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PatientLocate℠ for Clinical Research
                                                                     KDH Systems, Inc.
"Five percent of cancer patients now participate in clinical trials. Doubling that number would decrease the time required for trial
completions from around four years to one year." — Ezekiel Emanuel, MD, former White House Healthcare Policy Advisor

Overview
One of the most significant problems in clinical research is
finding patients to participate in studies and trials. Delays in
finding patients can have a major financial impact, both on
organizations performing research and on bio-pharmaceutical
companies that need research results to bring new drugs and
devices to market.
                      TM
KDH’s PatientLocate software provides automated pre-
screening of the patient flow in practices, clinics, or
institutions, pro-actively notifying staff when new research
candidates are found. This HIPAA-compliant methodology has
been documented in peer-reviewed publications to increase
referral rates by up to2,3
                       1
                         2000% and to increase enrollment
rates by up to 900%.       By exploiting the real-time-stream of
patient data produced by healthcare providers’ clinical                               PatientLocate enables pre-encounter, within-encounter, and
systems, PatientLocate increases recruitment rates while                              post-encounter recruitment methodologies. PatientLocate
reducing the cost to enroll each patient, compared to current                         can also be used to compile registries of patients based on
best-practice methodologies.                                                          their clinical profiles.

Key Benefits to Research Sites                                                        How PatientLocate Works
 Determine study feasibility using data, not guesswork.                              When a healthcare provider joins the PatientLocate network,
 Obtain an advantage over competitors in sponsor site                                KDH becomes a HIPAA Business Associate of the provider,
  selection and in competitive enrollment scenarios.                                  guaranteeing compliance with the organization’s privacy
 Increase recruitment rate while decreasing staff costs.                             practices in handling clinical data. Then KDH dedicates a
 Identify research candidates within minutes of                                      PatientLocate computer server to hold that provider’s data.
  presentation, without constant data review by staff.                                The server can be a physical computer system or a virtual
 Substantially reduce screen-fail costs compared to                                  server, deployed in either the healthcare provider’s data
  advertising or third-party databases.                                               center or the PatientLocate data center. No matter where
 Substantially increase research referral rates compared to                          and how the PatientLocate server is deployed, all protected
  conventional outreach techniques (reference cards,                                  health information (PHI) physically remains on the server, and
  newsletters, lunch-and-learn, etc.)                                                 is never transmitted elsewhere. The PatientLocate server is
 Reduce the likelihood of study failure due to inability to                          configured and managed remotely by KDH personnel, with no
  recruit.                                                                            maintenance required by provider IT staff.
 Make studies economically feasible when manpower costs
  required for adequate enrollment would otherwise be                                 The PatientLocate server builds patient profiles from real-
  prohibitive.                                                                        time clinical data produced by healthcare providers’ clinical
                                                                                      systems. This data includes demographics, observations, labs,
PatientLocate Examples                                                                orders, prescriptions, and procedures. Any numeric or textual
                                                                                      data available electronically – for example, via the industry-
PatientLocate is designed to support patient recruitment for                          standard HL7 protocol supported by all major Electronic
different medical specialties, different clinical settings, and                       Medical Record (EMR) vendors – can be used to create
different enrollment workflows. Here are three examples:                              patient profiles.
 In an oncology clinic seeing two hundred patients per day,                          Providing an initial set of HL7 data feeds to PatientLocate
  PatientLocate uses diagnoses, previous orders, and pre-visit                        typically requires a few man-days of effort by provider IT
  lab results to identify in advance the two or three specific                        staff. KDH’s technology then adapts the PatientLocate server
  patients that are candidates for a second-line treatment                            for the provider’s unique data environment. Recruiting for
  regimen.                                                                            the first study normally begins within the first several weeks
 In an urgent care setting, PatientLocate alerts the staff in                        after the PatientLocate server is deployed.
  real time of the specific walk-in patients are candidates for
  an infectious disease study, so should be offered study                             To have PatientLocate recruit for a new study, KDH works
  participation as an alternative to a disqualifying standard of                      with the study’s staff to develop the recruitment criteria used
  care antibiotic.                                                                    to identify research candidates. The criteria are specified
 In an inpatient study with highly specific inclusion and                            using conditions defined by numeric, coded, or free-text
  exclusion criteria and tight time constraints, PatientLocate's                      elements of clinical data. KDH provides analytics that allow
  24x7 data monitoring eliminates the need for continuous                             research staff to estimate the specificity and selectivity of
  chart reviews by study coordinators, and ensures that no                            proposed recruitment criteria. This allows the investigator to
  potential candidates are missed.                                                    choose the appropriate tradeoff between recruitment rate
                                                                                      and screen-fail rate for the study, or to determine if the study
1
  Embi PJ, et al. EHR-based clinical trial alert effects on recruitment to a          is feasible at all.
neurology trial across settings. AMIA Summits Transl Sci Proc; March 2010.            Once the new study’s recruitment criteria are determined,
2
  Herasevich, V. et al., Enrollment into a time sensitive clinical study in the       KDH updates the PatientLocate servers for all sites whose
critical care setting, JAMIA 2011;18:639-644.                                         patients will be considered for the study. The automated
3
  Embi, P. et al., Effect of a Clinical Trial Alert System on Physician               recruitment process for the study then begins.
Participation in Trial Recruitment, Arch Intern Med 2005;165:2272-2277.

Copyright © 2012 KDH Systems, Inc.                                                1                                             http://kdhsystems.com
As PatientLocate updates its patient profiles, they are                  For large multi-site research studies, PatientLocate
continuously matched against the recruitment criteria for all             provides order-of-magnitude savings over EMR alerting,
site studies. When a matching patient profile is found – for              because recruitment criteria are configured only once per
example, as the results of lab tests become available –                   study. EMR alerting requires study criteria to be configured
designated staff members can be immediately notified,                     separately for each study site. The impact is magnified
through paging, text messaging, or email. Staff then uses                 because each protocol change or refinement of
PatientLocate's workflow-enabled applications to                          recruitment criteria requires a separate technical task to
collaboratively manage the enrollment of each patient.                    update the criteria at all study sites.
The PatientLocate methodology is HIPAA-compliant because                Mass Media, Patient Databases, and Internet. Unlike
until the patient gives consent to be contacted for research,           direct-to-patient advertising, proprietary patient databases,
PHI is disclosed only to workforce members involved in care             or patient Internet sites, PatientLocate recruiting is based on
delivery. PatientLocate enhances patient privacy because                detailed, up-to-the-minute patient medical data. As a result:
only those patients that pass its technology screen will have            Screen-fail costs are substantially reduced because sites
their personal information viewed by staff or volunteers.                 see far fewer non-qualified patients.
                                                                         Costly campaign creation, media buys, and call centers are
Why PatientLocate Is Better                                               not required.
PatientLocate offers significant advantages over other patient           Patients can be found before their condition has changed
recruitment methodologies.                                                to make them no longer eligible.
                                                                         A discussion about participation can occur within the
Medical Chart Review. PatientLocate’s automated real-                     episode of care, when there is the greatest level of patient
time screening offers several advantages over the standard                and physician engagement. The ability of a patient to
approach of staff review of patient charts.                               discuss a trial with their physician has been shown to be
 Automated real-time screening finds more research                       critical in the decision to participate.
  candidates because it continuously reviews each element
  of patient medical data on a 24x7 basis, and immediately              Studies currently using other methodologies do not have to
  notifies staff when the data indicates a patient is a research        give them up. PatientLocate can import other patient lists
  candidate. This allows trial participation to be considered           and merge them with the stream of candidates identified
  before disqualifying care is given.                                   through real-time screening.
 Automated real-time screening reduces staff costs, since
  only patients that pass the automated review need to be
                                                                        Support for Multi-Site Trials
  examined by research staff. The reduction in the FTE’s                PatientLocate allows study personnel to manage patient
  required for a study can be substantial.                              recruitment for the largest multi-site trials. The PatientLocate
 Automated real-time screening enhances the performance                server for each site translates the patient recruitment criteria
  of referral networks. The increase in yield has been                  for the study into detailed tests appropriate for the site's
  documented in peer-reviewed publications, reporting up to             unique data environment. This makes PatientLocate cost-
  a 20x4 greater referral rate, and a 9x greater enrollment             effective for large trials, unlike EMR-based approaches that
  rate. When candidates are found at a referral site,                   require expensive custom programming for each study site.
  PatientLocate can notify a remote study coordinator who
  can take ownership of the recruitment effort, reducing the            For managing the trial, PatientLocate provides study
  burden on local clinical staff. This is a far more effective          managers a dashboard that tracks patients from the point
  approach than the usual approach of lunch-and-learn,                  where they have been identified as research candidates
  reminder cards, flyers, and newsletters.                              through either successful enrollment or a non-participation
 Automated real-time screening allows larger and more                  decision. Individual study coordinators also have a
  diverse patient populations to participate in research,               dashboard, but only their own patients are visible.
  because it can effectively find candidates at locations
  without on-site research staff.
Electronic Medical Record Search. PatientLocate’s
continuous, real-time methodology has several advantages
over generating lists of study candidates by searching
Electronic Medical Record (EMR) systems.
 By providing a continuous stream of candidates, rather
  than data available at a single point in time, PatientLocate
  allows the recruitment workflow to begin immediately
  after a patient’s data indicates he or she is a research
  candidate. As discussed above, this allows trial
  participation to be considered before disqualifying care is
  given.
 The burden of taking action does not fall on staff to
  continually check reports to find new patients or on
  physicians receiving unwanted alerts. Workflow-enabled                PatientLocate can also be used by trial sponsors to estimate
  applications are available to all personnel with a role in the        the local prevalence of specific conditions. This helps
  recruitment process, not just those with access to the EMR.           sponsors fine-tune inclusion and exclusion criteria, and make
 The process of configuring the EMR to find patients for a             critical site selection decisions.
  study can be highly labor-intensive and require a significant
  degree of technical skill. As a result of the substantial level
                                                                        Conclusion
  of effort required for each study, EMR-based alerting for             KDH real-time candidate screening has been in production at
  recruitment is not cost-effective for many studies.                   UC San Francisco for the past several years. Over 450,000
  In contrast, since PatientLocate is highly automated and              encounters have been screened, and more than 15,000
  based on a library of pre-defined medical conditions, it is           patients have been placed into research studies and clinical
  cost-effective even for small studies.                                trials.
                                                                        For more information on how your organization can
4
    See references on previous page.
                                                                        accelerate clinical research by using PatientLocate, contact
                                                                        KDH Systems at clinical@kdhsystems.com.
Copyright © 2012 KDH Systems, Inc.                                  2                                                      CR201209191

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Patient Locate For Clinical Research

  • 1. PatientLocate℠ for Clinical Research KDH Systems, Inc. "Five percent of cancer patients now participate in clinical trials. Doubling that number would decrease the time required for trial completions from around four years to one year." — Ezekiel Emanuel, MD, former White House Healthcare Policy Advisor Overview One of the most significant problems in clinical research is finding patients to participate in studies and trials. Delays in finding patients can have a major financial impact, both on organizations performing research and on bio-pharmaceutical companies that need research results to bring new drugs and devices to market. TM KDH’s PatientLocate software provides automated pre- screening of the patient flow in practices, clinics, or institutions, pro-actively notifying staff when new research candidates are found. This HIPAA-compliant methodology has been documented in peer-reviewed publications to increase referral rates by up to2,3 1 2000% and to increase enrollment rates by up to 900%. By exploiting the real-time-stream of patient data produced by healthcare providers’ clinical PatientLocate enables pre-encounter, within-encounter, and systems, PatientLocate increases recruitment rates while post-encounter recruitment methodologies. PatientLocate reducing the cost to enroll each patient, compared to current can also be used to compile registries of patients based on best-practice methodologies. their clinical profiles. Key Benefits to Research Sites How PatientLocate Works  Determine study feasibility using data, not guesswork. When a healthcare provider joins the PatientLocate network,  Obtain an advantage over competitors in sponsor site KDH becomes a HIPAA Business Associate of the provider, selection and in competitive enrollment scenarios. guaranteeing compliance with the organization’s privacy  Increase recruitment rate while decreasing staff costs. practices in handling clinical data. Then KDH dedicates a  Identify research candidates within minutes of PatientLocate computer server to hold that provider’s data. presentation, without constant data review by staff. The server can be a physical computer system or a virtual  Substantially reduce screen-fail costs compared to server, deployed in either the healthcare provider’s data advertising or third-party databases. center or the PatientLocate data center. No matter where  Substantially increase research referral rates compared to and how the PatientLocate server is deployed, all protected conventional outreach techniques (reference cards, health information (PHI) physically remains on the server, and newsletters, lunch-and-learn, etc.) is never transmitted elsewhere. The PatientLocate server is  Reduce the likelihood of study failure due to inability to configured and managed remotely by KDH personnel, with no recruit. maintenance required by provider IT staff.  Make studies economically feasible when manpower costs required for adequate enrollment would otherwise be The PatientLocate server builds patient profiles from real- prohibitive. time clinical data produced by healthcare providers’ clinical systems. This data includes demographics, observations, labs, PatientLocate Examples orders, prescriptions, and procedures. Any numeric or textual data available electronically – for example, via the industry- PatientLocate is designed to support patient recruitment for standard HL7 protocol supported by all major Electronic different medical specialties, different clinical settings, and Medical Record (EMR) vendors – can be used to create different enrollment workflows. Here are three examples: patient profiles.  In an oncology clinic seeing two hundred patients per day, Providing an initial set of HL7 data feeds to PatientLocate PatientLocate uses diagnoses, previous orders, and pre-visit typically requires a few man-days of effort by provider IT lab results to identify in advance the two or three specific staff. KDH’s technology then adapts the PatientLocate server patients that are candidates for a second-line treatment for the provider’s unique data environment. Recruiting for regimen. the first study normally begins within the first several weeks  In an urgent care setting, PatientLocate alerts the staff in after the PatientLocate server is deployed. real time of the specific walk-in patients are candidates for an infectious disease study, so should be offered study To have PatientLocate recruit for a new study, KDH works participation as an alternative to a disqualifying standard of with the study’s staff to develop the recruitment criteria used care antibiotic. to identify research candidates. The criteria are specified  In an inpatient study with highly specific inclusion and using conditions defined by numeric, coded, or free-text exclusion criteria and tight time constraints, PatientLocate's elements of clinical data. KDH provides analytics that allow 24x7 data monitoring eliminates the need for continuous research staff to estimate the specificity and selectivity of chart reviews by study coordinators, and ensures that no proposed recruitment criteria. This allows the investigator to potential candidates are missed. choose the appropriate tradeoff between recruitment rate and screen-fail rate for the study, or to determine if the study 1 Embi PJ, et al. EHR-based clinical trial alert effects on recruitment to a is feasible at all. neurology trial across settings. AMIA Summits Transl Sci Proc; March 2010. Once the new study’s recruitment criteria are determined, 2 Herasevich, V. et al., Enrollment into a time sensitive clinical study in the KDH updates the PatientLocate servers for all sites whose critical care setting, JAMIA 2011;18:639-644. patients will be considered for the study. The automated 3 Embi, P. et al., Effect of a Clinical Trial Alert System on Physician recruitment process for the study then begins. Participation in Trial Recruitment, Arch Intern Med 2005;165:2272-2277. Copyright © 2012 KDH Systems, Inc. 1 http://kdhsystems.com
  • 2. As PatientLocate updates its patient profiles, they are  For large multi-site research studies, PatientLocate continuously matched against the recruitment criteria for all provides order-of-magnitude savings over EMR alerting, site studies. When a matching patient profile is found – for because recruitment criteria are configured only once per example, as the results of lab tests become available – study. EMR alerting requires study criteria to be configured designated staff members can be immediately notified, separately for each study site. The impact is magnified through paging, text messaging, or email. Staff then uses because each protocol change or refinement of PatientLocate's workflow-enabled applications to recruitment criteria requires a separate technical task to collaboratively manage the enrollment of each patient. update the criteria at all study sites. The PatientLocate methodology is HIPAA-compliant because Mass Media, Patient Databases, and Internet. Unlike until the patient gives consent to be contacted for research, direct-to-patient advertising, proprietary patient databases, PHI is disclosed only to workforce members involved in care or patient Internet sites, PatientLocate recruiting is based on delivery. PatientLocate enhances patient privacy because detailed, up-to-the-minute patient medical data. As a result: only those patients that pass its technology screen will have  Screen-fail costs are substantially reduced because sites their personal information viewed by staff or volunteers. see far fewer non-qualified patients.  Costly campaign creation, media buys, and call centers are Why PatientLocate Is Better not required. PatientLocate offers significant advantages over other patient  Patients can be found before their condition has changed recruitment methodologies. to make them no longer eligible.  A discussion about participation can occur within the Medical Chart Review. PatientLocate’s automated real- episode of care, when there is the greatest level of patient time screening offers several advantages over the standard and physician engagement. The ability of a patient to approach of staff review of patient charts. discuss a trial with their physician has been shown to be  Automated real-time screening finds more research critical in the decision to participate. candidates because it continuously reviews each element of patient medical data on a 24x7 basis, and immediately Studies currently using other methodologies do not have to notifies staff when the data indicates a patient is a research give them up. PatientLocate can import other patient lists candidate. This allows trial participation to be considered and merge them with the stream of candidates identified before disqualifying care is given. through real-time screening.  Automated real-time screening reduces staff costs, since only patients that pass the automated review need to be Support for Multi-Site Trials examined by research staff. The reduction in the FTE’s PatientLocate allows study personnel to manage patient required for a study can be substantial. recruitment for the largest multi-site trials. The PatientLocate  Automated real-time screening enhances the performance server for each site translates the patient recruitment criteria of referral networks. The increase in yield has been for the study into detailed tests appropriate for the site's documented in peer-reviewed publications, reporting up to unique data environment. This makes PatientLocate cost- a 20x4 greater referral rate, and a 9x greater enrollment effective for large trials, unlike EMR-based approaches that rate. When candidates are found at a referral site, require expensive custom programming for each study site. PatientLocate can notify a remote study coordinator who can take ownership of the recruitment effort, reducing the For managing the trial, PatientLocate provides study burden on local clinical staff. This is a far more effective managers a dashboard that tracks patients from the point approach than the usual approach of lunch-and-learn, where they have been identified as research candidates reminder cards, flyers, and newsletters. through either successful enrollment or a non-participation  Automated real-time screening allows larger and more decision. Individual study coordinators also have a diverse patient populations to participate in research, dashboard, but only their own patients are visible. because it can effectively find candidates at locations without on-site research staff. Electronic Medical Record Search. PatientLocate’s continuous, real-time methodology has several advantages over generating lists of study candidates by searching Electronic Medical Record (EMR) systems.  By providing a continuous stream of candidates, rather than data available at a single point in time, PatientLocate allows the recruitment workflow to begin immediately after a patient’s data indicates he or she is a research candidate. As discussed above, this allows trial participation to be considered before disqualifying care is given.  The burden of taking action does not fall on staff to continually check reports to find new patients or on physicians receiving unwanted alerts. Workflow-enabled PatientLocate can also be used by trial sponsors to estimate applications are available to all personnel with a role in the the local prevalence of specific conditions. This helps recruitment process, not just those with access to the EMR. sponsors fine-tune inclusion and exclusion criteria, and make  The process of configuring the EMR to find patients for a critical site selection decisions. study can be highly labor-intensive and require a significant degree of technical skill. As a result of the substantial level Conclusion of effort required for each study, EMR-based alerting for KDH real-time candidate screening has been in production at recruitment is not cost-effective for many studies. UC San Francisco for the past several years. Over 450,000 In contrast, since PatientLocate is highly automated and encounters have been screened, and more than 15,000 based on a library of pre-defined medical conditions, it is patients have been placed into research studies and clinical cost-effective even for small studies. trials. For more information on how your organization can 4 See references on previous page. accelerate clinical research by using PatientLocate, contact KDH Systems at clinical@kdhsystems.com. Copyright © 2012 KDH Systems, Inc. 2 CR201209191