HealthyData Blog | Extract Systems

Capturing Test Data in Structured EMR Fields

Copy and Paste Errors in Healthcare

4 Signs You Need an Advanced OCR Solution

Universal Interface for Non-Interfaced Data

Staying "Classy" with Automated Document Handling

The Ugly Side of EMR Systems

Are You Missing Data for Your Clinical Quality Measures (CQMs)?

A Brief History of the EMR

How Document Classification Will Improve HealthIT and Document Control

What if Labs Had an Autopilot Option?

The Secret Sauce Revealed: Discrete Outside Lab Results in the EMR

How Data Abstraction is Going to Change Healthcare Forever

HIPAA Compliance FAQs for Non-Interfaced Data

5 Ways to Master Your Epic EMR

How Can Healthcare Benefit from OCR?

The Ongoing Threat of a HIPAA Breach

The HIPAA Compliance Balancing Act

10.4 Release Update: Automated Pagination

5 Tips to Boost Productivity in the Lab

Are You Compromising Your Clinical Data Management Quality?

HIPAA Violations: Stay Out of the Spotlight

What's Better for your Hospital, Manual or Automatic?

How Bad Data Hurts Quality Improvement in Healthcare

Prevent PHI from Falling into the Wrong Hands

What Makes an Effective QAPI Program: Part 6: A Real Life Example

We Just Need to Get Those Darn Labs Entered!

What Makes an Effective QAPI Program? Part 5: PI Project - Methodology and Statistics

Precision Medicine is Coming, Are Your Records Ready?

What Makes an Effective QAPI Program? Part 4: Transitioning to Process Improvement Projects

What Makes an Effective QAPI Program? Part 3: Considerations and Data Analysis

Medical Errors are Causing Patient Deaths: Here's How We are Saving Lives

What Makes an Effective QAPI Program? Part 2: Objective Measures

What Makes an Effective QAPI Program? Part 1: The 5 Aspects of QAPI

24th Annual UNOS Transplant Management Forum: One More for the Books

Automated PHI redaction makes clinical data management easier

Population health without complete clinical data is like...

Is the lack of lab results interoperability testing your patients?

No lab interfaces?  No problem.

Stop Digging Through Attachments in the EMR Media Tab

Financial impact of clinical data extraction software

How to redact PDF documents the truly proper way

What one medical director saw that shocked her

How to Navigate a Transplant System Improvement Agreement Process Blog #6: Required CMS Deliverables

How to Navigate a Transplant System Improvement Agreement Process Blog #5: The IPRT Visit and Action Plan

Three Things to Do Right Now to Tame Your Lab Results Data Entry Backlog

How to Navigate a Transplant System Improvement Agreement Process Blog #4

A fax machine walks into a doctor's office...the not-so-funny joke about health information exchange

How to Navigate a Transplant System Improvement Agreement Process #3: The System Improvement Agreement

What do a road trip and health information have in common?

Is quality reporting in the EMR age not what you thought it would be?

How to Navigate a Transplant System Improvement Agreement Process #2: You Received a Letter in the Mail, Now What?

Can clinical data abstraction improve care quality?

Is EHR Interoperability Dead on Arrival?

Is Your EMR Inbox Managing You?

Intelligent clinical document classification reclaims critical time lost each day to handling "loose" medical records

How to perform an EMR data conversion without writing a query

How to automate critical results reporting for priority patients

How to Navigate a Transplant System Improvement Agreement Process #1: What does the data mean?

Specialty clinics still using paper? Get that data into your EMR!

Better Healthcare Data: Three things I learned from customers in 2015

Population Health and "good enough" Data

An ounce of prevention: Getting data into the EMR

Mergers & Abstractions: Merging EMRs Feels Like A Forced March

Lab Data Requirements and Health Data Capture

Are "too many clicks" part of your health data challenges?

EMR lab results interoperability: Part seven of seven

Transplant Eval # 5: QAPI, Tracking Data in Transplant Care Software

Transplant Evaluation # 4: Selection Process & the Transplant Database

Reduce errors when getting data into the EHR from non-interfaced sources

Medical Record Software & Accessibility – Where did I leave my notes?

EMR lab results interoperability series: part six of seven

Transplant Evaluation Part 3: Best practices & health data challenges

Transplant Evaluation Process Series Part 2: Initial Evaluation

Matching external lab orders with results in the EHR

Part five of a seven part blog series about EMR - lab results interoperability.

Say yes to fewer transcription errors with intelligent clinical data capture

Part four of a seven part blog series about EMR - lab results interoperability

Deduplication spoken here: Deduplicating external lab results with clinical data capture software

Clinical data stuck in unstructured formats… It’s enough to raise your blood pressure.

No lab interfaces? No problem.

Automating data capture safeguards against clinical data errors

Transplant Evaluation Process: Before the Visit

Part three of a seven part blog series about EMR - lab results interoperability.

Research and PHI – oh, the many issues…

IOM Identifies Health Information Integration as a Failure Point in Diagnostic Process

Healthcare data: does it have to be inconsistent and fragmented?

Transplant Outreach Part 5: How do I manage growth and ensure long term success?

“If I live to be 90 years old, I’ll never have enough interfaces for our labs."

Transplant Outreach Part 4: Educate, Build, Enhance Relationships with the Referral Community

Justify Before you Buy: Automated Capture for Clinical Data - Part 4

Part two of a seven part blog series about EMR - lab results interoperability.

Streamlining Pre-Transplant Data Extraction - deep thoughts while waiting for my morning cup of coffee

Part one of a seven part blog series about EMR - lab results interoperability.

Why do we have EMRs again?

Outreach Workshop Part 3: Establishing your own brick and mortar facility

Justify Before you Buy: Automated Capture for Clinical Data - Part 3

Transplant is Joining the Jet Age. Will test results be able to keep up? (yes, with intelligent data capture)

Health Information Exchange – A Personal Tale

Justify Before you Buy: Automated Capture for Clinical Data - Part 2

Justify Before you Buy: Automated Capture for Clinical Data - Part 1

Outreach Workshop Part 2: Setting up Remote Facilities

Outreach Workshop Part 1: The Big Picture

Assessing Risk of Clinical Data Capture Workflows

What is your staff really doing?

Tracking Data is a Key Component of QAPI Programs

The Needles in the Haystack – Case Finding Tools

Incorporating Continuation of Care Documents into your EHR

Does your new EHR mean more data entry?

Automated and Standardized Data Entry: How is this achieved?

PHI in Medical Research

Transplant program staffing: Right people in right jobs doing right functions in the right way

Clinical Labs: Meeting the needs of providers is a juggling act

18 Years Later… Data Accuracy and Integrity in Healthcare

Interoperability, yes, but with truly accurate data

Data Management for Post-Transplant Follow Up

A Cure for the Interoperability Blues?

Waitlist Management and Improving Transplant Center Outcomes

Computer-Aided Abstraction Assists with CTR shortage

Can advanced data capture solve your employee turnover problem?

Keeping up with Transplant Patient Re-verification

Can advanced data capture help with Data Conversions?

DATA STANDARDIZATION and ACCURACY for Lab Results

We’ve got the right data, but is it in the right place to help us?

Why does it appear that we're entering more data when new information systems come along?

The Cancer Registrar Shortage and the Impact of CoC's CTR Standard 5.1

Patient segmentation and prioritization… based on what data?

What does “we have scanning” mean in your healthcare organization?

Paperless healthcare is not here yet!

Lab Data Integrity and Patienty Safety

Do your transplant physicians have all the information they need?

Lab Interoperability Challenge #1: Data Delay

How Structured Medical Data Helps You and Your Patients

Data Security and the Personal Health Record (PHR)

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