Med Interaction Scanner - Software Development Life Cylce
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Med Interaction Scanner - Software Development Life Cylce
- 1. Med Interaction Scanner (MIS) By Goutham S. Kondeti, Jamie L. Paclar, and Preethi Janagam HLAD-3103-01_24FA Basics of Healthcare Informatics
- 2. Developing The Idea ● Problem Description ● Opportunity and Solution ● Survey ● Organization ● Proposed tasks and guidelines ● Gantt chart ● PERT chart ● Return on investment ● Summary
- 3. Identifying Interactions There are multiple known drug interactions, all of which can have harmful side effects: ● Drug-drug ○ Taking Coumadin and Diflucan can lead to a dangerous increase in bleeding. ● Drug-nonprescription (OTC) ○ Ibuprofen may reduce diuretic effectiveness. ● Drug-food ○ Taking statins and consuming grapefruit juice increases the risk of liver/kidney failure. ● Drug-disease ○ Decongestants, which increase blood pressure, are not suitable for people with hypertension.
- 4. Opportunity Creating a telehealth application, “MIS”: ● Links to EHR ● Scans items that help identify interactions ○ Alerts patient on items that may cause side- effects ○ Offers alternatives to items that may interact ● Sends reminders to take prescriptions on time ● On-dial services in case of adverse reaction
- 5. The Concept:
- 6. Surveys on Identifying Drug Interactions ● Drug-drug ○ Out of 153 prescriptions, drug-drug interactions were found in 67.32% ○ Out of 1052 prescribed drugs, 412 potential interactions were identified. 19.66% minor, 77.67% moderate, 7.19% major ● Drug-over-the-counter (OTC) ○ Out of 53.8% of patients, adverse drug reactions are due to OTC drugs ● Drug-food ○ From 1991-2014, 55 suspected ADRs cases were reported due to the simultaneous use of health- enhancing products (supplements, herbal remedies, vitamins) and drugs ● Drug-disease ○ Older patients who develop diseases later on in life are more likely at risk for drug interactions ○ 43% of elderly patients in a nursing home were prescribed potentially inappropriate medications (PIM)
- 8. Proposed Tasks and Guidelines Planning and Analysis Phase • Strategic leadership meeting • Establishing Project Steering Committee • Feasibility study and cost-benefit analysis • Current system and workflow analysis • Gather user and functional requirements • Vendor selection for OCR and Drug- interaction database
- 9. Proposed Tasks and Guidelines Design, Implementation, and Support • Application and data architecture design • EHR Integration • Security and user-interface design • Develop a project plan and assign tasks • System development and testing • Preparing user guides and FAQs • Go Live • Ongoing support and maintenance
- 10. Gantt Chart
- 11. PERT Chart
- 12. Return on Investment Category Details Amount (USD) Total Project Cost $2,000,000 Labor Costs Salaries, time investments for team members $1,225,781 Software & Technology OCR tools, development platforms, UI/UX tools, project management software, and security tools $150,000 Hardware Costs Cloud hosting, servers, testing devices $60,000 Miscellaneous Costs Marketing, training, travel, legal and compliance $75,000 Contingency Reserve 10% of total cost reserved for unexpected expenses $200,000
- 13. Revenue Projections for Year 1 Source Details Revenue (USD) Patient Subscriptions $10/month per patient, targeting 30,000 patients $3,600,000 Healthcare Partnerships Services for providers, pharmacies, and insurers $500,000 Advertising & Licensing Data licensing, targeted ads with pharma companies $300,000 Total Revenue Combined revenue from all sources $4,400,000
- 14. ROI Calculation Metric Details Amount (USD) Profit (Year 1) Revenue ($4,400,000) - Costs ($2,000,000). $2,400,000 ROI Percentage (Year 1) (Profit / Total Costs) × 100. 120% Year 2 and Beyond Projected recurring costs of $750,000. ROI exceeds 500% by Year 3.
- 15. Summary Drug Interaction Risks: Various research findings have shown that medications can have harmful reactions with other substances, such as food, beverages, or existing health issues, resulting in negative outcomes. Solution Proposed: The Medical Information System (MIS) app streamlines the procedure for patients to recognize possible medication interactions, improving adherence and safety through the employment of Electronic Health Records (EHRs), notifications, and alternative recommendations. Economic Viability: The anticipated revenue of $4.4 million in the initial year, coupled with an estimated expenditure of $2 million, indicates a substantial return on investment (ROI) of 120% in the first year and more than 500% by the third year. Target Market and Revenue Streams: The application is targeted to reach 30,000 patients through partnerships with medical facilities, promotional activities, and cost-effective subscription options, securing a varied revenue stream. Wider Benefits: By focusing on medication interactions, the project seeks to lower medical costs while also improving patient safety, medication compliance, and satisfaction.
- 16. Survey References Chowdhury, K., Hazra, A., Ghosh, S., & Choudhury, S. (2024). Drug use survey to identify significant drug- drug interactions and assess clinical importance in the outpatient setting of a tertiary care hospital. Indian Journal of Pharmacology, 56(3), 172–177. https://doi.org/10.4103/ijp.ijp_483_23 De Boer, A., van Hunsel, F., & Bast, A. (2015). Adverse food–drug interactions. Regulatory Toxicology and Pharmacology, 73(3), 859–865. https://doi.org/10.1016/j.yrtph.2015.10.009 NCQA. (2024). Proposed Changes to Existing Measure for HEDIS ®1 MY 2025: Potentially Harmful Drug- Disease Interactions in Older Adults (DDE). Schmiedl, S., Rottenkolber, M., Hasford, J., Rottenkolber, D., Farker, K., Drewelow, B., Hippius, M., Saljé, K., & Thürmann, P. (2014). Self-Medication with Over-the-Counter and Prescribed Drugs Causing Adverse- Drug-Reaction-Related Hospital Admissions: Results of a Prospective, Long-Term Multi-Centre Study. Drug Safety, 37(4), 225–235. https://doi.org/10.1007/s40264-014-0141-3 Wager, K. A., Lee, F. W., & Glaser, J. P. (2017). Health care information systems: A practical approach for health care management (4th ed.). Jossey-Bass.
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