data through many different systems and applications is far from simple. It is beyond the scope of this white paper to detail all the data complexity involved. However, each step in the process has highly specific data requirements that include significant data dependencies. It is both the specific requirements combined with the intertwined dependencies of this data that make migration difficult. In general, the more complex the data or the workflow that generates it, the greater the likelihood that something about that data will either make it difficult to extract or difficult to import into the new system. When data does not easily extract or import, human resources are required to perform massive amounts of data entry.

3 Steps to a SuccessfulMigration