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Dec 29, 2010

Great integrations

Failure to address key workflow issues can make for a disastrous EMR implementation. Consider these tips for integrating EMR and radiology systems.

Anyone who's been involved in an electronic medical record (EMR)-to-radiology integration knows full well that the process doesn't begin and end with HL7 interfaces. Unresolved workflow issues can cripple an EMR implementation.

Part of the problem lies with the ambiguity of the term "EMR." A true EMR combines several key functions in the modern health care setting: computerized orders for prescriptions and tests, reporting of test results and physician notes. Sometimes problems occur when the EMR vendor's product forces an organization to make workflow choices that work for one ancillary and not the other (lab systems vs. radiology systems, for example). A good EMR vendor understands the different technical and workflow considerations of these two ancillaries.

Data integrity plays a large role in EMR-to-PACS or EMR-to-RIS [radiology information system] integration. What happens on one system must be communicated to the other systems. To achieve this communication, HL7 interfaces should be bidirectional for radiology orders, status changes, cancellations and result updates.

For the full article click here: http://imaging-radiation-oncology.advanceweb.com/Archives/Article-Archives/Great-Integrations.aspx

Dec 22, 2010

Electronic medical record jobs

Major Industry Job Websites

EMR and HIPAA Job Board - EMR and EHR Related Jobs

Healthcare IT Reps - Healthcare IT Jobs (sales and non-sales jobs)

justEMRJOBS.com - EMR Jobs Career Web site for all EMR related jobs. Best Place to find EMR Jobs.

EMR Jobs - Focused website on EMR Implementation, software development and sales jobs.

Healthcare IT News Job Listing - A website listing a number of Healthcare IT jobs and many EMR jobs available. The site is run by Healthcare IT news.

HIMSS JobMine - Job list sponsored by HIMSS with a bunch of HIT categories of jobs.

med IT jobs - The best set of search features of the ones listed. Categorized by job, company, etc.

Healthcare IT Jobs - Great set of features and a beautiful design.

Healthcare IT Central - Healthcare IT Career Center with Job Board, Content, Candidate and Employer resources.

MedReps.com - Nice place for IT/EMR sales jobs

HISTalk Jobs - Forum for HIT related jobs

Major Job Search Engines
EMR Jobs on indeed

EMR Jobs on Monster

EMR Jobs on Simply Hired

Dec 15, 2010

Hospital EMR stages

The majority of US hospitals are in the early stages of EMR transformation. Currently 19 percent of US hospitals have not achieved Stage 1 and are at Stage 0, 21 percent have achieved Stage 1, 50 percent have achieved stage 2, approximately eight percent have achieved stage 3, approximately two percent percent have achieved Stage 4, and less than one percent of hospitals have achieved stage 5 and stage 6 (see Figure 3).

There are a total of 754 acute care hospitals that have not fully implemented a base of major clinical ancillary department applications (e.g., laboratory, pharmacy, radiology) to qualify for stage 1 designation. This represents approximately 19 percent of the hospitals in the database. Most hospitals occupy the stage 1 and stage 2 levels of the EMR Adoption Model. The combined percentage of hospitals in these two stages is approximately 71 percent.  At this time, there are only 414 US hospitals that are stage 3-6 of the EMR Adoption Model. This shows the tremendous amount of work and investment that must be done by US hospitals to implement clinical systems to enable their participation in EHR initiatives. More importantly, further implementation of higher stage EMR applications will enable the reduction or elimination of medical errors, while providing the digital environment . The higher stages of the model represent the facilitation of not only improved patient care, but also improvements in efficiency and effectiveness with which patient care services are delivered by clinicians. Once we begin to deliver these capabilities within the healthcare organizations, we can begin to focus on sharing patient care information among all of the healthcare stakeholders. Currently, the hype surrounding healthcare IT has the cart before the horse. How can we discuss the potential of EHRs, much less implement them, until we have implemented effective EMRs, not only in hospitals, but in all care delivery organizations including physician practices? 

Click Read More for figures

Difference between EMR and EHR

The market has confused the electronic medical record (EMR) and the electronic health
record (EHR). Government officials, vendors, and consultants have propagated this
confusion, in some cases unintentionally. The definitions that HIMSS Analytics proposes
for these terms are as follows:

Electronic Medical Record: An application environment composed of the clinical data
repository, clinical decision support, controlled medical vocabulary, order entry, computerized
provider order entry, pharmacy, and clinical documentation applications. This environment
supports the patient s electronic medical record across inpatient and outpatient environments, and is used by healthcare practitioners to document, monitor, and manage health care delivery within a care delivery organization (CDO). The data in the EMR is the legal record of what happened to the patient during their encounter at the CDO and is owned by the CDO.

Electronic Health Record: A subset of each care delivery organization s EMR, presently
assumed to be summaries like ASTM s Continuity of Care Record (CCR) or HL7 s Continuity of
Care Document (CCD), is owned by the patient and has patient input and access that spans
episodes of care across multiple CDOs within a community, region, or state (or in some countries, the entire country). The EHR in the US will ride on the proposed National Health Information
Network (NHIN).

image

EMR Adoption Model: A New EMR Penetration Assessment Tool

Understanding the level of EMR capabilities in hospitals is a challenge in the US healthcare IT
market today. HIMSS Analytics has created an EMR Adoption Model that identifies the levels of
EMR capabilities ranging from the initial CDR environment through a paperless EMR
environment. HIMSS Analytics has developed a methodology and algorithms to automatically
score the approximately 4,000 hospitals in our database relative to their IT-enabled clinical
transformation status, to provide peer comparisons for CDOs as they strategize their path to a
complete EMR and participation in an EHR. The stages of the model are as follows:

Stage 0: Some clinical automation may be present, but all three of the major ancillary
department systems for laboratory, pharmacy, and radiology are not implemented.

Stage 1: All three of the major ancillary clinical systems are installed (i.e., pharmacy,
laboratory, radiology).

Stage 2: Major ancillary clinical systems feed data to a clinical data repository (CDR)
that provides physician access for retrieving and reviewing results. The CDR contains a
controlled medical vocabulary, and the clinical decision support/rules engine for
rudimentary conflict checking. Information from document imaging systems may be
linked to the CDR at this stage.

Stage 3: Clinical documentation (e.g. vital signs, flow sheets) is required; nursing notes,
care plan charting, and/or the electronic medication administration record (eMAR)
system are scored with extra points, and are implemented and integrated with the CDR
for at least one service in the hospital. The first level of clinical decision support is
implemented to conduct error checking with order entry (i.e., drug/drug, drug/food,
drug/lab conflict checking normally found in the pharmacy). Some level of medical
image access from picture archive and communication systems (PACS) is available for
access by physicians via the organization s intranet or other secure networks outside of
the radiology department confines.

Stage 4: Computerized Practitioner/Physician Order Entry (CPOE) for use by any
clinician is added to the nursing and CDR environment along with the second level of
clinical decision support capabilities related to evidence based medicine protocols. If one
patient service area has implemented CPOE and completed the previous stages, then this
stage has been achieved.

Stage 5: The closed loop medication administration environment is fully implemented in
at least one patient care service area. The eMAR and bar coding or other auto identification technology, such as radio frequency identification (RFID), are implemented
and integrated with CPOE and pharmacy to maximize point of care patient safety
processes for medication administration.

Stage 6: Full physician documentation/charting (structured templates) is implemented for
at least one patient care service area. Level three of clinical decision support provides
guidance for all clinician activities related to protocols and outcomes in the form of
variance and compliance alerts. A full complement of radiology PACS systems provides
medical images to physicians via an intranet and displaces all film-based images.

Stage 7: The hospital has a paperless EMR environment. Clinical information can be
readily shared via electronic transactions or exchange of electronic records with all
entities within a regional health network (i.e., other hospitals, ambulatory clinics, subacute
environments, employers, payers and patients). This stage allows the HCO to
support the true electronic health record as envisioned in the ideal model.
The majority of US hospitals are in the early stages of EMR transformation. Currently 19
percent of US hospitals have not achieved Stage 1 and are at Stage 0, 21 percent have
achieved Stage 1, 50 percent have achieved stage 2, approximately eight percent have
achieved stage 3, approximately two percent percent have achieved Stage 4, and less than
one percent of hospitals have achieved stage 5 and stage 6 (see Figure 3).

Dec 3, 2010

Dashboards in radiology highlights

Source: http://www.diagnosticimaging.com/practice-management/content/article/113619/1664518

The pressure to get faster, more efficient, and more productive is mounting. Healthcare reform, increasing regulations, and declining reimbursements are bearing down. Radiology departments and imaging centers are looking for ways to improve performance. Dashboards are lighting the way.

Dashboards that analyze data going back months or years show where a facility or department has been. Executive dashboards show whether a facility is aligned with the goals of the facility. They are actually reports, prepared by hand, from data laboriously pulled from PACS or RIS and assembled in a spreadsheet. They provide a retrospective on the past quarter or year, laying the foundation for trending analyses, which can be used to predict the future path of an organization.

Tactical dashboards are different. They uncover problems that need to be fixed and the details necessary to put those fixes in place. They are the glitz of healthcare analytics, displaying information in real-time about key indicators such as scanner volumes or report turnaround times.

Tactical dashboards hold the potential to make daily operations transparent, defining them in terms of metrics that quantify staff productivity, the utilization of scanners, and wait times. The complexity of these processes obscures them from view.
Siemens offers its syngo Portal Executive. This dashboard tool works in concert with syngo software to keep track of referral patterns, analyzing, for example, whether patient flow from key referring physicians is continuing, increasing, or decreasing. Portal Executive can also be used to look for—and find clues to remedy—inefficiencies that are holding back exam volumes. This, however, is retrospective. Kurt Reiff, vice president of image knowledge and management for Siemens Healthcare, is driving the company toward a more ambitious future.

“What we really need is perspective,” Reiff said. “If my business develops in a [particular] direction, how do I have to invest my money? Do I buy a CT or an MR? Where is my best return on investment? I think this is where this is heading.”

In the meantime, the real-time feedback possible with some dashboards offers the opportunity to spot problems in their earliest stages. Needles, bars, or numbers moving into red, yellow, or green provide an instant read on what’s happening in the department or facility.

Carestream’s Digital Dashboard monitors server performance, user volumes, and storage utilization. The dashboard supports Carestream’s RIS/PACS, but also can verify that other vendors’ devices are connected and operating on the network. The data can be presented onscreen or through e-mails and text messages that alert recipients to problems such as a failure in network connectivity or storage issues.

Leslie M. Beidleman uses the Carestream dashboard to ride herd on PACS at about a half dozen hospitals and clinics in the Mercy Health Partners network in Toledo, OH. As regional PACS administrator, Beidleman uses the dashboard to keep tabs on the amount of space available on the facilities’ several servers, as well as to check processes such as archiving and study backup.

“It gives a good quick view of things,” she said.

Those data points can also be manually captured in a spreadsheet for later comparison, a trick that came in handy recently when Beidleman noticed that the number of studies needing backup was increasing. This led to finding the problem on the servers, which brought the number down very quickly.

Productivity, finances, and quality are woven tightly together. If workflow improves, financials go up, as does the quality of services. Reduce the number of retakes by improving scan quality and productivity improves, as does the bottom line. Patient and referring physician satisfaction rise. Demand may rise. Workflow becomes more challenging. Pressure mounts for greater efficiency, which is achieved by optimizing scan volume and minimizing patient wait times.

Demand may vary across several sites of an enterprise, as referring physicians send more or fewer patients later or earlier in the day to one place or another. When managing that enterprise, scheduling changes smooth the flow. Proactive monitoring keeps services on track while trending analyses allow strategic planning to meet future needs through asset utilization.

Such introspection works well when the goal is to improve individual performance. But a myopic view of the world can lead to missed opportunities. With McKesson’s benchmark collaborative, radiology departments can see how they stack up against others that are similar in size, makeup, and procedures. Reports can be customized to include certain specific metrics that have meaning to just your radiology department. This, according to McKesson executives, produces business information about inefficiencies, which can be turned into models that illustrate how those inefficiencies can be fixed. These lead to strategies about how to use staff and equipment more efficiently and effectively.

“It is a gold mine of information about their internal operational performance that they simply did not have before,” said George Kovacs, director of product marketing in McKesson’s Medical Imaging Group.

McKesson’s report allows the user to drill down starting at the most general comparison, a piece of a bar or pie chart, and see what’s underneath. Users can follow evidence that leads to the root cause of an operational inefficiency and then see how different actions, such as those taken by others in the collaborative, may resolve the problem.

Such comparisons provide the context for making strategic decisions. But even such complex and contextual analyses are only that, analyses. The ultimate expression of the dashboard is as a means to solve the problems. The automation that goes into summing up operational data needs to be extended to automatically fix problems rather than simply alert administrators to their presence.

“We want to identify the problem and instantiate the appropriate business logic to fix it,” said Dr. Paul Chang, vice chair of radiology informatics and pathology informatics at the University of Chicago.

For example, rather than programming an electronic dashboard to flash red when patient wait times go beyond a certain point, software might automatically reroute patients among scanners to spread the load.

Business intelligence can play a major role in safety as well, for example, in radiation monitoring. Rather than documenting the number of patients overexposed to radiation and waiting for human intervention to change the protocols, Chang advocates building software that recognizes and then stops the overexposure before it happens.

Today’s radiology dashboards are informational at best. The widespread adoption of RIS and PACS provides operational data to be tapped. Ros believes there is tremendous opportunity for vendors to create dashboards that deliver comprehensive operational analyses. But Geis thinks it may be awhile before this opportunity is fully realized.

When they do arrive, dashboards will provide the means to several ends: information that can be used by radiology departments and imaging facilities to increase productivity, financial performance, and quality.