Literature DB >> 29026458

Safe Opioid Prescription: A SMART on FHIR Approach to Clinical Decision Support.

Shyamashree Sinha1,2, Mark Jensen1,3, Sarah Mullin1, Peter L Elkin1.   

Abstract

Background Prescription opioid pain medication overuse, misuse and abuse have been a significant contributing factor in the opioid epidemic. The rising death rates from opioid overdose have caused healthcare practitioners and researchers to work on optimizing pain therapy and limiting the prescriptions for pain medications. The state of New York has implemented a prescription drug monitoring program(PDMP), amended public health law to limit the prescription of opioids for acute pain and utilized the resources of the state and county health departments to help in curbing this epidemic. The recent publication of guidelines for prescription opioids from CDC [1] and ASIPP (American Society of Interventional pain practitioners) have independently reviewed literature and found good evidence of limiting opioid prescription for acute and chronic non cancer pain. [2] Method Over the last decade, advanced technology has increased the complexity of electronic health records systems leading to the development of Clinical Decision Support Systems (CDSS) to aid the work flow of healthcare providers. There are several systematic reviews on the effectiveness and utility of CDSSs. A common consensus is that commercially and locally developed CDSS are effective in improving patient measures while actual workload improvement and efficient cost-cutting measure are not significantly improved by CDSS. Patient provider involvement in developing CDSS is a determinant of its success and utilization rates. [7] Therefore, a plug and play form of CDSS which can be implemented from an external platform through secure channels would be more effective. Design The Health Level Seven's (HL7) open licensed interoperability standard Fast Health Interoperability Resources (FHIR) has a platform, Substitutable Medical Applications and Reusable Technologies (SMART) for CDSS app development by a third party. [3] We adopted these open source standard to plan to develop an app for accessible and efficient implementation of the recently published guidelines for management of pain with prescription opioid medications.

Entities:  

Year:  2017        PMID: 29026458      PMCID: PMC5630280          DOI: 10.5210/ojphi.v9i2.8034

Source DB:  PubMed          Journal:  Online J Public Health Inform        ISSN: 1947-2579


  9 in total

1.  Development of the Logical Observation Identifier Names and Codes (LOINC) vocabulary.

Authors:  S M Huff; R A Rocha; C J McDonald; G J De Moor; T Fiers; W D Bidgood; A W Forrey; W G Francis; W R Tracy; D Leavelle; F Stalling; B Griffin; P Maloney; D Leland; L Charles; K Hutchins; J Baenziger
Journal:  J Am Med Inform Assoc       Date:  1998 May-Jun       Impact factor: 4.497

2.  SMART on FHIR Genomics: facilitating standardized clinico-genomic apps.

Authors:  Gil Alterovitz; Jeremy Warner; Peijin Zhang; Yishen Chen; Mollie Ullman-Cullere; David Kreda; Isaac S Kohane
Journal:  J Am Med Inform Assoc       Date:  2015-07-21       Impact factor: 4.497

3.  A comparison of the reliability of smartphone apps for opioid conversion.

Authors:  Faye Haffey; Richard R W Brady; Simon Maxwell
Journal:  Drug Saf       Date:  2013-02       Impact factor: 5.606

4.  Evaluation of the content coverage of SNOMED CT: ability of SNOMED clinical terms to represent clinical problem lists.

Authors:  Peter L Elkin; Steven H Brown; Casey S Husser; Brent A Bauer; Dietlind Wahner-Roedler; S Trent Rosenbloom; Ted Speroff
Journal:  Mayo Clin Proc       Date:  2006-06       Impact factor: 7.616

5.  Responsible, Safe, and Effective Prescription of Opioids for Chronic Non-Cancer Pain: American Society of Interventional Pain Physicians (ASIPP) Guidelines.

Authors:  Laxmaiah Manchikanti; Adam M Kaye; Nebojsa Nick Knezevic; Heath McAnally; Konstantin Slavin; Andrea M Trescot; Susan Blank; Vidyasagar Pampati; Salahadin Abdi; Jay S Grider; Alan D Kaye; Kavita N Manchikanti; Harold Cordner; Christopher G Gharibo; Michael E Harned; Sheri L Albers; Sairam Atluri; Steve M Aydin; Sanjay Bakshi; Robert L Barkin; Ramsin M Benyamin; Mark V Boswell; Ricardo M Buenaventura; Aaron K Calodney; David L Cedeno; Sukdeb Datta; Timothy R Deer; Bert Fellows; Vincent Galan; Vahid Grami; Hans Hansen; Standiford Helm Ii; Rafael Justiz; Dhanalakshmi Koyyalagunta; Yogesh Malla; Annu Navani; Kent H Nouri; Ramarao Pasupuleti; Nalini Sehgal; Sanford M Silverman; Thomas T Simopoulos; Vijay Singh; Daneshvari R Solanki; Peter S Staats; Ricardo Vallejo; Bradley W Wargo; Arthur Watanabe; Joshua A Hirsch
Journal:  Pain Physician       Date:  2017-02       Impact factor: 4.965

6.  Documenting and improving opioid treatment: the Prescription Opioid Documentation and Surveillance (PODS) System.

Authors:  Barth L Wilsey; Scott M Fishman; Carlos Casamalhuapa; Asha Gupta
Journal:  Pain Med       Date:  2009-07-06       Impact factor: 3.750

7.  Addressing the sociotechnical drivers of quality improvement: a case study of post-operative DVT prophylaxis computerised decision support.

Authors:  Blake J Lesselroth; Jianji Yang; Judy McConnachie; Thomas Brenk; Lisa Winterbottom
Journal:  BMJ Qual Saf       Date:  2011-01-05       Impact factor: 7.035

8.  SMART on FHIR: a standards-based, interoperable apps platform for electronic health records.

Authors:  Joshua C Mandel; David A Kreda; Kenneth D Mandl; Isaac S Kohane; Rachel B Ramoni
Journal:  J Am Med Inform Assoc       Date:  2016-02-17       Impact factor: 4.497

Review 9.  CDC Guideline for Prescribing Opioids for Chronic Pain--United States, 2016.

Authors:  Deborah Dowell; Tamara M Haegerich; Roger Chou
Journal:  JAMA       Date:  2016-04-19       Impact factor: 56.272

  9 in total
  12 in total

1.  Review, Assess, Classify, and Evaluate (RACE): a framework for studying m-health apps and its application for opioid apps.

Authors:  Upkar Varshney; Neetu Singh; Anu G Bourgeois; Shanta R Dube
Journal:  J Am Med Inform Assoc       Date:  2022-01-29       Impact factor: 4.497

2.  How the presentation of patient information and decision-support advisories influences opioid prescribing behavior: A simulation study.

Authors:  Mustafa I Hussain; Ariana M Nelson; Brent G Yeung; Lauren Sukumar; Kai Zheng
Journal:  J Am Med Inform Assoc       Date:  2020-04-01       Impact factor: 4.497

3.  Biomedical Informatics Investigator.

Authors:  Peter L Elkin; Sarah Mullin; Sylvester Sakilay
Journal:  Stud Health Technol Inform       Date:  2018

4.  Special Commentary: Using Clinical Decision Support Systems to Bring Predictive Models to the Glaucoma Clinic.

Authors:  Brian C Stagg; Joshua D Stein; Felipe A Medeiros; Barbara Wirostko; Alan Crandall; M Elizabeth Hartnett; Mollie Cummins; Alan Morris; Rachel Hess; Kensaku Kawamoto
Journal:  Ophthalmol Glaucoma       Date:  2020-08-15

Review 5.  Contemporary clinical decision support standards using Health Level Seven International Fast Healthcare Interoperability Resources.

Authors:  Howard R Strasberg; Bryn Rhodes; Guilherme Del Fiol; Robert A Jenders; Peter J Haug; Kensaku Kawamoto
Journal:  J Am Med Inform Assoc       Date:  2021-07-30       Impact factor: 7.942

6.  Sustainable Health Informatics: Health Informaticians as Alchemists.

Authors:  Christian Nøhr; Craig E Kuziemsky; Peter L Elkin; Romaric Marcilly; Sylvia Pelayo
Journal:  Stud Health Technol Inform       Date:  2019-08-09

7.  The Imperative for Patient-Centered Clinical Decision Support.

Authors:  Laura Haak Marcial; Joshua E Richardson; Beth Lasater; Blackford Middleton; Jerome A Osheroff; Kensaku Kawamoto; Jessica S Ancker; Danny van Leeuwen; Edwin A Lomotan; Shafa Al-Showk; Barry H Blumenfeld
Journal:  EGEMS (Wash DC)       Date:  2018-05-30

8.  Unintended Consequences of Nationwide Electronic Health Record Adoption: Challenges and Opportunities in the Post-Meaningful Use Era.

Authors:  Tiago K Colicchio; James J Cimino; Guilherme Del Fiol
Journal:  J Med Internet Res       Date:  2019-06-03       Impact factor: 5.428

9.  Assessing the International Transferability of a Machine Learning Model for Detecting Medication Error in the General Internal Medicine Clinic: Multicenter Preliminary Validation Study.

Authors:  Yu Chuan Jack Li; David Westfall Bates; Yen Po Harvey Chin; Wenyu Song; Chia En Lien; Chang Ho Yoon; Wei-Chen Wang; Jennifer Liu; Phung Anh Nguyen; Yi Ting Feng; Li Zhou
Journal:  JMIR Med Inform       Date:  2021-01-27

Review 10.  New Standards for Clinical Decision Support: A Survey of The State of Implementation.

Authors:  Peter Taber; Christina Radloff; Guilherme Del Fiol; Catherine Staes; Kensaku Kawamoto
Journal:  Yearb Med Inform       Date:  2021-09-03
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