EHR and Health IT Consulting
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EHR and Health IT Consulting
Technical Doctor's insights and information collated from various sources on EHR selection, EHR implementation, EMR relevance for providers and decision makers
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Pro-Active EHR Optimization is a Necessity

Pro-Active EHR Optimization is a Necessity | EHR and Health IT Consulting | Scoop.it

Everyone knows that routine maintenance is required to keep a home, car, or even a person in good shape and performing well. The same is true in regards to our electronic health records (EHR). To meet the requirements and capitalize on the benefits of meaningful use, the US market has seen an unprecedented amount of EHR implementations. However, many organizations aren’t seeing the expected benefits. Factors such as rushed, system-focused implementations, lack of standardization or focus on workflows, end-user and physician dissatisfaction, high ticket, and request volumes, and/or sub-optimal training are major drivers for optimization needs. Routine maintenance and pro-active EHR optimization are a constant and ongoing necessity and should be treated that way from a planning, budgeting and prioritization perspective. Here are some key areas to consider in a post-EHR go live world.

 

Thorough Assessment, Prioritization, and Management of Current Issues and Complaints

 

Most organizations use a ticketing system to log EHR issues. Following an EHR activation, ticket volumes often increase to the point where an organization cannot manage the volume and cannot differentiate priority issues from common, organizational issues. This is exacerbated by the constant “pull” of resources that are now needed for other organizational objectives and projects.

The truth is, your EHR “project” doesn’t go away when the system goes live. Rather, a program management organization, complete with an integrated Governance structure, must remain to manage upgrades, maintenance, and optimization. A great first step is understanding issues and prioritizing ongoing efforts for your teams and your organization. A thorough review, cleanup, validation, and categorization of all issues should be conducted. This requires the establishment and ongoing execution of a ticket intake and review process that identifies the priority and necessity, understands the source of the problem (e.g., user proficiency, workflow inefficiency, build defects) and reconciles that against the objectives of the organization. It is critical to include operational and clinical leaders in this process and often requires time for interviewing and even shadowing clinical and operational users to fully understand and accurately document issues.

 

Categorizing, Prioritizing, Integrating and Approving Effort

Most issues can be categorized into four areas:

 

Break/Fix
Break/fix are issues with the software functionality that need to be fixed by either the IT analysts or vendor.

 

System Enhancement
Enhancement issues pertain to desired functionality that is either not yet developed by the vendor or not yet implemented by the IT department.


Workflow
Workflow issues arise when a process or procedure is inefficient.

 

Training
Training issues occur when the system is functioning as designed but the end user is unaware of how to use it properly. Training may also be needed to teach advanced functionality.


After categorization, issues should be prioritized. The prioritization process should be carried out through the Program Management and Governance structure and is typically not simply an “IT” process. Understanding the issues and requests, prioritizing them against the organizational objectives and then including them in the ongoing capital and operating plans allows adequate focus, funding, and validation for the work. This may be simple and quick – break/fix items, refresher training, etc. However, the focus may be more complex and cross multiple areas of the organization – new system functionality, upgrades, workflow redesign, etc. The latter often requires the organization to move back into “project mode” with a detailed timeline, project plan and in some cases, capital funding.

 

Optimization Implementation and Ongoing Maintenance

Now that a structure is in place, resources are adequately funded and work is prioritized, the organization can move forward knowing that the EHR can be properly maintained, but also leveraged for its true functionality. There will be many moving parts that may involve system configuration, system upgrades, workflow redesign, and end user training. Having a dedicated optimization team and project manager that interacts and coordinates with the key operational and clinical leaders is key to ensuring success, but also aides in optimizing an EHR solution that supports the organization’s objectives as well as the patient experience.

 

Optimum Healthcare IT provides optimization services that are customized to meet our client’s needs whether a full assessment and plan are needed or just hands on resources. An example of our streamlined methodology is shown below:

Technical Dr. Inc.'s insight:
Contact Details :

inquiry@technicaldr.com or 877-910-0004
www.technicaldr.com

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5 Steps to EHR Data Conversion

5 Steps to EHR Data Conversion | EHR and Health IT Consulting | Scoop.it

EHR data conversion is the process of moving patient data from legacy EHR system to a new EHR system. While automated EHR data conversion seems like a complex affair, it doesn’t have to be. When an experienced vendor partners with strong internal leadership, the data conversion will follow a proven, 5-step process, and the data will undergo a failsafe ETL.

Why Change EHR?

Healthcare providers are expected to document patient encounters. Traditionally, this documentation has been completed on paper and stored in file cabinets. However, the last decade has seen significant growth in provider adoption of Electronic Health Records (EHRs). The combination of government incentives, advances in technology, and improved outcomes and operations have fueled this growth.

When healthcare providers have access to complete and accurate information, patients receive better care and have better outcomes. EHRs improve providers’ ability to diagnose disease and reduce medical errors. EHRs further help providers meet patient demands, provide decision support, improve communication, and aid in regulatory reporting.

While EHR adoption has increased, so too has the need to change systems while maintaining the access to and integrity of patient health information. Healthcare administrators point to provider dissatisfaction and mergers and acquisitions as the primary contributors for changing EHR providers within their organization. In preparing for the implementation of a new EHR, healthcare organizations have been grappling with how to handle the data in the legacy systems.

What is EHR Data Conversion?

In response to this challenge, many healthcare organizations are turning to automated EHR data conversion to maintain data integrity. An automated ETL (Extract, Transform, Load) process avoids risks related to data manipulation, because not a single patient record is touched.

 

In an automated conversion, source values are extracted from both the legacy (source) system and new (target) system to create a conversion map. That map is entered into a conversion utility software. Data from the legacy system is run through the conversion utility and transformed to meet the needs of the new system. While it is being transformed, the conversion utility is monitoring for errors and estimated completion. After the data has met the standards, it is then loaded into the new system.

The process of an automated EHR data conversion may seem like a complicated and difficult undertaking. It doesn’t have to be when it is handled by an experienced vendor working with strong internal leadershipundergoing a recognized data conversion process.

5 Steps to EHR Data Conversion

1. Discovery

During the discovery phase of the process, the healthcare organization team will play a large role. An EHR vendor will ask internal IT staff to extract all data from the current system. Working together with an internal designated leader, IT staff, and Physicians Advisory Committee (PAC), the data conversion vendor will work to identify how much data is available, what data needs to be converted, and the accuracy of the legacy data.

2. Scope Definition

The scope definition phase of the process is the point at which both parties come to an agreement on which portions of the data need to be converted, the method of the conversion, and the prioritization of the data. During this time, the two teams should schedule time to review the records, format them to meet the new formatting requirements, and set the processes to updated record fields not available in the conversion.

3. Testing

Once the scope has been fully defined, and the formatting requirements are completely understood, the primary responsibility of the conversion then shifts to the vendor. Based on the input gathered during the scope definition step, the data architects working for the vendor will map the data fields and formatting from the old system to equivalent data fields and formatting in the new systems. After the map has been created, the data architects upload the test conversion data to a testing site.

4. Validation

This step is a shared responsibility between the healthcare organization and EHR data conversion vendor. Once the data has been loaded to the test site, the data architects validate the data. Then the healthcare organization leaders review the content, validate the records, and sign off on the final data set. This step may require several cycles. However, it is imperative for the success of the conversion.

5. Migration

Once the data has been validated, the vendor will executive the final migration. While the data is migrating, the vendor’s conversion utility should be monitoring total errors, parsing errors, mapping misses, percent complete, date/time to finish, and success rate. When all the data is converted and migrated to the new system, the healthcare organization will go live!

Throughout the EHR data conversion process, healthcare organizations are tasked with making important, and often tough, decisions about how to handle data, the methods of conversion, and data prioritization. It is important that healthcare organizations plan ahead, schedule the necessary time, and work closely with EHR data conversion vendors who are well versed in the each step of the process.

Technical Dr. Inc.'s insight:
Contact Details :

inquiry@technicaldr.com or 877-910-0004
www.technicaldr.com

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