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Electronic Health Data Holds Potential to Hasten
NDRs
EMR can help pharmaceutical companies reduce research costs and accelerate
time to market for new drugs.
Callum Bir
The author is Director, Life Sciences, Global Industry Business Unit, Oracle
Corporation, Asia Pacific and Japan
Electronic Medical Records (EMR), software that allows the
creation, storage, editing and retrieval of a patient's data on a computer,
and to a lesser extent Electronic/Personal Health Records (EHR/PHR) have been
making strides around the world. Many hospitals or hospital clusters have to
some extent either implemented EMRs or are in the process of doing so. Many
countries around the region are also looking at putting in place the
infrastructure that would support EHR/PHR as well. Countries like Singapore,
Australia, Taiwan, Malaysia and Hong Kong have made significant progress in both
these areas and there will be more to come.
As exciting, but often less reported, however, are the
potential benefits such initiatives can deliver to the life sciences and
biomedical industry. There are significant crossover benefits that take aim at
some of the industry's most vexing challenges-more effective and efficient
identification and recruitment of clinical trial participants and the ability to
simultaneously capture clinical trial data from the electronic health record to
decrease the costs of clinical trials, resulting in faster time-to-market for
new drugs.
Wanted faster, more cost-effective clinical trial
recruitment
With the average cost of developing a new prescription drug
creeping toward US$1 billion and the process often spanning more than a decade,
pharmaceutical manufacturers are continually searching for ways to extend
efficiencies at all stages of the development continuum, allowing them to bring
safe products to market faster and at a lower cost.
Clinical trials, which average $124 million per drug
candidate after accounting for drug failure rates (Di Masi, JA, Hansen, R.W.,
Grabowski, H.G. "The Price of Innovation: New Estimates of Drug Development
Costs," Journal of Health Economics, 2003) and whose costs are rising
faster than pre-clinical research and development activities-are a prime
target for scrutiny. Rising clinical trial costs can be attributed to several
factors, including new challenges related to trial candidate identification and
recruitment.
Clinical trial patient recruitment is also an increasingly
time-consuming process. One study, which looked at 4,000 clinical trials over
five years, discovered that nearly half of the time spent on the trial process
involved patient, site and investigator recruitment. On average, difficulties in
patient enrollment delay 81 percent of all clinical trials from one to six
months, costing pharmaceutical companies as much as $8 million each day. This
figure does not take into account the human costs of such delays in terms of the
inevitable morbidity and mortality when promising new drugs are delayed in
reaching the market.
Connecting EMR and clinical trials
Today, initiatives at individual investigation sites in the
United States, Europe and Asia are revealing glimpses into the potential of
patient's EMR data to transform clinical trial recruitment.
This will require biomedical and life sciences to work
together in terms of information exchange. The pharmaceutical company will
provide physicians, in both the public and the private sector, with information
on the clinical trials currently being conducted, as well as the selection
criteria for the trials. The physicians, on the other hand, could reference a
patient's EMR during a routine examination to determine if the patient meets
eligibility requirement for a particular clinical trial based on the record and
the trial requirements. If a patient matches the criteria for any study, the
physician could immediately collect the additional information required for the
trial from the patient, record the data in the EMR and send an electronic
notification to the relevant party. At that point, screening for the trial is
completed--within a matter of minutes.
By combining electronic health records with data mining
tools, pharmaceutical companies can also have the potential to quickly query the
EMR database to determine the number of potential candidates for a specific
study and to assess the viability of candidates for a specific trial. They can
also potentially and quickly screen large numbers of anonymized electronic
records for potential trial candidates using any number of factors, including
age, sex, co-morbidities, lab results etc.In this way, pharmaceutical companies
could efficiently approach physician groups that they know treat significant
numbers of patients matching a specific trial candidate profile. This method
could be particularly useful when recruiting for trials for drugs intended to
treat rare conditions, as the trial sponsor from the pharmaceutical or
biomedical company could efficiently search for specific criteria. The end
result could be faster and more cost-effective trial participant identification
and recruitment-ultimately accelerating time-to-market.
While the approach outlined above would enable more effective
targeting of physician practices that treat viable candidates, another approach
being advanced would take information on clinical trials directly to the
potential candidates. It would involve the creation of a patient opt-in
mechanism, in which individuals would grant permission to have life sciences
organizations access their health information via the EMR and when launching a
clinical trial, to contact them directly. This approach could go a long way
toward empowering patients to take charge of key health decisions, as well as
streamlining the participant recruitment process. To optimize the success of
this approach, physicians would also need to be notified, in tandem, when trial
sponsor contacts their patients.
Once a patient is enrolled in a trial, researchers could then
incorporate data captured from a specific study as part of the EMR and routine
clinical care by physicians. Automating these processes can help accelerate
clinical trials by streamlining patient enrollment and documentation. If all the
relevant trial and medical information is available to the doctor in the form of
EMR, the physicians are able to make accurate and correct diagnosis 80% of the
time.
Electronic records, an imperative need to overcome hurdles
The conversion from paper records to electronic records in
the healthcare system will be a complex one. Issues such as data privacy, data
protection, regulation and audit have to be addressed. Having said that, the
healthcare and life sciences industries are optimistic about the potential of
electronic health data to transform the delivery of healthcare as well as the
drug development process, including spurring advances in the quest for
personalized and translational treatments and therapies. The critical technology
components needed to enable meaningful exchange of information between the
healthcare and life sciences industry exist today-as do the data mining and
analytical tools needed to interpret data and drive incisive action. By
combining these core technologies with proper planning and vision, electronic
health records offer one of the brightest hopes for the future of the healthcare
and life sciences industries and their quest to save and enhance the quality of
lives.
The views expressed herein are the personal views of the
authors and do not necessarily represent the views of the company they represent
or any of its member firms.
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