PURPOSE: Up to 10% of cancers may be associated with an inherited mutation that increases cancer risk. National guidelines emphasize referral for genetic counseling and testing for patients whose personal and/or family history increases their risk of having a hereditary cancer syndrome. METHODS: To increase appropriate referrals for cancer genetic counseling and testing, we piloted an automated alert known as a Best Practice Advisory (BPA) in the electronic health record, Epic, to notify oncology providers when a patient had a personal and/or family history that merited referral to cancer genetics. Epic could not gather the complex clinical data needed for the referral decision automatically, necessitating staff completion of a questionnaire. After educating providers, the BPA was implemented with resources to support its use. RESULTS: Initial interaction with the alert was high but rapidly dwindled, resulting in questionnaire completion in 7.2% of more than 32,000 encounters and 14.9% of patients over 9 months. However, cancer genetics referrals increased 95.9% during the pilot (P < .0001), with 18.5% placed through the BPA and the rest from a non-BPA mechanism. Semistructured interviews with key stakeholders revealed not only general acceptance of the BPA concept but also barriers to completion, such as pressure to room patients quickly in the face of competing BPAs and lack of buy-in from some providers. CONCLUSION: These results suggest that provider engagement and BPA fatigue are significant obstacles to acceptance of a new automated alert. Despite interest in a tool for cancer genetics, the demand on clinical time for this complex BPA was poorly tolerated.
PURPOSE: Up to 10% of cancers may be associated with an inherited mutation that increases cancer risk. National guidelines emphasize referral for genetic counseling and testing for patients whose personal and/or family history increases their risk of having a hereditary cancer syndrome. METHODS: To increase appropriate referrals for cancer genetic counseling and testing, we piloted an automated alert known as a Best Practice Advisory (BPA) in the electronic health record, Epic, to notify oncology providers when a patient had a personal and/or family history that merited referral to cancer genetics. Epic could not gather the complex clinical data needed for the referral decision automatically, necessitating staff completion of a questionnaire. After educating providers, the BPA was implemented with resources to support its use. RESULTS: Initial interaction with the alert was high but rapidly dwindled, resulting in questionnaire completion in 7.2% of more than 32,000 encounters and 14.9% of patients over 9 months. However, cancer genetics referrals increased 95.9% during the pilot (P < .0001), with 18.5% placed through the BPA and the rest from a non-BPA mechanism. Semistructured interviews with key stakeholders revealed not only general acceptance of the BPA concept but also barriers to completion, such as pressure to room patients quickly in the face of competing BPAs and lack of buy-in from some providers. CONCLUSION: These results suggest that provider engagement and BPA fatigue are significant obstacles to acceptance of a new automated alert. Despite interest in a tool for cancer genetics, the demand on clinical time for this complex BPA was poorly tolerated.
Authors: Jason J Saleem; Emily S Patterson; Laura Militello; Marta L Render; Greg Orshansky; Steven M Asch Journal: J Am Med Inform Assoc Date: 2005-03-31 Impact factor: 4.497
Authors: Ranjit Manchanda; Oleg Blyuss; Faiza Gaba; Vladimir Sergeevich Gordeev; Chris Jacobs; Matthew Burnell; Carmen Gan; Rohan Taylor; Clare Turnbull; Rosa Legood; Alexey Zaikin; Antonis C Antoniou; Usha Menon; Ian Jacobs Journal: J Med Genet Date: 2018-04-05 Impact factor: 6.318