Defining the Legal Health Record, Ensuring Quality Health Data, and Managing a Part-Paper Part-Electronic Record – Healthcare Information Governance
This post is part of Iron Mountain’s Healthcare Information Governance: Big Picture Predictions and Perspectives Series which looks at the key trends impacting Healthcare Information Governance. Be sure to check out all the entries in this series.
Healthcare information governance (IG) has been important ever since doctors started tracking their patients in paper charts. However, over the past few years, adoption of EHR and other healthcare IT systems has exploded and provided a myriad of new opportunities and challenges associated with governance of a healthcare organization’s information.
Three of the most important health information governance challenges are:
1. Defining the legal health record
2. Ensuring quality health data
3. Managing a part-paper, part-electronic record
Defining the Legal Health Record
In the paper chart world, defining the legal health record was much easier. As we’ve shifted to an electronic world, the volume of data that’s stored in these electronic systems is so much greater. This has created a major need to define what your organization considers the legal health record.
The reality is that each organization now has to define its own legal health record based on CMS and accreditation guidelines, but also based on the specifics of their operation (state laws, EHR options, number of health IT systems, etc). The legal health record will only be a subset of the data that’s being stored by an EHR or other IT system and you’ll need to involve a wide group of people from your organization to define the legal health record.
Doing so is going to become increasingly important. Without a clearly defined legal health record, you’re going to produce an inconsistent release of information. This can lead to major liability issues in court cases where you produce inconsistent records, but it’s also important to be consistent when releasing health information to other doctors or even auditors.
One challenge we face in this regard is ensuring that EHR vendors provide a consistent and usable data output. A lot of thought has been put into how data is inputted into the EHR, but not nearly as much effort has been put into the way an EHR outputs that data. This is a major health information governance challenge that needs to be addressed. Similarly, most EHR vendors haven’t put much thought and effort into data retention either. Retention policies are an important part of defining your legal health record, but your policy is subject to the capabilities of the EHR.
Working with your EHR and other healthcare IT vendors to ensure they can produce a consistent legal health record is one strategic imperative that every healthcare organization should have on their list.
Ensuring Quality Health Data
The future of healthcare is very much going to be data driven. Payments to ACO organizations are going to depend on data. The quality of care you provide using Clinical Decision Support (CDS) systems is going to rely on the quality of data being used. Organizations are going to have new liability concerns that revolve around their organization’s data quality. Real time data interoperability is going to become a reality and everyone’s going to see everyone else’s data without a middleman first checking and verifying the quality of the data before it’s sent.
A great health information governance program led by a clinical documentation improvement (CDI) program is going to be a key first step for every organization. Quality data doesn’t happen over night, but requires a concerted effort over time. Organization need to start now if they want to be successful in the coming data driven healthcare world.
Managing a Part-Paper Part-Electronic Record
The health information world is becoming infinitely more complex. Not only do you have new electronic systems that store massive amounts of data, but we’re still required to maintain legacy systems and those old paper charts. Each of these requires time and attention to manage properly.
While we’d all love to just turn off legacy systems and dispose of old paper charts, data retention laws often mean that both of these will be part of every healthcare organization for many years to come. Unfortunately, most health IT project plans don’t account for ongoing management of these old but important data sources. This inattention often results in increased costs and risks associated with these legacy systems and paper charts.
It should be strategically important for every organization to have a sound governance plan for both legacy IT systems and paper charts. Ignorance is not bliss when one of these information sources is breached because your organization had “forgotten” about them.
The future of reimbursement, costs, quality of care, and liability in healthcare are all going to be linked to an organization’s data. Making sure your data governance house is in order is going to be a major component in the success or failure of your organization. A good place to start is defining the legal health record, ensuring quality health data, and managing a part-paper part-electronic record.
Join our Twitter Chat: “Healthcare IG Predictions & Perspectives”
On January 28th at 12:00 pm Eastern, @IronMtnHealth is hosting a Twitter chat using #InfoTalk to further the dialog. If you have been involved in governance-related projects, we’d love to have you join. What IG initiatives have shown success for you? How have you overcome any obstacles? What do you see as the future of IG? Keep the conversation going during our “Healthcare IG Predictions & Perspectives” #InfoTalk at 12pm Eastern on January 28th.